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The Horizon 2020 project EOSC-Life brings together the 13 Life Science ‘ESFRI’ research infrastructures to create an open, digital and collaborative space for biological and medical research. Sharing sensitive data is a specific challenge within EOSC-Life. For that reason, a toolbox is developed, providing information to researchers who wish to share sensitive data or to use sensitive data. The sensitivity of the data may arise from its personal nature but can also be caused by intellectual property considerations, biohazard concerns, or the Nagoya protocol. The toolbox will not create new content, instead, it will allow researchers to find existing resources that are relevant for sharing sensitive data across all participating research infrastructures (F in FAIR). The toolbox is based upon a tagging (categorisation) system, allowing consistent labelling and categorisation of resources, in terms most relevant to data sharing tasks and activities in the Life Sciences. A first version of the tagging system was provided (version 1), covering 8 dimensions (resource type, research field, research design, data type, stage in data sharing life cycle, geographical scope, specific topics or keywords and targeted group) and evaluated in a pilot study, generating major feedback for improvement of the categorisation system. Consequently, an updated version (version 2) of the categorisation system was provided with 55 tags spread over 6 dimensions, which is described in this report.
life sciences, sensitive data, categorisation, data sharing, toolbox, tags, EOSC-Life
life sciences, sensitive data, categorisation, data sharing, toolbox, tags, EOSC-Life
| 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). | 1 | |
| 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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