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X-ORIGINAL-URL:https://www.crossda.hr
X-WR-CALDESC:Događaji za CROSSDA
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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: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: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: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: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: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: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: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: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: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: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: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:20220124T080000
DTEND;TZID=Europe/Zagreb:20220124T180000
DTSTAMP:20250408T124239Z
CREATED:20250408T124239Z
LAST-MODIFIED:20250408T124239Z
UID:2896-1643011200-1643047200@www.crossda.hr
SUMMARY:SSHOC Workshop: Copyright Issues in Secondary Data Use
DESCRIPTION:This is a two-day interactive workshop taking place on the 24th and 25th of January 2022 from 09.30 to 12.30 GMT each day. \nEvent Overview \nThere is a misconception in the research community that the use of secondary data does not entail legal considerations. Secondary data is an intellectual property of the data owner\, so any use of that data may require the data owner’s permission or may be subject to certain terms and conditions. Therefore\, this online workshop is specifically designed to highlight these issues and help you overcome these. \nIn this two-day online workshop\, participants will understand what needs to be taken into account when creating\, using and sharing data. It will cover the following topics: \nWhat is secondary data?Introduction to the copyrightLayers and duration of copyrightCopyright licensesCopyright in an international contextCopyright exceptionsOther rights \nThe two-day workshop will include lectures and presentations with individual exercises and group discussions. \nLearning objectives \nGain a better understanding of copyright such as what is copyright\, what is covered\, who owns it and what is the duration?Identify copyright exemptions and gain a better appreciation of fair dealingBe able to differentiate between available copyright licences and assess these licences when publishing their own dataBe able to identify country-level diversity in copyright laws and gain a basic understanding of other types of rights in data \nTarget Audience \nThis workshop is intended for anyone who wants to learn about basic copyright principles and is interested in creating\, sharing and using data. \nPlease note the number of attendees is limited and we kindly ask those that register to be able to attend both days. \nRegister
URL:https://www.crossda.hr/event/sshoc-workshop-copyright-issues-in-secondary-data-use/
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Zagreb:20220124T000000
DTEND;TZID=Europe/Zagreb:20220124T000000
DTSTAMP:20250325T164919Z
CREATED:20250325T164919Z
LAST-MODIFIED:20250325T164919Z
UID:2665-1642982400-1642982400@www.crossda.hr
SUMMARY:SSHOC Workshop: Copyright Issues in Secondary Data Use
DESCRIPTION:This is a two-day interactive workshop taking place on the 24th and 25th of January 2022 from 09.30 to 12.30 GMT each day. \nEvent Overview \nThere is a misconception in the research community that the use of secondary data does not entail legal considerations. Secondary data is an intellectual property of the data owner\, so any use of that data may require the data owner’s permission or may be subject to certain terms and conditions. Therefore\, this online workshop is specifically designed to highlight these issues and help you overcome these. \nIn this two-day online workshop\, participants will understand what needs to be taken into account when creating\, using and sharing data. It will cover the following topics: \nWhat is secondary data?Introduction to the copyrightLayers and duration of copyrightCopyright licensesCopyright in an international contextCopyright exceptionsOther rights \nThe two-day workshop will include lectures and presentations with individual exercises and group discussions. \nLearning objectives \nGain a better understanding of copyright such as what is copyright\, what is covered\, who owns it and what is the duration?Identify copyright exemptions and gain a better appreciation of fair dealingBe able to differentiate between available copyright licences and assess these licences when publishing their own dataBe able to identify country-level diversity in copyright laws and gain a basic understanding of other types of rights in data \nTarget Audience \nThis workshop is intended for anyone who wants to learn about basic copyright principles and is interested in creating\, sharing and using data. \nPlease note the number of attendees is limited and we kindly ask those that register to be able to attend both days. \nRegister
URL:https://www.crossda.hr/event/sshoc-workshop-copyright-issues-in-secondary-data-use/
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Zagreb:20220124T000000
DTEND;TZID=Europe/Zagreb:20220124T000000
DTSTAMP:20250313T103626Z
CREATED:20250313T103626Z
LAST-MODIFIED:20250313T103626Z
UID:2367-1642982400-1642982400@www.crossda.hr
SUMMARY:SSHOC Workshop: Copyright Issues in Secondary Data Use
DESCRIPTION:This is a two-day interactive workshop taking place on the 24th and 25th of January 2022 from 09.30 to 12.30 GMT each day. \nEvent Overview \nThere is a misconception in the research community that the use of secondary data does not entail legal considerations. Secondary data is an intellectual property of the data owner\, so any use of that data may require the data owner’s permission or may be subject to certain terms and conditions. Therefore\, this online workshop is specifically designed to highlight these issues and help you overcome these. \nIn this two-day online workshop\, participants will understand what needs to be taken into account when creating\, using and sharing data. It will cover the following topics: \nWhat is secondary data?Introduction to the copyrightLayers and duration of copyrightCopyright licensesCopyright in an international contextCopyright exceptionsOther rights \nThe two-day workshop will include lectures and presentations with individual exercises and group discussions. \nLearning objectives \nGain a better understanding of copyright such as what is copyright\, what is covered\, who owns it and what is the duration?Identify copyright exemptions and gain a better appreciation of fair dealingBe able to differentiate between available copyright licences and assess these licences when publishing their own dataBe able to identify country-level diversity in copyright laws and gain a basic understanding of other types of rights in data \nTarget Audience \nThis workshop is intended for anyone who wants to learn about basic copyright principles and is interested in creating\, sharing and using data. \nPlease note the number of attendees is limited and we kindly ask those that register to be able to attend both days. \nRegister
URL:https://www.crossda.hr/event/sshoc-workshop-copyright-issues-in-secondary-data-use/
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Zagreb:20220123T230000
DTEND;TZID=Europe/Zagreb:20220123T230000
DTSTAMP:20250313T105152Z
CREATED:20250313T105152Z
LAST-MODIFIED:20250313T105152Z
UID:2177-1642978800-1642978800@www.crossda.hr
SUMMARY:SSHOC Workshop: Copyright Issues in Secondary Data Use
DESCRIPTION:This is a two-day interactive workshop taking place on the 24th and 25th of January 2022 from 09.30 to 12.30 GMT each day. \nEvent Overview \nThere is a misconception in the research community that the use of secondary data does not entail legal considerations. Secondary data is an intellectual property of the data owner\, so any use of that data may require the data owner’s permission or may be subject to certain terms and conditions. Therefore\, this online workshop is specifically designed to highlight these issues and help you overcome these. \nIn this two-day online workshop\, participants will understand what needs to be taken into account when creating\, using and sharing data. It will cover the following topics: \nWhat is secondary data?Introduction to the copyrightLayers and duration of copyrightCopyright licensesCopyright in an international contextCopyright exceptionsOther rights \nThe two-day workshop will include lectures and presentations with individual exercises and group discussions. \nLearning objectives \nGain a better understanding of copyright such as what is copyright\, what is covered\, who owns it and what is the duration?Identify copyright exemptions and gain a better appreciation of fair dealingBe able to differentiate between available copyright licences and assess these licences when publishing their own dataBe able to identify country-level diversity in copyright laws and gain a basic understanding of other types of rights in data \nTarget Audience \nThis workshop is intended for anyone who wants to learn about basic copyright principles and is interested in creating\, sharing and using data. \nPlease note the number of attendees is limited and we kindly ask those that register to be able to attend both days. \nRegister
URL:https://www.crossda.hr/event/sshoc-workshop-copyright-issues-in-secondary-data-use/
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Zagreb:20211215T160000
DTEND;TZID=Europe/Zagreb:20211215T180000
DTSTAMP:20250408T124240Z
CREATED:20250408T124240Z
LAST-MODIFIED:20250408T124240Z
UID:2898-1639584000-1639591200@www.crossda.hr
SUMMARY:Live podcast: Leading Data Communities – A CESSDA/ICPSR Discussion
DESCRIPTION:If you love data\, this live podcast is for you! \nJoin CESSDA Director Ron Dekker (Europe) and ICPSR Director Margaret Levenstein (USA)\, at the helm of two of the world’s largest data consortia. \nGet your questions answered and hear stories of navigating the pandemic\, data access\, privacy\, and more! \nAttendance at this live podcast session is free and open to the public. A live transcript will be available. \nThe episode will be recorded and made available after the live show.
URL:https://www.crossda.hr/event/live-podcast-leading-data-communities-a-cessda-icpsr-discussion/
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Zagreb:20211215T160000
DTEND;TZID=Europe/Zagreb:20211215T160000
DTSTAMP:20250325T164934Z
CREATED:20250325T164934Z
LAST-MODIFIED:20250325T164934Z
UID:2667-1639584000-1639584000@www.crossda.hr
SUMMARY:Live podcast: Leading Data Communities – A CESSDA/ICPSR Discussion
DESCRIPTION:If you love data\, this live podcast is for you! \nJoin CESSDA Director Ron Dekker (Europe) and ICPSR Director Margaret Levenstein (USA)\, at the helm of two of the world’s largest data consortia. \nGet your questions answered and hear stories of navigating the pandemic\, data access\, privacy\, and more! \nAttendance at this live podcast session is free and open to the public. A live transcript will be available. \nThe episode will be recorded and made available after the live show.
URL:https://www.crossda.hr/event/live-podcast-leading-data-communities-a-cessda-icpsr-discussion/
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Zagreb:20211215T160000
DTEND;TZID=Europe/Zagreb:20211215T160000
DTSTAMP:20250313T103626Z
CREATED:20250313T103626Z
LAST-MODIFIED:20250313T103626Z
UID:2369-1639584000-1639584000@www.crossda.hr
SUMMARY:Live podcast: Leading Data Communities – A CESSDA/ICPSR Discussion
DESCRIPTION:If you love data\, this live podcast is for you! \nJoin CESSDA Director Ron Dekker (Europe) and ICPSR Director Margaret Levenstein (USA)\, at the helm of two of the world’s largest data consortia. \nGet your questions answered and hear stories of navigating the pandemic\, data access\, privacy\, and more! \nAttendance at this live podcast session is free and open to the public. A live transcript will be available. \nThe episode will be recorded and made available after the live show.
URL:https://www.crossda.hr/event/live-podcast-leading-data-communities-a-cessda-icpsr-discussion/
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Zagreb:20211215T150000
DTEND;TZID=Europe/Zagreb:20211215T150000
DTSTAMP:20250313T105152Z
CREATED:20250313T105152Z
LAST-MODIFIED:20250313T105152Z
UID:2179-1639580400-1639580400@www.crossda.hr
SUMMARY:Live podcast: Leading Data Communities – A CESSDA/ICPSR Discussion
DESCRIPTION:If you love data\, this live podcast is for you! \nJoin CESSDA Director Ron Dekker (Europe) and ICPSR Director Margaret Levenstein (USA)\, at the helm of two of the world’s largest data consortia. \nGet your questions answered and hear stories of navigating the pandemic\, data access\, privacy\, and more! \nAttendance at this live podcast session is free and open to the public. A live transcript will be available. \nThe episode will be recorded and made available after the live show.
URL:https://www.crossda.hr/event/live-podcast-leading-data-communities-a-cessda-icpsr-discussion/
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Zagreb:20211210T100000
DTEND;TZID=Europe/Zagreb:20211210T130000
DTSTAMP:20250408T124240Z
CREATED:20250408T124240Z
LAST-MODIFIED:20250408T124240Z
UID:2897-1639130400-1639141200@www.crossda.hr
SUMMARY:Predstavljanje arhiva CROSSDA u Zadru
DESCRIPTION:Predstavljanje Hrvatskog arhiva podataka za društvene znanosti (CROSSDA) održat će se 10. 12. 2021. od 10 – 13 sati na Sveučilištu u Zadru\, u zgradi Rektorata\, dvorana 2.3. \nPredstavljanje je zamišljeno kao razgovor s istraživačima o nekoliko tema. Ovo je okvirni program\, uz napomenu da želimo biti fleksibilni i prilagoditi se interesima publike \n10:00-11:00 sati \npronalaženje i korištenje postojećih istraživačkih podatakaupravljanje podacima u istraživanjima u području društvenih znanostiprocedure za pohranu podataka u arhivu CROSSDA \n11:00-11:30 pauza za kavu \n11:30-13:00 \nprepreke i poticaji za dijeljenje podatakatransparentnost istraživačkog procesaalati za postizanje transparentnosti \nMolimo da svoj dolazak prijavite na mglavica@ffzg.hr.
URL:https://www.crossda.hr/event/predstavljanje-arhiva-crossda-u-zadru/
CATEGORIES:CROSSDA
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Zagreb:20211210T100000
DTEND;TZID=Europe/Zagreb:20211210T130000
DTSTAMP:20250325T164934Z
CREATED:20250325T164934Z
LAST-MODIFIED:20250325T164934Z
UID:2666-1639130400-1639141200@www.crossda.hr
SUMMARY:Predstavljanje arhiva CROSSDA u Zadru
DESCRIPTION:Predstavljanje Hrvatskog arhiva podataka za društvene znanosti (CROSSDA) održat će se 10. 12. 2021. od 10 – 13 sati na Sveučilištu u Zadru\, u zgradi Rektorata\, dvorana 2.3. \nPredstavljanje je zamišljeno kao razgovor s istraživačima o nekoliko tema. Ovo je okvirni program\, uz napomenu da želimo biti fleksibilni i prilagoditi se interesima publike \n10:00-11:00 sati \npronalaženje i korištenje postojećih istraživačkih podatakaupravljanje podacima u istraživanjima u području društvenih znanostiprocedure za pohranu podataka u arhivu CROSSDA \n11:00-11:30 pauza za kavu \n11:30-13:00 \nprepreke i poticaji za dijeljenje podatakatransparentnost istraživačkog procesaalati za postizanje transparentnosti \nMolimo da svoj dolazak prijavite na mglavica@ffzg.hr.
URL:https://www.crossda.hr/event/predstavljanje-arhiva-crossda-u-zadru/
CATEGORIES:CROSSDA
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Zagreb:20211210T100000
DTEND;TZID=Europe/Zagreb:20211210T130000
DTSTAMP:20250313T103626Z
CREATED:20250313T103626Z
LAST-MODIFIED:20250313T103626Z
UID:2368-1639130400-1639141200@www.crossda.hr
SUMMARY:Predstavljanje arhiva CROSSDA u Zadru
DESCRIPTION:Predstavljanje Hrvatskog arhiva podataka za društvene znanosti (CROSSDA) održat će se 10. 12. 2021. od 10 – 13 sati na Sveučilištu u Zadru\, u zgradi Rektorata\, dvorana 2.3. \nPredstavljanje je zamišljeno kao razgovor s istraživačima o nekoliko tema. Ovo je okvirni program\, uz napomenu da želimo biti fleksibilni i prilagoditi se interesima publike \n10:00-11:00 sati \npronalaženje i korištenje postojećih istraživačkih podatakaupravljanje podacima u istraživanjima u području društvenih znanostiprocedure za pohranu podataka u arhivu CROSSDA \n11:00-11:30 pauza za kavu \n11:30-13:00 \nprepreke i poticaji za dijeljenje podatakatransparentnost istraživačkog procesaalati za postizanje transparentnosti \nMolimo da svoj dolazak prijavite na mglavica@ffzg.hr.
URL:https://www.crossda.hr/event/predstavljanje-arhiva-crossda-u-zadru/
CATEGORIES:CROSSDA
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Zagreb:20211210T090000
DTEND;TZID=Europe/Zagreb:20211210T120000
DTSTAMP:20250313T105152Z
CREATED:20250313T105152Z
LAST-MODIFIED:20250313T105152Z
UID:2178-1639126800-1639137600@www.crossda.hr
SUMMARY:Predstavljanje arhiva CROSSDA u Zadru
DESCRIPTION:Predstavljanje Hrvatskog arhiva podataka za društvene znanosti (CROSSDA) održat će se 10. 12. 2021. od 10 – 13 sati na Sveučilištu u Zadru\, u zgradi Rektorata\, dvorana 2.3. \nPredstavljanje je zamišljeno kao razgovor s istraživačima o nekoliko tema. Ovo je okvirni program\, uz napomenu da želimo biti fleksibilni i prilagoditi se interesima publike \n10:00-11:00 sati \npronalaženje i korištenje postojećih istraživačkih podatakaupravljanje podacima u istraživanjima u području društvenih znanostiprocedure za pohranu podataka u arhivu CROSSDA \n11:00-11:30 pauza za kavu \n11:30-13:00 \nprepreke i poticaji za dijeljenje podatakatransparentnost istraživačkog procesaalati za postizanje transparentnosti \nMolimo da svoj dolazak prijavite na mglavica@ffzg.hr.
URL:https://www.crossda.hr/event/predstavljanje-arhiva-crossda-u-zadru/
CATEGORIES:CROSSDA
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Zagreb:20211208T110000
DTEND;TZID=Europe/Zagreb:20211208T123000
DTSTAMP:20250408T124240Z
CREATED:20250408T124240Z
LAST-MODIFIED:20250408T124240Z
UID:2899-1638961200-1638966600@www.crossda.hr
SUMMARY:Data in the spotlight: International time series databanks
DESCRIPTION:This free 90-minute online workshop will introduce you to the international time series data held by the UK Data Service\, we’ll look at the range of socio-economic topics covered\, explore some key datasets like the World Development Indicators and the IEA Renewable Energy Statistics\, and cover how to access and download the data. \nAre you wanting to understand how the world works? Have an interest in climate science\, economy\, trade\, demographics\, health or international development? Want to know about and how to access data from the IMF\, World Bank\, IEA\, UN or OECD? \nThe workshop will consist of 30 minutes of presentations\, 40 minutes of hands-on practical\, and time at the end for questions. \nPresenter: David Rawnsley.Level: Introductory.Experience/knowledge required: Some spreadsheet knowledge would be useful.Target audience: Anyone interested in knowing more about the UK population.
URL:https://www.crossda.hr/event/data-in-the-spotlight-international-time-series-databanks/
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Zagreb:20211208T110000
DTEND;TZID=Europe/Zagreb:20211208T123000
DTSTAMP:20250325T164934Z
CREATED:20250325T164934Z
LAST-MODIFIED:20250325T164934Z
UID:2668-1638961200-1638966600@www.crossda.hr
SUMMARY:Data in the spotlight: International time series databanks
DESCRIPTION:This free 90-minute online workshop will introduce you to the international time series data held by the UK Data Service\, we’ll look at the range of socio-economic topics covered\, explore some key datasets like the World Development Indicators and the IEA Renewable Energy Statistics\, and cover how to access and download the data. \nAre you wanting to understand how the world works? Have an interest in climate science\, economy\, trade\, demographics\, health or international development? Want to know about and how to access data from the IMF\, World Bank\, IEA\, UN or OECD? \nThe workshop will consist of 30 minutes of presentations\, 40 minutes of hands-on practical\, and time at the end for questions. \nPresenter: David Rawnsley.Level: Introductory.Experience/knowledge required: Some spreadsheet knowledge would be useful.Target audience: Anyone interested in knowing more about the UK population.
URL:https://www.crossda.hr/event/data-in-the-spotlight-international-time-series-databanks/
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Zagreb:20211208T110000
DTEND;TZID=Europe/Zagreb:20211208T123000
DTSTAMP:20250313T103626Z
CREATED:20250313T103626Z
LAST-MODIFIED:20250313T103626Z
UID:2370-1638961200-1638966600@www.crossda.hr
SUMMARY:Data in the spotlight: International time series databanks
DESCRIPTION:This free 90-minute online workshop will introduce you to the international time series data held by the UK Data Service\, we’ll look at the range of socio-economic topics covered\, explore some key datasets like the World Development Indicators and the IEA Renewable Energy Statistics\, and cover how to access and download the data. \nAre you wanting to understand how the world works? Have an interest in climate science\, economy\, trade\, demographics\, health or international development? Want to know about and how to access data from the IMF\, World Bank\, IEA\, UN or OECD? \nThe workshop will consist of 30 minutes of presentations\, 40 minutes of hands-on practical\, and time at the end for questions. \nPresenter: David Rawnsley.Level: Introductory.Experience/knowledge required: Some spreadsheet knowledge would be useful.Target audience: Anyone interested in knowing more about the UK population.
URL:https://www.crossda.hr/event/data-in-the-spotlight-international-time-series-databanks/
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Zagreb:20211208T100000
DTEND;TZID=Europe/Zagreb:20211208T123000
DTSTAMP:20250408T124440Z
CREATED:20250313T105154Z
LAST-MODIFIED:20250408T124440Z
UID:2183-1638957600-1638966600@www.crossda.hr
SUMMARY:Data Description and Metadata – What it takes to produce a good one?
DESCRIPTION:Finding relevant research data is tremendously easier if the data are described in detail using controlled vocabularies and discipline-specific metadata. But this is still not enough. Data descriptions should be descriptions of data\, scope\, collection methods and use\, not published research outputs and results. This skill is important for anyone describing research data in repository services\, libraries\, or research-producing organisations. \nIn this webinar\, experts from the Finnish Social Sciences Data Archive and Danish National Archive\, both service providers for CESSDA\, will explain how data are processed and described and what ingredients are needed from a researcher to produce rich metadata describing datasets. In addition\, the tools supported by CESSDA for metadata production are presented. Participants will gain a clear understanding of what the elements of a good data description are and how it makes the research data better discoverable. \nThe focus of this webinar is on data curators who produce descriptive\, provenience\, or technical metadata\, but also on researchers who are often asked to produce at least entry-level metadata regarding their datasets for self-archiving or before depositing to a data archive. Content is relevant to anyone who describes data in archives\, libraries\, or research-producing organisations. \nProgramme outline \nIntroductionCESSDA and its services related to data description and metadata production and useWhat is a data description and how to produce a good one?Describing data in practice: FSD and DNA as case examplesMetadata in use: harvesting\, reuse\, licensingDiscussion and Q & A
URL:https://www.crossda.hr/event/data-description-and-metadata-what-it-takes-to-produce-a-good-one/
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Zagreb:20211208T100000
DTEND;TZID=Europe/Zagreb:20211208T113000
DTSTAMP:20250313T105153Z
CREATED:20250313T105153Z
LAST-MODIFIED:20250313T105153Z
UID:2180-1638957600-1638963000@www.crossda.hr
SUMMARY:Data in the spotlight: International time series databanks
DESCRIPTION:This free 90-minute online workshop will introduce you to the international time series data held by the UK Data Service\, we’ll look at the range of socio-economic topics covered\, explore some key datasets like the World Development Indicators and the IEA Renewable Energy Statistics\, and cover how to access and download the data. \nAre you wanting to understand how the world works? Have an interest in climate science\, economy\, trade\, demographics\, health or international development? Want to know about and how to access data from the IMF\, World Bank\, IEA\, UN or OECD? \nThe workshop will consist of 30 minutes of presentations\, 40 minutes of hands-on practical\, and time at the end for questions. \nPresenter: David Rawnsley.Level: Introductory.Experience/knowledge required: Some spreadsheet knowledge would be useful.Target audience: Anyone interested in knowing more about the UK population.
URL:https://www.crossda.hr/event/data-in-the-spotlight-international-time-series-databanks/
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Zagreb:20211130T110000
DTEND;TZID=Europe/Zagreb:20211130T123000
DTSTAMP:20250408T124440Z
CREATED:20250313T105154Z
LAST-MODIFIED:20250408T124440Z
UID:2181-1638270000-1638275400@www.crossda.hr
SUMMARY:Data in the spotlight: Longitudinal data
DESCRIPTION:This online workshop will present an overview of the longitudinal studies available via the UK Data Service\, the key features of longitudinal surveys and the policy relevance (impact) of the information they contain\, how to access the data\, undertake exploratory online analysis and get further help. \nDid you know that longitudinal data from major social studies such as the British Birth Cohort Studies\, Understanding Society and the English Longitudinal Study of Ageing can be accessed for research? \nThe longitudinal studies are extremely rich data sources for high impact and policy relevant research. The British Birth Cohort Studies (e.g. the National Child Development Study 1958 and The Millennium Cohort Study) follow the same group of children born in a specific year throughout their lives\, tracking changes and unravelling the reasons behind them. Understanding Society is an innovative and world-leading study about live and its changes in the UK in the 21st century. The real world impact of these studies continues to be substantial. Additionally\, the Covid-19 pandemic has created a defining moment for longitudinal research. \nLongitudinal studies provide a unique opportunity to track both short and long term effects of the pandemic\, alongside invaluable pre-pandemic measures of health and behaviour. Many longitudinal studies have added Covid-19 specific datasets and we will explore what some of these cover. \nMost of the studies can be downloaded after a short registration. Subsamples of some of these datasets are also available for teaching purposes. \nThis free 90-minute online workshop will consist of a 30-minute presentation\, followed by 20 minutes for questions\, and an optional 40-minute hands-on practical. The presentation and hands-on are separate parts of the workshop and attending the hands-on is optional. \nThe workshop will include: \nan overview of the longitudinal studies available via the UK Data Servicea tour on how to navigate our new website to search for longitudinal studiesquiz and participant interactionupdates and findings from Covid-19 datasetsthe key features of longitudinal surveys and the policy relevance (impact) of the information they containhow to access the data\, undertake exploratory online analysis and get further help. \nPresenters: Beate Lichtwardt and James Rayner.Level: Introductory.Experience/knowledge required: None.Target audience: Researchers/anyone interested in longitudinal data.
URL:https://www.crossda.hr/event/data-in-the-spotlight-longitudinal-data/
END:VEVENT
END:VCALENDAR