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Other literature type . 2020
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Project deliverable . 2020
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Data management plan, report aligned to the H2020 suggested template and FAIR principles

Authors: Sciacca, Eva; Kakaletris, George; Ntouskos, Makis;

Data management plan, report aligned to the H2020 suggested template and FAIR principles

Abstract

This report summarizes NEANIAS activities and actions towards comprehensive Data Management which is aligned to EC guidelines and FAIR Data principles [1]. In particular, D1.5 describes NEANIAS data management plan and discusses the data management lifecycle to answer questions regarding both Ethical and Research data management. NEANIAS cloud services will be able to support the data life cycle management of relatively large and heterogeneous datasets, will be based on best practices in coherence with the developments of the current and next generation EOSC frameworks. NEANIAS will secure openness and accessibility of the science results, data publishing in a useful manner and FAIR principles that are considered as baseline. By making NEANIAS data Findable, Accessible, Interoperable and Reusable new ways of interdisciplinary collaborations will be enabled and complex and global challenges could be addressed through EOSC. Deliverable 1.5 besides addressing which data, data types and data sources will be considered in the context of NEANIAS (Section 2) answers questions regarding the overall Research Data Management plan (Section 3), including: - how can data be employed and exploited by NEANIAS services - how long will datasets and products be kept - which methodology and standards will be applied - whether data will be shared/ made open access - how data will be curated and preserved (including after the end of the project). Further questions related to ethical data management are addressed in Section 4 includes: - the employed privacy policies - use and process of (end-) user data for research purposes - ethical vs. compliance aspects of privacy - any ethical implications of algorithms used - lawful bases for data processing

Keywords

FAIR Data, Open Access, EOSC, Data Management

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citations
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.
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views
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