Case study in sensitive data: FAIR4Health

This blog post is authored by S. Venkataraman (DCC) in the framework of the RDM task force's "Data Reuse" working group. Introduction  Not all data can be easily reused, if at all. These usually arise from sources that need to maintain confidentiality based on a number of factors that could lead to the identification of individuals or other sensitive information. In these cases, different measures need to be taken to ensure the protection of identities. Meanwhile, the FAIR princip...

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4 Challenges for institutional research data management support

Let's be honest, it's not always easy to find your way in the jungle of research data management services. Because we hope to learn from each other, Ghent University (Belgium) shares 4 challenges1 towards the development of it's institutional research data support and what they learned along the way2.  1.Where in the world to begin?  The challenge of starting something: Policy work  Chances are you don't need to start from scratch. Research data management is integrated in the res...

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Good RDM resources are here… according to the OpenAIRE NOADs

Last year, the Research Data Management (RDM) taskforce of NOADs in OpenAIRE realised that the NOADs use a variety of handy resources concerning RDM in their daily work. For NOADS and other supporters of open science and making research data FAIR, there are many resources available but how to pick the ones that are most useful to you, in other words, how to find your needle in the haystack? Recently, the list of RDM resources recommended by NOADs was published. It is based on activities around f...

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