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 will focus on various use cases for Open Science Framework (OSF). We celebrate that starting enf of Novemeber, OSF will be offered to the VU researchers as central infrastructure. OSF is a free, open source web application that connects and supports the research workflow, enabling scientists to increase the efficiency and effectiveness of their research. Researchers use OSF to collaborate, document, archive, share, and register research projects, materials, and data. 

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 research software.

Come and share your open science and 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.

Agenda

12:50 - 13:00  Sign in; check your microphone

13:00   Data Conversations begin

Alexey Pristupa Introducing OSF as part of the VU infrastructure

Anita Eerland  Collaborating, sharing, and preregistering through OSF

Jacek Buczny Utility of Open Science Framework (OSF) in reviewing process

14:00 Conclusion and next steps

About the speakers

Anita Eerland is an assistant professor Communication Science at Radboud University. She studies language comprehension and adopted OS practices in her own research over a decade ago. To promote OS more broadly, she was involved in several international initiatives (e.g., PsyArXiv, SIPS). In 2018, while being employed by Utrecht University, she founded the Open Science Community Utrecht together with Loek Brinkman. This format has been adopted by many others not only within the Netherlands but also across the border.

Jacek Buczny works at the Department of Experimental and Applied Psychology VU, and he is an associate editor with Personality and Individual Differences, section Psychometrics and Methods (Elsevier). He conducts research in order to understand the relationships between self-regulatory processes and behavior in healthy and psychopathological samples. He teaches courses on mediation and moderation analysis, confirmatory factor analysis, structural equation modeling, and meta-analysis.

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 can 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.