Implement data management strategies (communicate null results, FAIR data principles, data sharing)

Category: Sports Science (Dry lab)

Level: Silver

Author: Renolds R., Leferink H.

The Impact: <p><span data-sheets-root="1">Reduce risk of lost or unuseable data and reduce need for unneccessary duplicated data across the scientific field and their envrionmental impact and costs.</span></p>

Details

Good data management strategies are essential to ensuring your research is transparent, reliable and sustainable, and are often required by funders. By ensuring your data is well managed, you reduce the likeliness of needing to repeat experiments, which saves not only time and costs but also lowers the environmental impact of your lab activities.

By publishing null results (inconclusive or negative) you add to knowledge in the wider research community that can save resources by avoiding the same experiments being repeated elsewhere. This also applies to ensuring you share your data as it can be used in other studies to implicate their design or boost their data references.

The FAIR guiding principles (Findable, Accessible, Interoperable, and Reusable) give a solid base in ways you should manage and store your data. These not only aid you, in using your data, but also benefit colleagues and collaborators and the wider scientific community. 

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