Repositories in Profile – STRENDA DB

For chemists, it is crucial to know the advantages of different data repositories in order to find the best fit for their research data requirements. Here, we provide a brief overview of STRENDA DB as part of our series “repositories in profile”.

STRENDA DB – Standards for Reporting Enzymology Data

Figure 1: Screenshot STRENDA DB.

Basic information

❏      Creation date: 2016

❏      Country: DE

❏      Domain: Life Science, Chemistry, Biological and food chemistry, Molecular Chemistry

❏      Usage: Open Access (data view), registration required (data contribution)

❏      Target group: Biochemists, systems biologists, biocatalysts

❏      Number of datasets: 150

❏      Recommended by journals/societies: STRENDA Guidelines by over 55 international biochemistry journals recommended

❏      Listed in: re3data: r3d100012329, FAIRsharing: FAIRsharing.ekj9zx, Wikidata: Q58034053

Functionalities and technical information

❏      Content: Functional enzymology data (kinetic and experimental data)

❏      Content origin: From manuscripts, publications

❏      Searchable content: Enzyme kinetic data along with experimental conditions

❏      Accepted data types: Currently none, EnzymeML (in development)

❏      Used standards/ontologies: DataCite, InChI, EnzymeML (in development)

❏      Curation: Via automated data checking based on STRENDA Guidelines, fact sheet 

         (PDF) with submittable input data

❏      Access rights/license information/embargo: Creative Commons Attribution 4.0 International (CC BY 4.0), Term of Use, no embargo

❏      AAI solution: Internal user administration (user, administrator)

❏      Persistent Identifier system: DOI (Digital Object Identifier), PMID (PubMed Identifier)

❏      Authority identifier system: ORCID (Open Researcher and Contributor iD)

❏      Used Software: Oracle database, multilayer architecture

❏      Interfaces: HTML interface (GUI) 

❏      Further functionalities/tools: Automated plausibility and quality check/peer review