FORM 2024: Boosting MENA Research Visibility with Persistent Identifiers

Adopting persistent identifiers (PIDs) for research outputs and resources significantly enhances their visibility and ensures alignment with FAIR data principles. PIDs are unique, permanent identifiers that enable the accurate identification and citation of research outputs over time. This is crucial for Open Research, as it allows researchers to share their work more broadly while effectively tracking its impact. In his presentation at the 2024 Forum for Open Research in MENA, held at Qatar National Library in Doha, Mohamad Mostafa emphasized the importance of linking repositories with DOIs to support global discoverability and accessibility.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2024-10-17
DOI
https://doi.org/10.5281/zenodo.13943471
Primary Topic
Research Data Management Practices
Type
article
Field-Weighted Citation Impact
0.00
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article

FORM 2024: Boosting MENA Research Visibility with Persistent Identifiers

Zenodo (CERN European Organization for Nuclear Research)
Research Data Management Practices
article

FORM 2024: Boosting MENA Research Visibility with Persistent Identifiers

article en

Abstract

Adopting persistent identifiers (PIDs) for research outputs and resources significantly enhances their visibility and ensures alignment with FAIR data principles. PIDs are unique, permanent identifiers that enable the accurate identification and citation of research outputs over time. This is crucial for Open Research, as it allows researchers to share their work more broadly while effectively tracking its impact. In his presentation at the 2024 Forum for Open Research in MENA, held at Qatar National Library in Doha, Mohamad Mostafa emphasized the importance of linking repositories with DOIs to support global discoverability and accessibility.

Zenodo (CERN European Organization for Nuclear Research)
DataCite (DE)
Industry, innovation and infrastructure
Openalex Percentile: Top 37%
Research Data Management Practices
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