数据管理在数据迁移到开放数据的高层次方法中的作用

Q2 Economics, Econometrics and Finance

Business Information Review Pub Date : 2024-07-23 DOI:10.1177/02663821241264702

Alivia Yulfitri, D. I. Sensuse, Deden Sumirat Hidayat, Ryan Randy Suryono, Kautsarina, Erisva Hakiki Purwaningsih, A. S. Prabuwono

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引用次数: 0

摘要

数据质量问题仍然是数据迁移中的一项挑战。现有方法主要关注技术问题。然而，数据质量问题不仅是技术问题，最主要的还是非技术方面的问题。本文旨在明确数据治理在数据迁移过程中的作用。定性研究方法使用了两个主要参考文献，即 Kazimir 等人的高级数据迁移方法和 DAMA-DMBOK 框架。两者都与数据迁移过程高度一致，都注重数据质量，并参考了治理角色。案例研究是在一个中央政府中进行的，该政府正致力于将数据迁移到新的 "一个数据 "应用程序。结果显示，有 8 个数据管理角色参与了 20 个迁移流程（占 65%）。与数据质量相关的非技术活动涉及数据迁移流程的一半以上。本文提出了数据治理在迁移过程的非技术方面的作用。本文通过案例研究介绍了高层数据迁移过程以及数据治理是如何发挥作用的。这项研究可以帮助政府和从业人员克服数据迁移过程中经常出现的问题，尤其是与数据质量相关的问题。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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The role of data governance in a high-level approach of data migration to open data

Data quality issues are still a challenge in data migration. Existing methods mainly focus on technical issues. However, the problem of data quality is not only a technical problem, but the main one is the non-technical aspect. This paper aims to identify the role of data governance in the data migration process. The qualitative research method uses two primary references, namely the high-level data migration approach from Kazimir et al. and the DAMA-DMBOK framework. Both are highly compatible with data migration processes focusing on data quality and referencing governance roles. The case study was conducted in a central government working on data migration to the new One Data application. The results show that eight data governance roles are involved in 20 migration processes (65%). Non-technical activities related to data quality involve more than half of the data migration process. This paper proposes the role of data governance for non-technical aspects of the migration process. This paper presents a case study of the high-level data migration process and how data governance comes into play. This research can help the government and practitioners overcome problems that often occur in data migration, especially related to data quality.

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来源期刊

Business Information Review Economics, Econometrics and Finance-Economics, Econometrics and Finance (miscellaneous)

CiteScore

2.50

自引率

0.00%

发文量

期刊介绍： Business Information Review (BIR) is concerned with information and knowledge management within organisations. To be successful organisations need to gain maximum value from exploiting relevant information and knowledge. BIR deals with information strategies and operational good practice across the range of activities required to deliver this information dividend. The journal aims to highlight developments in the economic, social and technological landscapes that will impact the way organisations operate. BIR also provides insights into the factors that contribute to individual professional success.