A Maturity Model for Biomedical Data Curation

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Abstract

Quality is an important aspect that needs to be ensured in
databases, as the importance of data is determined by its quality.
This draws attention of many databases providers to care about
curating their data in order to keep their data in good quality. Also,
this leads databases providers and researchers to investigate the
area of data curation and propose ways to improve it, either by hiring
human curators to manually curate the data, or by applying tools and
frameworks.
However, among all available suggestions to improve data curation,
to the best of our knowledge, there is not a general description
of the curation process that also provides solutions to improve it,
which can help database providers to assess how mature their data
curation is. To fill this gap, this paper proposes a Maturity Model
that describes the maturity levels of biomedical data curation. We
believe that the proposed Maturity Model can help database providers
to identify limitations in their curation methods and enhance their
curation process, by using the main components of our model, as well
as details about what needs to be accomplished in each component,
also provided by the model.
Original languageEnglish
Title of host publicationProceedings of the 8th International Conference on Biomedical Ontology (ICBO 2017)
Number of pages6
Publication statusPublished - 15 Sept 2017

Publication series

NameCEUR Workshop Proceedings
ISSN (Electronic)1613-0073

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