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Connecting the pieces: Using ORCIDs to improve research impact and repositories
Quantitative data are crucial in the assessment of research impact in the academic world. However, as a young university created in 2009, King Abdullah University of Science and Technology (KAUST) needs to aggregate bibliometrics from researchers coming from diverse origins, not necessarily with the...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
F1000Research
2015
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4654437/ https://www.ncbi.nlm.nih.gov/pubmed/26664706 http://dx.doi.org/10.12688/f1000research.6502.1 |
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author | Baessa, Mohamed Lery, Thibaut Grenz, Daryl Vijayakumar, J. K. |
author_facet | Baessa, Mohamed Lery, Thibaut Grenz, Daryl Vijayakumar, J. K. |
author_sort | Baessa, Mohamed |
collection | PubMed |
description | Quantitative data are crucial in the assessment of research impact in the academic world. However, as a young university created in 2009, King Abdullah University of Science and Technology (KAUST) needs to aggregate bibliometrics from researchers coming from diverse origins, not necessarily with the proper affiliations. In this context, the University has launched an institutional repository in September 2012 with the objectives of creating a home for the intellectual outputs of KAUST researchers. Later, the university adopted the first mandated institutional open access policy in the Arab region, effective June 31, 2014. Several projects were then initiated in order to accurately identify the research being done by KAUST authors and bring it into the repository in accordance with the open access policy. Integration with ORCID has been a key element in this process and the best way to ensure data quality for researcher’s scientific contributions. It included the systematic inclusion and creation, if necessary, of ORCID identifiers in the existing repository system, an institutional membership in ORCID, and the creation of dedicated integration tools. In addition and in cooperation with the Office of Research Evaluation, the Library worked at implementing a Current Research Information System (CRIS) as a standardized common resource to monitor KAUST research outputs. We will present our findings about the CRIS implementation, the ORCID API, the repository statistics as well as our approach in conducting the assessment of research impact in terms of usage by the global research community. |
format | Online Article Text |
id | pubmed-4654437 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | F1000Research |
record_format | MEDLINE/PubMed |
spelling | pubmed-46544372015-12-09 Connecting the pieces: Using ORCIDs to improve research impact and repositories Baessa, Mohamed Lery, Thibaut Grenz, Daryl Vijayakumar, J. K. F1000Res Software Tool Article Quantitative data are crucial in the assessment of research impact in the academic world. However, as a young university created in 2009, King Abdullah University of Science and Technology (KAUST) needs to aggregate bibliometrics from researchers coming from diverse origins, not necessarily with the proper affiliations. In this context, the University has launched an institutional repository in September 2012 with the objectives of creating a home for the intellectual outputs of KAUST researchers. Later, the university adopted the first mandated institutional open access policy in the Arab region, effective June 31, 2014. Several projects were then initiated in order to accurately identify the research being done by KAUST authors and bring it into the repository in accordance with the open access policy. Integration with ORCID has been a key element in this process and the best way to ensure data quality for researcher’s scientific contributions. It included the systematic inclusion and creation, if necessary, of ORCID identifiers in the existing repository system, an institutional membership in ORCID, and the creation of dedicated integration tools. In addition and in cooperation with the Office of Research Evaluation, the Library worked at implementing a Current Research Information System (CRIS) as a standardized common resource to monitor KAUST research outputs. We will present our findings about the CRIS implementation, the ORCID API, the repository statistics as well as our approach in conducting the assessment of research impact in terms of usage by the global research community. F1000Research 2015-07-07 /pmc/articles/PMC4654437/ /pubmed/26664706 http://dx.doi.org/10.12688/f1000research.6502.1 Text en Copyright: © 2015 Baessa M et al. http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution Licence, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. The author(s) is/are employees of the US Government and therefore domestic copyright protection in USA does not apply to this work. The work may be protected under the copyright laws of other jurisdictions when used in those jurisdictions. |
spellingShingle | Software Tool Article Baessa, Mohamed Lery, Thibaut Grenz, Daryl Vijayakumar, J. K. Connecting the pieces: Using ORCIDs to improve research impact and repositories |
title | Connecting the pieces: Using ORCIDs to improve research impact and repositories |
title_full | Connecting the pieces: Using ORCIDs to improve research impact and repositories |
title_fullStr | Connecting the pieces: Using ORCIDs to improve research impact and repositories |
title_full_unstemmed | Connecting the pieces: Using ORCIDs to improve research impact and repositories |
title_short | Connecting the pieces: Using ORCIDs to improve research impact and repositories |
title_sort | connecting the pieces: using orcids to improve research impact and repositories |
topic | Software Tool Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4654437/ https://www.ncbi.nlm.nih.gov/pubmed/26664706 http://dx.doi.org/10.12688/f1000research.6502.1 |
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