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About This repository contains the slides for the How to publish FAIR research outputs session of the 2023 AIM RSF Conference, which was organised by the AI for Multiple Long-term Conditions Research Support Facility (AIM RSF) on 26 and 27 April 2023 in Birmingham, UK. Learning objectives ✅ To expand the definition of “research outputs” ✅ To define the FAIR principles ✅ To explain how to choose a repository ✅ To demonstrate how to use a repository for archiving research outputs These slides are partly based on the slides used for a workshop on FAIR and Frictionless workflows for tabular data. The images folder includes visualisation created by Scriberia for the Turing Way for convenience. If you would like to reuse any of these visualisations, please refer to the Zenodo repository where they are archived. This work is licensed under a Creative Commons Attribution 4.0 International License. The AIM RSF is funded by the NIHR Artificial Intelligence for Multiple Long-Term Conditions (AIM) programme (NIHR202647).
reproducibility, FAIR, MLTC, Open Science, AI, AIM Conference 2023, AI-mltc, FAIR
reproducibility, FAIR, MLTC, Open Science, AI, AIM Conference 2023, AI-mltc, FAIR
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
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