How to cite this record FAIRsharing.org: STRENDA DB; STRENDA DB; DOI: https://doi.org/10.25504/FAIRsharing.ekj9zx; Last edited: Nov. 20, 2020, 9:29 a.m.; Last accessed: Jan 17 2021 5:34 a.m.
Publication for citation STRENDA DB: enabling the validation and sharing of enzyme kinetics data Swainston, N., Baici, A., Bakker, B.M., et al.; The FEBS J. ; 2018; 10.1111/febs.14427 ;
Record added: April 19, 2016, 11:01 a.m.
Record updated: Nov. 20, 2020, 9:27 a.m. by The FAIRsharing Team.
Edits to 'https://fairsharing.org/FAIRsharing.ekj9zx' by 'CKettner' at 12:59, 19 Nov 2020 (approved): 'miriam_id' has been modified: Before: None After: 'publications' has been modified: Before: After: STRENDA DB: enabling the validation and sharing of enzyme kinetics data|Swainston, N., Baici, A., Bakker, B.M., et al.|The FEBS J.|2018 Added: STRENDA DB: enabling the validation and sharing of enzyme kinetics data|Swainston, N., Baici, A., Bakker, B.M., et al.|The FEBS J.|2018 Removed:
Edits to 'https://fairsharing.org/FAIRsharing.ekj9zx' by 'CKettner' at 09:21, 22 Dec 2016 (approved): 'description' has been modified: Before: STRENDA DB is an online, freely accessible information storage and search platform for functional enzyme data. The intention is to encourage authors to submit their functional enzyme data along with the experimental assay conditions prior to or during the publication process and to use the data submission form as a tool to check if the manuscript data are in compliance with the STRENDA publication guidelines. These guidelines were developed through extensive interactions with the biochemical community to define the minimum amount of information that should accompany any published enzyme activity data. The aim of the guidelines is to improve the quality of functional enzyme data and to facilitate the scientific community to interpret|evaluate and reproduce enzymology analyses. However|STRENDA aims neither to dictate or control the experimental techniques used in enzymology experiments nor to establish a metric for judging the quality of experimental data. The emphasis is on providing useful and reliable information. After: STRENDA DB is a storage and search platform supported by the Beilstein-Institut that incorporates the STRENDA Guidelines in a user-friendly, web-based system. If you are an author who is preparing a manuscript containing functional enzymology data, STRENDA DB provides you the means to ensure that your data sets are complete and valid before you submit them as part of a publication to a journal. Data entered in the STRENDA DB submission form are automatically checked for compliance with the STRENDA Guidelines; users receive warnings informing them when necessary information is missing. A successful formal compliance is confirmed by the awarding of a STRENDA Registry Number (SRN) and documented in a fact sheet (PDF) containing all input data that can be submitted with the manuscript to the journal. In addition|each dataset is assigned a DOI that allows reference and tracking of the data. The data become publicly available in the database only after the corresponding article has been peer-reviewed and published in a journal. The STRENDA Commission|comprising an international panel of highly-regarded scientists who have wide-ranging expertise in areas such as biochemistry|enzyme nomenclature|bioinformatics|systems biology|modelling|mechanistic enzymology and theoretical biology|has established standards for data reporting in enzymology research. The aim of these STRENDA Guidelines is to improve the quality of data published in the scientific literature and to enable researchers to compare|evaluate|interpret and reproduce experimental research results published in the literature and databases.
Conditions of UseApplies to: Data use
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