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VU Data Conversations: Open Data, Open Methods, Reproducible Research

Authors: Cruz, Maria; Hettne, Kristina; Knapen, Tomas; Plomp, Esther; van Peursen, Wido;

VU Data Conversations: Open Data, Open Methods, Reproducible Research

Abstract

Presentations given at the first edition of Data Conversations held at the Vrije Universiteit Amsterdam and organised by the VU University Library on 17 June 2019. The theme of this first edition was "Open Data, Open Methods, Reproducible Research". Open data, open methods, and reproducible and transparent research are increasingly endorsed by funders, publishers, institutions and learned societies. But what does making research open, transparent and reproducible mean in practice? What are the advantages and the pitfalls? In this Data Conversations researchers from different Faculties, Institutes and disciplines had a chance to hear and learn from each other about their experiences with opening up data and methods and moving towards truly reproducible research. Agenda: Wido van Peursen (VU Faculty of Religion of Theology) "Github as a meeting place for Biblical scholars. Open Science and community building" Tomas Knapen (VU Faculty of Behavioural and Movement Sciences) "Open science methods: Lessons from neuroimaging" Kristina Hettne (Centre for Digital Scholarship, Leiden University Libraries) "FAIR principles applied: a case study in reproducible data science research" Esther Plomp (VU Amsterdam and TU Delft) "Following laboratory protocols: Filling in the gaps using protocols.io" 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.

Keywords

FAIR data, Open Science, Open Methods, Open Data, Research Data Management, Data Conversations, Reproducibility

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This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
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This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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impulse
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