Andronis Katerina, Moysey Kevin
Life Sciences and Health Care, Deloitte Consulting, Australia.
Stud Health Technol Inform. 2013;193:299-315.
Data governance is characterised from broader definitions of governance. These characteristics are then mapped to a framework that provides a practical representation of the concepts. This representation is further developed with operating models and roles. Several information related scenarios covering both clinical and non-clinical domains are considered in information terms and then related back to the data governance framework. This assists the reader in understanding how data governance would help address the issues or achieve a better outcome. These elements together enable the reader to gain an understanding of the data governance framework and how it applies in practice. Finally, some practical advice is offered for establishing and operating data governance as well as approaches for justifying the investment.
数据治理具有更广泛的治理定义所具有的特征。然后将这些特征映射到一个框架,该框架提供了这些概念的实际呈现。这种呈现通过运营模型和角色进一步发展。从信息角度考虑了涵盖临床和非临床领域的几个与信息相关的场景,然后将其与数据治理框架联系起来。这有助于读者理解数据治理将如何帮助解决问题或实现更好的结果。这些要素共同使读者能够理解数据治理框架及其在实践中的应用方式。最后,提供了一些关于建立和运营数据治理的实用建议以及证明投资合理性的方法。