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Cited by 12Data Quality and ManagementInformation Technology Governance and StrategyEducational Management and Quality

The DOI matches its Crossref record; 16 of the 17 references it cites were found in a registry or an index.

Data Governance: A Challenge for Merged and Collaborating Institutions in Developing Countries

Open access
Mlangeni, Thandi Charmaine, Ruhode, Ephias·2017·IFIP Advances in Information and Communication Technology
DOI 10.1007/978-3-319-59111-7_21
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Abstract

Organisations now invest in ICT solutions to drive business activities and to provide the agility sought within changing environments. Owing to many reasons including inadequate financial resources, organisations in developing countries are characterised by mergers of two or more institutions. It means therefore that disparate systems with different data management schemes are merged or made to collaborate making access to quality data almost impossible. In turn, a level of inefficiency finds its way with potential to generate inaccurate, missing, misinterpreted and poorly defined information. This research is motivated by the need to investigate data governance challenges in institutions within developing countries that are characterised by complex dynamics rooted in merged and collaborating environments. The study has been empirically scoped to explore data governance challenges in a large university of technology in the Western Cape Region of South Africa as a developing country. The challenges with regards to ICT and data governance are equally applicable in higher education institutions as they do in business organisations. Higher education institutions have a growing ICT infrastructure used in everyday activities and online functionality, making them prone to data problems. Challenges related to data management in universities are a lot more pronounced in universities which were established through the merging of independent institutions and also those that exchange data through collaborations. Thematic analysis has been employed within the theoretical lens of two models, contingency model (Wende and Otto 2007) and the data governance decision domain model (Khatri and Brown 2010). Analysis of data through the two models led to the development of a data governance framework applicable to the case under study and deemed to apply to any organisation in the same context. Challenges related to data principles, data access, data quality, data integration, metadata, data lifecycle, and design parameters emerged as the main findings from the study. Since the institution under study was established through a merger of independent technikons, the findings were deemed to be applicable to many other institutions where mergers and collaborations characterise their environment.

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Citations

Cites

Show all 17 references

Research works printed but not linked: 5

  1. Gillard, E., Saunders, S., Terblanche, J., Sukel, M.: A review of four case studies in restructuring the South African higher education system. African Higher Education (2012)
  2. Korhonen, J.J., Melleri, I., Hiekkanen, K., Helenius, M.: Designing data governance structure: an organisational perspective. GSTF J. Comput. 2(4), 11 (2013)
  3. Moses, A.: The strategic role of the Chief Information Officer during post-merger at institutions of higher learning: a case study. MTech thesis, Cape Peninsula University of Technology (2014)
  4. Russom, P.: Data governance strategies: helping your organisation comply, transform, and integrate. The Data Warehouse Institute Best Practices Report, pp. 1–30 (2008)
  5. Wende, K.: A model for data governance – organizing accountabilities for data quality management. In: Proceedings of 18th Australasian Conference on Information Systems, Toowoomba, Australia, 5–7 December 2007

Cited by

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Metadata

Authors
Mlangeni, T. C., & Ruhode, E.
Affiliations
Cape Peninsula University of Technology (ZA)
Corresponding author
Ruhode, Ephias
ORCID
Ruhode, Ephias
Venue
IFIP Advances in Information and Communication Technology
Publisher
Springer International Publishing
Published
2017
Volume
AICT-504
Pages
242-253
ISSN
  • 1868-422X (ISSN-L)
  • 1868-4238
DOI
10.1007/978-3-319-59111-7_21
OpenAlex
W2615306204
Cited by
11
References
17
Citations by year
2026: 1 · 2025: 2 · 2024: 3 · 2022: 1 · 2021: 2 · 2019: 1 · 2018: 1
FWCI
0.80
Type
conference paper
Language
en
Open access
Licence
Locations
  • IFIP advances in information and communication technology (publishedVersion)
  • HAL (submittedVersion, cc-by)
Topics
  • Physical Sciences › Computer Science › Information Systems › Data Quality and Management
  • Social Sciences › Business, Management and Accounting › Management Information Systems › Information Technology Governance and Strategy
  • Physical Sciences › Computer Science › Information Systems › Educational Management and Quality
Keywords
data governance, institutional merger, university mergers, data integration, data quality, data lifecycle, metadata, data access, data governance framework, contingency model, higher education institutions, ICT infrastructure, developing countries, technikons

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.