Research Data in Astronomy: Assessing its Impact and Visibility through a Bibliometric Analysis

Cortés-Rodríguez, Patricio, Depoortere, Denise and Opazo-Calfin, Lucy Research Data in Astronomy: Assessing its Impact and Visibility through a Bibliometric Analysis., 2022 . In Library and Information Services in Astronomy (LISA), UK, 14–18 June 2021. [Conference paper]

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English abstract

In the context of the Open Access and Open Science initiatives, Research Data Management becomes relevant and of current interest to researchers, libraries, and institutions that contribute to the development of scientific knowledge. Particularly in Astronomy, it is a challenge to convert, standardize, process, and arrange large volumes of information and data (estimated in several petabytes), coming from the results of astronomical observations, astronomical catalogs, computational codes, among others, which constitute a fundamental initial step in scientific research [1]. Due to this, and the limited studies on this subject, a bibliometric methodology was applied to analyze indexed datasets in the Data Citation Index (Web of Science, Clarivate Analytics) in the Astronomy & Astrophysics category, for the period 2010-2019, allowing to identify annual evolutions, countries, and institutions with higher productivity, main repositories, and hosting platforms used in publications indexed in Web of Science. The analysis was complemented with InCites (Clarivate Analytics) bibliometric tools to determine the linkage of the publications with the datasets and their impact. The results from this study show a substantial increase in the number of indexed datasets provided by institutions in the United States, United Kingdom, Spain, and Chile, during the analyzed period. In turn, the publications that cite the main datasets show superior performances in the number of citations and the standardized impact, among other productivity and impact metrics.

Item type: Conference paper
Keywords: Bibliometrics; Astronomy; Data set
Subjects: B. Information use and sociology of information > BA. Use and impact of information.
B. Information use and sociology of information > BB. Bibliometric methods
Depositing user: Mr Patricio Cortes
Date deposited: 14 Jan 2024 09:28
Last modified: 14 Jan 2024 09:28
URI: http://hdl.handle.net/10760/45021

References

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2. Zuiderwijk, A., & Spiers, H. 2019, International Journal of Information

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3. Brunner, R.J., Djorgovski, S.G., Prince, T.A., et al. 2002, Handbook of Massive

Data Sets. Massive Computing, vol. 4 (Boston, MA: Springer) doi:10.1007/978-1-

4615-0005-6_27

4. Pepe, A., Goodman, A., Muench, A., et al. 2014, PLoSO, 9, 104798

doi:10.1371/journal.pone.0104798

5. Borgman, C.L. 2017, ERCIM News. 100 https://ercim�news.ercim.eu/en100/special/if-data-sharing-is-the-answer-what-is-the-question

6. Cortés, R., Depoortere, D., & Malaver, L. 2018, EPJWC, 108

doi:10.1051/epjconf/201818605002


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