Strenda DB
Repository for Reporting Enzymology Data
- Accepted data types: Currently none, EnzymeML (in development)
- Used standards/ontologies: DataCite, InChI, EnzymeML (in development)
- Data deposition condition: open
- Recommended by Journals/Societies: Archives in Biochemistry and Biophysics, Beilstein Journal of Organic Chemistry, eLife, Molecular Catalysis, Nature (including Biotechnology, Chemistry, Microbiology, Pharmacology, Systems Biology), PLoS (relevant journals, e.g. One, Biology, Computational Biology, Medicine), Scientific Data, The Journal of Biological Chemistry, recommended by Angewandte Chemie and further Wiley journals.
STRENDA DB is a field-specific repository for enzymology data operated since 2016 and hosted at Beilstein Institute (BI) Frankfurt. It ensures that datasets are complete and valid before scientists submit them as part of a publication. Their target audience is biochemists, systems biologists, biocatalysts in the fields of life sciences, biological, molecular, and food chemists. The typical data contained in this repository consists of functional enzymology data (kinetic and experimental data) from manuscripts and publications. Data entered in the STRENDA DB are automatically checked (according to STRENDA Guidelines and a PDF fact sheet with submittable input data), allowing users to receive notifications for necessary but missing information. Currently, more than 55 international biochemistry journals already include the STRENDA guidelines in their instructions for authors. DOI is used as the identification system for citations and ORCID iD as the identification system for authors. Data viewing is possible via open access and data contribution is possible after a required registration where the current AAI is provided through an internal user administration (user, administrator).
Main authors: ORCID:0000-0002-8697-6842, ORCID:0000-0001-7696-7662, ORCID:0000-0003-4480-8661 and ORCID:0000-0002-5035-7978