H3ABioNet provides guidelines on data management and governance

    Data Governance

    What is Data Governance?

    Data governance is about determining and formalising a framework for how to organise and control data.  In genomic research this is highly important and impacts almost all areas of decision making when setting up and running a study.
    Good data governance will take a number of areas into consideration when establishing how to go about collecting, storing, analysing and distributing data:
    • Ethics & Consent
    • Legislation
    • Data access
    • Sustainability
    Data Governance Index Card Presentation - Nicola Tiffin
    Framework for Data Governance and Ethical Data Use - Nicola Tiffin

    Some questions that would be addressed when thinking about good data governance would be:
    • What legislation is in place that impacts my research data?
    • Would I be happy with the way my data is managed as a study participant?
    • How do I keep the data safe?
    • What computing infrastructure do I need?
    • How should I build a clinical database?
    • How should my data be stored and for how long?
    • How should I standardise my data?
    • How do I optimise my research output?
    • What measures do I need to put in place to ensure high data quality?
    • How can I make my data FAIR?
    © 2021 H3ABioNet.org
    Terms - Privacy - Policy & Safety - Helpdesk
    The H3ABioNet website content is solely the responsibility of the authors and does not necessarily represent the official views of the National Institute of Health