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Research data management practices of emerging researchers at a South African research council

Dissertation (MIS)--University of Pretoria, 2016.

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Other Authors: Bothma, T.J.D. (Theodorus Jan Daniel)
Format: Thesis
Language:English
Published: University of Pretoria 2017
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access_status_str Open Access
author2 Bothma, T.J.D. (Theodorus Jan Daniel)
author_browse Bothma, T.J.D. (Theodorus Jan Daniel)
author_facet Bothma, T.J.D. (Theodorus Jan Daniel)
collection Thesis
dc_rights_str_mv © 2017 University of Pretoria. All rights reserved. The copyright in this work vests in the University of Pretoria. No part of this work may be reproduced or transmitted in any form or by any means, without the prior written permission of the University of Pretoria.
description Dissertation (MIS)--University of Pretoria, 2016.
format Thesis
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institution University of Pretoria (South Africa)
language English
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license_str Other — see source repository
provenance_str_mv Harvested via OAI-PMH from UPSpace — University of Pretoria Institutional Repository
publishDate 2017
publishDateRange 2017
publishDateSort 2017
publisher University of Pretoria
publisherStr University of Pretoria
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source_str UPSpace — University of Pretoria Institutional Repository
spelling oai:repository.up.ac.za:2263/59502 Research data management practices of emerging researchers at a South African research council Bothma, T.J.D. (Theodorus Jan Daniel) Van Deventer, Martie Patterton, Louise Hilda Research data management (RDM) Data management services Research data Research practices UCTD Engineering, built environment and information technology theses SDG-09 SDG-09: Industry, innovation and infrastructure Dissertation (MIS)--University of Pretoria, 2016. Management of research data is globally being seen as part of good research practice. As a result of this, funders are increasingly insisting on proof of good research data management (RDM) practices when funding proposals are submitted. This study aimed at establishing the data management practices of emerging researchers at the Council for Scientific and Industrial Research (CSIR), South Africa. With no official RDM procedures currently being implemented at the CSIR, it was hoped that by gaining information about the RDM practices of emerging CSIR researchers, as well as insight into the RDM challenges experienced by them, this researcher would be able to put forward recommendations enabling the establishing of an RDM regime at the CSIR. The study aimed at answering several research questions. The main research question was: How can an organisation like the CSIR ensure that future researchers apply best practices when managing the CSIR’s research data? Five research sub-questions were identified: 1. What are the international RDM requirements, standards, best practices and expectations that are being developed? 2. What data practices need more formalised support: at CSIR, nationally, internationally? 3. What data are collected and held by emerging researchers in the CSIR? 4. What are the current RDM practices and themes among emerging researchers in the CSIR? 5. What are the RDM-related challenges, issues and concerns facing emerging researchers at the CSIR? A total of 48 emerging researchers from the Council for Scientific and Industrial Research (CSIR), South Africa completed an online survey investigating their RDM practices. RDM practices investigated included the use of data management plans, data storage and backup locations, creation of metadata, metadata standard adherence, and data sharing practices. Challenges faced when managing research data, as well as RDM needs and requirements, also formed part of the survey. Results of the online questionnaire revealed that the RDM practices of the group studied do not show to differ significantly from experienced CSIR researchers, or from researchers studied elsewhere on the globe. Findings enabled this researcher to put forward several recommendations which would assist in the implementing of a formalised RDM structure at the CSIR. Recommendations addressed, but were not limited to: formalization of RDM procedures, RDM marketing, and RDM training. Information Science MIS Unrestricted 2017-03-22T07:32:02Z 2017-03-22T07:32:02Z 2017-05-05 2016 Dissertation Patterton, LH 2016, Research data management practices of emerging researchers at a South African research council, MIS Dissertation, University of Pretoria, Pretoria, viewed yymmdd <http://hdl.handle.net/2263/59502> A2017 http://hdl.handle.net/2263/59502 en © 2017 University of Pretoria. All rights reserved. The copyright in this work vests in the University of Pretoria. No part of this work may be reproduced or transmitted in any form or by any means, without the prior written permission of the University of Pretoria. application/pdf University of Pretoria
spellingShingle Research data management (RDM)
Data management services
Research data
Research practices
UCTD
Engineering, built environment and information technology theses SDG-09
SDG-09: Industry, innovation and infrastructure
Research data management practices of emerging researchers at a South African research council
title Research data management practices of emerging researchers at a South African research council
title_full Research data management practices of emerging researchers at a South African research council
title_fullStr Research data management practices of emerging researchers at a South African research council
title_full_unstemmed Research data management practices of emerging researchers at a South African research council
title_short Research data management practices of emerging researchers at a South African research council
title_sort research data management practices of emerging researchers at a south african research council
topic Research data management (RDM)
Data management services
Research data
Research practices
UCTD
Engineering, built environment and information technology theses SDG-09
SDG-09: Industry, innovation and infrastructure
url http://hdl.handle.net/2263/59502