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The main obstacles to better research data management and sharing are cultural. But change is in our hands – LSE Blog (Marta Teperek and Alastair Dunning | November 2018)

Posted by saviorteam in Human Research Ethics on December 7, 2018
Keywords: Data management, Database, Good practice, Institutional responsibilities, Privacy, Protection for participants, Researcher responsibilities
The word 'Connected' written across a partially complete jigsaw puzzle

This blog post is a summary of Marta Teperek’s presentation at today’s Better Science through Better Data 2018 event.

By now, it’s probably difficult to find a researcher who hasn’t heard of journal requirements for sharing research data supporting publications. Or a researcher who hasn’t heard of funder requirements for data management plans. Or of institutional policies for data management and sharing. That’s a lot of requirements! Especially considering data management is just one set of guidelines researchers need to comply with (on top of doing their own competitive research, of course).

All of these requirements are in place for good reasons. Those who are familiar with the research reproducibility crisis and understand that missing data and code is one of the main reasons for it need no convincing of this. Still, complying with the various data policies is not easy; it requires time and effort from researchers. And not all researchers have the knowledge and skills to professionally manage and share their research data. Some might even wonder what exactly their research data is (or how to find it).

Read the rest of this discussion piece

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Australasian Human Research Ethics Consultancy Services Pty Ltd (AHRECS)

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