The importance of tools in the data lifecycle

Abstract

Purpose – This paper aims to outline principal implications for institutions, particularly universities, in supporting the increasingly complex tools which are used in the data lifecycle. Design/methodology/approach – The discussion paper draws upon the experience of authors in this domain at the institutional, national and international levels. Findings – Support for research tools by universities has high-level implications, ranging from financial, strategic and compliance through to capacity, capability and connectivity. The large number of existing tools highlights the need to evaluate them against standardised checklists to determine suitability and levels of resources required for support. Librarians and other information professionals need to expand their current support for research tools beyond the discovery phase to the entire data lifecycle. Practical implications – Universities can use this paper to assess their maturity in supporting tools in the data lifecycle. Librarians, in particular, can broaden their knowledge of the various categories of tools which support specific aspects of that lifecycle. Originality/value – While much attention is currently being focused on supporting researchers with their data management requirements, there is a general lack of literature on how to support tools as a critical element in enhancing research outcomes.