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Part of the book series: Knowledge Studies in Higher Education ((KSHE,volume 4))

Abstract

Universities increasingly recognize data as a valuable enterprise asset and that the shift to a decentralized cloud based software as a service model makes it more difficult to manage these assets. Formal data governance programs are on the rise as a method to foster data-driven decisions and reduce risk. Data governance controls the data asset life cycle by focusing on governing the data itself rather than on managing the data processing technology. A data governance program assigns responsibility for specific data assets to individuals and formally defines that responsibility. Data governance programs provide a structured decision making process for resolving issues. As important users of enterprise data assets, Institutional Research departments can support the establishment of data governance programs by identifying current problems and evangelizing the benefits of a formal data governance program. Although this chapter focuses on data structures and examples from one particular institution, many of the comments included in this chapter can be considered by IR officials, in all types and sizes of institutions.

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Notes

  1. 1.

    The interested reader may wish to review McLaughlin, Howard, Balkan, and Blythe’s (1998) monograph on People, Processes, and Data Management as a precursor to contemporary concepts and roles related to data management in higher education today. Similar to today’s roles that are needed for data management, McLaughlin et al. discussed the roles of data users of institutional data, and optimum ways to assign roles and responsibilities to various users and units on campus. Although these authors use slightly different terms, they discussed the need for data custodians, data brokers, and data stewards as a way to assign various levels of responsibility that ensure efficient accuracy checks and a structure that enabled all officials on campus to have a clear understanding of who was responsible for select data, and at what point in the semester. The concepts in the McLaughlin (1998) text have a number of points that parallel the ideas put forth in this chapter.

  2. 2.

    The DAMA Guide to The Data Management Body of Knowledge (Bradley Beach: Technics Publications, 2009).

References

The DAMA Guide to The Data Management Body of Knowledge (Bradley Beach: Technics Publications, 2009).

  • DAMA. (2009). International guide to data management body of knowledge and its companion dictionary of terms. Resource document. https://technicspub.com/wp-content/uploads/2015/02/DMBOKFactSheet.pdf. Accessed 23 May 2017.

  • Ladley, J. (2012). Data governance: How to design, deploy, and sustain an effective data governance program. New York: Morgan Kaufman for Elsevier.

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  • McLaughlin, G., Howard, R., Balkan, L., & Blythe, E. (1998). People, processes, and managing data. Tallahassee: Association for Institutional Research.

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Correspondence to Kelly Briner or John Rome .

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Briner, K., Rome, J. (2018). The Need for and Value of Data Governance. In: Webber, K. (eds) Building Capacity in Institutional Research and Decision Support in Higher Education . Knowledge Studies in Higher Education, vol 4. Springer, Cham. https://doi.org/10.1007/978-3-319-71162-1_5

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  • DOI: https://doi.org/10.1007/978-3-319-71162-1_5

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-71161-4

  • Online ISBN: 978-3-319-71162-1

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