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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 purpose, a toolbox is developed, providing information to researchers who wish to share or use sensitive data. The authors developed a categorisation system designed to support consistent labelling and categorisation of the resources stored in the toolboxin terms most relevant to data sharing tasks and activities, so that they are available to users (e.g., as on screen filters) when searching the system. The poster describes the methods and main results of a pilot study set to evaluate the proposed categorisation system for the toolbox resources with respect to applicability, reliability, sustainability and consistency. The primary objective of the pilot study was to identify the main improvements that are necessary to arrive at an inter-community, well understood and commonly approved categorisation system.

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 toolbox enables researchers to find existing resources that are relevant for sharing sensitive data across life-science research infrastructures (F in FAIR). The toolbox is based upon a tagging (categorisation) system, allowing consistent labelling and categorisation of resources dealing with sensitive data. A first version of the tagging system was provided and tested in a pilot study, where 110 resources were tagged by 12 experts from 6 research infrastructures. Based on the feedback from this study, version 2 was developed and a re-tagging of the 110 resources was performed. The feedback from this 2nd study was used to further improve the categorisation system. In this document version 3 is presented with 65 tags spread over 7 dimensions: sensitive data type, resource type, research field, data type, stage in data sharing life cycle, geographical scope and specific topics.

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.

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 being developed, providing information to researchers who wish to share and/or use sensitive data in a cloud environment in general, and the European Open Science Cloud in particular. 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 will provide links to recommendations, procedures, and best practices, as well as to software (tools) to support data sharing and reuse. It will be based upon a tagging (categorisation) system, allowing consistent labelling and categorisation of resources. The current design document provides an outline for the anticipated toolbox, as well as its basic principles regarding content and sustainability.

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 will provide links to recommendations, procedures, and best practices, as well as to software (tools) to support data sharing and reuse. It will be based upon a tagging (categorisation) system, allowing consistent labelling and categorisation of resources, in terms most relevant to data sharing tasks and activities and referring to 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). In this document the categorisation system is described and applied to examples. It is planned to evaluate the categorisation system within EOSC-Life in a larger pilot study.

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 purpose, a toolbox is developed, providing information to researchers who wish to share or use sensitive data. An essential component of this toolbox will be a knowledge base of categorised (tagged) resources linked to sensitive data sharing in the research areas of EOSC-Life. The categories are designed to support consistent labelling and categorisation of the stored resources, in terms most relevant to data sharing tasks and activities, so that they are available to users (e.g., as on screen filters) when searching the system. Objective of the pilot study is to evaluate the applicability and appropriateness of the categorisation system, as well as the coverage of the different research areas involved in EOSC-Life. Six research infrastructures will participate in the pilot study. Three infrastructures (BBMRI, EATRIS, ECRIN) will each nominate two experts who will independently assess 25 self-selected resources. The same procedure will be applied by the other infrastructures (EMBRC, ERINHA and Euro-BioImaging) for 10 self-selected resources. The assessments will be documented per infrastructure and a summary statistics of agreements and disagreements between experts will be provided. The results will be used as a basis for an improvement and update of the categorisation system., Study protocol

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 being developed, providing information to researchers who wish to share and/or use sensitive data in a cloud environment in general, and the European Open Science Cloud in particular. 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 will provide links to recommendations, procedures, and best practices, as well as to software (tools) to support data sharing and reuse. It will be based upon a tagging (categorisation) system, allowing consistent labelling and categorisation of resources. The current design document provides an outline for the anticipated toolbox, as well as its basic principles regarding content and sustainability.