Transparency and reproducibility of experimental data is a serious problem of present-day publications. There is a huge number of community-based initiatives that propose guidelines for reporting experimental data that should allow reveiwers and readers to interpret and re-analyze published data. However, reading or even following guidelines seems to be not very attractive; it burdens the authors additional labour virtually without benefit.
So, what if a web-based software tool would be provided that support authors to check whether their data comply with reporting guidelines which are
commonly accepted and even recommended by journals? This tool would require the input of minimum information about your experiment that aims to characterize a given enzyme. Major requirement is to keep this additional burden of data input as low as possible.
The benefits?Just to name a few:
- automatic clear statement whether the data reported in the manuscript are compliant with guidelines and support to improve the manuscript accordingly;
- making research data transparent and reproducible, in brief: usable.
- data sheet that can be submitted as supporting information which helps reviewers to interpret data;
- contribution to a free enzyme kinetics database that provides experimental results along with information about assays' methodologies and conditions.
The project: In order to gain a clearer view on the idea, please have a look at STRENDA DB.
https://www.beilstein-strenda-db.org/strenda/
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