OASIcs.SLATE.2023.14.pdf
- Filesize: 1.37 MB
- 16 pages
Document
Towards a Universal and Interoperable Scientific Data Model
Authors
-
Part of:
Volume:
12th Symposium on Languages, Applications and Technologies (SLATE 2023)
Series: Open Access Series in Informatics (OASIcs)
Conference: Symposium on Languages, Applications and Technologies (SLATE) - License:
Creative Commons Attribution 4.0 International license
- Publication Date: 2023-08-15
Cite As Get BibTex
João Oliveira, Diogo Gomes, Francisca Santana, Jorge Oliveira e Sá, and Filipe Portela. Towards a Universal and Interoperable Scientific Data Model. In 12th Symposium on Languages, Applications and Technologies (SLATE 2023). Open Access Series in Informatics (OASIcs), Volume 113, pp. 14:1-14:16, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2023)
https://doi.org/10.4230/OASIcs.SLATE.2023.14
Abstract
The growing number of researchers in Portugal has intensified the appearance of several scientific platforms that allow the indexation of publications and the management of scientific profiles. The diversity and high number of platforms brings problems at the level of crossover and integrity of the information, i.e., the researchers’ profiles are rarely updated, and their data are not properly grouped and cross-referenced. Hence, the need arises for a more global platform that enables the synchronization of information, free from constraints imposed by existing data.The study and work carried out aims to solve this problem by creating a robust and interoperable platform based on an innovative library merge algorithm. Thus, this platform includes information regarding publications, researchers and scientific indicators, by crossing and grouping data from several platforms.
Subject Classification
ACM Subject Classification
- Software and its engineering → Development frameworks and environments
Keywords
- RDProfile
- Researchers
- Scientific Platforms
- Scientific Data
Metrics
- Access Statistics
-
Total Accesses (updated on a weekly basis)
0PDF Downloads
References
- Miriam Baglioni, Paolo Manghi, Andrea Mannocci, and Alessia Bardi. We can make a better use of orcid: Five observed misapplications. Data Science Journal, December 2021. URL: https://doi.org/10.5334/dsj-2021-038.
-
Joanna G. Carvalho. O cv científico dos investigadores. Master’s thesis, U. Minho, 2020.
-
Joanna G Carvalho, João Oliveira, Luciana Machado, and Filipe Portela. A benchmarking study of the scientific platforms. submmited to publication, 2023.
- Clarivate Analytics. Web of science. URL: https://clarivate.com/products/webofscience/.
- Rodrigo Costas, Carmen Corona, and Nicolas Robinson-Garcia. Could orcid play a key role in meta-research? discussing new analytical possibilities to study the dynamics of science and scientists, May 2022. URL: https://doi.org/10.31235/osf.io/sjck6.
- Elsevier. Scopus. URL: https://www.elsevier.com/solutions/scopus.
- Borja González-Pereira, Guerrero-Bote Vicente, and Felix Moya-Anegon. A new approach to the metric of journals’ scientific prestige: the sjr indicator. J. Informetrics, 4:379-391, July 2010. URL: https://doi.org/10.1016/j.joi.2010.03.002.
- J. E. Hirsch. An index to quantify an individual’s scientific research output. Proceedings of the National Academy of Sciences, 102(46):16569-16572, 2005. URL: https://doi.org/10.1073/pnas.0507655102.
- ORCID. What is orcid? URL: https://info.orcid.org/what-is-orcid/.
-
F. Portela. Rdprofile - ficha tecnica, 2022.
- Ken Schwaber and Jeff Sutherland. Scrum: A framework for managing agile projects. Online, 2013. URL: https://www.scrum.org/resources/what-is-scrum.
-
Vivek Singh, Prashasti Singh, Mousumi Karmakar, Jacqueline Leta, and Philipp Mayr. The journal coverage of web of science, scopus and dimensions: A comparative analysis. Scientometrics, 126, March 2021.
-
Vivek Kumar Singh, Prashasti Singh, Mousumi Karmakar, Jacqueline Leta, and Philipp Mayr. The journal coverage of web of science, scopus and dimensions: A comparative analysis. Scientometrics, 126(6):5113-5142, 2021.