Data governance, data literacy and the management of data quality

What is it about?

Data governance and data literacy are two important building blocks in the knowledge base of information professionals, involved in supporting data-intensive research, and both address data quality and research data management. Applying data governance to research data management processes and data literacy education helps in delineating decision domains and defining accountability for decision making. Adopting data governance is advantageous, because it is a service based on standardised, repeatable processes and is designed to enable the transparency of data-related processes and cost reduction.

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Why is it important?

Data intensive science and the openness of research data has become a hot topic that reflects the views of varied stakeholders, including academic libraries. The body of literature on managing data in the business world and in libraries is already substantial. Data literacy received attention mainly in the latter environment, while data quality is universally recognised as crucial.