CROSSDA

Horizon Europe Open Science requirements in practice
2024-07-03 10:00 - 18:00 (Europe/Zagreb) | Online via Zoom
Have any doubts or questions about your obligations as a Horizon Europe (HE) grant holder in terms of Open Access to publications and Research Data Management? We will present the HE requirements, followed by some time for your questions to our experts. You will also get a preview of the main tools and services OpenAIRE provides to help project coordinators and research support staff on the requirements’ compliance.Learn about:
Mandatory and recommended Open Science requirements in HE.
Compliance with the HE Open Access to publications mandate.
Managing and sharing Research Data in HE projects.
Delivering Data Management Plans and reporting publications and datasets in HE.
OpenAIRE tools and services to support HE projects.
OpenAIRE is a not-for-profit organisation that is supported by several HE grants. This webinar is organised as part of an effort to make Open Science practices easier to understand and implement.

Symposium: Critical Perspectives on the Metascience Reform Movement
2024-03-07 15:00 - 18:30
Metascience is often defined as the scientific investigation of science itself with the aim to improve science. This ‘improving’ part of metascience has been called a reform movement. While the intention to improve science is generally laudable, metascience and the associated movement(s) are not without their critics. The metascience reform movement has for instance been characterized as among other things, neoliberal, positivistic, atheoretical, technological, moralizing, bureaucratic, homogenizing, mechanistic, quantitative, psychological (psychologizing), social, civilizing, bullying, exclusive, coercive, activist, and normative. In this symposium some of those critical perspectives will be presented and discussed.
Welcome
6:00 am PST / 9:00 am EST / 3:00 pm CEST
Opening remarks from Tim Errington, COS’s Senior Director of Research, and Sven Ulpts, PhD Fellow, Aarhus University, Department of Political Science – Danish Centre for Studies in Research and Research Policy.
Shamed Into Good Science
6:10 am PST / 9:10 am EST / 3:10 pm CESTScientific reform has proposed various improvements to the research process, some of which have been put into place. These proposals, or innovations, include preregistration, registered reports, post-registration, (data) sharing infrastructures and -platforms and more. However, beyond the ‘process innovations’, scientific reform also generated new forms of collaboration towards knowledge-making in which novel approaches to harnessing trust and distrust are built into the collaboration, including but not limited to ManyLabs approaches. The many “ManyLabs” in existence display diverse and experimental epistemic and moral strategies and ideals for scientific organisation and practice. I will speak about the social processes that drive these new processes and colaborations.
The Invisible Workload of Open Research
6:35 am PST / 9:35 am EST / 3:35 pm CEST
It is acknowledged that conducting open research requires additional time and effort compared to conducting ‘closed’ research. However, this additional work is often discussed only in abstract terms, a discourse which ignores the practicalities of how researchers are expected to find the time to engage with these practices in the context of their broader role as multifaceted academics. There is a clear danger that additional expectations to engage in open practices add to the workload of often already overburdened academics and research professionals. Using theories of administrative burden and workload creep, I discuss individual and systematic responsibilities to mitigate this.
Why Replication Is Underrated
7:00 am PST / 10:00 am EST / 4:00 pm CEST
I will argue that replication is underrated because it can do more epistemic work than is usually acknowledged. In the current philosophical and metascientific literature replication is depicted as a backward-looking tool: it is used to increase trust in published data. I will argue that replication also plays an important forward-looking role, as it can help researchers to build trust in novel data that is being generated. To understand this forward-looking role it is important to build a better understanding of the ways in which replication is deeply integrated into everyday research practice (Guttinger 2019; Peterson and Panofsky 2021).
Communities of Practice in the Science Reform Movement – Recognizing and Mobilizing Diverse Contributions to Science Reform
7:30 am PST / 10:30 am EST / 4:30 pm CEST
When people write and talk about science reform, they refer to a movement, or a single community of practice centered on improving how science is done and shared. An ethnography and subsequent network analysis I conducted on the online part of the movement reveals evidence of a much more complex research and activism landscape, however. My work indicated that while there indeed exists a singular purpose, or ‘joint enterprise’ which unites much of the science reform’s activity, the group of people driving the movement tend to organise into smaller clusters within the broader landscape. They group together based on different priorities, methodologies and even philosophies of science; a constellation of small communities of practice. My talk presents this preliminary research, and outlines some interesting implications it might have for considering the future of the reform movement.
The Decline of Scientific Individualism?
7:55 am PST / 10:55 am EST / 4:55 pm CEST
A number of metascience innovations—such as the Psych Science Accelerator, Many Analysts projects, the Multi-PART study, and cloud labs—involve an explicit move away from individuals or small teams as the basic unit of scientific research. This talk will ask whether metascience as a movement might be hastening the decline of scientific individualism (if such a decline is indeed taking place!), and what epistemic and social risks might be associated with these changing work practices.
Meta Makeover: Ditching Dogmas and Raising Standards of Evidence
8:20 am PST / 11:20 am EST / 5:20 pm CEST
Metascience and scientific reform have initiated a social movement toward procedural changes in scientific practice. Prioritization of prescriptive recommendations (e.g., preregistration, replication) over theoretical understanding or evidence-based solutions has led to uncritical, even dogmatic interpretations of reforms. Evidential standards are relaxed when evaluating metascientific results that endorse reforms. Self-serving and self-congratulatory narratives have led to premature metascience hubris. Without intellectual humility, however, there is no hope for meaningful progress. I suggest it is time to course correct, time for (meta)scientists to ditch dogmas and heuristics, and refocus on science.

Learn From Our Users: Institutional Basics on the OSF
2023-11-28 19:00
If you work at a research institution and support researchers as a librarian, or you work to support researchers in a research office, this webinar is for you. You might be grappling with how to support sharing of data management plans, data, and metadata to comply with new policies. OSF Institutional membership might be a solution for some of your support needs. Join us as we focus on how other institutions have utilized the OSF and how the OSF software infrastructure works for you and your research community.

JEDI 2023 Annual Meeting: Improving Published Research
2023-11-15 23:00 - 2023-11-16 00:30
The Journal Editors Discussion Interface is pleased to announce its 2023 Annual Meeting events:
Panel 1: Experiences with Correcting the Scientific Record
15.11.2023. / 23:00 CET / duration 90 min
Join a group of experts as they delve into the practical aspects of rectifying or withdrawing publications, offering valuable experiences and perspectives on the motivations and complexities involved.
Panel 2: Transparency & Innovation in Peer Review
16.11.2023. / 17:00 CET / duration 90 min
Explore the evolving landscape of peer review with the panelists as they discuss challenges and opportunities related to transparency, open reviewer identities, open content in reviews, new ways to provide post-publication evaluations of scholarly manuscripts, and more.
More information

Learn From Our Users: Projects and Collection Basics on the OSF
2023-11-14 19:00
Have you heard about the OSF, projects, or OSF Collections? Are you confused? No problem! We’re here to discuss the basics of how these open scholarship tools and workflows work, with a focus on existing OSF project and Collections use-cases and the people that utilize them. Join us if you support researchers as a program officer, a funder, or a research coordinator. Join us if you’re a researcher looking to understand the fundamentals of how the OSF platform supports the project and OSF Collection workflows.

Helping Others Use Your Data: Lessons From the Field of Neuroscience
2023-11-08 17:00 - 18:00
So you’ve created an amazing dataset that you would love for other researchers to have access to. What’s next? Join experts from NeuroImaging Data Model (NIDM) and the Max Planck Institute for Empirical Aesthetics to learn about metadata: what it is, why it is important, and how the OSF and other tools can make it easy for you to include it with your project materials so others can find the data you’ve worked so hard to curate.

Learn From Our Users: Registration and Registry Basics on the OSF
2023-11-07 19:00
Have you heard about registrations, preregistration, or OSF Registries? Are you confused? You’re not alone. We’re here to discuss the basics of how these open scholarship tools and software products work, with a focus on existing use-cases and users. Join us if you support researchers as a program officer, a funder, or a research coordinator. Join us if you’re a researcher looking to understand the fundamentals of how the OSF platform supports these tools and workflows.

48th Annual Conference of IASSIST – Diversity in Research: Social Justice from Data
2023-05-30 00:00 - 2023-06-02 23:59
Philadelphia, PA, USA, May 30 – June 2, 2023
Host institution: IASSIST with representation from the University of Pennsylvania, Princeton University, Rutgers University, and Temple University.
Registration is NOW OPEN!
Go the registration page to get more information and register.
Program
The theme of the conference is Diversity in Research: Social Justice from Data.
The full program is now available.
Registration
Registration is now open. Go the registration page to get more information and register. Information on the Conference Hotel and rate is available on the hotel page.
Come and join us for the Best. IASSIST. Ever.
Call for Papers and Workshops
The Call for Submissions page describes the theme in further detail. Submissions have closed and notifications of acceptance have been sent out.

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.

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.

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.

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)

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/.

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.

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

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.

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

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.

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

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

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

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”.

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

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

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.

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

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

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.

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.

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.
