A Review of Data Governance Maturity Level in Higher Education

Abstract

Data governance in organization is unique. Every organization has a form of data governance in accordance with their respective needs. In some literature most of the industry, build data governance program based on the needs of data quality in achieving the company's goals. Some research have shown that data quality management is the foundation of data governance development in the industry. Although the data quality management is an important foundation, but in the development of the industry show the form of data governance that vary according to the needs and interests of the company. To see the effectiveness that data governance has been implemented well in an organization, it is needed a measurement mechanism of maturity level. However, to determine whether the measurements were carried out in accordance with the organization's goals, it will be require a clear base in determining the dimensions of the measurement. This research tried to describe the dimensions of which will be used during the activity measurement data governance maturity level within an organization. The measurement model used as a reference is the IBM data governance and DAMA International.

Designing an Education Database in a Higher Education Institution for the Data-Driven Management of the Educational Process

“…Taking into account a significant increase in the amounts of data collected, stored, and used in HEIs, the concept of Data Governance has been introduced into higher education [28,29] and was discussed in relation to LA [30]. As was mentioned in a comprehensive review [31], it aims at implementing a corporate-wide data agenda, maximizing the value of data assets in an organization and managing data-related risks.…”

Data Governance Maturity Level at the National Archives of the Republic of Indonesia

“…On the study by Proenca, 14 maturity model related to data and information management was used in the latest research (Proenca & Borbinha, 2018) In several previous research, many refer to DAMA International as a basic framework from DMBOK, like (Prasetyo, 2016) in his research wrote that DAMA International is a reference for resolve data government problems.…”

“…Within all indicators mentioned above, has covers most dimension which exists in other frameworks, such as IBM and DAMA. Those aspects include data quality, policy or formalization, and data architecture(Prasetyo, 2016), and metadata aspects(Rivera et al, 2017).There are additional indicators that Stanford has but the other data governance frameworks do not yet have, such as the awareness aspect.…”