The evolution of data workforce requirements in science and engineering libraries

As data-intensive science has emerged, researchers are expected to discover, collect, process, analyze, archive, and share data in their everyday lives and the need for developing proficiency with research data has been recognized. It has been asserted that information professionals in the fields of science and engineering who have supported researchers through a variety of activities are well positioned to assist and meet such needs. This study applied a text mining approach to investigate changes in the requirements for information professionals in science and engineering, with a particular focus on duties and responsibilities to support research data stewardship. Position advertisements posted in the Association of College & Research Libraries’ Science and Technology Section Discussion List from 2010 to 2014 were collected and analyzed