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Life is not FAIR but your software could be

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Research funders and universities are supporting the move towards research outputs being available to increase reproducibility and transparency in reuse. The FAIR principles for data outline 15 key requirements that aim to improve the findability, accessibility, interoperability and reusability of digital research objects for both humans and machines. These have recently been adapted for software1. In this talk Dr Lauren Cadwallader will talk about how the Research Data Management Facility is supporting the adoption of FAIR principles and how we still have much to learn about supporting software sharing and preservation.

[1] Lamprecht et al. (2019) Towards FAIR principles for research software. Data Science www.doi.org/10.3233/DS-190026

This talk is part of the RSE Seminars series.

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