Data Conversations: Open Science, Responsible Research Practices, Failures, Setbacks and Resilience Online
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? What are the advantages and the pitfalls?
This edition of the Data Conversations is a part of the awareness campaign the Data Horror Week organized by the VU Library. We will talk about the research culture, responsible research practices, and the importance of failures. Research transparency is unthinkable without a safe space to acknowledge and discuss errors and mistakes.
In this Data Conversations researchers from different Faculties, Institutes and disciplines will have a chance to hear and learn from each other about their experiences with opening up data and methods, failures, and setbacks.
Come and share your research data stories and hear others. Find the registration button at the bottom of this page. At the moment, Data Conversations take place online. You will receive an email with a Zoom link after your registration.
About the speakers
Veronika Cheplygina received her Ph.D. from the Delft University of Technology for her thesis in the field of machine learning in 2015. After a research visit to Max Planck Institute for Intelligent Systems in Tuebingen, Germany, and a postdoc Biomedical Imaging Group Rotterdam, Erasmus MC in The Netherlands, in 2017 she started as assistant professor of medical image analysis at Eindhoven University of Technology. Her research focuses on machine learning scenarios where few labels are available, such as transfer learning or meta-learning. In 2020, Veronika announced she is leaving her tenure track position in search of the next step where she can contribute to open & inclusive science. She blogs about these topics on https://www.veronikach.com, and gives talks and workshops to early career researchers. She also loves cats, which you will often encounter in her work.
Joeri Tijdink is a psychiatrist and assistant professor at the Amsterdam University Medical Center and VU Amsterdam in the Netherlands. After he obtained his PhD with his thesis entitled Publish & Perish, he is involved in several research projects studying research integrity. His research focuses on research integrity, research culture, and mental health in academia and also on ways to foster responsible research practices for researchers and within research institutions. He is the author of the self-help guide Scholar on the sofa; How to survive in academia.
12:50 - 13:00 Sign in; check your microphone
13:00 Data Conversations begin
Veronika Cheplygina "How I Fail in Open Science - Data horrors and fighting ghosts"
Joeri Tijdink "How can Open Science foster responsible research practices"
13:45 - 13: 55 Discussion in smaller groups
13:55 - 14:00 Wrap-up and closing
After the session: optional virtual drinks - if you are ready to hang out with us a bit longer :-)
What to expect?
Data Conversations will feature a series of short talks from researchers or colleagues who support research. Each talk will be about 10 minutes long and there will be time for a Q&A session. There will be a discussion in smaller groups to give you an opportunity to meet like-minded colleagues across the VU.
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.
- Wednesday, October 28, 2020
- 13:00 - 14:00
- Time Zone:
- Central European Time (change)
- This is an online event. Event URL will be sent via registration email.
Location in Google Maps
Lena Karvovskaya is VU Amsterdam's Research Data Management (RDM) Community Manager. She visits RDM expertise meetings and conferences at home and abroad and takes care of the proper dissemination of the latest knowledge throughout VU Amsterdam.
Lena has a PhD in theoretical linguistics and previously worked as a research data manager at Utrecht University Library.