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STRENDA DB: enabling the validation and sharing of enzyme kinetics data
Neil Swainston1, Antonio Baici2, Barbara M Bakker3
1Manchester Centre for Synthetic Biology of Fine and Speciality Chemicals, Manchester Institute of Biotechnology, University of Manchester, UK.
The FEBS Journal
|March 3, 2018
Summary
The Standards for Reporting Enzymology Data (STRENDA) DB system validates enzyme function data for publications. This web-based service ensures data completeness and validity before journal submission.
Area of Science:
- Biochemistry
- Enzymology
- Scientific Data Management
Background:
- Enzyme function data reporting requires adherence to specific guidelines.
- Ensuring data accuracy and completeness is crucial for scientific reproducibility.
- Manuscript preparation involves meticulous data validation before publication.
Purpose of the Study:
- To introduce the Standards for Reporting Enzymology Data (STRENDA) DB as a validation and storage system.
- To provide authors with a tool for automated checking of enzymology data sets.
- To facilitate the submission of complete and valid enzyme function data to journals.
Main Methods:
- Development of a web-based service for data entry and validation.
- Incorporation of the STRENDA Guidelines into the validation process.
- Automated checking of enzymology data sets against predefined criteria.
Main Results:
- The STRENDA DB system offers a user-friendly interface for authors.
- Automated validation checks ensure data completeness and adherence to STRENDA Guidelines.
- The system streamlines the process of preparing enzymology data for publication.
Conclusions:
- The STRENDA DB system enhances the quality and reliability of published enzyme function data.
- It simplifies the data validation process for researchers preparing manuscripts.
- Adoption of this system promotes standardized reporting in enzymology.
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