Abstract
Data management solutions became highly expensive and ineffective mainly due to the lack of transparent processes and procedures to measure and provide clear guidance on the steps needed to implement them. The organizations and specialists agree that the only manner solve the data management issues requires the implementation of data governance. Many of those attempts had failed previously because they were based only on IT, with rigid processes and activities frequently split by systems or the areas supported by systems and their data. It shows that Data governance has been acquiring significant relevance. However, a consensus or even a holist approach was not achieved so far. This paper that is part of an ongoing thesis research that aims to identify the main gaps and opportunities by summarizing and study the literature consistently and as result at the end of the research it will propose a standard framework for data governance measuring its impact on the Data Governance maturity level before and after its implementation and thus as contribute to the community by trying to mitigate the problems found.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Newman, D., Logan, D.: Governance Is an Essential Building Block for Enterprise Information Management. Presented at the , Stamford, CT (2006)
Thomas, G.: Alpha males and data disasters: the case for data governance. Brass Cannon Press, Orlando, FL (2006)
DAMA International: DMBOK - Data Management Body of Knowledge. Technics Publications LLC (2012)
Abraham, R., Schneider, J., vom Brocke, J.: Data governance: A conceptual framework, structured review, and research agenda. Int. J. Inf. Manage. 49, 424–438 (2019). https://doi.org/10.1016/j.ijinfomgt.2019.07.008
Donaldson, A., Walker, P.: Information governance—a view from the NHS. Int. J. Med. Informatics 73, 281–284 (2004). https://doi.org/10.1016/j.ijmedinf.2003.11.009
Ballard, C., et al.: Information Governance Principles and Practices for a Big Data Landscape. IBM Redbooks (2014)
Otto, B.: A morphology of the organisation of data governance. In: ECIS 2011 Proceedings (2011)
Tallon, P.P., Ramirez, R.V., Short, J.E.: The information artifact in IT governance: toward a theory of information governance. J. Manag. Inf. Syst. 30, 141–178 (2013). https://doi.org/10.2753/MIS0742-1222300306
Smits, D., Hillegersberg, J.V.: The continuing mismatch between IT governance theory and practice: results from a systematic literature review and a delphi study with cio’s. J. Manag. Syst. 24 (2014)
Peffers, K., Tuunanen, T., Rothenberger, M.A., Chatterjee, S.: A design science research methodology for information systems research. J. Manag. Inf. Syst. 24, 45–77 (2007). https://doi.org/10.2753/MIS0742-1222240302
Ahern, D.M., Clouse, A., Turner, R.: CMMI distilled: a practical introduction to integrated process improvement. Addison-Wesley, Boston (2004)
Haneem, F., Kama, N., Taskin, N., Pauleen, D., Abu Bakar, N.A.: Determinants of master data management adoption by local government organizations: An empirical study. Int. J. Inf. Manage. 45, 25–43 (2019). https://doi.org/10.1016/j.ijinfomgt.2018.10.007
Kerr, D.S., Murthy, U.S.: The importance of the CobiT framework IT processes for effective internal control over financial reporting in organizations: An international survey. Inform. Manag. 50, 590–597 (2013). https://doi.org/10.1016/j.im.2013.07.012
Taheri, B.: 10 tips on developing a conceptual framework in quantitative studies. Getting Published, The final years (2017)
Weill, P., Ross, J.W.: IT governance: how top performers manage IT decision rights for superior results. Harvard Business School Press, Boston (2004)
Otto, B., Weber, K.: Data governance. In: Hildebrand, K., Gebauer, M., Hinrichs, H., and Mielke, M. (eds.) Daten- und Informationsqualität. pp. 277–295. Vieweg+Teubner, Wiesbaden (2011). https://doi.org/10.1007/978-3-8348-9953-8_16
Khatri, V., Brown, C.V.: Designing data governance. Commun. ACM 53, 148–152 (2010). https://doi.org/10.1145/1629175.1629210
Wende, K., Otto, B.: A contingency approach to data governance. In: 12th International Conference on Information Quality, Cambridge, USA (2007)
Otto, B.: Organizing data governance: findings from the telecommunications Industry and consequences for large service providers. CAIS 29 (2011). https://doi.org/10.17705/1CAIS.02903
Weber, K., Otto, B., Österle, H.: One Size Does not fit all–-a contingency approach to data governance. J. Data and Inform. Quality. 1, 1–27 (2009). https://doi.org/10.1145/1515693.1515696
Becker, T.: Discussing Data: Evaluating Data Quality TB (2019). https://doi.org/10.18651/TB/TB1903
Chrissis, M.B., Konrad, M., Shrum, S.: CMMI: guidelines for process integration and product improvement. Addison-Wesley, Upper Saddle River, NJ (2007)
Alsawalqah, H., Alshamaileh, Y., Alshboul, B., Shorman, A., Sleit, A.: Factors impacting on CMMI acceptance among software development firms: a qualitative assessment. MAS. 13, 170 (2019). https://doi.org/10.5539/mas.v13n3p170
Taheri, B.: 10 tips on developing a conceptual framework in quantitative studies (2016). https://researchportal.hw.ac.uk/en/publications/10-tips-on-developing-a-conceptual-framework-in-quantitative-stud,
Acknowledgements
This work is financed by National Funds through the Portuguese funding agency, FCT – Fundação para a Ciência e a Tecnologia, within project LA/P/0063/2020.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2024 The Author(s), under exclusive license to Springer Nature Switzerland AG
About this paper
Cite this paper
Guerreiro, L., do Rosário Bernardo, M., Martins, J., Gonçalves, R., Branco, F. (2024). Preliminary Research to Propose a Master Data Management Framework Aimed at Triggering Data Governance Maturity. In: Rocha, A., Adeli, H., Dzemyda, G., Moreira, F., Colla, V. (eds) Information Systems and Technologies. WorldCIST 2023. Lecture Notes in Networks and Systems, vol 800. Springer, Cham. https://doi.org/10.1007/978-3-031-45645-9_17
Download citation
DOI: https://doi.org/10.1007/978-3-031-45645-9_17
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-031-45644-2
Online ISBN: 978-3-031-45645-9
eBook Packages: Intelligent Technologies and RoboticsIntelligent Technologies and Robotics (R0)