Page 251 - Journal of Library Science in China, Vol.47, 2021

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250 Journal of Library Science in China, Vol.13, 2021

concepts, perspectives and standardization collaboration model across international standardization
organizations (SDOs) . The study has many implications to standardization collaboration for the
designing, directing, and monitoring the data governance plans and programs.
This paper collects many and various types of definitions of data governance from international
standards organizations including ISO, IEC and ITU-T, then identifies core concepts and their
relationships. Contents analysis of 19 relevant documents of standards have been conducted,
mapping with core concepts, perspectives and concepts relationships of data governance. An
analytical model for data governance standardization collaboration is proposed. It has provided a
meta-synthetic way of thinking to study multi-dimensional (digital government, digital economy
and digital society) and multi-layer (macro, meso, micro) data governance standardization
collaboration. Implementation schemes of the U.S. federal government and European Committee
have been analyzed under the proposed analytical model.
Through the analysis of definitions in different SDOs, it could be seen that data governance refers
to strategic collaboration activities that design, direct and monitor the data management process,
as well as the data asset value realization process. It includes the data related policies design and
implementation. It also includes the unified strategic plan on data ownership and data stewardship.
Through the analysis of perspectives of data governance, the paper proposes a three-layered model,
which helps data governors, data managers, and data workers design, direct and monitor their data
related governance contents. Combined with the multi-dimensional scenarios of data governance,
a standardization collaboration model with 9 elements is synthesized. From the digital government
dimension, the standardization collaboration model is composed of performance evaluation
collaboration, data management process collaboration, data quality management collaboration,
etc. From the digital economy dimension, the standardization collaboration model includes: data
value chain and ecosystem strategic collaboration, data commercialization process collaboration,
and data ownership and stewardship collaboration. From the digital society dimension, the
standardization collaboration model includes: multiple stakeholders accountability collaboration,
data platform construction collaboration, open data PDCA collaboration, data resource and service
collaboration, and privacy and security protection collaboration. The case studies have following
findings: the U.S. is inclusive on data governance, and the EU is conservative and passive on data
governance.
China is recommended to optimize definitions of data governance to be more inclusive, as well
as to develop and establish an integrated and coordinated data governance standardization system,
which would harmonize, compatible and interoperable with those from different SDOs.