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Data Management Planning and Overcoming Challenges in Social Sciences Data Sharing - Day 1

Authors: Zahid, Hina; Magder, Cristina; Vlad, Anca; Haaker, Maureen;

Data Management Planning and Overcoming Challenges in Social Sciences Data Sharing - Day 1

Abstract

A Data Management Plan helps achieve optimal handling, organising, documenting and enhancing of research data. It is particularly important for facilitating data sharing, ensuring the sustainability and accessibility of data in the long-term and allowing data to be reused for future research. For the effective management of data, planning must start when research is being designed and needs to consider both how data will be managed during the research and how they will be shared afterwards. This document includes presentation slides from the Day 1 of the event.

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Keywords

EOSC, SSHOC, Social Sciences and Humanities Open Cloud, Data Management Plan, European Open Science Cloud

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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
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