Literature DB >> 28269883

Assessing Metadata Quality of a Federally Sponsored Health Data Repository.

David T Marc1, James Beattie2, Vitaly Herasevich3, Laël Gatewood2, Rui Zhang2.   

Abstract

The U.S. Federal Government developed HealthData.gov to disseminate healthcare datasets to the public. Metadata is provided for each datasets and is the sole source of information to find and retrieve data. This study employed automated quality assessments of the HealthData.gov metadata published from 2012 to 2014 to measure completeness, accuracy, and consistency of applying standards. The results demonstrated that metadata published in earlier years had lower completeness, accuracy, and consistency. Also, metadata that underwent modifications following their original creation were of higher quality. HealthData.gov did not uniformly apply Dublin Core Metadata Initiative to the metadata, which is a widely accepted metadata standard. These findings suggested that the HealthData.gov metadata suffered from quality issues, particularly related to information that wasn't frequently updated. The results supported the need for policies to standardize metadata and contributed to the development of automated measures of metadata quality.

Mesh:

Year:  2017        PMID: 28269883      PMCID: PMC5333273     

Source DB:  PubMed          Journal:  AMIA Annu Symp Proc        ISSN: 1559-4076


  2 in total

1.  The ClinicalTrials.gov results database--update and key issues.

Authors:  Deborah A Zarin; Tony Tse; Rebecca J Williams; Robert M Califf; Nicholas C Ide
Journal:  N Engl J Med       Date:  2011-03-03       Impact factor: 91.245

2.  Ontology-driven indexing of public datasets for translational bioinformatics.

Authors:  Nigam H Shah; Clement Jonquet; Annie P Chiang; Atul J Butte; Rong Chen; Mark A Musen
Journal:  BMC Bioinformatics       Date:  2009-02-05       Impact factor: 3.169

  2 in total
  4 in total

1.  Quality of MBSAQIP data: bad luck, or lack of QA plan?

Authors:  K Noyes; A A Myneni; S D Schwaitzberg; A B Hoffman
Journal:  Surg Endosc       Date:  2019-06-12       Impact factor: 4.584

2.  The Multiple Sclerosis Data Alliance Catalogue: Enabling Web-Based Discovery of Metadata from Real-World Multiple Sclerosis Data Sources.

Authors:  Lotte Geys; Tina Parciak; Ashkan Pirmani; Robert McBurney; Hollie Schmidt; Tanja Malbaša; Tjalf Ziemssen; Arnfin Bergmann; Juan I Rojas; Edgardo Cristiano; Juan Antonio García-Merino; Óscar Fernández; Jens Kuhle; Claudio Gobbi; Amber Delmas; Steve Simpson-Yap; Nupur Nag; Bassem Yamout; Nina Steinemann; Pierrette Seeldrayers; Bénédicte Dubois; Ingrid van der Mei; Alexander Stahmann; Jelena Drulovic; Tatjana Pekmezovic; Waldemar Brola; Mar Tintore; Nynke Kalkers; Rumen Ivanov; Magd Zakaria; Maged Abdel Naseer; Wim Van Hecke; Nikolaos Grigoriadis; Marina Boziki; Adriana Carra; Mikolaj A Pawlak; Ruth Dobson; Kerstin Hellwig; Arlene Gallagher; Letizia Leocani; Gloria Dalla Costa; Nise Alessandra de Carvalho Sousa; Bart Van Wijmeersch; Liesbet M Peeters
Journal:  Int J MS Care       Date:  2021-12-29

3.  Comparative Analysis and Data Provenance for 1,113 Bacterial Genome Assemblies.

Authors:  David A Yarmosh; Juan G Lopera; Nikhita P Puthuveetil; Patrick Ford Combs; Amy L Reese; Corina Tabron; Amanda E Pierola; James Duncan; Samuel R Greenfield; Robert Marlow; Stephen King; Marco A Riojas; John Bagnoli; Briana Benton; Jonathan L Jacobs
Journal:  mSphere       Date:  2022-05-02       Impact factor: 5.029

4.  Challenges with organization, discoverability and access in Canadian open health data repositories.

Authors:  Gail M Thornton; Ali Shiri
Journal:  J Can Health Libr Assoc       Date:  2021-04-02
  4 in total

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