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Fair Data and Data Management Plans

Authors: Paola Masuzzo;

Fair Data and Data Management Plans

Abstract

Managing research data effectively and efficiently is crucial for the success of any research project. In the modern eScience ecosystem, enabling optimal (re)use of data is a major challenge. This slide deck shows that the best approach to managing data is to be as open and FAIR as possible. I present the FAIR principles in detail and highlight best practices, tools, and tips for implementing FAIR Data. I also talk about my personal FAIR story, in building community standards for cell migration research, and touch upon data citation, the why and how. We also look at how to set up and implement a Data Management Plan (DMP) according to the FAIR principles.

Keywords

open science, standards, open data, fair data, data management plan

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
views
OpenAIRE UsageCountsViews provided by UsageCounts
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