BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//CROSSDA - ECPv6.17.4.1//NONSGML v1.0//EN
CALSCALE:GREGORIAN
METHOD:PUBLISH
X-WR-CALNAME:CROSSDA
X-ORIGINAL-URL:https://www.crossda.hr
X-WR-CALDESC:Događaji za CROSSDA
REFRESH-INTERVAL;VALUE=DURATION:PT1H
X-Robots-Tag:noindex
X-PUBLISHED-TTL:PT1H
BEGIN:VTIMEZONE
TZID:Europe/Zagreb
BEGIN:DAYLIGHT
TZOFFSETFROM:+0100
TZOFFSETTO:+0200
TZNAME:CEST
DTSTART:20210328T010000
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:+0200
TZOFFSETTO:+0100
TZNAME:CET
DTSTART:20211031T010000
END:STANDARD
BEGIN:DAYLIGHT
TZOFFSETFROM:+0100
TZOFFSETTO:+0200
TZNAME:CEST
DTSTART:20220327T010000
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:+0200
TZOFFSETTO:+0100
TZNAME:CET
DTSTART:20221030T010000
END:STANDARD
BEGIN:DAYLIGHT
TZOFFSETFROM:+0100
TZOFFSETTO:+0200
TZNAME:CEST
DTSTART:20230326T010000
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:+0200
TZOFFSETTO:+0100
TZNAME:CET
DTSTART:20231029T010000
END:STANDARD
END:VTIMEZONE
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: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: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: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: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: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: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: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: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: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: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: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: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: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: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: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: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: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:20220429T110000
DTEND;TZID=Europe/Zagreb:20220429T180000
DTSTAMP:20250408T123838Z
CREATED:20250408T123838Z
LAST-MODIFIED:20250408T123838Z
UID:2887-1651230000-1651255200@www.crossda.hr
SUMMARY:Data management basics: Ethical and legal issues in data sharing
DESCRIPTION:Data management is essential to make sure that well-organised\, well-documented\, high quality and shareable research data can be produced from our research projects. In this free 90-minute online workshop\, participants will learn about the relevant legislation\, such as data protection legislation and the General Data Protection Regulation (GDPR). Participants will also learn about strategies that enable them to share research data. This includes carrying out an assessment of disclosure risk\, obtaining informed consent\, anonymising data and regulating access to enable data to be shared. \nThe introductory workshops on Data Management Basics are intended for researchers and anyone who wants to learn about research data management. The first session: ‘Introduction to data management and sharing’\, provides an overview of how to manage\, document and store research data. This second session focuses on the ethical and legal aspects of data management. \nResearchers obtaining data from people are expected to maintain high ethical standards and comply with the relevant legislation. Much research data – even sensitive data – can be shared ethically and legally. \nThere will be time at the end for questions and discussion. \nPresenter: Dr Hina Zahid \nLevel: Introductory \nExperience/knowledge required: None \nTarget audience: Researchers/anyone interested in data management \nWe will be using Mentimeter to ask questions in this workshop so you may benefit from having a second device ready for this\, such as a smartphone.
URL:https://www.crossda.hr/event/data-management-basics-ethical-and-legal-issues-in-data-sharing/
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Zagreb:20220429T110000
DTEND;TZID=Europe/Zagreb:20220429T110000
DTSTAMP:20250325T164904Z
CREATED:20250325T164904Z
LAST-MODIFIED:20250325T164904Z
UID:2661-1651230000-1651230000@www.crossda.hr
SUMMARY:Data management basics: Ethical and legal issues in data sharing
DESCRIPTION:Data management is essential to make sure that well-organised\, well-documented\, high quality and shareable research data can be produced from our research projects. In this free 90-minute online workshop\, participants will learn about the relevant legislation\, such as data protection legislation and the General Data Protection Regulation (GDPR). Participants will also learn about strategies that enable them to share research data. This includes carrying out an assessment of disclosure risk\, obtaining informed consent\, anonymising data and regulating access to enable data to be shared. \nThe introductory workshops on Data Management Basics are intended for researchers and anyone who wants to learn about research data management. The first session: ‘Introduction to data management and sharing’\, provides an overview of how to manage\, document and store research data. This second session focuses on the ethical and legal aspects of data management. \nResearchers obtaining data from people are expected to maintain high ethical standards and comply with the relevant legislation. Much research data – even sensitive data – can be shared ethically and legally. \nThere will be time at the end for questions and discussion. \nPresenter: Dr Hina Zahid \nLevel: Introductory \nExperience/knowledge required: None \nTarget audience: Researchers/anyone interested in data management \nWe will be using Mentimeter to ask questions in this workshop so you may benefit from having a second device ready for this\, such as a smartphone.
URL:https://www.crossda.hr/event/data-management-basics-ethical-and-legal-issues-in-data-sharing/
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Zagreb:20220429T110000
DTEND;TZID=Europe/Zagreb:20220429T110000
DTSTAMP:20250313T103425Z
CREATED:20250313T103425Z
LAST-MODIFIED:20250313T103425Z
UID:2358-1651230000-1651230000@www.crossda.hr
SUMMARY:Data management basics: Ethical and legal issues in data sharing
DESCRIPTION:Data management is essential to make sure that well-organised\, well-documented\, high quality and shareable research data can be produced from our research projects. In this free 90-minute online workshop\, participants will learn about the relevant legislation\, such as data protection legislation and the General Data Protection Regulation (GDPR). Participants will also learn about strategies that enable them to share research data. This includes carrying out an assessment of disclosure risk\, obtaining informed consent\, anonymising data and regulating access to enable data to be shared. \nThe introductory workshops on Data Management Basics are intended for researchers and anyone who wants to learn about research data management. The first session: ‘Introduction to data management and sharing’\, provides an overview of how to manage\, document and store research data. This second session focuses on the ethical and legal aspects of data management. \nResearchers obtaining data from people are expected to maintain high ethical standards and comply with the relevant legislation. Much research data – even sensitive data – can be shared ethically and legally. \nThere will be time at the end for questions and discussion. \nPresenter: Dr Hina Zahid \nLevel: Introductory \nExperience/knowledge required: None \nTarget audience: Researchers/anyone interested in data management \nWe will be using Mentimeter to ask questions in this workshop so you may benefit from having a second device ready for this\, such as a smartphone.
URL:https://www.crossda.hr/event/data-management-basics-ethical-and-legal-issues-in-data-sharing/
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Zagreb:20220429T100000
DTEND;TZID=Europe/Zagreb:20220429T100000
DTSTAMP:20250313T105146Z
CREATED:20250313T105146Z
LAST-MODIFIED:20250313T105146Z
UID:2168-1651226400-1651226400@www.crossda.hr
SUMMARY:Data management basics: Ethical and legal issues in data sharing
DESCRIPTION:Data management is essential to make sure that well-organised\, well-documented\, high quality and shareable research data can be produced from our research projects. In this free 90-minute online workshop\, participants will learn about the relevant legislation\, such as data protection legislation and the General Data Protection Regulation (GDPR). Participants will also learn about strategies that enable them to share research data. This includes carrying out an assessment of disclosure risk\, obtaining informed consent\, anonymising data and regulating access to enable data to be shared. \nThe introductory workshops on Data Management Basics are intended for researchers and anyone who wants to learn about research data management. The first session: ‘Introduction to data management and sharing’\, provides an overview of how to manage\, document and store research data. This second session focuses on the ethical and legal aspects of data management. \nResearchers obtaining data from people are expected to maintain high ethical standards and comply with the relevant legislation. Much research data – even sensitive data – can be shared ethically and legally. \nThere will be time at the end for questions and discussion. \nPresenter: Dr Hina Zahid \nLevel: Introductory \nExperience/knowledge required: None \nTarget audience: Researchers/anyone interested in data management \nWe will be using Mentimeter to ask questions in this workshop so you may benefit from having a second device ready for this\, such as a smartphone.
URL:https://www.crossda.hr/event/data-management-basics-ethical-and-legal-issues-in-data-sharing/
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Zagreb:20220428T120000
DTEND;TZID=Europe/Zagreb:20220428T180000
DTSTAMP:20250408T123838Z
CREATED:20250408T123838Z
LAST-MODIFIED:20250408T123838Z
UID:2888-1651147200-1651168800@www.crossda.hr
SUMMARY:Data management basics: Introduction to data management and sharing
DESCRIPTION:Data management is essential to make sure that well-organised\, well-documented\, high quality and shareable research data can be produced from our research projects. In this free session we will discuss key essential processes: Writing a data management plan for research grants; documenting your data appropriately and effectively; formatting and organising your data; and storing your data\, including data transfer\, encryption\, and file sharing. \nThe introductory workshops on Data Management Basics are intended for researchers and anyone who wants to learn about research data management. This workshop is part of a series of two workshops focusing on the basics of data management. This first workshop provides an overview of how to manage\, document\, store and safeguard research data well and how to plan and implement good data management in research projects\, with a focus on optimising data sharing. The second workshop will focus on the ethical and legal aspects of data management. \nThis 90 minute workshop will consist of a 45 minute presentation\, followed by a 30 minute practical element and finishing with 15 minutes for questions and discussion. \nPresenter: Anca Vlad \nLevel: Introductory \nExperience/knowledge required: Basic methods of qualitative or quantitative data research \nTarget audience: Researchers/anyone interested in data management
URL:https://www.crossda.hr/event/data-management-basics-introduction-to-data-management-and-sharing/
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Zagreb:20220428T120000
DTEND;TZID=Europe/Zagreb:20220428T120000
DTSTAMP:20250325T164904Z
CREATED:20250325T164904Z
LAST-MODIFIED:20250325T164904Z
UID:2662-1651147200-1651147200@www.crossda.hr
SUMMARY:Data management basics: Introduction to data management and sharing
DESCRIPTION:Data management is essential to make sure that well-organised\, well-documented\, high quality and shareable research data can be produced from our research projects. In this free session we will discuss key essential processes: Writing a data management plan for research grants; documenting your data appropriately and effectively; formatting and organising your data; and storing your data\, including data transfer\, encryption\, and file sharing. \nThe introductory workshops on Data Management Basics are intended for researchers and anyone who wants to learn about research data management. This workshop is part of a series of two workshops focusing on the basics of data management. This first workshop provides an overview of how to manage\, document\, store and safeguard research data well and how to plan and implement good data management in research projects\, with a focus on optimising data sharing. The second workshop will focus on the ethical and legal aspects of data management. \nThis 90 minute workshop will consist of a 45 minute presentation\, followed by a 30 minute practical element and finishing with 15 minutes for questions and discussion. \nPresenter: Anca Vlad \nLevel: Introductory \nExperience/knowledge required: Basic methods of qualitative or quantitative data research \nTarget audience: Researchers/anyone interested in data management
URL:https://www.crossda.hr/event/data-management-basics-introduction-to-data-management-and-sharing/
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Zagreb:20220428T120000
DTEND;TZID=Europe/Zagreb: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
END:VCALENDAR