The TUoS Data Stewards Network brings together colleagues from across the University to increase the visibility and recognition of data stewardship.
Network members have access to an online hub containing a wealth of resources tailored to their roles. Regular meetings provide opportunities to connect with peers, share good practices, and receive training that can be shared with their project teams. A dedicated communications channel fosters informal discussions, offering peer support, resource sharing, and collaboration opportunities.
The network also facilitates mapping data stewardship activities across the institution by encouraging members to share details of their roles and responsibilities. This formal articulation of data stewardship ensures recognition for these vital contributions, reinforcing their importance within our research communities.
Data stewardship encompasses a wide range of activities involved in the management of research data.
These include:
Research data management planning
Developing and managing data infrastructure and workflows
Data wrangling, such as data discovery, cleaning, validating, mapping, and mining
Creating policies, protocols, and Standard Operating Procedures (SOPs) for research data management
Data curation and preservation
Generating high-quality metadata for research datasets
Preparing data for publication or onward sharing, adhering to the FAIR principles (Findable, Accessible, Interoperable, and Reusable) to ensure best practices
Delivering training around good data management practices
A data steward is someone who manages research data at various stages of its lifecycle. Their involvement may span the entire process or focus on a specific stage of a project. For some, data stewardship is a core part of their role, while for others, it may be an occasional responsibility.
A useful definition from the Irish Data Stewardship Network, Sonraí, states: “Anyone who interacts with data in a significant way, at any point in the research data lifecycle, is a data steward.” This definition includes staff across research, technical, and professional roles.
Data comes in many forms and refers to any material created, collected, or gathered during research. Examples include spreadsheets, databases, interviews and transcripts, photos, lab notes, field notes, annotated bibliographies, scans, maps, and more.
While some jobs - like Data Librarian, Data Curator, Bioinformatician, or Data Consultant - are primarily focused on stewardship activities, many roles incorporate data stewardship as one aspect of their responsibilities.
If your role involves tasks like those mentioned above, even if they aren’t formalised in your job description; if you often find yourself managing a project’s research data; or if you’re considered the “data person” in your team, you are a data steward.
Are you interested in joining the Network? Please click here to sign up.