Towards a community-endorsed data steward description for lifesciences Mijke Jetten1, Inge Slouwerhof1, Salome Scholtens2, Jasmin Böhmer3, Marije van der Geest2, Christine Staiger4 & Celia W.G. van Gelder4 (1) Radboud University, (2) UMC Groningen, (3) UMC Utrecht, (4) DTL (Dutch Techcentre for Life Sciences)/ELIXIR-Netherlands Contact: Mijke Jetten, m.jetten@ubn.ru.nl Background 1 Responsibilities examples of activities/tasks Results • Embed data steward roles and competencies in a formal function proﬁ le including function levels (junior, senior), and add formal job evaluation and grading • Add discipline-speciﬁ c knowledge, skills and abilities to the function description • Develop a self-assessment tool for data stewards to assess responsibilities, tasks and competencies, combined with navigating directions to training and materials • Use the matrices and the (self-)assessment tool to assess data stewardship roles in organisations • Develop certiﬁ ed training for data stewards T e project originally focused on the lifesciences. However, the outcomes show to be relevant for other domains as well. Starting September 2019, the project will be continued in a one year NPOS (National Platform Open Science, the Netherlands) funded project on professionalising training in open science and data stewardship. T is ZonMw project (Aug. '18 - Sept. '19) has delivered a function description for three data steward roles: policy, research and infrastructure. For each data steward role, competence areas with tasks were deﬁ ned, i.e. 1) policy/strategy, 2) compliance, 3) alignment with FAIR, 4) services, 5) infrastructure, 6) knowledge management, 7) network, and 8) data archiving. Table 1 shows a section of the matrices (full version via Zenodo). Tasks were translated into learning objectives based on Bloom (example shown in table 2). In two workshops (June '19) with Dutch data stewards (± 60 participants), existing and desired training was mapped. T ese mappings are included in the ﬁ nal report. Policy/strategy Responsible for advice on and development, implementation and monitoring of a RDM policy and strategy for the research institute, which includes the complete research data life cycle and supports FAIR data and Open Science, in alignment with the relevant stakeholders and within ﬁ nancial and legal constraints, within the institute and in the context of the institute. T e policy is the basis for (project) DMPs. Responsibility Compliance Skill/ability - Translate RDM policy and legislation and codes of conduct with regard to research data to practical implications and guidelines that researchers can understand. Learning objectives - List relevant legislation, ethical principles, and codes of conduct for RDM (remembering). - Examine and list the practical implications of legislation, ethical principles, and codes of con- duct with regard to research data (analysing). - Translate RDM policy and legislation, ethical principles, and codes of conduct with regard to research data to researchers (applying). - Create guidelines and procedures based on legislations, ethical principles, and codes of con- duct with regard to research data (creating). • Develops, implements and monitors the institute's RDM policy. • Advises the institute's management on short- and long-term actions to advance RDM in the institute. • Assesses and monitors the institute's time and ﬁ nancial investments in relation to the institute's needs for RDM. • Explores new needs, opportunities and trends in RDM. This project is funded by the ZonMw Personalised Medicine Programme under dossier number: 80-84600-98-3007. Compliance Responsible for compliance of the RDM policy to the Netherlands Code of Conduct for Academic Practice, the Netherlands Code of Conduct for Research Integrity and the General Data Protection Regulation (GDPR), as well as continuous alignment with legal and ethical standards. • Ensures compatibility of the RDM policy and monitors compliance. • Contacts