BEGIN:VCALENDAR VERSION:2.0 PRODID:-//CROSSDA - ECPv6.17.4.1//NONSGML v1.0//EN CALSCALE:GREGORIAN METHOD:PUBLISH X-WR-CALNAME:CROSSDA X-ORIGINAL-URL:https://www.crossda.hr X-WR-CALDESC:Događaji za CROSSDA REFRESH-INTERVAL;VALUE=DURATION:PT1H X-Robots-Tag:noindex X-PUBLISHED-TTL:PT1H BEGIN:VTIMEZONE TZID:Europe/Zagreb BEGIN:DAYLIGHT TZOFFSETFROM:+0100 TZOFFSETTO:+0200 TZNAME:CEST DTSTART:19830327T010000 END:DAYLIGHT BEGIN:STANDARD TZOFFSETFROM:+0200 TZOFFSETTO:+0100 TZNAME:CET DTSTART:19830925T010000 END:STANDARD BEGIN:DAYLIGHT TZOFFSETFROM:+0100 TZOFFSETTO:+0200 TZNAME:CEST DTSTART:19840325T010000 END:DAYLIGHT BEGIN:STANDARD TZOFFSETFROM:+0200 TZOFFSETTO:+0100 TZNAME:CET DTSTART:19840930T010000 END:STANDARD BEGIN:DAYLIGHT TZOFFSETFROM:+0100 TZOFFSETTO:+0200 TZNAME:CEST DTSTART:19850331T010000 END:DAYLIGHT BEGIN:STANDARD TZOFFSETFROM:+0200 TZOFFSETTO:+0100 TZNAME:CET DTSTART:19850929T010000 END:STANDARD BEGIN:DAYLIGHT TZOFFSETFROM:+0100 TZOFFSETTO:+0200 TZNAME:CEST 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DTSTART:20160327T010000 END:DAYLIGHT BEGIN:STANDARD TZOFFSETFROM:+0200 TZOFFSETTO:+0100 TZNAME:CET DTSTART:20161030T010000 END:STANDARD BEGIN:DAYLIGHT TZOFFSETFROM:+0100 TZOFFSETTO:+0200 TZNAME:CEST DTSTART:20170326T010000 END:DAYLIGHT BEGIN:STANDARD TZOFFSETFROM:+0200 TZOFFSETTO:+0100 TZNAME:CET DTSTART:20171029T010000 END:STANDARD BEGIN:DAYLIGHT TZOFFSETFROM:+0100 TZOFFSETTO:+0200 TZNAME:CEST DTSTART:20180325T010000 END:DAYLIGHT BEGIN:STANDARD TZOFFSETFROM:+0200 TZOFFSETTO:+0100 TZNAME:CET DTSTART:20181028T010000 END:STANDARD BEGIN:DAYLIGHT TZOFFSETFROM:+0100 TZOFFSETTO:+0200 TZNAME:CEST DTSTART:20190331T010000 END:DAYLIGHT BEGIN:STANDARD TZOFFSETFROM:+0200 TZOFFSETTO:+0100 TZNAME:CET DTSTART:20191027T010000 END:STANDARD BEGIN:DAYLIGHT TZOFFSETFROM:+0100 TZOFFSETTO:+0200 TZNAME:CEST DTSTART:20200329T010000 END:DAYLIGHT BEGIN:STANDARD TZOFFSETFROM:+0200 TZOFFSETTO:+0100 TZNAME:CET DTSTART:20201025T010000 END:STANDARD BEGIN:DAYLIGHT TZOFFSETFROM:+0100 TZOFFSETTO:+0200 TZNAME:CEST DTSTART:20210328T010000 END:DAYLIGHT BEGIN:STANDARD TZOFFSETFROM:+0200 TZOFFSETTO:+0100 TZNAME:CET DTSTART:20211031T010000 END:STANDARD BEGIN:DAYLIGHT TZOFFSETFROM:+0100 TZOFFSETTO:+0200 TZNAME:CEST DTSTART:20220327T010000 END:DAYLIGHT BEGIN:STANDARD TZOFFSETFROM:+0200 TZOFFSETTO:+0100 TZNAME:CET DTSTART:20221030T010000 END:STANDARD BEGIN:DAYLIGHT TZOFFSETFROM:+0100 TZOFFSETTO:+0200 TZNAME:CEST DTSTART:20230326T010000 END:DAYLIGHT BEGIN:STANDARD TZOFFSETFROM:+0200 TZOFFSETTO:+0100 TZNAME:CET DTSTART:20231029T010000 END:STANDARD BEGIN:DAYLIGHT TZOFFSETFROM:+0100 TZOFFSETTO:+0200 TZNAME:CEST DTSTART:20240331T010000 END:DAYLIGHT BEGIN:STANDARD TZOFFSETFROM:+0200 TZOFFSETTO:+0100 TZNAME:CET DTSTART:20241027T010000 END:STANDARD BEGIN:DAYLIGHT TZOFFSETFROM:+0100 TZOFFSETTO:+0200 TZNAME:CEST DTSTART:20250330T010000 END:DAYLIGHT BEGIN:STANDARD TZOFFSETFROM:+0200 TZOFFSETTO:+0100 TZNAME:CET DTSTART:20251026T010000 END:STANDARD END:VTIMEZONE BEGIN:VEVENT DTSTART;TZID=Europe/Zagreb:19691231T230000 DTEND;TZID=Europe/Zagreb:20240620T230000 DTSTAMP:20250313T104400Z CREATED:20250313T104400Z LAST-MODIFIED:20250313T104400Z UID:2089--3600-1718924400@www.crossda.hr SUMMARY:3rd COORDINATE SUMMER SCHOOL DESCRIPTION:Introduction to life course research and sequence analysis  \nExploring youth trajectories with the Catalan Youth Survey Dataset  \nBarcelona\, 17-21 June 2024 \nIntroduction \nThe Horizon 2020 project “Cohort community research and development infrastructure network for access throughout Europe” (COORDINATE) aims to increase the visibility and use of data regarding the wellbeing of children and adolescents in Europe. A total of three summer schools are being conducted to promote cohort panel research in Europe by facilitating researchers’ access to relevant data platforms and teaching appropriate analysis techniques. \nThe third COORDINATE Summer School will be held at the Universitat Pompeu Fabra\, in Barcelona\, from June 17-21\, 2024. The focus is on learning and applying specific methods for the analysis of trajectories using sequence analysis and TraMineR. The programme includes modules on life course perspective\, longitudinal methods\, data analysis techniques and data structures\, sequence analysis and typologies of sequences. It also includes an introductory and brief module on event history analysis that can be integrated with sequence analysis techniques. The analysis will be based on the Catalan Youth Survey dataset\, an official statistic of the Catalan Government.  \nThe event is open for up to 24 researchers working in EU Member States and Associated Countries. Up to 20 participants will have their travel and accommodation expenses reimbursed.  \nObjectives \n·         Understanding the foundations and applications of longitudinal methods in social sciences. \n·         Familiarising with the theoretical and methodological approach of the life course perspective. \n·         Understanding the characteristics and structure of longitudinal data. \n·         Describing and analysing data sequences using the basic functions of the R package TraMineR. \n·         Creating typologies of sequences using single channel and multichannel sequence analysis. \n·         Familiarising with the basic concepts of event history analysis and its relationship with sequence analysis. \nVenue \nThe course will be held in Campus Ciutadella (Ramon Trias Fargas street\, n. 25-27) of the Universitat Pompeu Fabra\, in Barcelona. \nOrganizers \nSlovenian Social Science Data Archives from the University of Ljubljana organize the course with the collaboration of the Catalan Youth Agency and the support of the JOVIS.com Research Group (Pompeu Fabra University) and of the Sociological Research Centre on Everyday Life and Work (Autonomous University of Barcelona). \nApplication Process and Eligibility \nA total of 24 participants will be selected based on research experience\, scientific competence and analytical interest. Bursaries are available for up to 20 researchers working in EU Member States or Associated Countries (to max 1\,500 EUR per person). Interested persons from the Barcelona Metropolitan Area and non-EU research institutes may apply but will have to cover their own accommodation and travel costs. \nWe welcome researchers from any stage of their academic career and from any academic field. However\, applicants should have basic knowledge of quantitative research methods and statistical analysis. Notions of the R programming language are recommended but not mandatory. \nResearchers from COORDINATE partner institutions who are not involved in the COORDINATE project are eligible to apply. However\, as the objective of the project is to widen the network of researchers using child well-being data\, only a limited number of places will be awarded to applicants from COORDINATE partner institutions. \nPhD students are eligible to apply. However\, master’s or bachelor’s students are not eligible. \nSubmission \nPlease fill in the application form. Additionally to the contact information\, you will be asked to provide:  \n·         Short Curriculum Vitae (max 1 page). \n·         Summary of relevant research experience\, including a short assessment of your skills regarding statistical software packages (max ½ page). \n·         Brief description of specific research interests\, focusing on data analysis interests and needs (max ½ page). \n·         Please state if you have participated in other activities of the COORDINATE project.  \nApplications must be received by the 3rd of April 2024.  \nSelection procedure \nPriority will be given to established researchers in the field\, and to applicants from low GDP countries. Gender balance and geographical diversity will also be taken into account. \nThe applications will be reviewed by a committee\, which will score each application based on the information provided in the application form. \nApplicants will be notified about the decision by the 16th of April 2024. \nContact \n·         Administration (registration\, bursaries\, etc.): Ana Inkret\, ana.inkret@fdv.uni-lj.si  \n·         Logistics (accommodation\, arrival\, etc.): Sara Molins\, smolins@gencat.cat  \n·         Contents: Pau Serracant Melendres\, pserracant@gencat.cat  \nMore details about the summer school can be found here.  URL:https://www.crossda.hr/event/3rd-coordinate-summer-school/ END:VEVENT BEGIN:VEVENT DTSTART;TZID=Europe/Zagreb:19691231T230000 DTEND;TZID=Europe/Zagreb:20240527T230000 DTSTAMP:20250313T104420Z CREATED:20250313T104420Z LAST-MODIFIED:20250313T104420Z UID:2094--3600-1716850800@www.crossda.hr SUMMARY:49th Annual IASSIST conference and 57th annual Carto conference DESCRIPTION:Summary \nIASSIST and the ACMLA would like to invite you to join us for the 49th Annual IASSIST conference and 57th annual Carto conference being jointly held in Halifax\, Nova Scotia\, from May 28-31\, 2024 to talk about the future of data in libraries\, archives\, and data services. The conference will be held in-person\, centering networking opportunities and interaction. \nDescription \n49th Annual Conference of IASSIST joined together with CARTO \nNavigating the Future of Data \nHalifax\, Nova Scotia\, Canada\, May 28-31\, 2024 \nIn person at the Halifax Convention Centre. \nHost institution: IASSIST with representation from Dalhousie University\, Mount Saint Vincent University\, and Cape Breton University. Held with CARTO \, Association of Canadian Map Libraries and Archives. \nLand acknowledgment \nHalifax\, also called Kjipuktuk (ji-buk-tuk)\, is in the ancestral and unceded territory of the Mi’kmaq People. It is covered by the Treaties of Peace and Friendship\, first signed in 1726\, which established rules for an ongoing relationship between nations. The people of the Mi’kmaw Nation have lived on this territory for millennia\, and we acknowledge them as the past\, present\, and future caretakers of this land. \nCall for Submissions and Workshops \nSubmit your workshop\, session\, paper or poster proposal. Join us and submit by the deadline November 22\, 2023 December 1\, 2023. It will be the Best. IASSIST. Ever. \nSubmissions are now closed. \nProgram Committee Chairs \nSophia Lafferty-Hess (Duke University) \nZach MacDonald (Western University) \nKristi Thompson (Western University) \nLocal Arrangements Committee \nSandra Sawchuk (Mount Saint Vincent University) \nLouise Gillis (Dalhousie University) \nChantal Ripp (University of Ottawa) \nDylanne Dearborn (University of Toronto) \nJane Fry (Carleton University) \nAmber Leahey (University of Toronto) \nMartin Chandler (Cape Breton University) \nJulie Marcoux (Dalhousie University) \nSherri Sunstrum (Carleton University) \nPlease send all questions to: programme ( at ) lists.iassistdata.org URL:https://www.crossda.hr/event/49th-annual-iassist-conference-and-57th-annual-carto-conference/ END:VEVENT BEGIN:VEVENT DTSTART;TZID=Europe/Zagreb:19691231T230000 DTEND;TZID=Europe/Zagreb:20240612T230000 DTSTAMP:20250313T104541Z CREATED:20250313T104541Z LAST-MODIFIED:20250313T104541Z UID:2100--3600-1718233200@www.crossda.hr SUMMARY:CESSDA ERIC Conference DESCRIPTION:In June 2024 CESSDA will organise its first CESSDA conference marking its 10th anniversary when the CESSDA Main Office was set up in Bergen. The Conference is dedicated to the different main stakeholders of CESSDA: the Service Providers\, the researchers\, policy makers and the Member Countries. The focus of the conference will be on data\, metadata and cross-disciplinarity. \nDescription \nWe would like that you save the date in your calendars 11.-13. June 2024 in Split\, Croatia. URL:https://www.crossda.hr/event/cessda-eric-conference/ END:VEVENT BEGIN:VEVENT DTSTART;TZID=Europe/Zagreb:19691231T230000 DTEND;TZID=Europe/Zagreb:20240411T230000 DTSTAMP:20250313T104953Z CREATED:20250313T104953Z LAST-MODIFIED:20250313T104953Z UID:2118--3600-1712876400@www.crossda.hr SUMMARY:COSMOS 2024 Conference on Smart Data for Official Statistics DESCRIPTION:Call for Contributions \nInsee is pleased to invite the statistical community to submit contributions for the first Conference On Smart Metadata for Official Statistics 2024 (COSMOS 2024)\, to be held on 11-12 April 2024 in Paris\, France. \nConference web page: http://cosmos-conference.org/2024. \nContact: cosmos-2024@insee.fr. \nContext \nThe world of data is changing. Official statistics organizations need to find\, acquire and integrate data from both traditional and new data sources at an ever-increasing pace\, while maintaining the usability and quality of outputs. Data cycles are shorter\, and AI and ML continue to accelerate the need for data. \nIn this context\, the demand for metadata is also changing. Metadata now needs to support FAIR\, the Open Science vision and other initiatives that require transparency\, reproducibility and data that is not only easy to find and use\, but also comparable and interoperable across domains. To this end\, we need “smart” metadata that is standard\, machine-actionable\, capable of enhancing data quality and usability\, and rich enough to drive the statistical process. \nSmart metadata and AI technologies can benefit from each other: metadata can enable better AI capabilities\, but AI also be applied to create and manage better metadata. \nConference Objectives \nThe COSMOS conference is a place where the official statistics community can work together to define\, share\, use\, and manage smart metadata. Through sharing of experiences\, techniques\, and tools\, and through forward-looking consideration of the challenges we face as a community\, we can better meet the demands of the modern data landscape. We encourage official statisticians\, metadata experts\, data managers\, and those involved in the collection\, production\, and dissemination of statistics to attend. \nCOSMOS will emphasize the ways in which statistical organizations can implement smart metadata in their institute\, covering areas such as: \nStandards \nBusiness use cases \nGovernance \nBest practices definition \nTools and implementation systems experiences (lessons learned\, difficulties encountered\, key successes) \nThis will be the first of a series of conferences\, focusing on the best way forward in the development and use of smart metadata in all its forms. \nMore information: http://cosmos-conference.org/2024 URL:https://www.crossda.hr/event/cosmos-2024-conference-on-smart-data-for-official-statistics/ END:VEVENT BEGIN:VEVENT DTSTART;TZID=Europe/Zagreb:20220214T080000 DTEND;TZID=Europe/Zagreb:20220215T180000 DTSTAMP:20250408T124039Z CREATED:20250408T124039Z LAST-MODIFIED:20250408T124039Z UID:2893-1644825600-1644948000@www.crossda.hr SUMMARY:SSHOC Workshop: Data Management Planning and Overcoming Challenges in Social Sciences Data Sharing DESCRIPTION:This is a two-day interactive workshop taking place on the 14th and 15th of February 2022 from 10.00 to 12.30 GMT each day. \nEvent Overview \nA Data Management Plan helps achieve optimal handling\, organising\, documenting and enhancing of research data. It is particularly important for facilitating data sharing\, ensuring the sustainability and accessibility of data in the long-term and allowing data to be reused for future research. For the effective management of data\, planning must start when research is being designed and needs to consider both how data will be managed during the research and how they will be shared afterwards. In this two days online workshop\, we will discuss the main challenges of data sharing in social sciences and how these can be overcome by implementing best data management planning practices. The workshop will cover the following topics: \nChallenges in data sharing for social science projectsData collection and assessment of existing sourcesDocumentation\, metadata and quality assuranceEthical and legal contextStorage\, backup and preservationFacilitating data sharing\, project roles and responsibilities \nThe workshop will be delivered online and will combine lectures and presentations with individual and practical exercises and group discussions. At the end of the workshop\, participants would have gained a better understanding of research data management best practices\, particularly on how a Data Management Plan facilitates compliance with data protection legislation and data sharing. The attendees will be provided with further resources including readings and open source tools to ease and enable data sharing. \nLearning objectives \nBe able to recognise challenges in sharing data and identify techniques to overcome theseGain a better understanding of Data Management Planning requirements in Social SciencesBe able to design a comprehensive\, accurate Data Management Plan which enables data sharing \nTarget Audience \nThis workshop is intended for early career researchers and support staff. \nPlease note the number of attendees is limited and we kindly ask those that register to be able to attend both days. URL:https://www.crossda.hr/event/sshoc-workshop-data-management-planning-and-overcoming-challenges-in-social-sciences-data-sharing-2/ END:VEVENT BEGIN:VEVENT DTSTART;TZID=Europe/Zagreb:20220220T230000 DTEND;TZID=Europe/Zagreb:20220221T230000 DTSTAMP:20250313T105152Z CREATED:20250313T105152Z LAST-MODIFIED:20250313T105152Z UID:2176-1645398000-1645484400@www.crossda.hr SUMMARY:Automatic Sampling and Analysis of YouTube Data DESCRIPTION:Course description \nYouTube is the largest and most popular video platform on the internet. The producers and users of YouTube content generate huge amounts of data. These data are also of interest to researchers (in the social sciences as well as other disciplines) for studying different aspects of online media use and communication. Accessing and working with these data\, however\, can be challenging. In this workshop\, we will first discuss the potential of YouTube data for research in the social sciences\, and then introduce participants to the YouTube API and tools for collecting data from this API. Our focus for the main part of the workshop will be on using the tuber package for R to collect data via the YouTube API and wrangling and analyzing the data in R (using various packages). Regarding the type of data\, we will focus on user comments but also will also (briefly) look into other YouTube data\, such as video statistics and subtitles. For the comments\, we will show how to clean/process them in R\, how to deal with emojis\, and how to do some basic forms of automated text analysis (e.g.\, word frequencies\, sentiment analysis). While we believe that YouTube data has great potential for research in the social sciences (and other disciplines)\, we will also discuss the unique challenges and limitations of using this data. \nTarget group \nThe workshop is aimed at people who are interested in using YouTube data for their research. \nLearning objectives \nParticipants will learn how they can use YouTube data for their research. They will get to know tools and methods for collecting YouTube data. At the end of the workshop\, participants should be able to automatically collect YouTube data\, process/clean it\, and do some basic (exploratory) analyses of user comments. \nPrerequisites \nParticipants should at least have some basic knowledge of R and\, ideally\, also the tidyverse. Basic R knowledge can\, for example\, be acquired through the swirl (Learn R\, in R) course “R Programming” (see https://swirlstats.com/) or the RStudio Primer “Programming basics“ (https://rstudio.cloud/learn/primers/1.2)\, both of which are available for free. There also are many brief online introductions to the tidyverse\, such as these blog posts by Martin Frigaard (http://www.storybench.org/getting-started-with-tidyverse-in-r/) or Dominic Royé (https://dominicroye.github.io/en/2020/a-very-short-introduction-to-tidyverse/). URL:https://www.crossda.hr/event/automatic-sampling-and-analysis-of-youtube-data/ END:VEVENT BEGIN:VEVENT DTSTART;TZID=Europe/Zagreb:20220221T000000 DTEND;TZID=Europe/Zagreb:20220222T000000 DTSTAMP:20250313T103626Z CREATED:20250313T103626Z LAST-MODIFIED:20250313T103626Z UID:2366-1645401600-1645488000@www.crossda.hr SUMMARY:Automatic Sampling and Analysis of YouTube Data DESCRIPTION:Course description \nYouTube is the largest and most popular video platform on the internet. The producers and users of YouTube content generate huge amounts of data. These data are also of interest to researchers (in the social sciences as well as other disciplines) for studying different aspects of online media use and communication. Accessing and working with these data\, however\, can be challenging. In this workshop\, we will first discuss the potential of YouTube data for research in the social sciences\, and then introduce participants to the YouTube API and tools for collecting data from this API. Our focus for the main part of the workshop will be on using the tuber package for R to collect data via the YouTube API and wrangling and analyzing the data in R (using various packages). Regarding the type of data\, we will focus on user comments but also will also (briefly) look into other YouTube data\, such as video statistics and subtitles. For the comments\, we will show how to clean/process them in R\, how to deal with emojis\, and how to do some basic forms of automated text analysis (e.g.\, word frequencies\, sentiment analysis). While we believe that YouTube data has great potential for research in the social sciences (and other disciplines)\, we will also discuss the unique challenges and limitations of using this data. \nTarget group \nThe workshop is aimed at people who are interested in using YouTube data for their research. \nLearning objectives \nParticipants will learn how they can use YouTube data for their research. They will get to know tools and methods for collecting YouTube data. At the end of the workshop\, participants should be able to automatically collect YouTube data\, process/clean it\, and do some basic (exploratory) analyses of user comments. \nPrerequisites \nParticipants should at least have some basic knowledge of R and\, ideally\, also the tidyverse. Basic R knowledge can\, for example\, be acquired through the swirl (Learn R\, in R) course “R Programming” (see https://swirlstats.com/) or the RStudio Primer “Programming basics“ (https://rstudio.cloud/learn/primers/1.2)\, both of which are available for free. There also are many brief online introductions to the tidyverse\, such as these blog posts by Martin Frigaard (http://www.storybench.org/getting-started-with-tidyverse-in-r/) or Dominic Royé (https://dominicroye.github.io/en/2020/a-very-short-introduction-to-tidyverse/). URL:https://www.crossda.hr/event/automatic-sampling-and-analysis-of-youtube-data/ END:VEVENT BEGIN:VEVENT DTSTART;TZID=Europe/Zagreb:20220221T000000 DTEND;TZID=Europe/Zagreb:20220222T000000 DTSTAMP:20250325T164919Z CREATED:20250325T164919Z LAST-MODIFIED:20250325T164919Z UID:2664-1645401600-1645488000@www.crossda.hr SUMMARY:Automatic Sampling and Analysis of YouTube Data DESCRIPTION:Course description \nYouTube is the largest and most popular video platform on the internet. The producers and users of YouTube content generate huge amounts of data. These data are also of interest to researchers (in the social sciences as well as other disciplines) for studying different aspects of online media use and communication. Accessing and working with these data\, however\, can be challenging. In this workshop\, we will first discuss the potential of YouTube data for research in the social sciences\, and then introduce participants to the YouTube API and tools for collecting data from this API. Our focus for the main part of the workshop will be on using the tuber package for R to collect data via the YouTube API and wrangling and analyzing the data in R (using various packages). Regarding the type of data\, we will focus on user comments but also will also (briefly) look into other YouTube data\, such as video statistics and subtitles. For the comments\, we will show how to clean/process them in R\, how to deal with emojis\, and how to do some basic forms of automated text analysis (e.g.\, word frequencies\, sentiment analysis). While we believe that YouTube data has great potential for research in the social sciences (and other disciplines)\, we will also discuss the unique challenges and limitations of using this data. \nTarget group \nThe workshop is aimed at people who are interested in using YouTube data for their research. \nLearning objectives \nParticipants will learn how they can use YouTube data for their research. They will get to know tools and methods for collecting YouTube data. At the end of the workshop\, participants should be able to automatically collect YouTube data\, process/clean it\, and do some basic (exploratory) analyses of user comments. \nPrerequisites \nParticipants should at least have some basic knowledge of R and\, ideally\, also the tidyverse. Basic R knowledge can\, for example\, be acquired through the swirl (Learn R\, in R) course “R Programming” (see https://swirlstats.com/) or the RStudio Primer “Programming basics“ (https://rstudio.cloud/learn/primers/1.2)\, both of which are available for free. There also are many brief online introductions to the tidyverse\, such as these blog posts by Martin Frigaard (http://www.storybench.org/getting-started-with-tidyverse-in-r/) or Dominic Royé (https://dominicroye.github.io/en/2020/a-very-short-introduction-to-tidyverse/). URL:https://www.crossda.hr/event/automatic-sampling-and-analysis-of-youtube-data/ LOCATION:Online via Zoom END:VEVENT BEGIN:VEVENT DTSTART;TZID=Europe/Zagreb:20220221T080000 DTEND;TZID=Europe/Zagreb:20220222T180000 DTSTAMP:20250408T124239Z CREATED:20250408T124239Z LAST-MODIFIED:20250408T124239Z UID:2895-1645430400-1645552800@www.crossda.hr SUMMARY:Automatic Sampling and Analysis of YouTube Data DESCRIPTION:Course description \nYouTube is the largest and most popular video platform on the internet. The producers and users of YouTube content generate huge amounts of data. These data are also of interest to researchers (in the social sciences as well as other disciplines) for studying different aspects of online media use and communication. Accessing and working with these data\, however\, can be challenging. In this workshop\, we will first discuss the potential of YouTube data for research in the social sciences\, and then introduce participants to the YouTube API and tools for collecting data from this API. Our focus for the main part of the workshop will be on using the tuber package for R to collect data via the YouTube API and wrangling and analyzing the data in R (using various packages). Regarding the type of data\, we will focus on user comments but also will also (briefly) look into other YouTube data\, such as video statistics and subtitles. For the comments\, we will show how to clean/process them in R\, how to deal with emojis\, and how to do some basic forms of automated text analysis (e.g.\, word frequencies\, sentiment analysis). While we believe that YouTube data has great potential for research in the social sciences (and other disciplines)\, we will also discuss the unique challenges and limitations of using this data. \nTarget group \nThe workshop is aimed at people who are interested in using YouTube data for their research. \nLearning objectives \nParticipants will learn how they can use YouTube data for their research. They will get to know tools and methods for collecting YouTube data. At the end of the workshop\, participants should be able to automatically collect YouTube data\, process/clean it\, and do some basic (exploratory) analyses of user comments. \nPrerequisites \nParticipants should at least have some basic knowledge of R and\, ideally\, also the tidyverse. Basic R knowledge can\, for example\, be acquired through the swirl (Learn R\, in R) course “R Programming” (see https://swirlstats.com/) or the RStudio Primer “Programming basics“ (https://rstudio.cloud/learn/primers/1.2)\, both of which are available for free. There also are many brief online introductions to the tidyverse\, such as these blog posts by Martin Frigaard (http://www.storybench.org/getting-started-with-tidyverse-in-r/) or Dominic Royé (https://dominicroye.github.io/en/2020/a-very-short-introduction-to-tidyverse/). URL:https://www.crossda.hr/event/automatic-sampling-and-analysis-of-youtube-data/ LOCATION:Online via Zoom END:VEVENT BEGIN:VEVENT DTSTART;TZID=Europe/Zagreb:20220406T080000 DTEND;TZID=Europe/Zagreb:20220407T180000 DTSTAMP:20250408T124039Z CREATED:20250408T124039Z LAST-MODIFIED:20250408T124039Z UID:2892-1649232000-1649354400@www.crossda.hr SUMMARY:SSHOC Final Conference: Advancing SSH Research with SSHOCingly good and sustainable resources DESCRIPTION:The conference brings together Research infrastructures\, Researchers\, Research Libraries and Archives\, EOSC key-players\, industry and policymakers from the Social Sciences and Humanities and beyond. \nFrom January 2019 to April 2022 SSHOC transformed the current social sciences & humanities data landscape with its disciplinary silos and separate facilities into an integrated\, cloud-based network of interconnected data infrastructures. The final conference programme is designed to showcase the results achieved\, lever on the valuable synergies built and learn about user stories from the community.  There will be time to reflect on policy & sustainability issues and look towards the future.  \nWe also invite researchers\, data experts\, trainers and e-infrastructure professionals to join the online SSHOC’n Tell Challenge. Try our tools and share your user story.  Work on a pre-defined or wild card challenge with the SSHOC resources. The SSHOC’n Tell Challengebrings fresh user stories and reflections for future development into the conference programme. Attractive prizes are to be won! More information will be available soon. URL:https://www.crossda.hr/event/sshoc-final-conference-advancing-ssh-research-with-sshocingly-good-and-sustainable-resources-2/ END:VEVENT BEGIN:VEVENT DTSTART;TZID=Europe/Zagreb:20220421T110000 DTEND;TZID=Europe/Zagreb:20220421T110000 DTSTAMP:20250313T105146Z CREATED:20250313T105146Z LAST-MODIFIED:20250313T105146Z UID:2170-1650538800-1650538800@www.crossda.hr SUMMARY:How to anonymise qualitative and quantitative data DESCRIPTION:In this interactive workshop\, you will have an opportunity to develop an anonymisation plan\, test your knowledge on legal and ethical obligations and discuss how to strike a balance between anonymisation (or pseudonymisation)\, access regulation\, as well as consent. \nThe past two years has involved a huge change in expectations for researchers in how they manage and share participants’ information. There are new legal obligations\, such as the new GDPR regulations\, as well as a greater emphasis in sharing data after the completion of a research project. \nThe process of anonymisation is an essential part to protect the identities of research participants while complying with these ethical and legal standards. Before sharing\, archiving\, or publishing data\, you should ensure that all identifying and disclosive information is managed appropriately and redacted when necessary. \nJoin us as we critically discuss what is meant by “disclosive data” and strategies for anonymising quantitative and qualitative data. We will look specifically at key differences between anonymisation and pseudonymisation and discuss how to responsibly use\, plus share data using a three-prong strategy for protecting participants’ identities. \nThis free workshop will consist of a 90-minute session\, including presentations\, exercises and questions. \nPresenters: Anca Vlad and Maureen Haaker \nThis workshop is intended for anyone who wants to learn about data anonymisation. No preparation is necessary\, however\, basic knowledge of research methods is assumed. URL:https://www.crossda.hr/event/how-to-anonymise-qualitative-and-quantitative-data/ END:VEVENT BEGIN:VEVENT DTSTART;TZID=Europe/Zagreb:20220421T120000 DTEND;TZID=Europe/Zagreb:20220421T120000 DTSTAMP:20250313T103425Z CREATED:20250313T103425Z LAST-MODIFIED:20250313T103425Z UID:2360-1650542400-1650542400@www.crossda.hr SUMMARY:How to anonymise qualitative and quantitative data DESCRIPTION:In this interactive workshop\, you will have an opportunity to develop an anonymisation plan\, test your knowledge on legal and ethical obligations and discuss how to strike a balance between anonymisation (or pseudonymisation)\, access regulation\, as well as consent. \nThe past two years has involved a huge change in expectations for researchers in how they manage and share participants’ information. There are new legal obligations\, such as the new GDPR regulations\, as well as a greater emphasis in sharing data after the completion of a research project. \nThe process of anonymisation is an essential part to protect the identities of research participants while complying with these ethical and legal standards. Before sharing\, archiving\, or publishing data\, you should ensure that all identifying and disclosive information is managed appropriately and redacted when necessary. \nJoin us as we critically discuss what is meant by “disclosive data” and strategies for anonymising quantitative and qualitative data. We will look specifically at key differences between anonymisation and pseudonymisation and discuss how to responsibly use\, plus share data using a three-prong strategy for protecting participants’ identities. \nThis free workshop will consist of a 90-minute session\, including presentations\, exercises and questions. \nPresenters: Anca Vlad and Maureen Haaker \nThis workshop is intended for anyone who wants to learn about data anonymisation. No preparation is necessary\, however\, basic knowledge of research methods is assumed. URL:https://www.crossda.hr/event/how-to-anonymise-qualitative-and-quantitative-data/ END:VEVENT BEGIN:VEVENT DTSTART;TZID=Europe/Zagreb:20220421T120000 DTEND;TZID=Europe/Zagreb:20220421T120000 DTSTAMP:20250325T164904Z CREATED:20250325T164904Z LAST-MODIFIED:20250325T164904Z UID:2663-1650542400-1650542400@www.crossda.hr SUMMARY:How to anonymise qualitative and quantitative data DESCRIPTION:In this interactive workshop\, you will have an opportunity to develop an anonymisation plan\, test your knowledge on legal and ethical obligations and discuss how to strike a balance between anonymisation (or pseudonymisation)\, access regulation\, as well as consent. \nThe past two years has involved a huge change in expectations for researchers in how they manage and share participants’ information. There are new legal obligations\, such as the new GDPR regulations\, as well as a greater emphasis in sharing data after the completion of a research project. \nThe process of anonymisation is an essential part to protect the identities of research participants while complying with these ethical and legal standards. Before sharing\, archiving\, or publishing data\, you should ensure that all identifying and disclosive information is managed appropriately and redacted when necessary. \nJoin us as we critically discuss what is meant by “disclosive data” and strategies for anonymising quantitative and qualitative data. We will look specifically at key differences between anonymisation and pseudonymisation and discuss how to responsibly use\, plus share data using a three-prong strategy for protecting participants’ identities. \nThis free workshop will consist of a 90-minute session\, including presentations\, exercises and questions. \nPresenters: Anca Vlad and Maureen Haaker \nThis workshop is intended for anyone who wants to learn about data anonymisation. No preparation is necessary\, however\, basic knowledge of research methods is assumed. URL:https://www.crossda.hr/event/how-to-anonymise-qualitative-and-quantitative-data/ END:VEVENT BEGIN:VEVENT DTSTART;TZID=Europe/Zagreb:20220421T120000 DTEND;TZID=Europe/Zagreb:20220421T180000 DTSTAMP:20250408T123839Z CREATED:20250408T123839Z LAST-MODIFIED:20250408T123839Z UID:2889-1650542400-1650564000@www.crossda.hr SUMMARY:How to anonymise qualitative and quantitative data DESCRIPTION:In this interactive workshop\, you will have an opportunity to develop an anonymisation plan\, test your knowledge on legal and ethical obligations and discuss how to strike a balance between anonymisation (or pseudonymisation)\, access regulation\, as well as consent. \nThe past two years has involved a huge change in expectations for researchers in how they manage and share participants’ information. There are new legal obligations\, such as the new GDPR regulations\, as well as a greater emphasis in sharing data after the completion of a research project. \nThe process of anonymisation is an essential part to protect the identities of research participants while complying with these ethical and legal standards. Before sharing\, archiving\, or publishing data\, you should ensure that all identifying and disclosive information is managed appropriately and redacted when necessary. \nJoin us as we critically discuss what is meant by “disclosive data” and strategies for anonymising quantitative and qualitative data. We will look specifically at key differences between anonymisation and pseudonymisation and discuss how to responsibly use\, plus share data using a three-prong strategy for protecting participants’ identities. \nThis free workshop will consist of a 90-minute session\, including presentations\, exercises and questions. \nPresenters: Anca Vlad and Maureen Haaker \nThis workshop is intended for anyone who wants to learn about data anonymisation. No preparation is necessary\, however\, basic knowledge of research methods is assumed. URL:https://www.crossda.hr/event/how-to-anonymise-qualitative-and-quantitative-data/ END:VEVENT BEGIN:VEVENT DTSTART;TZID=Europe/Zagreb:20220428T110000 DTEND;TZID=Europe/Zagreb:20220428T110000 DTSTAMP:20250313T105146Z CREATED:20250313T105146Z LAST-MODIFIED:20250313T105146Z UID:2169-1651143600-1651143600@www.crossda.hr SUMMARY:Data management basics: Introduction to data management and sharing DESCRIPTION:Data management is essential to make sure that well-organised\, well-documented\, high quality and shareable research data can be produced from our research projects. In this free session we will discuss key essential processes: Writing a data management plan for research grants; documenting your data appropriately and effectively; formatting and organising your data; and storing your data\, including data transfer\, encryption\, and file sharing. \nThe introductory workshops on Data Management Basics are intended for researchers and anyone who wants to learn about research data management. This workshop is part of a series of two workshops focusing on the basics of data management. This first workshop provides an overview of how to manage\, document\, store and safeguard research data well and how to plan and implement good data management in research projects\, with a focus on optimising data sharing. The second workshop will focus on the ethical and legal aspects of data management. \nThis 90 minute workshop will consist of a 45 minute presentation\, followed by a 30 minute practical element and finishing with 15 minutes for questions and discussion. \nPresenter: Anca Vlad \nLevel: Introductory \nExperience/knowledge required: Basic methods of qualitative or quantitative data research \nTarget audience: Researchers/anyone interested in data management URL:https://www.crossda.hr/event/data-management-basics-introduction-to-data-management-and-sharing/ END:VEVENT BEGIN:VEVENT DTSTART;TZID=Europe/Zagreb:20220428T120000 DTEND;TZID=Europe/Zagreb:20220428T120000 DTSTAMP:20250313T103425Z CREATED:20250313T103425Z LAST-MODIFIED:20250313T103425Z UID:2359-1651147200-1651147200@www.crossda.hr SUMMARY:Data management basics: Introduction to data management and sharing DESCRIPTION:Data management is essential to make sure that well-organised\, well-documented\, high quality and shareable research data can be produced from our research projects. In this free session we will discuss key essential processes: Writing a data management plan for research grants; documenting your data appropriately and effectively; formatting and organising your data; and storing your data\, including data transfer\, encryption\, and file sharing. \nThe introductory workshops on Data Management Basics are intended for researchers and anyone who wants to learn about research data management. This workshop is part of a series of two workshops focusing on the basics of data management. This first workshop provides an overview of how to manage\, document\, store and safeguard research data well and how to plan and implement good data management in research projects\, with a focus on optimising data sharing. The second workshop will focus on the ethical and legal aspects of data management. \nThis 90 minute workshop will consist of a 45 minute presentation\, followed by a 30 minute practical element and finishing with 15 minutes for questions and discussion. \nPresenter: Anca Vlad \nLevel: Introductory \nExperience/knowledge required: Basic methods of qualitative or quantitative data research \nTarget audience: Researchers/anyone interested in data management URL:https://www.crossda.hr/event/data-management-basics-introduction-to-data-management-and-sharing/ END:VEVENT BEGIN:VEVENT DTSTART;TZID=Europe/Zagreb:20220428T120000 DTEND;TZID=Europe/Zagreb:20220428T120000 DTSTAMP:20250325T164904Z CREATED:20250325T164904Z LAST-MODIFIED:20250325T164904Z UID:2662-1651147200-1651147200@www.crossda.hr SUMMARY:Data management basics: Introduction to data management and sharing DESCRIPTION:Data management is essential to make sure that well-organised\, well-documented\, high quality and shareable research data can be produced from our research projects. In this free session we will discuss key essential processes: Writing a data management plan for research grants; documenting your data appropriately and effectively; formatting and organising your data; and storing your data\, including data transfer\, encryption\, and file sharing. \nThe introductory workshops on Data Management Basics are intended for researchers and anyone who wants to learn about research data management. This workshop is part of a series of two workshops focusing on the basics of data management. This first workshop provides an overview of how to manage\, document\, store and safeguard research data well and how to plan and implement good data management in research projects\, with a focus on optimising data sharing. The second workshop will focus on the ethical and legal aspects of data management. \nThis 90 minute workshop will consist of a 45 minute presentation\, followed by a 30 minute practical element and finishing with 15 minutes for questions and discussion. \nPresenter: Anca Vlad \nLevel: Introductory \nExperience/knowledge required: Basic methods of qualitative or quantitative data research \nTarget audience: Researchers/anyone interested in data management URL:https://www.crossda.hr/event/data-management-basics-introduction-to-data-management-and-sharing/ END:VEVENT BEGIN:VEVENT DTSTART;TZID=Europe/Zagreb:20220428T120000 DTEND;TZID=Europe/Zagreb:20220428T180000 DTSTAMP:20250408T123838Z CREATED:20250408T123838Z LAST-MODIFIED:20250408T123838Z UID:2888-1651147200-1651168800@www.crossda.hr SUMMARY:Data management basics: Introduction to data management and sharing DESCRIPTION:Data management is essential to make sure that well-organised\, well-documented\, high quality and shareable research data can be produced from our research projects. In this free session we will discuss key essential processes: Writing a data management plan for research grants; documenting your data appropriately and effectively; formatting and organising your data; and storing your data\, including data transfer\, encryption\, and file sharing. \nThe introductory workshops on Data Management Basics are intended for researchers and anyone who wants to learn about research data management. This workshop is part of a series of two workshops focusing on the basics of data management. This first workshop provides an overview of how to manage\, document\, store and safeguard research data well and how to plan and implement good data management in research projects\, with a focus on optimising data sharing. The second workshop will focus on the ethical and legal aspects of data management. \nThis 90 minute workshop will consist of a 45 minute presentation\, followed by a 30 minute practical element and finishing with 15 minutes for questions and discussion. \nPresenter: Anca Vlad \nLevel: Introductory \nExperience/knowledge required: Basic methods of qualitative or quantitative data research \nTarget audience: Researchers/anyone interested in data management URL:https://www.crossda.hr/event/data-management-basics-introduction-to-data-management-and-sharing/ END:VEVENT BEGIN:VEVENT DTSTART;TZID=Europe/Zagreb:20220429T100000 DTEND;TZID=Europe/Zagreb:20220429T100000 DTSTAMP:20250313T105146Z CREATED:20250313T105146Z LAST-MODIFIED:20250313T105146Z UID:2168-1651226400-1651226400@www.crossda.hr SUMMARY:Data management basics: Ethical and legal issues in data sharing DESCRIPTION:Data management is essential to make sure that well-organised\, well-documented\, high quality and shareable research data can be produced from our research projects. In this free 90-minute online workshop\, participants will learn about the relevant legislation\, such as data protection legislation and the General Data Protection Regulation (GDPR). Participants will also learn about strategies that enable them to share research data. This includes carrying out an assessment of disclosure risk\, obtaining informed consent\, anonymising data and regulating access to enable data to be shared. \nThe introductory workshops on Data Management Basics are intended for researchers and anyone who wants to learn about research data management. The first session: ‘Introduction to data management and sharing’\, provides an overview of how to manage\, document and store research data. This second session focuses on the ethical and legal aspects of data management. \nResearchers obtaining data from people are expected to maintain high ethical standards and comply with the relevant legislation. Much research data – even sensitive data – can be shared ethically and legally. \nThere will be time at the end for questions and discussion. \nPresenter: Dr Hina Zahid \nLevel: Introductory \nExperience/knowledge required: None \nTarget audience: Researchers/anyone interested in data management \nWe will be using Mentimeter to ask questions in this workshop so you may benefit from having a second device ready for this\, such as a smartphone. URL:https://www.crossda.hr/event/data-management-basics-ethical-and-legal-issues-in-data-sharing/ END:VEVENT BEGIN:VEVENT DTSTART;TZID=Europe/Zagreb:20220429T110000 DTEND;TZID=Europe/Zagreb:20220429T110000 DTSTAMP:20250313T103425Z CREATED:20250313T103425Z LAST-MODIFIED:20250313T103425Z UID:2358-1651230000-1651230000@www.crossda.hr SUMMARY:Data management basics: Ethical and legal issues in data sharing DESCRIPTION:Data management is essential to make sure that well-organised\, well-documented\, high quality and shareable research data can be produced from our research projects. In this free 90-minute online workshop\, participants will learn about the relevant legislation\, such as data protection legislation and the General Data Protection Regulation (GDPR). Participants will also learn about strategies that enable them to share research data. This includes carrying out an assessment of disclosure risk\, obtaining informed consent\, anonymising data and regulating access to enable data to be shared. \nThe introductory workshops on Data Management Basics are intended for researchers and anyone who wants to learn about research data management. The first session: ‘Introduction to data management and sharing’\, provides an overview of how to manage\, document and store research data. This second session focuses on the ethical and legal aspects of data management. \nResearchers obtaining data from people are expected to maintain high ethical standards and comply with the relevant legislation. Much research data – even sensitive data – can be shared ethically and legally. \nThere will be time at the end for questions and discussion. \nPresenter: Dr Hina Zahid \nLevel: Introductory \nExperience/knowledge required: None \nTarget audience: Researchers/anyone interested in data management \nWe will be using Mentimeter to ask questions in this workshop so you may benefit from having a second device ready for this\, such as a smartphone. URL:https://www.crossda.hr/event/data-management-basics-ethical-and-legal-issues-in-data-sharing/ END:VEVENT BEGIN:VEVENT DTSTART;TZID=Europe/Zagreb:20220429T110000 DTEND;TZID=Europe/Zagreb:20220429T110000 DTSTAMP:20250325T164904Z CREATED:20250325T164904Z LAST-MODIFIED:20250325T164904Z UID:2661-1651230000-1651230000@www.crossda.hr SUMMARY:Data management basics: Ethical and legal issues in data sharing DESCRIPTION:Data management is essential to make sure that well-organised\, well-documented\, high quality and shareable research data can be produced from our research projects. In this free 90-minute online workshop\, participants will learn about the relevant legislation\, such as data protection legislation and the General Data Protection Regulation (GDPR). Participants will also learn about strategies that enable them to share research data. This includes carrying out an assessment of disclosure risk\, obtaining informed consent\, anonymising data and regulating access to enable data to be shared. \nThe introductory workshops on Data Management Basics are intended for researchers and anyone who wants to learn about research data management. The first session: ‘Introduction to data management and sharing’\, provides an overview of how to manage\, document and store research data. This second session focuses on the ethical and legal aspects of data management. \nResearchers obtaining data from people are expected to maintain high ethical standards and comply with the relevant legislation. Much research data – even sensitive data – can be shared ethically and legally. \nThere will be time at the end for questions and discussion. \nPresenter: Dr Hina Zahid \nLevel: Introductory \nExperience/knowledge required: None \nTarget audience: Researchers/anyone interested in data management \nWe will be using Mentimeter to ask questions in this workshop so you may benefit from having a second device ready for this\, such as a smartphone. URL:https://www.crossda.hr/event/data-management-basics-ethical-and-legal-issues-in-data-sharing/ END:VEVENT BEGIN:VEVENT DTSTART;TZID=Europe/Zagreb:20220429T110000 DTEND;TZID=Europe/Zagreb:20220429T180000 DTSTAMP:20250408T123838Z CREATED:20250408T123838Z LAST-MODIFIED:20250408T123838Z UID:2887-1651230000-1651255200@www.crossda.hr SUMMARY:Data management basics: Ethical and legal issues in data sharing DESCRIPTION:Data management is essential to make sure that well-organised\, well-documented\, high quality and shareable research data can be produced from our research projects. In this free 90-minute online workshop\, participants will learn about the relevant legislation\, such as data protection legislation and the General Data Protection Regulation (GDPR). Participants will also learn about strategies that enable them to share research data. This includes carrying out an assessment of disclosure risk\, obtaining informed consent\, anonymising data and regulating access to enable data to be shared. \nThe introductory workshops on Data Management Basics are intended for researchers and anyone who wants to learn about research data management. The first session: ‘Introduction to data management and sharing’\, provides an overview of how to manage\, document and store research data. This second session focuses on the ethical and legal aspects of data management. \nResearchers obtaining data from people are expected to maintain high ethical standards and comply with the relevant legislation. Much research data – even sensitive data – can be shared ethically and legally. \nThere will be time at the end for questions and discussion. \nPresenter: Dr Hina Zahid \nLevel: Introductory \nExperience/knowledge required: None \nTarget audience: Researchers/anyone interested in data management \nWe will be using Mentimeter to ask questions in this workshop so you may benefit from having a second device ready for this\, such as a smartphone. URL:https://www.crossda.hr/event/data-management-basics-ethical-and-legal-issues-in-data-sharing/ END:VEVENT BEGIN:VEVENT DTSTART;TZID=Europe/Zagreb:20220519T100000 DTEND;TZID=Europe/Zagreb:20220519T113000 DTSTAMP:20250313T105145Z CREATED:20250313T105145Z LAST-MODIFIED:20250313T105145Z UID:2166-1652954400-1652959800@www.crossda.hr SUMMARY:How to become a computational social scientist DESCRIPTION:Scientific research and teaching are increasingly influenced by computational tools\, methods and paradigms. The social sciences are no different\, with many new forms of social data only available or practical through computational means (Kitchen\, 2014). \nWhile social science research has always been marked by technological approaches to some degree\, the field of computational social science involves the use of tools\, data and methods that require a different skill set and mindset. \nThis free workshop is an introduction to computational social science. It offers attendees a chance to understand and discuss what computational social science is\, what it is good for\, how to become a computational social scientist\, and the basic steps to follow in an ideal computational social science research project. \nThe workshop intersperses instruction with discussion and gives participants the chance to develop a research project idea through several steps. The workshop is suitable for absolute beginners and NO CODING SKILLS are required. That said\, several Jupyter notebooks are provided to allow those who are interested to develop relevant coding skills through interactive exercises in their own time. \nPresenters: Louise Capener and Nadia Kennar \nKitchen\, R. (2014). Big Data\, new epistemologies and paradigm shifts. Big Data & Society\, https://doi.org/10.1177/2053951714528481. \nLevel: Any level\, from absolute beginner to statistics whizExperience/knowledge required: No specific knowledge required\, but it will make much more sense if you currently (or plan to) conduct social science researchTarget audience: Social scientists who are interested in or confused by what computational and empirical social science is about\, or who know they want to start doing more computational work but don’t know how to get started \nThis event is part of our UK Data Service introductory training series: Spring 2022. URL:https://www.crossda.hr/event/how-to-become-a-computational-social-scientist-2/ END:VEVENT BEGIN:VEVENT DTSTART;TZID=Europe/Zagreb:20220519T110000 DTEND;TZID=Europe/Zagreb:20220519T123000 DTSTAMP:20250313T103425Z CREATED:20250313T103425Z LAST-MODIFIED:20250313T103425Z UID:2356-1652958000-1652963400@www.crossda.hr SUMMARY:How to become a computational social scientist DESCRIPTION:Scientific research and teaching are increasingly influenced by computational tools\, methods and paradigms. The social sciences are no different\, with many new forms of social data only available or practical through computational means (Kitchen\, 2014). \nWhile social science research has always been marked by technological approaches to some degree\, the field of computational social science involves the use of tools\, data and methods that require a different skill set and mindset. \nThis free workshop is an introduction to computational social science. It offers attendees a chance to understand and discuss what computational social science is\, what it is good for\, how to become a computational social scientist\, and the basic steps to follow in an ideal computational social science research project. \nThe workshop intersperses instruction with discussion and gives participants the chance to develop a research project idea through several steps. The workshop is suitable for absolute beginners and NO CODING SKILLS are required. That said\, several Jupyter notebooks are provided to allow those who are interested to develop relevant coding skills through interactive exercises in their own time. \nPresenters: Louise Capener and Nadia Kennar \nKitchen\, R. (2014). Big Data\, new epistemologies and paradigm shifts. Big Data & Society\, https://doi.org/10.1177/2053951714528481. \nLevel: Any level\, from absolute beginner to statistics whizExperience/knowledge required: No specific knowledge required\, but it will make much more sense if you currently (or plan to) conduct social science researchTarget audience: Social scientists who are interested in or confused by what computational and empirical social science is about\, or who know they want to start doing more computational work but don’t know how to get started \nThis event is part of our UK Data Service introductory training series: Spring 2022. URL:https://www.crossda.hr/event/how-to-become-a-computational-social-scientist-2/ END:VEVENT BEGIN:VEVENT DTSTART;TZID=Europe/Zagreb:20220519T110000 DTEND;TZID=Europe/Zagreb:20220519T123000 DTSTAMP:20250325T164849Z CREATED:20250325T164849Z LAST-MODIFIED:20250325T164849Z UID:2659-1652958000-1652963400@www.crossda.hr SUMMARY:How to become a computational social scientist DESCRIPTION:Scientific research and teaching are increasingly influenced by computational tools\, methods and paradigms. The social sciences are no different\, with many new forms of social data only available or practical through computational means (Kitchen\, 2014). \nWhile social science research has always been marked by technological approaches to some degree\, the field of computational social science involves the use of tools\, data and methods that require a different skill set and mindset. \nThis free workshop is an introduction to computational social science. It offers attendees a chance to understand and discuss what computational social science is\, what it is good for\, how to become a computational social scientist\, and the basic steps to follow in an ideal computational social science research project. \nThe workshop intersperses instruction with discussion and gives participants the chance to develop a research project idea through several steps. The workshop is suitable for absolute beginners and NO CODING SKILLS are required. That said\, several Jupyter notebooks are provided to allow those who are interested to develop relevant coding skills through interactive exercises in their own time. \nPresenters: Louise Capener and Nadia Kennar \nKitchen\, R. (2014). Big Data\, new epistemologies and paradigm shifts. Big Data & Society\, https://doi.org/10.1177/2053951714528481. \nLevel: Any level\, from absolute beginner to statistics whizExperience/knowledge required: No specific knowledge required\, but it will make much more sense if you currently (or plan to) conduct social science researchTarget audience: Social scientists who are interested in or confused by what computational and empirical social science is about\, or who know they want to start doing more computational work but don’t know how to get started \nThis event is part of our UK Data Service introductory training series: Spring 2022. URL:https://www.crossda.hr/event/how-to-become-a-computational-social-scientist-2/ END:VEVENT BEGIN:VEVENT DTSTART;TZID=Europe/Zagreb:20220519T110000 DTEND;TZID=Europe/Zagreb:20220519T123000 DTSTAMP:20250408T123838Z CREATED:20250408T123838Z LAST-MODIFIED:20250408T123838Z UID:2885-1652958000-1652963400@www.crossda.hr SUMMARY:How to become a computational social scientist DESCRIPTION:Scientific research and teaching are increasingly influenced by computational tools\, methods and paradigms. The social sciences are no different\, with many new forms of social data only available or practical through computational means (Kitchen\, 2014). \nWhile social science research has always been marked by technological approaches to some degree\, the field of computational social science involves the use of tools\, data and methods that require a different skill set and mindset. \nThis free workshop is an introduction to computational social science. It offers attendees a chance to understand and discuss what computational social science is\, what it is good for\, how to become a computational social scientist\, and the basic steps to follow in an ideal computational social science research project. \nThe workshop intersperses instruction with discussion and gives participants the chance to develop a research project idea through several steps. The workshop is suitable for absolute beginners and NO CODING SKILLS are required. That said\, several Jupyter notebooks are provided to allow those who are interested to develop relevant coding skills through interactive exercises in their own time. \nPresenters: Louise Capener and Nadia Kennar \nKitchen\, R. (2014). Big Data\, new epistemologies and paradigm shifts. Big Data & Society\, https://doi.org/10.1177/2053951714528481. \nLevel: Any level\, from absolute beginner to statistics whizExperience/knowledge required: No specific knowledge required\, but it will make much more sense if you currently (or plan to) conduct social science researchTarget audience: Social scientists who are interested in or confused by what computational and empirical social science is about\, or who know they want to start doing more computational work but don’t know how to get started \nThis event is part of our UK Data Service introductory training series: Spring 2022. URL:https://www.crossda.hr/event/how-to-become-a-computational-social-scientist-2/ END:VEVENT BEGIN:VEVENT DTSTART;TZID=Europe/Zagreb:20220519T180000 DTEND;TZID=Europe/Zagreb:20220519T180000 DTSTAMP:20250408T123808Z CREATED:20250313T105120Z LAST-MODIFIED:20250408T123808Z UID:2160-1652983200-1652983200@www.crossda.hr SUMMARY:Persistent Identification of Instruments DESCRIPTION:Instruments play an essential role in creating research data but they are often only identified in the scientific literature using free text. Through the use of globally unique\, persistent identifiers (PIDs)\, it is now common practice to establish traceable links between research assets. This webinar introduces the Outputs of the RDA Persistent Identification of Instruments Working Group. Of particular focus are the metadata schema for persistent identification of instruments and the proposed solutions for publishing PIDs for instruments at established PID providers. Participants will learn of numerous infrastructures that have adopted the PIDINST Schema as well as B2INST as an EUDAT prototype service for low-barrier registration and persistent identification of instruments. \nThis webinar is designed for instrument database providers\, instrument manufacturers\, research infrastructures\, and researchers. URL:https://www.crossda.hr/event/persistent-identification-of-instruments/ END:VEVENT BEGIN:VEVENT DTSTART;TZID=Europe/Zagreb:20220520T110000 DTEND;TZID=Europe/Zagreb:20220520T123000 DTSTAMP:20250408T123823Z CREATED:20250313T105137Z LAST-MODIFIED:20250408T123823Z UID:2165-1653044400-1653049800@www.crossda.hr SUMMARY:Introduction to copyright: Copyright and publishing DESCRIPTION:This workshop is the first of two on ‘Introduction to Copyright’. The first session focuses on copyright considerations in the context of publishing while the second session focuses on copyright issues in secondary data use. \nCopyright is an area of scholarly communications that affects every researcher at some stage of their academic career. Engaging with copyright is therefore crucial to any involvement in both publishing and teaching\, affecting individuals\, and potentially the reputation of the institution. \nThe first session will introduce attendees to the brief origins of copyright with a focus on copyright considerations in both publishing and teaching. By the end of the session\, attendees will have a better understanding of different terms and licences available for publishing in different formats. \nAttendees will also be familiar with the blanket copyright licences that the UK Higher education institutions tend to utilise for teaching. Furthermore\, common copyright questions will be addressed and the importance of appreciating the situation-dependent nature of copyright will be highlighted. \nThis session links to the following areas of the Research Development Framework: \nresearch planning and publishingpublishing and open access \nThere will be time at the end for questions and discussion. \nPresenters: Hannah Pyman and Dr Hina Zahid \nLevel: IntroductoryExperience/knowledge required: NoneTarget audience: Researchers/anyone interested in copyright considerations in publishing and teaching \nWe will be using Mentimeter to ask questions in this workshop so you may benefit from having a second device ready for this\, such as a smartphone. \nThis event is part of our UK Data Service introductory training series: Spring 2022. URL:https://www.crossda.hr/event/introduction-to-copyright-copyright-and-publishing/ END:VEVENT BEGIN:VEVENT DTSTART;TZID=Europe/Zagreb:20220524T080000 DTEND;TZID=Europe/Zagreb:20220525T180000 DTSTAMP:20250408T124038Z CREATED:20250408T124038Z LAST-MODIFIED:20250408T124038Z UID:2891-1653379200-1653501600@www.crossda.hr SUMMARY:Basics of the R programming language – data wrangling and data visualization DESCRIPTION:We would like to invite you to join us for the first free\, two-day statistical course offered as part of the COORDINATE project. The aim of COORDINATE is to mobilize the community of researchers and organizations who will drive forwards the coordinated development of birth cohort and survey research on children’s wellbeing in Europe. \nThe aim of the statistical course is to familiarize participants with the basics of the open source programming language R and to teach data wrangling and data visualization using the R language and software packages from its ecosystem. The course is open to academic researchers from PhD students to full professors\, as well as policy practitioners and other researchers or analysts working in EU Member States and Associated Countries. \nA limited number of participants will be awarded financial support for travel and accommodation. Two lunches and one dinner will be provided for all participants. \nCourse outline \nThe course will be based around data provided by the Generations & Gender Programme. The Generations & Gender Programme Research Infrastructure provides scientists and policy makers with high quality and timely data about families and life course trajectories of individuals to enable researchers to contribute insights and answers to current societal and public policy challenges. \nThis course teaches the participants the basics of the R programming language\, how to use it to prepare data for visualization and analysis\, and how to visualize data. The course will be conducted in the free and popular RStudio integrated development environment. During the course\, participants will be given tips and tricks that make everyday work in RStudio easier. \nThe course will be conducted in English. Participants are expected to bring their own laptop with R and RStudio installed. Additional information regarding the required tools\, packages and data will be sent to accepted applicants. \nDay1: Basics of data wrangling using the R language \nThis part of the course covers the basics of the R programming language and the basics of what users need to know in order to prepare data for visualization and analysis. \nWe will begin this part by covering the basics of the R programming language. Participants will be shown the basic principles of R’s functioning (frequently used data types and data structures\, syntax)\, and will be taught how to search\, read\, and understand R’s documentation. \nLater\, participants will be taught how to execute data transformations\, how to cast data from the wide format to the long format (and vice versa)\, and how to format the data in a way consistent with the “tidy data” principles and other good data handling practices. \nDay2: Data visualization using the R language and the ggplot2 package \nThis part of the course covers the basic approaches to data visualization using the R programming language\, with a special emphasis on longitudinal data. Aside from R’s base plotting capabilities\, which will be demonstrated briefly\, the course will be using the ggplot2 package from the tidyverse ecosystem. \nggplot2 is based on a concise philosophical approach to data visualization (the grammar of graphics)\, which provides a flexible and powerful framework for the creation of any imaginable visualization. Participants will be shown the basics of the ggplot2 syntax (geom\, aes\, stat\, facet)\, and will be encouraged to build their own modular graphs which can easily be upgraded by adding additional layers. \nThe most frequent types of graphs used for the visualization of continuous (histogram\, density plot\, boxplot\, scatterplot) and categorical (bar plot\, surface plot) variables. Participants will also be shown ways to use ggplot2’s syntax in order to display complex relationships between variables by using colors\, shapes and sizes to emphasize group membership\, as well as using facets to display data for different groups of participants. \nWe will end the course by exploring the specifics of plotting longitudinal data. Data and summary statistics visualization using line graphs will be explored in detail. Methods for visualizing differences in distributions at different time points will also be demonstrated. \nExpected outcomes \nParticipants will learn how to use the R programming language through the RStudio interface\, and how to access and read the R language documentation. They will learn the basic data structures in R and their properties. Participants will be able to handle tabular data using the R language\, and to prepare the data for visualization. \nParticipants will learn the basic logic of the ggplot2 data visualization package and will be able to create basic plots of continuous and categorical data\, as well as summary statistics\, using the ggplot2 package. \nPreliminary course schedule \nDay 1: May 24\, 2022 \n09:00 – 10:00 Introduction: Presentation of the Generations & Gender Programme dataset \n10:00 – 13:00 Lecture: Basics of the R language\, and data wrangling in R \n13:00 – 14:00 Lunch \n14:00 – 17:00 Exercises: Basics of the R language\, and data wrangling in R \nDay 2: May 25\, 2022 \n09:00 – 13:00 Lecture: Data visualization in R \n13:00 – 14:00 Lunch \n14:00 – 15:30 Exercises: Data visualization in R \nAbout the lecturers \nOlgaGrünwald\,M.Sc.works as survey data coordinator in the Generations and Gender Programme. In her research\, she investigates the link between work and family. Besides that\, she is also interested in quantitative research methods and survey methodology. \nBlažRebernjak\,PhD is an assistant professor at the Department of Psychology at the Faculty of Humanities and Social Sciences of the University of Zagreb. \nDenisVlašiček\,M.Psych.is a research assistant at the Croatian Social Science Data Archive (CROSSDA) and a doctoral student of Psychology at the Department of Psychology at the Faculty of Humanities and Social Sciences of the University of Zagreb. \nEligibility \nTo be eligible for participation in this course\, applicants have to meet the following criteria: \n· The applicant must have a contract or affiliation with a recognized academic or public institution\, or a not-for-profit organization registered in an EU member state or in an associated country. \n· Researchers from COORDINATE partner institutions who are not involved in the COORDINATE project are eligible to apply. However\, as the objective of the project is to widen the network of researchers using child well-being data\, only a limited number of places will be awarded to applicants from COORDINATE partner institutions. \n· PhD students are eligible to apply\, however\, masters or bachelors students are not eligible. \nApplication form \nTo apply\, click here. The deadline for the application submission is the 8th of April\,23:59CEST. \nSelection procedure \nPriority will be given to early career researchers interested in working with data on child wellbeing. \nThe applications will be reviewed by a six-member committee\, which will score each application based on the information provided. \nApplicants will be notified about the decision by 15 April 2022. \nContact \nIf you have any questions\, please contact data.archive@ffzg.hr URL:https://www.crossda.hr/event/basics-of-the-r-programming-language-data-wrangling-and-data-visualization-2/ CATEGORIES:CROSSDA END:VEVENT BEGIN:VEVENT DTSTART;TZID=Europe/Zagreb:20220524T110000 DTEND;TZID=Europe/Zagreb:20220524T123000 DTSTAMP:20250408T123823Z CREATED:20250408T123823Z LAST-MODIFIED:20250408T123823Z UID:2884-1653390000-1653395400@www.crossda.hr SUMMARY:Getting started with secondary analysis DESCRIPTION:Participants will learn about the key issues to consider when using secondary data analysis as a method. This introductory workshop will briefly cover the pros and cons of reusing data and the importance of learning about the origins of your data. Quantitative and qualitative secondary analysis will be discussed with examples and issues of context\, sampling\, plus ethics raised. \nThe session is more conceptual than many of our other workshops\, which are more suited to those who want a more practical introduction to our data. The practical elements of the session will focus on exploring documentation and finding suitable data to support your research. \nThe free 90-minute workshop will consist of an interactive presentation followed by a live demonstration and a facilitated activity. There will be time at the end for questions and discussion. \nIn order to fully take part in the workshop\, attendees should already be familiar with the basic methods of qualitative or quantitative data research. \nPresenters: Nigel de Noronha and Maureen Haaker \nLevel: IntroductoryExperience/knowledge required: Basic methods of qualitative or quantitative data researchTarget audience: Researchers/anyone interested in reusing data \nThis event is part of our UK Data Service introductory training series: Spring 2022. URL:https://www.crossda.hr/event/getting-started-with-secondary-analysis-2/ END:VEVENT END:VCALENDAR