CROSSDA

Per Rspera ad astra: Priprema podataka pomoću programskog jezika R
2021-06-21 11:00 - 14:00 (Europe/Zagreb) | Online via Zoom

Open forum: Challenges of sharing data linked to publications
2021-06-30 13:00
The forum will serve as a place for presenting findings from the Journals Outreach activities (CESSDA Work Plan 2020), for engaging with a panel of journal editors, publishers, researchers and data archives to discuss the challenges of data sharing from different perspectives and highlight good practices for working together to find solutions as part of the CESSDA Agenda 2021-22.
We welcome participation and input from researchers, scientific publishers, journal editors and representatives of data archives for a lively debate.

Data in the spotlight: Census and population studies
2021-11-18 10:00 - 11:30
This free 90-minute online workshop will introduce you to the UK Census, the data held by the UK Data Service, and how to use the web interfaces to access the data. There will also be up to date information on the progress of the 2021 Census for England, Wales and Northern Ireland, and the 2022 Census for Scotland.
Do you want to know more about the best resource for population studies in the UK? Do you want to understand how the UK census works and how to access the data within it?
The workshop will consist of 30 minutes of presentations, 40 minutes of hands-on practical, and time at the end for questions.
Presenter: David Rawnsley.Level: Introductory.Experience/knowledge required: Some spreadsheet knowledge would be useful.Target audience: Anyone interested in knowing more about the UK population.

Online workshop: Using the statistical language R as a Geographic Information System
2021-11-23 09:00 - 12:00
This event is a hands-on workshop on Geographic Information Systems for social scientists with some experience in R.
Geospatial data have become an emerging topic in social science research. When we aim to use these data in our study, we have to rely on a set of analytical skills facilitated by the exploitation of Geographic Information Systems (GIS). We also have to be aware of changes in our data management workflows, originating in issues concerning data privacy and new data types. Meanwhile, GIS is a collection of tools to visualize, process, and analyze geospatial data. Yet, using GIS can get intimidating since we often have to rely on foreign software solutions to achieve our geospatial data processing goals. The good news is that we can also use the statistical software R as a proper GIS nowadays. Over the last years, the range of supported file formats in R was expanded. Most importantly, it became so much easier to wrangle complex geospatial data. In this course, participants will learn about using R as a GIS and applying some first geospatial methods. They will also learn about the most common data formats, import data, and process them for further analysis, and also creating maps and other features.
The program:09:00-09:30: Introduction: Data Management & Geospatial Data09:30-09:35: Exercise 1: R Warm up09:35-10:00: Data Processing & Spatial Linking10:00-10:30: Exercise 2: Geospatial Data Wrangling10:30-10:45: Break10:45-11:15: Easy Maps11:15-11:45: Exercise 3: Build your own map11:45-12:00: Closing, Q & A
Presenter: Dr Stefan Jünger, GESIS – Leibniz Institute for the Social Sciences.

Filozofski za 21. stoljeće u kontekstu EU projekata
2021-11-29 09:30 - 14:30
U ponedjeljak 29. studenoga 2021. na Filozofskom fakultetu održat će se manifestacija pod nazivom ”Filozofski za 21. stoljeće u kontekstu EU projekata”. Na manifestaciji će se predstaviti aktualni međunarodni projekti Filozofskog fakulteta. Cilj događanja je predstaviti doprinos međunarodnih projekata pozitivnim promjenama u znanstveno-nastavnom radu na Filozofskom fakultetu. Događanje se organizira u okviru Dana otvorenih vrata EU projekata, koje provodi Ministarstvo regionalnoga razvoja i fondova Europske unije Republike Hrvatske uz podršku Europske komisije. Događanje je podijeljeno na tri dijela: ”Studijski programi za 21. stoljeće” obuhvaća predstavljanje projekata usmjerenih na razvoj novih i unapređenje postojećih studijskih programa, koji su financirani iz ESF-a i programa Erasmus+”Sajam projekata” obuhvaća predstavljanje projekata koji su financirani iz ESF-a i ERDF-a te različitih programa (CEF, CSRP, DAAD i dr.) te pozitivna iskustva voditelja i njihovih suradnika”Znanost za 21. stoljeće” obuhvaća predstavljanje znanstvenih projekata financiranih iz EU fondova (ESF, ERDF) te projekte usmjerene na razvoj znanstvene infrastrukture financirane iz programa Horizon2020 Predstavljanja projekata bit će hibridnoga tipa te će se moći pratiti u Vijećnici Filozofskog fakulteta i u prijenosu uživo (live streaming): Studijski programi za 21. stoljećeZnanost za 21. stoljeće Program i više informacija o događanja možete saznati na poveznicama Program Filozofski za 21. stoljeće u kontekstu EU projekata i FFZG Facebook event. Sudjelovanje u događanju je besplatno te nije potrebna prethodna prijava. Sve će se aktivnosti održati uz poštivanje propisanih epidemioloških mjera.

Data in the spotlight: Longitudinal data
2021-11-30 11:00 - 12:30
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.
Did 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?
The 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.
Longitudinal 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.
Most of the studies can be downloaded after a short registration. Subsamples of some of these datasets are also available for teaching purposes.
This 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.
The workshop will include:
an 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.
Presenters: Beate Lichtwardt and James Rayner.Level: Introductory.Experience/knowledge required: None.Target audience: Researchers/anyone interested in longitudinal data.

Data Description and Metadata – What it takes to produce a good one?
2021-12-08 10:00 - 12:30
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.
In 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.
The 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.
Programme outline
IntroductionCESSDA 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

Persistent Identification of Instruments
2022-05-19 18:00
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.
This webinar is designed for instrument database providers, instrument manufacturers, research infrastructures, and researchers.

Introduction to copyright: Copyright and publishing
2022-05-20 11:00 - 12:30
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.
Copyright 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.
The 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.
Attendees 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.
This session links to the following areas of the Research Development Framework:
research planning and publishingpublishing and open access
There will be time at the end for questions and discussion.
Presenters: Hannah Pyman and Dr Hina Zahid
Level: IntroductoryExperience/knowledge required: NoneTarget audience: Researchers/anyone interested in copyright considerations in publishing and teaching
We 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.
This event is part of our UK Data Service introductory training series: Spring 2022.

Introduction to copyright: Copyright issues in secondary data use
2022-05-27 11:00 - 12:30
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.
This free 90-minute online workshop will cover the following issues:
Secondary 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.
By 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.
There will be time at the end for questions and discussion.
Presenter: Dr Hina Zahid
Level: IntroductoryExperience/knowledge required: NoneTarget audience: Researchers/anyone interested in creating, sharing and using data
We 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.
This event is part of our UK Data Service introductory training series: Spring 2022.

Data Spaces & Semantic Interoperability
2022-06-03 09:00 - 16:30
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.
A 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.
The 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.
This 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.

Mapping crime data in R: An Introduction to GIS and spatial data
2022-06-07 12:00 - 13:30
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!
This 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.
The 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.
More specifically, we will:
use 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.
We 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.
Presenter: Nadia Kennar, UK Data Service
Event Level: Beginner
Prerequisites: 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.
Target Audience: Researchers/anyone interested in crime and spatial data

Mapping crime data in R: Live code demonstration
2022-06-08 12:00 - 13:30
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!
This 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.
The 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.
More specifically, we will:
use 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.
Presenter: Nadia Kennar, UK Data Service
Event Level: Beginner
Prerequisites: 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.
Target Audience: Researchers/anyone interested in crime and spatial data

Webinar “Uloga časopisa u poticanju pristupa istraživačkim podacima”
2022-07-05 14:00 - 15:30
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.
Prijavite se na adresi: https://www.znak.hr/index.php/webinar
Dostupnost 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.
Hrvatske 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.
Kako 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.
Veselimo se zajedničkoj raspravi o ovim važnim temama.

Online workshop: Using the Geographical Information System QGIS for data analysis
2022-07-12 13:00 - 16:30
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.
For 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.
In 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.
Presenter: Dr Serafeim Alvanides, GESIS – Leibniz Institute for the Social Sciences
Program
13:00-13:30: 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

New Data Types in Data Management and Archiving
2022-09-15 14:00 - 16:30
Summary
New Data Types in Data Management and Archiving workshop will focus on the management, archiving and access to new types of data, i.e. administrative, transactional and social media data. The program will consist of four presentations tackling various issues related to handling the new types of data in data repositories and sharing these data in the community of social researchers. The speakers’ presentations will be followed by the panel discussion, where audience members are encouraged to participate and bring in their own experiences of archivists, data managers and researchers. The event is part of the CESSDA training activities.
Program:
14:00 – 14:20: “Current capacities among CESSDA SPs for handling new data types”, Martin Vávra (Czech Social Science Data Archive)
The talk will be focused on the current strengths and weaknesses of the CESSDA archives with regard to handling new types of data. The presentation relies on findings from a survey of CESSDA Service Providers carried in 2021, and brings forward information about the archives’ strategies for the handling of new data types, as well as their actual experience with the new types of data.
14:20 – 14:40: “Proposals for a More Coordinated Approach to Handling New Data Types Across CESSDA SPs”, Brian Kleiner (FORS)
This presentation will put forward several proposals for a range of activities that could be implemented within CESSDA to help SPs better coordinate and benefit from synergies with respect to handling new data types. The aim will be to stimulate discussion among SPs about how such proposals could be put into action in a realistic way, given limited resources.
14:40 – 15:00: “Social Media Data Sharing in Social Research”, Yevhen Voronin (GESIS)
The talk will present the results from an online survey of social scientists using social media data for their research and having published journal articles based on social media data between 2018 and 2021. The presentation will cover reasons why researchers do not share social media data and challenges while sharing (or considering to share) these data, and predictors of different intentions to share social media data.
15:00 – 15:20: “Social Science in the Embattled Digital Age: Adversarial Creation, Use and Sharing of New Data Types”, Pascal Jurgens (Johannes Gutenberg University Mainz)
This presentation will introduce a data scientist’s personal experiences regarding new data types – from data collection, self-archiving, analysis, and publishing across open data/open source and commercial projects, along with ethical implications. It will include ethical, legal, political and pragmatic perspectives regarding future challenges and opportunities for archives.
15:20 – 15:30: Break
15:30 – 16:20: The panel discussion

Ecological consumption and production
2022-09-21 14:00 - 15:30
A clean environment and sustainability are of fundamental importance for human health and well-being. Therefore, we are organizing a timely data discovery event on Ecological consumption and production. There will be a brief introduction of the organizing data archive (ČSDA) and some of the data it contains regarding the environment and sustainability in a broader sense but also data that can be found on this topic elsewhere. The introduction will be followed by two presentations that draw on the data that either is already publicly available or is expected to be shortly. After each presentation, there will be time for the questions from the audience. Especially researchers are encouraged to participate, but the event could be of interest to a wider audience. The event is part of the CESSDA training activities.
Program:
14:00 – 14:20: “Czech social science data archive as a gateway to data (not only) on ecological consumption and production”, Martin Vávra (Czech Social Science Data Archive)
The introductory presentation will introduce the Czech Social Science Data Archive (ČSDA) and available environmental data with an emphasis on ecological consumption and production.
14:20 – 15:00: “Sociological insights into the food gardening in the heart of Europe”, Jan Vávra
The presentation will focus on home gardening (labelled often also as food self-provisioning) in the context of modern society. The representative dataset based on the questionnaires filled by more than two thousands Czech respondents in 2015 will be introduced and some of already published research will be presented. This insight into the available data accompanied with a little bit of theory will illustrate which sociological, but also geographic, economic or environmental aspects could be researched and what questions about sustainability of contemporary food systems and the role of gardening within society researchers could ask.
Jan Vávra works in the Department of Local and Regional Studies of the Institute of Sociology of the Czech Academy of Sciences. He is an environmental sociologist nowadays mostly dealing with the social, health and environmental context of gardening as informal food production. Jan is co-chair of the Environmental and Rural Section of the Czech Sociological Society.
15:00 – 15:30: “Environmental behaviour of Czech households and individuals with a focus on food waste”, Radka Hanzlová
Food waste is a significant social, environmental, and economic problem that is often overlooked. At the same time, it is an issue that everyone can contribute to solving through their behaviour. In my presentation I would therefore like to look at the problem of food waste primarily in relation to the environment, focusing on individuals and households. What do people buy food on? Do people think about the environmental impact of the production of the food they buy and consume? Is the way people eat related to their environmental mind-set? What environmentally friendly activities do people do in their households? Do people buy organic food? These are not the only questions I will answer in my presentation. The results are based on data from the representative surveys “Food” carried out within the framework of the research programme of the AV21 Strategy – Food for the Future and “Our Society” carried out by the Public Opinion Research Centre.
Radka Hanzlová is a PhD student in Sociology at the Faculty of Arts of Charles University and works as a researcher at the Public Opinion Research Centre of the Institute of Sociology of the Czech Academy of Sciences, where she deals with the research topic “Food Waste as a Global and Local Problem”.

STATCHECK meetup
2022-09-27 13:00 - 18:00
Laboratorij za učenje i poučavanje Katedre za obrazovne znanosti Sveučilišta u Rijeci, Učiteljskog fakulteta organizira treći otvoreni online susret u formi meetup-a na kojem će sudionici razmijeniti iskustva o programima za provjeru statističkih podataka u znanstvenim radovima. Naglasak će biti na korištenju programa STATCHECK kao primjeru programa koji provjerava točnost i usklađenost statističkih podataka i parametara u izvještajima formatiranim prema pravilima APA uredničkog stila za tekstove u PDF, DOCX ili HTML formatu. Voditelj meetupa je Darko Lončarić uz asistenciju Aleksandre Smolić Batelić, a prezentaciju o mogućnostima navedene skupine programa održati će Matia Torbarina.
Vrijeme održavanja: utorak, 27. rujna 2022. u 13:00.
Mjesto održavanja: Online sa slobodnim pristupom
Više informacija: https://www.ufri.uniri.hr/hr/fakultet/ustrojfakulteta/katedre/katedra-za-obrazovne-znanosti/laboratorij-za-ucenje-i-poucavanje/vijesti-laboratorija.html

Train the Trainer: Anonymisation for data sharing in practice
2022-10-04 13:00 - 16:00
Summary
The goal of this event is to show trainers the tools they need to teach the fundamentals of data anonymisation and disclosure control in training sessions while also giving them hands-on experience with current open source technologies (sdcMicro).
Description
Over the past few years, there has been a noticeable growth in both the need for and the volume of data from surveys, registers, or other sources that hold information about individuals and/or institutions. At the same time, rules and privacy protection principles have placed regulations on who can access and use personal data. Therefore, application of statistical disclosure control measures (anonymisation) to the data prior to its release is required for proper and secure data sharing.
In the first part, Jan Dalsten Sørensen from the Danish National Archives (DNA) will guide you through our anonymisation process and the thoughts behind it. The DNA contains a large collection of data, collected from both scientific research and from the public administration. Of course, anonymisation is a great tool to utilise the great scientific potential in these data without compromising the integrity of the data subjects personal information. However, it is not always easy to handle in practice. In this part of the event you will learn more about how we work in a dialogue-based way with the staff involved in the anonymisation process.
Second part of the event will consist of two 45-minute sessions and a Q&A session afterward. In this part of the workshop the focus will shift towards available techniques and how to apply them using sdcMicro, a free, R-based open-source package.
Some of the concepts and techniques that will be presented include k-anonymity, top/bottom coding and aggregation with practical examples and recommendations on incorporating anonymisation into research designs.
The audience will be given access to the exercises and presentations that were utilised for future reuse.
Preliminary programme:
13:00 – 13:10 Welcome13:10 – 13:55 Anonymisation in practice at the Danish National Archives13:55 – 14:00 Break14:00 – 14:45 Basic concepts of anonymisation14:45 – 14:55 Break14:55 – 15:40 Working with sdcMicro15:40 – 16:00 Q&A
Registration form

How to Ensure Researchers Share Their FAIR Data: Practical Tips and Tools (Train-the-Trainer Workshop)
2022-10-27 10:00 - 15:30
Summary
Want to ensure researchers share their FAIR data? The Austrian Social Science Data Archive, the Czech Social Science Data Archive, and UK Data Service are jointly organising an interactive train-the-trainer event to empower professional practitioners and support staff in ensuring researchers make their data available for re-use.
Description
We invite you to join us on October 27th for our train-the-trainer event where we will be covering critical elements of data sharing and available tools and resources for supporting Open Science including:
Data Management PlanningConsent and Ethical considerationsLegislation and Licence frameworks
The workshop will consist of presentations, demos, a roundtable discussion on ethical considerations, and a showcase of licence frameworks at different European archives fostering an exchange of experiences focused on learnt lessons. We will be facilitating group and individual exercises with all worksheets to be made available for reuse in your own events.
Registration form

DARIAH Innovation Forum #2 in Dublin: Bringing Together DARIAH and the Industries
2022-11-04 11:30 - 21:00
The second DARIAH Innovation Forum will take place on 3 November, from 9:30 to 19:00 GMT in Dublin, Ireland (hybrid event).
During this packed 1-day event panel presentations, a keynote and an innovation challenge will highlight DARIAH’s relations with traditional and digital industries.Scope The 2022 Innovation Forum will focus on the question of how a research infrastructure such as DARIAH can play a greater role in facilitating the arts and humanities to have groundbreaking impact on technological development, creating truly human-centred innovation and policy, and an ethical and engaging marketplace for culture. Innovation Challenge The results of the Arts and Humanities Innovation Challenge will be shared. It’s an open competition for experts in the arts and humanities. Submit your solutions to a culturally embedded, but ultimately economically relevant, ‘wicked’ problem. Deadline: 17 October!
The event is free but registration is required.

Journal and Data Archive Collaboration Forum
2022-11-08 14:00 - 16:30
Summary
The availability of research data underlying articles published in journals is becoming a common practice in scientific communication. The European Commission and other funders of scientific research have set high expectations for scientists towards openness and availability of scientific work and results. Scientific publishers, through journals and scholarly publications are the main point of realising open science in practice.
Description
This event is part of the continuous Journals Outreach initiative (https://www.cessda.eu/Training/Journals-outreach), bringing together CESSDA service providers (SPs) with Social Science & Humanities Journals. The target audience is publishers, editors and researchers interested in CESSDA coordinated data services for journals. The event will also be an opportunity for publishers/journals to highlight new initiatives in research data services linked to scientific publications.
Registration form
Programme
14:00-14:20 Activities of the CESSDA Journals Outreach group; Profiles of CESSDA Service Providers related to accepting data linked to journals / Serafeim Alvanides
Moderator: Brian Kleiner14:20-14:40 Data showcases: the data journal in a multimodal world / Peter Doorn, Leen Breure
14:40-15:00 An Introduction to Open Research Europe, focusing on Humanities and Social Sciences (HSS) / Ruth Fisher
15:00-15:10 Break
Moderator: Marijana Glavica
15:10-15:30 FAIRsharing: An ecosystem of research standards and databases for enabling FAIR data / Allyson Lister
15:30-15:50 The Research Data Journal: objectives and processess / Ulbe Bosma
15:50-16:10 The CURE (Curation for Reproducibility) Consortium / Limor Peer
Moderator: Janez Strebe
16:10-16:30 General discussion

How to become a computational social scientist
2022-11-22 11:00 - 18:00
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).
While 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.
This 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.
The 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.
Presenters: Dr J. Kasmire
Kitchen, R. (2014). Big Data, new epistemologies and paradigm shifts. Big Data & Society, https://doi.org/10.1177/2053951714528481.
Level: 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
We 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.
This event is part of our UK Data Service introductory training series: Autumn 2022.

GESIS Meet the experts: “Linking surveys with electoral integrity assessments to explain political trust”
2022-12-08 13:00 - 18:00
This talk presents a linking approach that combines expert assessments on electoral integrity with survey data to study how electoral integrity affects the way in which election results translate into citizen attitudes towards the political system. It introduces a causal mechanism that links political losing to political trust via evaluations of electoral fairness: citizens who voted for the losing camp are more likely to view the electoral process as unfair than citizens who voted for the winning camp, resulting in political distrust. It further suggests that the effects of political losing depend on the level of electoral integrity. In conditions where elections are conducted in a free and fair manner, even those who voted for the losing camp have little reason to suspect foul play. Whenever there are actual indications of electoral malpractice, however, political losers have much more reason to doubt the integrity of the electoral process than those who are content with the election outcome. The analysis makes use of a unique dataset that ex-post harmonizes survey data from three cross-national survey projects (Asian Barometer Survey, European Social Survey, Latinobarómetro) and links this survey data with expert assessments of electoral integrity provided by the Varieties-of-Democracy (V-Dem) project to cover 45 democracies in Europe, East Asia, and Latin America. The talk details how respondents (in the survey data) were matched to elections (in the V-Dem data) and discusses challenges arising from survey fieldwork periods not being aligned with election cycles.
Speaker:
Dr. Marlene Mauk

1st ISSP User Conference “Social Inequality”
2022-12-12 12:30 - 18:00
Since 1986, the ISSP has provided high-quality data on attitudes and behaviors on important societal issues such as family, health, work, religion, the role of government, social inequality, the environment, national identity and citizenship, social networks, or leisure and sports.
The newly launched ISSP User Conference Series is designed to provide a platform for the various global research activities based on cross-national ISSP data. It aims to stimulate exchanges between individual researchers, to expand the ISSP research community, to increase the ISSP’s visibility and to inform the global policy discussions on important societal issues.
The ISSP User Conference will be held once a year and will focus on a different main theme each year, starting with Social Inequality in 2022.

Reproducibility and confidential or proprietary data: can it be done?
2022-12-13 18:15
CRRESS invites you to join our December webinar “Reproducibility and confidential or proprietary data: can it be done?“. Paulo Guimarães (Banco de Portugal, BPLIM), John Horton (MIT), Lars Vilhuber (Cornell University) compose the panel. Aleksandr Michuda (Cornell University) will moderate the session.
The fourth panel of CRRESS, The Conference on Reproducibility and Replicability in Economics and the Social Sciences, will be held on December 13, 2022. Exceptionally, we begin at 12:15 PM Eastern Time, earlier than other series sessions.
Register to join the session on Zoom.
What happens to reproducibility when data are confidential or proprietary? Many journals can only ask that detailed access procedures be provided in a ReadMe file, but what mechanisms could be used to conduct computational reproducibility checks on such data? Should authors temporarily share their data with the journal for the purposes of reproducibility verification, even if they are not part of the public data replication package? Is it feasible to use a network of “insiders” to run code provided as part of a data replication package to assess reproducibility? Could a “certified run” be used?
The Conference on Reproducibility and Replicability in Economics and the Social Sciences (CRRESS) is a monthly series of virtual and in-person panels on the topics of reproducibility, replicability, and transparency in the social sciences. Each month, a panel of experts will discuss a particular topic with relevance to the overall theme of reproducibility and transparency. We invite anyone with an interest in social science research to attend.
CRRESS is led by Lars Vilhuber and Aleksandr Michuda, Cornell University, who organize the panels together with Ian Schmutte (UGA) and Marie Connolly (UQAM). Funding by the National Science Foundation is gratefully acknowledged. Participation is free, but registration is required. Learn more at https://labordynamicsinstitute.github.io/crress/.

Teaching with census data
2023-01-17 11:00 - 18:00
Census 2021 will provide demographic, employment, housing and other characteristics about local populations at neighbourhood level. This free workshop is designed to enable those teaching undergraduate students to use this local material to explore substantive questions related to their discipline. The aims of the workshop are to enable participants to be able to:
Appreciate the geography of local areas and the data that is provided from the census.Be able to access, prepare and present census data.Develop appropriate exercises for students to engage in practical exploration, analysis and reporting on substantive topics of interest.
The workshop will use Microsoft Excel software and provide supporting materials to enable students to develop basic skills in data analysis and reporting the results in charts and tables.
The workshop will also outline more advanced techniques to combine other neighbourhood-based information and prepare materials to combine with GIS software to produce maps.
Presenter: Nigel de Noronha, UK Data Service (University of Manchester)

Safe Researcher Training
2023-01-19 11:00 - 18:00
This Safe Researcher Training (SRT) course is intended for researchers who will be, or are in the process of, applying for access to controlled data in the UK Data Service Secure Lab. It is also suitable for researchers who will be accessing controlled data in other secure environments, such as the ONS Secure Research Service or HMRC Datalab, where the requirements of access mandate attendance on a Safe Researcher Training course. It is not suitable for inexperienced researchers whose project applications are unlikely to be approved, such as undergraduates applying for dissertation projects.
Researchers who are applying for Accredited Researcher (AR) status to access data through legal gateways, such as the Digital Economy Act (DEA), must attend and pass this course before they can be awarded AR status.
This course covers:
Data security and personal responsibility, including legal and procedural breaches and penalties, and the ‘5 Safes’ security model.Statistical Disclosure Control – how to make statistical outputs safe for release and the principles employed.Using the Secure Lab – how to use the environment efficiently and effectively (includes preparation of data imports and statistical outputs).
Researchers who attend the course will be sent a link after the training to complete an online assessment. Access to Secure Lab will only be granted to researchers who successfully pass the assessment and complete the rest of the application process.
To request to attend this session, please contact secure.training@ukdataservice.ac.uk. When submitting your request, please specify in the email if you currently fall into one or more of the below categories:
Applying for AR status through the ONS Research Accreditation Service.Applying, or preparing an application, to access controlled data in the UK Data Service Secure Lab.Applying to access controlled data in the ONS Secure Research Service.Applying to access controlled data in the HMRC Datalab.Applying to access controlled data through Administrative Data Research UK (ADR-UK).
We will be verifying the information you provide with the relevant service(s). If you do not fall into the above categories, you can still request a place but this will be chargeable.

Pohrana i objava istraživačkih podataka u arhivu CROSSDA – radionica u okviru projekta COORDINATE za zaposlenike Instituta Ivo Pilar
2023-02-08 11:00 - 12:00
U okviru projekta COORDINATE, koji vodi Manchester Metropolitan University i u kojem sudjeluju Institut Ivo Pilar (voditelj Toni Babarović) i CROSSDA – Hrvatski arhiv podataka za društvene znanosti / Filozofski fakultet u Zagrebu (voditeljica Marijana Glavica), organiziramo radionicu o pohrani i objavi podataka u arhivu CROSSDA. Jedan od zadataka unutar projekta je identificirati te u arhiv CROSSDA pokušati pohraniti skupove istraživačkih podataka relevantnih za temu projekta COORDINATE – podataka koji se tiču dobrobiti djece i mladih.

Radionica je namijenjena primarno voditeljima i suradnicima kvantitativnih istraživanja koji su tijekom svibnja i lipnja 2022. dostavili podatke za projekte prepoznate kao relevantne i adekvatne za potencijalno arhiviranje, ali na radionicu su pozvani i svi drugi zaposlenici Instituta, istraživači u području društvenih znanosti, zainteresirani za usluge arhiva CROSSDA.

Cilj radionice je upoznati istraživače s procedurama pohrane i objave podataka u arhivu CROSSDA te ih motivirati na pohranu podataka.

Objasnit ćemo osnovne preduvjete za pohranu: prikupljanje dokumentacije, čišćenje podataka te osiguravanje potrebne razine anonimizacije.

Demonstrirat ćemo sustav za objavu podataka data.crossda.hr i proći kroz metapodatke koje je potrebno unijeti.

Objasnit ćemo standardne licence koje se koriste pri objavi podataka: otvoreni pristup i pristup ograničen samo za znanstvene svrhe te u svrhu podučavanja.

Dotaknut ćemo se pravnih (GDPR, autorska prava) i etičkih pitanja.

Razgovarat ćemo o nedoumicama i preprekama koje se mogu pojaviti prilikom pohrane i objave podataka.

4th Symposium on Big Data and Research Syntheses in Psychology with a special focus on Machine Learning & Open Science
2023-05-08 00:00 - 2023-05-10 23:59
You are invited to participate in the 4th symposium on big data and research syntheses in psychology to be held in Frankfurt am Main, Germany (May 8–10, 2023).We are pleased to collaborate with Europe’s Journal of Psychology (EJOP):Selected contributions from the symposium will be invited for full-text submission to a special thematic section of EJOP!The 2023 edition builds on the success of our prior events:
Research Synthesis and Big Data in Psychology, May 17-21, 2021, online
Research Synthesis incl. Pre-Conference Symposium: Big Data in Psychology, May 27-31, 2019, Dubrovnik, Croatia
Twin Conference Research Synthesis / Big Data in Psychology 2018, June 7-9, 2018, Trier, Germany
The symposium will address the question:Psychological research in times of big data: How can machine learning and open science help to cope with the information overload?What big data and research syntheses have in common is the challenge of dealing with large, novel, and ever-growing amounts of data in psychology. On the one hand, data from social media, as well as sensor data, are of growing interest in psychology. On the other hand, science is producing more publications and at a higher rate, making it increasingly difficult to keep track of the current state of knowledge.In recent years, machine learning has become a key tool to address these challenges. Methodological advancements along with freely available software, as well as advances in data storage and computational capacities, make it possible to deal with data of large volume, velocity, and variety. There are also promising applications for summarizing scientific evidence, for example, through automation in screening a large and dynamically growing body of literature.At the same time, open science plays an important role: On the one hand, to create more efficient workflows by sharing data, methodological documentation, technical tools and analysis scripts within science. Especially when applying machine learning methods, transparent documentation and provision of the analysis code are indispensable for their reproducibility. On the other hand, to make scientific evidence accessible and usable by communicating it to the outside world in a way that is understandable to laypersons. The symposium is scheduled to take place in Frankfurt am Main, Germany, in May 2023 and will last three days. On the first day, introductions to open science and machine learning will provide the basics to the audience. The second day addresses different applications of machine learning, with a focus on the areas of sensor data and social media, as well as automation of research syntheses. Finally, the third day is devoted to the importance and purposeful practices of open science: To improve workflows within science and make findings more available and understandable to the world beyond academia.
