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Conference object . 2019
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Conference object . 2019
License: CC BY
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Other literature type . 2019
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https://dx.doi.org/10.5281/zen...
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The use of Persistent Identifiers for Research Datasets : Recommendation by the Finnish Scientific Community for Open Research

descriptionPublicationkeyboard_double_arrow_right Conference object , Other literature type 03 Dec 2019 English Publisher:Zenodo
Authors: Parland-von Essen, Jessica; Alaterä, Tuomas; Sipola, Tiina; Lukkarinen, Ari; Pääkkönen, Tuula; Kiiskinen, Harri; Aalto, Tero; +6 Authors

doi: 10.5281/zenodo.3560737 , 10.5281/zenodo.3560738

The use of Persistent Identifiers for Research Datasets : Recommendation by the Finnish Scientific Community for Open Research

Abstract

This recommendation is created in a working group within the Finnish Open Science and Research Coordination (openscience.fi). It is aimed at research organisations and institutions and may be used as a supporting document, when creating a PID policy. The focus is on static dataset publications and research data repositories. The poster was presented at the CODATA seminar in Helsinki on 21st and 22nd of October 2019.

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Keywords

data management, research data, persistent identifiers

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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).
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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.
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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