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 quality assessment of preprints and data publications. The VU Library is joining forces with 4TU.ResearchData to talk about peer-review beyond journal articles. 

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 peer review applied to preprints and data.

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

Mahesh Karnani Peer Community In Neuroscience: Free and transparent preprint peer-review

Connie Clare 4TU.ResearchData: A pilot for data & code peer-review

13: 40 Q&A and discussion with both speakers

14:00 Conclusion

About the speakers 

Mahesh Karnani

Mahesh is a new group leader at VU Center for Neurogenomics and Cognitive Research. He is also a manager of Peer Community In Neuroscience (PCI Neuro), which is a community initiative that arranges free and transparent peer-review of neuroscience preprints. PCI Neuro is a part of the larger PCI organization which is a non-profit that brings together communities of researchers to peer-review preprints in their field for free. This talk will showcase how PCI offers solutions to key issues in the classical journal publication system.

Connie Clare

Connie is the community manager at 4TU.ResearchData, an international data repository for science, engineering and design. Her focus is to engage and connect researchers and data supporters about data management, and to bring discipline-specific communities together to stimulate the creation of FAIR data through use of the 4TU.ResearchData repository. This talk will introduce a pilot for the peer-review of data and software code published in the repository.

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. Students, 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 Data Conversations at the VU Amsterdam 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.