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ZENODO
Event . 2024
License: CC BY
Data sources: ZENODO
ZENODO
Event . 2024
License: CC BY
Data sources: Datacite
ZENODO
Event . 2024
License: CC BY
Data sources: Datacite
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The benefits of Open Research Data

Authors: McNiece, Kiera; Pasquale, Valentina; bardi, Alessia;

The benefits of Open Research Data

Abstract

In an age when an easy access to knowledge and science is more critical than ever, it is crucial to share research data in the most fair and cost-effective way possible for both researchers and society, with a perspective of progress and collaboration. But first it is necessary to know what it means to open up research data, and to try to solve the difficulties that may be encountered on the way to a research that should be “as open as possible, as closed as necessary”. This and other topics were discussed in the workshop called The benefits of Open Research Data, organized by Bocconi University Library in the context of International Open Access Week 2024. During this workshop, Kiera McNeice gave an overview of ORD and why it is important to open up research data. Valentina Pasquale then discussed about enabling data sharing and reuse through institutional data stewardship services and, finally, Alessia Bardi explained the concept of FAIRness of data and their discoverability. The workshop followed a round table dedicated to the benefits and the difficulties for researchers to open up their data: the discussion was attended by Professor Andrea Ordanini and Gina Pavone and moderated by Professor Amelia Compagni.

Keywords

open access, research, open research data, italy, open science, fairness, research data, social sciences

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    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).
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    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.
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    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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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!
0
Average
Average
Average
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