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FAIR Data Reuse – the Path through Data Citation

Data citation already plays an important role in making data findable and accessible, providing persistent and unique identifiers plus metadata on over 16 million data sets. In this paper, we discuss how data citation and its underlying infrastructures, in particular associated metadata, provide an important pathway for enabling FAIR data reuse

2022-11-03T09:58:09+01:00January 1, 2020|Publications|Comments Off on FAIR Data Reuse – the Path through Data Citation

FAIR Computational Workflows

Computational workflows describe the complex multi-step methods that are used for data collection, data preparation, analytics, predictive modelling, and simulation that lead to new data products. This paper argues that FAIR principles for workflows need to address their specific nature in terms of their composition of executable software steps, their provenance, and their development.

2022-11-03T09:58:09+01:00January 1, 2020|Publications|Comments Off on FAIR Computational Workflows
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