Open data, open methods, and reproducible and transparent research are increasingly endorsed by funders, publishers, institutions, and learned societies. But what does making your research open, transparent, and reproducible mean in practice? 

This edition of the Data Conversations will focus on exisitng RDM best practices. We will look into what FAIR data means in differnet disciplines and talk about methodological diversity.

Researchers, Students and Staff from different Faculties, Institutes, Services and disciplines will have a chance to hear and learn from each other about their experiences.

Come and share your research data stories and hear others. Find the registration button at the bottom of this page.

Location: the meeting is in person; come to VU Main Building 1B04 (PThU Werkgroepzaal 5/6)

Agenda

12:00 - 12:15 Grab your lunch and get comfortable

12:15 - 12:30 Stephan van der Zwaard Finding your way in FAIR data

12:30 - 12:45 Koen Leveld FAIRness and methodological diversity

12:45 - 13:00 Lena Karvovskaya Launching the VU Open Science Challenge Award

13:00 - 13:30 (optional) Further discussion, sharing ideas and experiences and networking

About the speakers

Stephan van der Zwaard

Stephan van der Zwaard has a background in Human Movement Sciences and Data Science. He works as an assistant professor at the Vrije Universiteit Amsterdam and uses the complementary fields of physiology and data science to investigate how people can train to improve their exercise tolerance. Also, Stephan is the contact person for research data management at the Department of Human Movement Sciences, providing advice on data management and FAIR data.

Koen Leveld-Postma

Koen Leuveld is the Data Steward for the Faculty of Social Sciences. He advises researchers from the various disciplines within the social sciences on how to make their data FAIR, and how to comply various with legal and ethical standards. Koen has a background in Development Economics, for which he investigated the links between economic behaviour, institutions and development.

Lena Karvovskaya

Lena works as Community Manager RDM and Open Science. She will introduce the VU Open Science Challenge Award, seed funds offered by VU in combination with project-based mentoring provided in collaboration with the Open Seeds programme of OLS (previously known as Open Life Science).

What to expect?

Data Conversations will feature two short talks from researchers or colleagues who support research. Each talk will be about 10 minutes long. There will be a joint Q&A after the talks. Don't miss the free lunch at the beginning of the event! Those who are willing to stay longer than an hour are welcome to continue discussion and networking after the presentations. Use the registration form at the bottom to indicate your dietary restrictions.

Who should attend?

Data Conversations brings together researchers, research support staff and data management and data science experts from all subject areas. Early career researchers, as well as experienced academics, are welcome to attend.

About Data Conversations

Data Conversations started at the University of Lancaster in the UK. The Lancaster Data Conversations aim to bring data practitioners together to talk about how researchers create, collect, use and share data. The Data Conversations at the VU Amsterdam share the same aim and are intended to provide a forum for researchers from different subjects and disciplines to exchange practices and ideas around open data, FAIR data, research data management and related open science topics.

Call for Talks

You can attend and benefit from your colleagues' experiences or come and present your own experiences. We welcome short talks on topics related to Open Science and Reproducible Research from early career researchers as well as from more experienced academics and research support staff. This is an informal and inclusive event, so whether you are a seasoned presenter or a first-timer, your contribution will be welcome.

If you would like to propose a talk, please complete this form.