From IFLA Journal
Data intensive science, coupled with mandates for data management plans and open data from research funders, has led to a growing emphasis on research data management both in academia and in academic libraries. The role of the latter is changing, so academic librarians are often integrated in the research process, first of all in the framework of research data services (RDSs). Therefore, it comes as no surprise that supporting data-intensive research is a top trend in academic library work. Both data governance and data literacy are indispensable for managing data quality, thus – by their overarching nature – making use of them is a prerequisite of effective and efficient data management that substantiates research data services. Paying attention to the management of data quality (also taking data governance into consideration) is an important step towards making all our target audiences accept the library’s mission to provide research dataservices and to offer these services to their full satisfaction. Read more…
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 standardized, repeatable processes and is designed to enable the transparency of data-related processes and cost reduction. It is also useful, because it refers to rules, policies, standards; decision rights; accountabilities and methods of enforcement. Therefore, although it received more attention in corporate settings and some of the skills related to it are already possessed by librarians, knowledge on data governance is foundational for research data services, especially as it appears on all levels of research data services, and is applicable to big data.
Data governance, data literacy and the management of data quality
International Federation of Library Associations and Institutions
2016, Vol. 42(4)