The professionals required to work in data science, data librarianship and data management are a new breed for whom the knowledge and skills requirements are just emerging. Academic institutions are putting together courses to address this shortage without fully understanding what the knowledge and skills requirements are for data professionals in different types of organisation types. This paper aims to increase that understanding.Interviews were conducted with 36 currently practicing data professionals and their employers about current knowledge and skills requirements. Participants were purposefully selected to achieve a cross section of data roles and employing institutions and interviews ceased once saturation was achieved.Two types of coding were employed: initial coding to establish categories, followed by more focused coding, for analytical depth. Every effort is made to accurately present the viewpoint of participants. All participants reported the importance of high level communication and personal learning skills and characteristics around curiosity, flexibility and comfort with change. In universities and scientific research organisations the required knowledge and skills are in areas which might be classified as data management and curation; and in business and government organisations, as data science and management. While there are still uncertainties about knowledge and skills requirements and role ambiguities in different data roles in different organisational types, knowledge and skills related to particular roles begin to emerge and are discussed.
Das gemeinsames Förderprogramm des Stifterverbandes und der Heinz Nixdorf Stiftung im Rahmen der Initiative "Future Skills" soll die Vermittlung von Datenkompetenzen an Studierende aller Fächer stärken. Es werden insgesamt drei Hochschulen mit bis zu 250.000 Euro gefördert.
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<em>Choosing & Using Sources</em> presents a process for academic research and writing, from formulating your research question to selecting good information and using it effectively in your research assignments. <br /><!--<br /><small><a href="back-matter/additional-formats/">❱❱❱ View additional formats of this book.</a></small><br /><small><a href="part/search/">❱❱❱ Search inside this book.</a></small>-->
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Applied epistemology allows information studies to benefit from developments in philosophy. In information studies, epistemic concepts are rarely considered in detail. This paper offers a review of several epistemic concepts, focusing on understanding, as a call for further work in applied epistemology in information studies. A hermeneutic literature review was conducted on epistemic concepts in information studies and philosophy. Relevant research was retrieved and reviewed iteratively as the research area was refined. A conceptual analysis was conducted to determine the nature and relationships of the concepts surveyed, with an eye toward synthesizing conceptualizations of understanding and opening future research directions. The epistemic aim of understanding is emerging as a key research frontier for information studies. Two modes of understanding (hermeneutic and epistemological) were brought into a common framework. Research on the concept of understanding in information studies will further naturalistic information research and provide coherence to several strands of philosophic thought.
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This edition of Keeping Up With... was written by Elizabeth Boden. Elizabeth Boden is a MSLIS Candidate and Graduate Assistant at the University of Illinois Urbana-Champaign, email: lizzy.boden@gmail.com.