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FAIRsFAIR Repository Support Series - The role of Repositories in enabling Persistent Identifier (PID) Graphs - Slides

Braukmann, Ricarda; Lambert, Simon; Fenner, Martin; Wimalaratne, Sarala; Ulrich, Robert; Davidson, Joy;

FAIRsFAIR Repository Support Series - The role of Repositories in enabling Persistent Identifier (PID) Graphs - Slides

Abstract

Slides from the webinar on The role of Repositories in enabling Persistent Identifier (PID) Graphs - Slides held April 21st 2021. This webinar is part of the FAIRsFAIR Repository Support Series Webinars Persistent Identifiers (PIDs) play a central role in the FAIR ecosystem. PIDs enable the unique identification of digital entities and provide a way for us to refer to entities in a persistent way. The power of PIDs is amplified when they are connected with each other, creating a PID Graph. This webinar will dive into the concept of the PID Graph and their usefulness for repositories. You will hear about the PID Graph developments that have taken place in the context of the EOSC through the FREYA project as well as within the RDA Interest Group on Open Science Graphs for FAIR Data. Finally, the webinar will close with an outlook on the work being done to support PID Graphs and the ongoing and upcoming activities taking place in the FAIRsFAIR project. This webinar is the first of our series to support repositories to become more FAIR-enabling. 14:30-14:35 Welcome (Ricarda Braukmann - DANS) 14:35-14:45 Introduction (Simon Lambert - STFC) 14:45-15:05 The FREYA PID Graph (Martin Fenner, DataCite) 15:05-15:15 Advancing DataCite Commons and accompanying measures by re3data - Sarala Wimalaratne (DataCite) and Robert Ulrich (re3data) 15:15-15:25 Discussion (hosted by Ricarda Braukmann - DANS) 15:25-15:30 Closure and recommendations (Joy Davidson - DCC)

Keywords

PID Graph, repositories, Persistent identifiers

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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).
    0
    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.
    Average
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Average
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    downloads
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visibility
download
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
downloads
OpenAIRE UsageCountsDownloads provided by UsageCounts
Average
Average
Average
330
170
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Funded by
EC| FAIRsFAIR
Project
FAIRsFAIR
Fostering FAIR Data Practices in Europe
  • Funder: European Commission (EC)
  • Project Code: 831558
  • Funding stream: H2020 | CSA
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