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Rec. 13: Professionalise data science and data stewardship roles #13
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The University of Groningen and the UMCG: |
Like @WietskeD I would tend to understand data stewards as possibly being part of research projects in their own field of expertise. |
DFG position: DFG fully supports the recommendation to establish new professions to support data science and data management. It is important not to build only on existing personnel but to provide extra resources to train and recruit a new kind of support staff. |
CSIC together with International University Menendez Pelayo and University of Cantabria is starting the second edition of the Master in Data Science (https://masterdatascience.ifca.es/index_en.html). |
Thumbs up. |
ESO position |
INAF (astronomy) position: |
SSI position: In the UK the idea, support of funders, advocacy, and the formation of an association around the role of Research Software Engineers has received significant traction, and these RSEs should also be recognised as having a significant place in the promotion and support of both FAIR software and FAIR data. Concerted practical effort is need to galvanise a new role in supporting research and this requires conversations with HR functions also and funders. |
EOSCpilot WP7 strongly supports this recommendation. We are launching a consultation next month on our Skills Framework, which recognises that data stewardship is a shared responsibility among researchers, data scientists, and professionals groups that support them including data managers, and data service engineers or research software engineers. We are identifying a minimal set of 'open science stewardship' competences, and will be mapping these to the 4 levels in the European Framework for research careers. Career pathways for the support roles are very desirable. The SSI work to develop this for Research Software Engineers is exemplary. Similar structures should be established for Data Stewards. |
Fully support the further professionalisation of Data Stewardship and Data Science roles to train and support researchers in their research and on research projects. Data scientists and data stewards need to be trained in FAIR Data principles and practices and must be timely employed at institutions. Their contributions to research projects should be recognised and rewarded in their academic careers. |
Steps need to be taken to develop two cohorts of professionals to support FAIR data: data scientists embedded in those research projects which need them, and data stewards who will ensure the management and curation of FAIR data.
Formal career pathways must be implemented to demonstrate the value of these roles and retain such professionalised roles in research teams.
Stakeholders: Institutions; Global coordination fora.
Key data roles need to be recognised and rewarded, in particular, the data scientists who will assist research design and data analysis, visualisation and modelling; and data stewards who will inform the process of data curation and take responsibility for data management.
Stakeholders: Funders; Institutions; Publishers; Research communities.
Professional bodies for these roles should be created and promoted. Accreditation should be developed for training and qualifications for these roles.
Stakeholders: Institutions; Data services; Research communities.
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