CREDIT is a cloud-enabled SaaS tool for data management to provide an opportunity to authors to register their Additional Research Outputs(AROs) reflecting RAW, REPEAT & NULL/NEGATIVE entities generated at various stages of research workflow to ensure their reusability & gaining credit. Hence contributing towards enriching research articles & reproducible science. CREDIT framework & interface is developed on FAIR data principles. The generated AROs are segregated into the following categories:
- RAW Data
Includes detailed methods, protocols, troubleshooting steps and also the unprocessed preliminary raw data files underlying the results that were shown in the main article. Reflecting the efforts/practices put in by authors to derive the results and analysis leading to seminal findings - this would ensure that the data are Re-usable and reproducible.
- REPEAT Data
Includes the unprocessed data/observations retrieved while repeating the experiments(replications) - This would ensure that the preliminary data points are reproducible and aids in enhancing the article’s authenticity and also ensures to rule-out any Scientific frauds/misconducts. It also reflects best research practices put forward by authors.
- NULL/NEGATIVE Data
It includes the experiments & observations that author has obtained during the course of research study not complementing the main hypothesis. Gives authors an opportunity to disclose any null/negative data points which they have generated - Which might save resources/time of other researchers, also provides a way to recognise additional scholarly outputs and gives funders an insight on broader spectrum of the study.