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Self-reporting data assets and their representation in the pharmaceutical industry
Dennis Della Corte1, Wolfgang Colsman2, Heiko Fessenmayr3
1Department of Physics and Astronomy, Brigham Young University, UT, USA; ZONTAL, Inc, Melbourne, FL, USA.
Drug Discovery Today
|July 31, 2021
Summary
Standardizing scientific data with context is key for reusability. Self-reporting data assets (SRDAs) achieve this, with the Allotrope Data Format (ADF) proving most suitable for implementation.
Area of Science:
- Pharmaceutical data management
- Scientific information standardization
Background:
- Effective data standardization is vital for preserving and exchanging scientific information.
- Recording data creation context enhances findability, accessibility, interoperability, and reusability (FAIR principles).
Purpose of the Study:
- To introduce the concept of self-reporting data assets (SRDAs) for preserving data and contextual information.
- To evaluate the suitability of four popular data formats (JCAMP-DX, JSON, AnIML, ADF) for implementing SRDAs in the pharmaceutical industry.
Main Methods:
- Comparative analysis of JCAMP-DX, JSON, AnIML, and ADF.
- Evaluation based on common use cases within the pharmaceutical sector.
- Assessment using multiple predefined criteria.
Main Results:
- The Allotrope Data Format (ADF) emerged as the most effective format for SRDA implementation.
- ADF demonstrated superior suitability compared to JCAMP-DX, JSON, and AnIML for the evaluated use cases.
Conclusions:
- The Allotrope Data Format (ADF) is the recommended format for realizing self-reporting data assets.
- Implementing SRDAs with ADF can significantly improve data management and FAIRness in pharmaceutical research.
Keywords:
ADFAnIMLData formatData modelFAIR dataJCAMP-DXJSONOntologyPharmaceutical dataScientific dataMore Related Videos
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