Data Management Plans: Considering the FAIR and CARE Principles

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  • Опубликовано: 22 окт 2024
  • Abstract:
    This presentation will comment on the importance of data management plans in supporting the management of data created by a research project. It will describe how the FAIR and CARE principles can be applied and used within a data management plan. Discussion on why FAIR and CARE should be considered for the management of data will be presented.
    A data management plan is a document that allows you to record intended and expected details related to the data that will arise from your research project. A data management plan is a living document for a research project, which outlines data creation, data policies, access and ownership rules, management practices, management facilities and equipment, and who will be responsible for what. Nowadays they are seen as a mandatory component when embarking on a research project.
    FAIR is a principles approach to data management. It promotes elements to help ensure good data management. Researchers spend considerable time, money and effort collecting and interrogating data. Making your data findable, accessible, interoperable and reusable (FAIR) maximises the impact of that investment, including gaining more citations for your data sets.
    The CARE principles describe how data should be treated to ensure that Indigenous governance over the data and its use are respected. The CARE principles reflect the crucial role of data in advancing Indigenous innovation and self-determination. They ensure that data movements like the open data movement respect the people and purpose behind the data. FAIR and CARE are two components of data management that should be considered and mentioned when creating a data management plan.
    Dr Robin Burgess:
    Robin Burgess is the Manager of the Engagements Team at the ARDC (Australian Research Data Commons). He has a strong background and real interest in all aspects of research data management, particularly planning, publishing, governance and of course the application of the FAIR and CARE principles.
    Robin has a PhD in Biosciences where he focused on data management techniques and a love of arts related data having worked at the Glasgow School of Art for 6 years. Robin moved to Sydney 8 years ago taking up roles as a Repository and Digitisation Manager at Sydney University, followed by a Senior Research Data Librarian at UNSW. Robin’s passion and interest in data and its management continues to grow in his role at the ARDC.
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