Della Corte D, Colsman W, Fessenmayr H, Sawczuk da Silva A, Vanderwall DE. Self-reporting data assets and their representation in the pharmaceutical industry.
Drug Discov Today 2021;
27:207-214. [PMID:
34332096 DOI:
10.1016/j.drudis.2021.07.019]
[Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/07/2021] [Revised: 07/02/2021] [Accepted: 07/19/2021] [Indexed: 11/19/2022]
Abstract
Standardizing data is crucial for preserving and exchanging scientific information. In particular, recording the context in which data were created ensures that information remains findable, accessible, interoperable, and reusable. Here, we introduce the concept of self-reporting data assets (SRDAs), which preserve data and contextual information. SRDAs are an abstract concept, which requires a suitable data format for implementation. Four promising data formats or languages are popularly used to represent data in pharma: JCAMP-DX, JSON, AnIML, and, more recently, the Allotrope Data Format (ADF). Here, we evaluate these four options in common use cases within the pharmaceutical industry using multiple criteria. The evaluation shows that ADF is the most suitable format for the implementation of SRDAs.
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