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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: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
BEGIN:VEVENT
DTSTART;TZID=Europe/Zagreb:20220527T110000
DTEND;TZID=Europe/Zagreb:20220527T123000
DTSTAMP:20250408T123823Z
CREATED:20250313T105137Z
LAST-MODIFIED:20250408T123823Z
UID:2163-1653649200-1653654600@www.crossda.hr
SUMMARY:Introduction to copyright: Copyright issues in secondary data use
DESCRIPTION:This second session on copyright focuses on copyright considerations in the context of secondary data use. The first session\, “Introduction to copyright: Copyright and publishing” provides an overview on copyright considerations in both publishing and teaching. \nThis free 90-minute online workshop will cover the following issues: \nSecondary data and its common sources.Copyright ownership and duration.Copyright exceptions and limitations.Copyright in an international context.Copyright and licenses.other relevant rights in secondary data use. \nBy the end of the session\, attendees will have a better understanding of copyright considerations when creating\, using or sharing data. For example\, what protection is offered under copyright and other relevant rights\, identifying copyright exemptions\, copyright ownership\, country-level diversity\, etc. \nThere will be time at the end for questions and discussion. \nPresenter: Dr Hina Zahid \nLevel: IntroductoryExperience/knowledge required: NoneTarget audience: Researchers/anyone interested in creating\, sharing and using data \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-issues-in-secondary-data-use/
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Zagreb:20220603T090000
DTEND;TZID=Europe/Zagreb:20220603T163000
DTSTAMP:20250408T123808Z
CREATED:20250313T105120Z
LAST-MODIFIED:20250408T123808Z
UID:2159-1654246800-1654273800@www.crossda.hr
SUMMARY:Data Spaces & Semantic Interoperability
DESCRIPTION:The continuously increasing number of data spaces and data markets in Europe\, as well as the related funding lines and regulations by the European Commission (for instance the Data Governance Act and several programme lines in Horizon Europe and Digital Europe) regarding the topics of (secure) data sharing of industrial and personal related data as well as research data clearly shows the increasing need to discuss\, specify and realise (semantic) data interoperability between such data spaces and beyond. \nA discussion about (semantic data) interoperability for data spaces includes (i) data space use cases\, (ii) requirements for interoperability\, (iii) existing and new standards in the field and (iv) technical solutions in place and in development\, (v) working and proven tools & technologies\, as well as (vi) legal issues and licenses\, besides other topics. \nThe assumption is that the concept of a data space as defined in IDSA and W3C‘s work on Linked data are complementary. IDSA is a big user of Linked data specifications and complements them with “connectors” to legacy systems. While W3C provides vocabularies like ODRL for constraints and provenance for data quality\, an IDSA data space has a concrete instance of those vocabularies specifying what can be done in a data space\, how data is shared and which limitations and obligations apply. \nThis one-day workshop brings together researchers\, decision makers and practitioners in the field of the development and operation of European data spaces\, data markets and other web-based data management systems that allow data sharing\, trading and data collaboration\, to discuss requirements\, standards\, tools\, licenses and more regarding (semantic data) interoperability in data spaces.
URL:https://www.crossda.hr/event/data-spaces-semantic-interoperability/
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Zagreb:20220607T080000
DTEND;TZID=Europe/Zagreb:20220610T180000
DTSTAMP:20250408T124039Z
CREATED:20250408T124039Z
LAST-MODIFIED:20250408T124039Z
UID:2894-1654588800-1654884000@www.crossda.hr
SUMMARY:IASSIST 2022 – Data by Design: Building a Sustainable Data Culture
DESCRIPTION:The conference theme\, “Data by Design: Building a Sustainable Data Culture”\, emphasizes two core values embedded in the culture of Gothenburg and Sweden: design and sustainability. See you in Gothenburg in 2022! \nWe invite you to explore these topics further and discuss what they could mean to data communities. \nThe Swedish National Data Service (SND) serves as conference host in 2022. As a national research data repository governed by a consortium consisting of nine Swedish universities and working in agreement with over 30 institutions\, SND has the potential to reach a large number of researchers who could gain from the knowledge exchange and experiences of IASSIST.
URL:https://www.crossda.hr/event/iassist-2022-data-by-design-building-a-sustainable-data-culture-2/
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Zagreb:20220607T120000
DTEND;TZID=Europe/Zagreb:20220607T133000
DTSTAMP:20250408T123823Z
CREATED:20250313T105137Z
LAST-MODIFIED:20250408T123823Z
UID:2162-1654603200-1654608600@www.crossda.hr
SUMMARY:Mapping crime data in R: An Introduction to GIS and spatial data
DESCRIPTION:Do you want to display crime data on maps but don’t know how? Crime data often contains spatial components. As a result\, analyses of crime data can create patterns that are clearly linked to geography. Naturally\, putting the data or analysis on a map makes a lot of sense. Unfortunately\, if you have never matched statistical data to spatial data then you may not know how easy it can be to make beautiful data maps! That’s where this workshop comes in! \nThis is the first of two free Mapping crime data in R workshops. This session will cover some fundamental theories and concepts surrounding GIS and spatial data. The second will be a live code demonstration using R to explore these concepts. \nThe aim of these workshops are to teach participants to use the R statistical and graphical environment to map open-source police recorded crime statistics onto geographic representations. \nMore specifically\, we will: \nuse R packages such as ggplot\, sf and tmaps\,briefly explore open-source crime data using Surrey as an example\,introduce how to download\, import and use spatial data in the form of shapefiles\,demonstrate how to join crime data to shapefiles\,introduce classification methods\,use census data to accurately map crime rate. \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. \nPresenter: Nadia Kennar\, UK Data Service \nEvent Level: Beginner \nPrerequisites: This workshop is suitable for intermediate (or higher) users of R but there is need to have experience with GIS software or spatial data. Users should be comfortable with how to set the working directory in R\, how to read in data\, how to write basic R functions and how to save scripts and output files. R and Rstudio must be already installed. \nTarget Audience: Researchers/anyone interested in crime and spatial data
URL:https://www.crossda.hr/event/mapping-crime-data-in-r-an-introduction-to-gis-and-spatial-data/
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Zagreb:20220608T120000
DTEND;TZID=Europe/Zagreb:20220608T133000
DTSTAMP:20250408T123823Z
CREATED:20250313T105136Z
LAST-MODIFIED:20250408T123823Z
UID:2161-1654689600-1654695000@www.crossda.hr
SUMMARY:Mapping crime data in R: Live code demonstration
DESCRIPTION:Do you want to display crime data on maps but don’t know how? Crime data often contains spatial components. As a result\, analyses of crime data can create patterns that are clearly linked to geography. Naturally\, putting the data or analysis on a map makes a lot of sense. Unfortunately\, if you have never matched statistical data to spatial data then you may not know how easy it can be to make beautiful data maps! That’s where this workshop comes in! \nThis is the second of two free Mapping crime data in R workshops. The first session will cover some fundamental theories and concepts surrounding GIS and spatial data. This session will be a live code demonstration using R to explore these concepts. \nThe aim of these workshops are to teach participants to use the R statistical and graphical environment to map open-source police recorded crime statistics onto geographic representations. \nMore specifically\, we will: \nuse R packages such as ggplot\, sf and tmaps\,briefly explore open-source crime data using Surrey as an example\,introduce how to download\, import and use spatial data in the form of shapefiles\,demonstrate how to join crime data to shapefiles\,introduce classification methods\,use census data to accurately map crime rate. \nPresenter: Nadia Kennar\, UK Data Service \nEvent Level: Beginner \nPrerequisites: This workshop is suitable for intermediate (or higher) users of R but there is need to have experience with GIS software or spatial data. Users should be comfortable with how to set the working directory in R\, how to read in data\, how to write basic R functions and how to save scripts and output files. R and Rstudio must be already installed. \nTarget Audience: Researchers/anyone interested in crime and spatial data
URL:https://www.crossda.hr/event/mapping-crime-data-in-r-live-code-demonstration/
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Zagreb:20220619T230000
DTEND;TZID=Europe/Zagreb:20220811T230000
DTSTAMP:20250313T105146Z
CREATED:20250313T105146Z
LAST-MODIFIED:20250313T105146Z
UID:2167-1655679600-1660258800@www.crossda.hr
SUMMARY:ICPSR Summer Program 2022
DESCRIPTION:We will be holding this year’s ICPSR Summer Program in a hybrid format\, with in-person classes for those who can attend in Ann Arbor and online access in either a synchronous or asynchronous mode. The dates for the main four-week sessions will extend from June 20 to July 15 for the first session\, and from July 18 to August 12 for the second session. We are adding short workshops starting in May and running through August as their schedules are firmed up. \nWe want you to know that instructors and in-person participants will be required to abide by all University of Michigan policies related to COVID 19\, which currently means that vaccination including a booster will be required and face masks must be worn inside campus buildings. There are well implemented procedures at Michigan for reporting and tracking vaccination and health status which we will follow. Online participants are treated as visitors under these policies and do not have to be vaccinated. All these policies are under continuous review; you will be kept informed of the latest revisions on this website and asked to acknowledge your review of them when you register. Before you can attend classes in Ann Arbor or other sites in-person\, you will have to report your vaccination status. \nDevelopment of these policies in a changing environment has taken time\, and we are still working to fill out the short workshop schedule; new workshops will be added as details are finalized. Registration is now open for both the four-week sessions and the short workshops\, and fees are unchanged from 2021. \nWe are looking forward to welcoming you to the Summer Program in whichever format you choose to participate. \n– Mike Traugott\, ICPSR Summer Program Interim Director
URL:https://www.crossda.hr/event/icpsr-summer-program-2022/
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Zagreb:20220620T000000
DTEND;TZID=Europe/Zagreb:20220812T000000
DTSTAMP:20250313T103425Z
CREATED:20250313T103425Z
LAST-MODIFIED:20250313T103425Z
UID:2357-1655683200-1660262400@www.crossda.hr
SUMMARY:ICPSR Summer Program 2022
DESCRIPTION:We will be holding this year’s ICPSR Summer Program in a hybrid format\, with in-person classes for those who can attend in Ann Arbor and online access in either a synchronous or asynchronous mode. The dates for the main four-week sessions will extend from June 20 to July 15 for the first session\, and from July 18 to August 12 for the second session. We are adding short workshops starting in May and running through August as their schedules are firmed up. \nWe want you to know that instructors and in-person participants will be required to abide by all University of Michigan policies related to COVID 19\, which currently means that vaccination including a booster will be required and face masks must be worn inside campus buildings. There are well implemented procedures at Michigan for reporting and tracking vaccination and health status which we will follow. Online participants are treated as visitors under these policies and do not have to be vaccinated. All these policies are under continuous review; you will be kept informed of the latest revisions on this website and asked to acknowledge your review of them when you register. Before you can attend classes in Ann Arbor or other sites in-person\, you will have to report your vaccination status. \nDevelopment of these policies in a changing environment has taken time\, and we are still working to fill out the short workshop schedule; new workshops will be added as details are finalized. Registration is now open for both the four-week sessions and the short workshops\, and fees are unchanged from 2021. \nWe are looking forward to welcoming you to the Summer Program in whichever format you choose to participate. \n– Mike Traugott\, ICPSR Summer Program Interim Director
URL:https://www.crossda.hr/event/icpsr-summer-program-2022/
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Zagreb:20220620T000000
DTEND;TZID=Europe/Zagreb:20220812T000000
DTSTAMP:20250325T164849Z
CREATED:20250325T164849Z
LAST-MODIFIED:20250325T164849Z
UID:2660-1655683200-1660262400@www.crossda.hr
SUMMARY:ICPSR Summer Program 2022
DESCRIPTION:We will be holding this year’s ICPSR Summer Program in a hybrid format\, with in-person classes for those who can attend in Ann Arbor and online access in either a synchronous or asynchronous mode. The dates for the main four-week sessions will extend from June 20 to July 15 for the first session\, and from July 18 to August 12 for the second session. We are adding short workshops starting in May and running through August as their schedules are firmed up. \nWe want you to know that instructors and in-person participants will be required to abide by all University of Michigan policies related to COVID 19\, which currently means that vaccination including a booster will be required and face masks must be worn inside campus buildings. There are well implemented procedures at Michigan for reporting and tracking vaccination and health status which we will follow. Online participants are treated as visitors under these policies and do not have to be vaccinated. All these policies are under continuous review; you will be kept informed of the latest revisions on this website and asked to acknowledge your review of them when you register. Before you can attend classes in Ann Arbor or other sites in-person\, you will have to report your vaccination status. \nDevelopment of these policies in a changing environment has taken time\, and we are still working to fill out the short workshop schedule; new workshops will be added as details are finalized. Registration is now open for both the four-week sessions and the short workshops\, and fees are unchanged from 2021. \nWe are looking forward to welcoming you to the Summer Program in whichever format you choose to participate. \n– Mike Traugott\, ICPSR Summer Program Interim Director
URL:https://www.crossda.hr/event/icpsr-summer-program-2022/
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Zagreb:20220620T080000
DTEND;TZID=Europe/Zagreb:20220623T180000
DTSTAMP:20250408T123808Z
CREATED:20250408T123808Z
LAST-MODIFIED:20250408T123808Z
UID:2883-1655712000-1656007200@www.crossda.hr
SUMMARY:International Data Week 2022 – Data to Improve our World
DESCRIPTION:International Data Week (IDW) brings together data scientists\, researchers\, industry leaders\, entrepreneurs\, policymakers and data stewards from disciplines across the globe to explore how best to exploit the data revolution to improve science and society through data-driven discovery and innovation. \nIDW combines the Research Data Alliance (RDA) Plenary Meeting\, the biannual meeting of this international member organisation working to develop and support global infrastructure facilitating data sharing and reuse\, and SciDataCon\, the scientific conference addressing the frontiers of data in research organised by the International Science Council’s Committee on Data (CODATA) and World Data System (WDS). \nThe theme chosen for this edition is DATA TO IMPROVE OUR WORLD. In the era of the fourth industrial revolution\, data have become an important resource that drives science and technology and leads to new discoveries\, innovation\, and economic growth.
URL:https://www.crossda.hr/event/international-data-week-2022-data-to-improve-our-world-2/
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Zagreb:20220620T080000
DTEND;TZID=Europe/Zagreb:20220812T180000
DTSTAMP:20250408T123838Z
CREATED:20250408T123838Z
LAST-MODIFIED:20250408T123838Z
UID:2886-1655712000-1660327200@www.crossda.hr
SUMMARY:ICPSR Summer Program 2022
DESCRIPTION:We will be holding this year’s ICPSR Summer Program in a hybrid format\, with in-person classes for those who can attend in Ann Arbor and online access in either a synchronous or asynchronous mode. The dates for the main four-week sessions will extend from June 20 to July 15 for the first session\, and from July 18 to August 12 for the second session. We are adding short workshops starting in May and running through August as their schedules are firmed up. \nWe want you to know that instructors and in-person participants will be required to abide by all University of Michigan policies related to COVID 19\, which currently means that vaccination including a booster will be required and face masks must be worn inside campus buildings. There are well implemented procedures at Michigan for reporting and tracking vaccination and health status which we will follow. Online participants are treated as visitors under these policies and do not have to be vaccinated. All these policies are under continuous review; you will be kept informed of the latest revisions on this website and asked to acknowledge your review of them when you register. Before you can attend classes in Ann Arbor or other sites in-person\, you will have to report your vaccination status. \nDevelopment of these policies in a changing environment has taken time\, and we are still working to fill out the short workshop schedule; new workshops will be added as details are finalized. Registration is now open for both the four-week sessions and the short workshops\, and fees are unchanged from 2021. \nWe are looking forward to welcoming you to the Summer Program in whichever format you choose to participate. \n– Mike Traugott\, ICPSR Summer Program Interim Director
URL:https://www.crossda.hr/event/icpsr-summer-program-2022/
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Zagreb:20220705T140000
DTEND;TZID=Europe/Zagreb:20220705T153000
DTSTAMP:20260319T224339Z
CREATED:20250313T105045Z
LAST-MODIFIED:20260319T224339Z
UID:2150-1657029600-1657035000@www.crossda.hr
SUMMARY:Webinar “Uloga časopisa u poticanju pristupa istraživačkim podacima”
DESCRIPTION:Hrvatska udruga za znanstvenu komunikaciju – ZNAK i Hrvatski arhiv podataka za društvene znanosti CROSSDA organiziraju webinar “Uloga časopisa u poticanju pristupa istraživačkim podacima” koji će se održati 5. srpnja 2022. od 14:00 do 15:30\, uz pomož platforme Zoom. \nPrijavite se na adresi: https://www.znak.hr/index.php/webinar \nDostupnost istraživačkih podataka uz članke koji se objavljuju u časopisima polako\, ali sigurno\, postaje uobičajena praksa u znanstvenoj komunikaciji. Europska komisija i drugi financijeri znanstvenih istraživanja postavili su visoka očekivanja pred znanstvenike u smjeru što veće otvorenosti i dostupnosti svih oblika znanstvenog rada i rezultata. No\, upravo su znanstveni časopisi\, zbog njihove važne uloge u znanstvenoj komunikaciji\, glavna točka ostvarivanja otvorene znanosti u praksi. \nHrvatske časopise često ističemo kao posebno uspješan primjer implementacije otvorenog pristupa znanstvenim člancima. Posebno je vrijedno to što je većina hrvatskih časopisa u otvorenom pristupu odabrala dijamantni put\, ne naplaćujući naknade autorima i čitateljima\, što je unutar EU prepoznato kao najbolji način osiguravanja jednakosti\, raznolikosti\, uključivosti i višejezičnosti. Usklađivanje standarda kvalitete časopisa na europskoj razini\, postizanje veće vjerodostojnosti objavljenih radova i transparentnosti cijelog istraživačkog procesa sljedeći je korak\, pri čemu dostupnost istraživačkih podataka u podlozi objavljenih rezultata ima izuzetno važnu ulogu. \nKako se ovaj segment otvorene znanosti u Hrvatskoj još uvijek nedovoljno razmatra\, odlučili smo organizirati webinar kojim bismo potaknuli razgovor o važnosti pristupa istraživačkim podacima\, prikazali zahtjeve financijera znanstvenih istraživanja\, predstavili postojeće smjernice za implementaciju uredničkih politika o dostupnosti istraživačkih podataka i raspoloživu infrastrukturu za pohranu i pristup podacima\, te se osvrnuli na glavne izazove s kojima se urednici i autori mogu suočiti. \nVeselimo se zajedničkoj raspravi o ovim važnim temama.
URL:https://www.crossda.hr/event/webinar-uloga-casopisa-u-poticanju-pristupa-istrazivackim-podacima/
CATEGORIES:CROSSDA
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Zagreb:20220705T140000
DTEND;TZID=Europe/Zagreb:20220705T153000
DTSTAMP:20250408T123738Z
CREATED:20250408T123738Z
LAST-MODIFIED:20250408T123738Z
UID:2876-1657029600-1657035000@www.crossda.hr
SUMMARY:Webinar “Uloga časopisa u poticanju pristupa istraživačkim podacima”
DESCRIPTION:Hrvatska udruga za znanstvenu komunikaciju – ZNAK i Hrvatski arhiv podataka za društvene znanosti CROSSDA organiziraju webinar “Uloga časopisa u poticanju pristupa istraživačkim podacima” koji će se održati 5. srpnja 2022. od 14:00 do 15:30\, uz pomož platforme Zoom. \nPrijavite se na adresi: https://www.znak.hr/index.php/webinar \nDostupnost istraživačkih podataka uz članke koji se objavljuju u časopisima polako\, ali sigurno\, postaje uobičajena praksa u znanstvenoj komunikaciji. Europska komisija i drugi financijeri znanstvenih istraživanja postavili su visoka očekivanja pred znanstvenike u smjeru što veće otvorenosti i dostupnosti svih oblika znanstvenog rada i rezultata. No\, upravo su znanstveni časopisi\, zbog njihove važne uloge u znanstvenoj komunikaciji\, glavna točka ostvarivanja otvorene znanosti u praksi. \nHrvatske časopise često ističemo kao posebno uspješan primjer implementacije otvorenog pristupa znanstvenim člancima. Posebno je vrijedno to što je većina hrvatskih časopisa u otvorenom pristupu odabrala dijamantni put\, ne naplaćujući naknade autorima i čitateljima\, što je unutar EU prepoznato kao najbolji način osiguravanja jednakosti\, raznolikosti\, uključivosti i višejezičnosti. Usklađivanje standarda kvalitete časopisa na europskoj razini\, postizanje veće vjerodostojnosti objavljenih radova i transparentnosti cijelog istraživačkog procesa sljedeći je korak\, pri čemu dostupnost istraživačkih podataka u podlozi objavljenih rezultata ima izuzetno važnu ulogu. \nKako se ovaj segment otvorene znanosti u Hrvatskoj još uvijek nedovoljno razmatra\, odlučili smo organizirati webinar kojim bismo potaknuli razgovor o važnosti pristupa istraživačkim podacima\, prikazali zahtjeve financijera znanstvenih istraživanja\, predstavili postojeće smjernice za implementaciju uredničkih politika o dostupnosti istraživačkih podataka i raspoloživu infrastrukturu za pohranu i pristup podacima\, te se osvrnuli na glavne izazove s kojima se urednici i autori mogu suočiti. \nVeselimo se zajedničkoj raspravi o ovim važnim temama.
URL:https://www.crossda.hr/event/webinar-uloga-casopisa-u-poticanju-pristupa-istrazivackim-podacima-2/
CATEGORIES:CROSSDA
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Zagreb:20220711T080000
DTEND;TZID=Europe/Zagreb:20220722T180000
DTSTAMP:20250408T123753Z
CREATED:20250408T123753Z
LAST-MODIFIED:20250408T123753Z
UID:2880-1657526400-1658512800@www.crossda.hr
SUMMARY:The CODATA-RDA Research Data Science Summer School
DESCRIPTION:An ICTP Hybrid Meeting. You can submit your application for participation in presence or online.This activity focuses on building a range of data-related skills that are vital for addressing trans-disciplinary challenges in contemporary research work.The Summer School builds competence in data analysis and security for participants from all disciplines and/ or backgrounds from sciences to humanities. Topics to be covered include principles and practice of research data management\, authorship in the 21st century\, data curation\, data security\, Open Science\, visualization\, machine learning and artificial neural networks.The activity includes practical hands-on sessions on techniques and applications for large-scale data handling\, analysis\, visualization and modeling on a variety of compute infrastructure including high performance compute platforms/systems.An associated activity focusing on advanced aspects of Data Science will run immediately after this event and requires a separate application.Topics: \nIntroduction to the Unix shellResearch Data ManagementOpen and Responsible ResearchAuthor CarpentryInformation SecurityData VisualisationMachine LearningArtificial Neural NetworksComputational Infrastructures \nGrants: A limited number of grants are available to support the attendance of selected participants from developing countries. There is no registration fee.In person participation: As regards the COVID-19 policy\, we advise to follow the updated rules available on the ICTP page Access Guidelines for Visitors.
URL:https://www.crossda.hr/event/the-codata-rda-research-data-science-summer-school-2/
LOCATION:Hybrid – Online and In-Person
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Zagreb:20220712T130000
DTEND;TZID=Europe/Zagreb:20220712T163000
DTSTAMP:20250408T123753Z
CREATED:20250313T105102Z
LAST-MODIFIED:20250408T123753Z
UID:2151-1657630800-1657643400@www.crossda.hr
SUMMARY:Online workshop: Using the Geographical Information System QGIS for data analysis
DESCRIPTION:Geographical and georeferenced data are gaining increasing importance in social science research. For example\, it is becoming more common to add geographical data related to the social or physical environment as contextual variables to social surveys or to aggregate social survey results at various geographical scales. Using geographical data in our research necessitates additional analytical skills and workflows\, usually related to some sort of Geographical Information System (GIS). GIS can be defined as a collection of tools to process\, analyze and visualize data containing spatial information; such tools have been developed as “packages” for statistical software R or for the programming language Python\, but these require intermediate to advanced coding skills. On the other hand\, there are also GIS software solutions by various corporations which may be unaffordable for certain contexts\, such as independent researchers of non-governmental organisations. \nFor this workshop we will be using the free and open source software QGIS\, which is widely available and fully maintained by a strong community of volunteers and supporting organisations. In addition to the main QGIS software\, there is a wide range of training material produced by the QGIS community and many educational and research institutes. \nIn this workshop\, participants will learn how to use QGIS for basic data processing and introductory spatial analysis. They will also learn about common GIS formats\, importing data\, processing them for further analysis and mapping their results. \nPresenter: Dr Serafeim Alvanides\, GESIS – Leibniz Institute for the Social Sciences \nProgram \n13:00-13:30: Introduction: GIS what is it and how to use it13:30-13:35: Exercise 1: QGIS Warm up13:35-14:00: GIS formats and Tabular Data Processing14:00-14:45: Exercise 2: Working with attribute tables14:45-15:00: Break15:00-15:30: Spatial data analysis and mapping15:30-16:15: Exercise 3: Working with spatial data16:15-16:30: Closing\, Q & A
URL:https://www.crossda.hr/event/online-workshop-using-the-geographical-information-system-qgis-for-data-analysis/
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Zagreb:20220803T080000
DTEND;TZID=Europe/Zagreb:20220826T180000
DTSTAMP:20250408T123808Z
CREATED:20250408T123808Z
LAST-MODIFIED:20250408T123808Z
UID:2881-1659513600-1661536800@www.crossda.hr
SUMMARY:GESIS Summer School in Survey Methodology 2022
DESCRIPTION:Every August since 2012\, the Summer School in Survey Methodology usually takes place at GESIS in Cologne\, Germany. Lecturers and participants from all over the world and from many different fields come to Cologne to take part in Europe’s leading summer school on survey methodology\, research design\, and data collection – recommended by the European Survey Research Association (ESRA).  \nFor registration and detailed course descriptions go to training.gesis.org. \nBy navigating the site’s menu or clicking the following links\, you can find more information on course contents\, course structure\, course fees\, the summer school’s plenary and social program\, ECTS credits\, scholarships\, our partners and sponsors\, and how to contact us.
URL:https://www.crossda.hr/event/gesis-summer-school-in-survey-methodology-2022-2/
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Zagreb:20220811T080000
DTEND;TZID=Europe/Zagreb:20220826T180000
DTSTAMP:20250408T123753Z
CREATED:20250408T123753Z
LAST-MODIFIED:20250408T123753Z
UID:2877-1660204800-1661536800@www.crossda.hr
SUMMARY:26th Summer School in Social Science Methods
DESCRIPTION:The Summer School in Social Science Methods has been conceived for those who feel the need to refresh\, deepen and widen their methodological knowledge and skills\, whatever their professional situation: student\, researcher or practitioner. \nEven in COVID-19 times\, researchers should take care of improving your methodological skills: we guarantee the organization of the 26th Summer School again this year. Our goal is to organize it in presence but should the situation require it\, the summer school will also switch to remote mode.
URL:https://www.crossda.hr/event/26th-summer-school-in-social-science-methods-2/
LOCATION:Hybrid – Online and In-Person
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Zagreb:20220912T080000
DTEND;TZID=Europe/Zagreb:20220917T180000
DTSTAMP:20250408T123753Z
CREATED:20250408T123753Z
LAST-MODIFIED:20250408T123753Z
UID:2878-1662969600-1663437600@www.crossda.hr
SUMMARY:University of Maribor Open Science Summer School
DESCRIPTION:Skills and competencies related to data literacy and data management are indispensable in today’s data-intensive research environment\, both in STEM as well as in the humanities and social sciences. In recent years\, there has been a significant shift in scientific communication towards open science\, and many new approaches\, tools and technologies have emerged\, enabling a research process that goes beyond the traditional way of research. Open science has the potential to lead researchers to an open\, collaborative\, transparent\, reproducible and\, therefore\, effective research process. \nThe University of Maribor Summer School offers PhD students and young researchers an opportunity to learn and develop skills in the fields of research data management\, open access to research results\, the use of open research infrastructure\, supercomputing resources and the European Open Science Cloud. With lectures and workshops led by domestic and international experts\, the course will provide a deeper understanding of these topics and insight into valuable practical experience.
URL:https://www.crossda.hr/event/university-of-maribor-open-science-summer-school-2/
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Zagreb:20220915T140000
DTEND;TZID=Europe/Zagreb:20220915T163000
DTSTAMP:20250408T123738Z
CREATED:20250313T105045Z
LAST-MODIFIED:20250408T123738Z
UID:2149-1663250400-1663259400@www.crossda.hr
SUMMARY:New Data Types in Data Management and Archiving
DESCRIPTION:Summary \nNew Data Types in Data Management and Archiving workshop will focus on the management\, archiving and access to new types of data\, i.e. administrative\, transactional and social media data. The program will consist of four presentations tackling various issues related to handling the new types of data in data repositories and sharing these data in the community of social researchers. The speakers’ presentations will be followed by the panel discussion\, where audience members are encouraged to participate and bring in their own experiences of archivists\, data managers and researchers. The event is part of the CESSDA training activities. \nProgram: \n14:00 – 14:20: “Current capacities among CESSDA SPs for handling new data types”\, Martin Vávra (Czech Social Science Data Archive) \nThe talk will be focused on the current strengths and weaknesses of the CESSDA archives with regard to handling new types of data. The presentation relies on findings from a survey of CESSDA Service Providers carried in 2021\, and brings forward information about the archives’ strategies for the handling of new data types\, as well as their actual experience with the new types of data. \n14:20 – 14:40: “Proposals for a More Coordinated Approach to Handling New Data Types Across CESSDA SPs”\, Brian Kleiner (FORS) \nThis presentation will put forward several proposals for a range of activities that could be implemented within CESSDA to help SPs better coordinate and benefit from synergies with respect to handling new data types. The aim will be to stimulate discussion among SPs about how such proposals could be put into action in a realistic way\, given limited resources.  \n14:40 – 15:00: “Social Media Data Sharing in Social Research”\, Yevhen Voronin (GESIS) \nThe talk will present the results from an online survey of social scientists using social media data for their research and having published journal articles based on social media data between 2018 and 2021. The presentation will cover reasons why researchers do not share social media data and challenges while sharing (or considering to share) these data\, and predictors of different intentions to share social media data. \n15:00 – 15:20: “Social Science in the Embattled Digital Age: Adversarial Creation\, Use and Sharing of New Data Types”\, Pascal Jurgens (Johannes Gutenberg University Mainz) \nThis presentation will introduce a data scientist’s personal experiences regarding new data types – from data collection\, self-archiving\, analysis\, and publishing across open data/open source and commercial projects\, along with ethical implications. It will include ethical\, legal\, political and pragmatic perspectives regarding future challenges and opportunities for archives. \n15:20 – 15:30: Break \n15:30 – 16:20: The panel discussion
URL:https://www.crossda.hr/event/new-data-types-in-data-management-and-archiving/
END:VEVENT
END:VCALENDAR