Moving Towards FAIR Data Practices in Pharmacy Education

Jacqueline E. McLaughlin, Alexander Tropsha, Joseph A. Nicolazzo, Anita Crescenzi, Kim L.R. Brouwer

Research output: Contribution to journalComment / DebateOtherpeer-review


Pharmacy schools are generating significant amounts of data across the training continuum, including data about student selection, performance, and job placement. However, current data practices limit the Academy’s ability to effectively leverage the vast amounts of data available within and across pharmacy institutions. To improve data practices and promote the quality and reusability of data, a set of guiding principles for data management and stewardship were developed and published in 2016. The FAIR principles state that digital objects should be findable (ie, data have a unique identifier and are registered in a searchable resource), accessible (ie, data are retrievable by their identifier using an open, free, standard-ized protocol), interoperable (ie, data use a formal, accessible, shared, and broadly applicable language, and include qualified references to other data), and reusable (ie, data are described with accurate and relevant attributes, released with a data usage license, and meet domain-relevant community standards). This commentary advocates for improved data practices and provides recommendations for advancing FAIR data principles in pharmacy education.

Original languageEnglish
Article number8670
Pages (from-to)163-166
Number of pages4
JournalAmerican Journal of Pharmaceutical Education
Issue number3
Publication statusPublished - 1 Mar 2022


  • FAIR
  • reproducibility
  • research
  • rigor

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