15 September 2022 13:00 - 14:00
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In this special edition of the Data Conversations we celebrate a milestone: 1000 Data Management Plans (DMPs) written at the VU. Researchers from different Faculties, Institutes and disciplines will have a chance to hear and learn from each other about their experiences with planning for good data management and transparent and open research.
Come and share your research data stories and hear others. Find the registration button at the top of this page.
13:00 - 13:15 Welcome with free lunch
13:15 - 13:30 TBA
13:30 - 13:45 TBA
13:45 - 14:00 Discussion, sharing ideas and experiences
You can attend and benefit from your colleagues' experiences, or come and present your own experiences. We welcome short talks on the topic of the event (Open Data, Open Methods, 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.
Data Conversations will feature two short talks from researchers or colleagues who support research. Each talk will be about 10 minutes long and there will be time for discussion.
There will also be time for networking with colleagues. Don't miss the free lunch at the beginning of the event!
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.
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.