Exploring Determinants of Longevity of Biomedical Databases

Joseph Finkelstein, Jennifer Guarino, Xingyue Huo, Kirill Borziak, Irena Parvanova

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

3 Scopus citations

Abstract

The maintenance of biomedical databases requires ongoing and systematic efforts in keeping them up-to-date which may affect long-term sustainability. Since research has become more reliant on publicly available biomedical data collections, it is important to understand factors affecting their longevity. The aim of this article was to explore potential determinants of biomedical database longevity. To build an analytical dataset, we used Database journal that have been created as an open access platform for presenting biological databases. A stratified analysis of all the original databases published in Database journal between 2009 and 2016 was conducted depending on their accessibility status. Overall, 35% of 518 analyzed databases were not accessible in 2020. We showed that databases with higher citation counts from institutions with higher scientific output were significantly more likely to be currently accessible. Databases from researchers with higher h-index were more likely to be accessible. Further investigation is warranted to identify factors affecting longevity of high impact databases.

Original languageEnglish
Title of host publicationMEDINFO 2021
Subtitle of host publicationOne World, One Health - Global Partnership for Digital Innovation - Proceedings of the 18th World Congress on Medical and Health Informatics
EditorsPaula Otero, Philip Scott, Susan Z. Martin, Elaine Huesing
PublisherIOS Press BV
Pages135-139
Number of pages5
ISBN (Electronic)9781643682648
DOIs
StatePublished - 6 Jun 2022
Event18th World Congress on Medical and Health Informatics: One World, One Health - Global Partnership for Digital Innovation, MEDINFO 2021 - Virtual, Online
Duration: 2 Oct 20214 Oct 2021

Publication series

NameStudies in Health Technology and Informatics
Volume290
ISSN (Print)0926-9630
ISSN (Electronic)1879-8365

Conference

Conference18th World Congress on Medical and Health Informatics: One World, One Health - Global Partnership for Digital Innovation, MEDINFO 2021
CityVirtual, Online
Period2/10/214/10/21

Keywords

  • Biomedical databases
  • longevity
  • predictive analytics

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