name: inverse layout: true class: center, middle, inverse <div class="my-header"><span> <a href="/archive/2021-12-01/topics/data-management" title="Return to topic page" ><i class="fa fa-level-up" aria-hidden="true"></i></a> <a class="nav-link" href="https://github.com/galaxyproject/training-material/edit/2021-12-01/topics/data-management/tutorials/0114_data-stewardship/slides.html"><i class="fa fa-pencil" aria-hidden="true"></i></a> <img src="/archive/2021-12-01//assets/images/elixir-uk.png" alt="page logo" class="slide-logo"/> </span></div> <div class="my-footer"><span> </span></div> ---  ## What is Data Stewardship? <div class="footnote" style="bottom: 3em;">Updated: Nov 23, 2021</div> ??? Presenter notes contain extra information which might be useful if you intend to use these slides for teaching. Press `P` again to switch presenter notes off Press `C` to create a new window where the same presentation will be displayed. This window is linked to the main window. Changing slides on one will cause the slide to change on the other. Useful when presenting. --- ## Learning Objectives and Notes - To be familiar with the term Data Stewardship - To be able to understand the different Data Stewardship roles in the Life Sciences ??? - In this RDMbite we define Data Stewardship and the role of the Data Steward in the Life Sciences. - We will also define the 3 broad areas of Data Stewardship. --- ## What is Data Stewardship? .pull-left[ Data Stewardship includes all activities necessary to ensure research data are FAIR (<span style="color:rgb(241, 160, 8)">F</span>indable, <span style="color:rgb(241, 160, 8)">A</span>ccessible, <span style="color:rgb(241, 160, 8)">I</span>nteroperable, <span style="color:rgb(241, 160, 8)">R</span>eusable). These activities include all 7 spokes of the Data Life Cycle (Plan, Collect, Process, Analyse, Preserve, Share, Reuse) ] .pull-right[.image-75[<img src="../../images/0114/lifecycle.png" alt="Image of the data lifecycle. " loading="lazy">]] ??? - So what is Data Stewardship? - Data Stewardship is a term used to mean the management of data. Data Stewardship includes things like data accessibility and usability, so people can take data and trust and use it easily and safely. - You may have heard of the term FAIR data which deals with these principles. - The requirement for effective Data Stewardship has grown in the Life Sciences. This is because people now work with large and complex and sensitive datasets. - Growth in Data Stewardship accompanies the professionalisation of the Data Stewardship role in the Life Sciences, where this role often acts as a single point of contact for people within an organization. - This role is advisory and is able to help people manage their data better. Commonly this role is performed by bioinformaticians or data savvy researchers, and IT and facility support staff. --- ## What are the Three Data Steward Roles? **Data Steward: Policy** Research data management (RDM) policy and strategy for an institution. **Data Stewards: Infrastructure** Infrastructure building, such as building IT data storage, to support RDM policy and practice. **Data Stewards: Research (including researchers)** RDM planning, support and implementation on the ground. ??? - Data Stewardship in the Life Sciences falls into three categories though it could be argued that there are four if we include data savvy researchers performing Data Stewardship as part of their research. - So what are these 3 categories? - In policy, Data Stewards work at the level of developing, implementing and monitoring research data management policy within an institution. These Data Stewards work closely with researchers and support staff as well as finance and legal teams. - In Infrastructure, Data Stewards are usually IT support staff. They maintain research infrastructure such as secure storage and tools enabling reproducible research such as analysis workflow and pipelines. - Lastly Data Stewards in Research cover a spectrum of professionals within a department or institute, from fulltime staff dedicated to FAIR Data Stewardship or more commonly a go-to person in the department who advises on good data management practice. --- ## Professionalisation of Data Stewardship .pull-left[ Role Profiles <img src="../../images/0114/rdmkit.png" alt="RDMKit Logo. " loading="lazy"> ] .pull-right[ Competency Frameworks <img src="../../images/0114/npos.png" alt="National Programme Open Science Logo. " loading="lazy"> ] ??? - Professionalisation of Data Stewardship is an evolving process. - Role profiles and competency frameworks enable institutions to recruit and embed Data Stewards into daily research. These can be found on the ELIXIR RDMkit website and the EBI Competency Hub. --- .reduce90[ ELIXIR-UK brings you this RDMbite, funded by the UKRI and using infrastructure written by the Galaxy Training Network ]  <div class="contributors-line"> <a href="/archive/2021-12-01/hall-of-fame/robertmand/" class="contributor-badge contributor-robertmand"><img src="https://avatars.githubusercontent.com/robertmand?s=27" alt="Avatar">Robert Andrews</a> <a href="/archive/2021-12-01/hall-of-fame/bfranicevic/" class="contributor-badge contributor-bfranicevic"><img src="https://avatars.githubusercontent.com/bfranicevic?s=27" alt="Avatar">Branka Franicevic</a> <a href="/archive/2021-12-01/hall-of-fame/saramorsy/" class="contributor-badge contributor-saramorsy"><img src="https://avatars.githubusercontent.com/saramorsy?s=27" alt="Avatar">Sara Morsy</a> <a href="/archive/2021-12-01/hall-of-fame/kpoterlowicz/" class="contributor-badge contributor-kpoterlowicz"><img src="https://avatars.githubusercontent.com/kpoterlowicz?s=27" alt="Avatar">Krzysztof Poterlowicz</a> </div> .reduce90[ <a rel="license" href="https://creativecommons.org/licenses/by/4.0/"> This material is licensed under the Creative Commons Attribution 4.0 International License</a>. ]