Profession Deepening Module: Responsible Data Sharing - Roles, Workflows, and IP–OS Alignment

Core Goal

Data professionals, ideally being part of a part of a multi-professional team (see also guidance on how to establish a multi-professional team and offer consultations on a concerted IP-OS approach), will be equipped to act as first-line advisors in IP-OS implementation—capable of supporting researchers to manage data across the full research lifecycle while balancing Open Science practices with Intellectual Property management, legal, ethical, and security requirements. It highlights practical examples from European institutions, showing how data management plans, cross-functional collaboration, and decision-making tools support responsible data collection, sharing, preservation, and reuse. The session also explains how related roles such as data architects, engineers, managers, curators, and ethicists contribute to a broader research data ecosystem that enables high-quality, interoperable, and reusable data. 

Learning goals

By completing this unit, participants:

• Understand core Intellectual Property and Open Science interactions in data stewardship.
• Can explain the three minimal knowledge valorisation skills in their context.
• Identify one concrete institutional improvement for Open Access compliance that also aligns with knowledge valorisation goals.

The video Responsible Data Sharing - Roles, Workflows, and IP–OS Alignment features IP4OS coordinator Julia Priess-Buchheit, and European data professionals Chiara Basalti, Head of the Coordination Unit for Research Services within the Research Division of the University of Bologna; Clara Boavida, Data Steward based at the Research Support Office of ISCTE – University Institute of Lisbon, Portugal; Daniel Mietchen, Data architect, FIZ Karlsruhe - Leibniz Institute for Information Infrastructure; Department of Mathematics (zbMATH) and German Service Center for Diamond Open Access (SeDOA)