Data Management: Knowledge and skills required in research, scientific and technical organisations
KENNAN, Mary Anne (2016) Data Management: Knowledge and skills required in research, scientific and technical organisations. Paper presented at: IFLA WLIC 2016 – Columbus, OH – Connections. Collaboration. Community in Session 221 - Science and Technology.
Data Management: Knowledge and skills required in research, scientific and technical organisationsThe purpose of this paper is to investigate the knowledge and skill requirements for people working in the data management space in universities and scientific research organisations. In order to do so 25 data professionals in universities and scientific research organisations were interviewed. The most common set of skills required were interpersonal skills and related personal characteristics, closely followed by data specific knowledge and skills, including broad understanding of data types, metadata, and legal and regulatory frameworks. Contextual knowledge, knowledge of appropriate information technologies and training and advocacy skills were also highly sought after. Few current data professionals had a data specific qualification, most had learned “on the job” and through targeted professional development such as workshops, webinars and in house training. This paper presents information specific to data professionals in context and will enable educators understand the professional context and therefore to more effectively plan appropriate forms of delivery.
|Item Type:||Conference or Workshop Item (Paper)|
|Conference details:||IFLA WLIC 2016 – Columbus, OH – Connections. Collaboration. Community
Session 221 - Role of libraries and librarians in scientific and technological data management and archiving - Science and Technology
|Divisions:||Division 1 Library Types > Science and Technology Libraries Section|
|Uncontrolled Keywords:||Education & training, knowledge and skill requirements for curriculum development; professional development requirements reported by data management professionals|
|Date Deposited:||19 Jul 2016 09:07|
|Last Modified:||19 Jul 2016 09:07|
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