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Data governance at the macro level involves regulating cross-border data flows among countries, which is more precisely termed international data governance.This field formed in the early 2000s [1] and consists of "norms, principles and rules governing various types of data."
Data sovereignty is the ability of a legal person or an organisation to control the conditions that data is shared under, and how that shared data is used, as if it were an economic asset. [ 1 ] [ 2 ] It can apply to both primary data and secondary data derived from data, or metadata . [ 3 ]
However, data has to be of high quality to be used as a business asset for creating a competitive advantage. Therefore, data governance is a critical element of data collection and analysis since it determines the quality of data while integrity constraints guarantee the reliability of information collected from data sources.
Governance is the overall complex system or framework of processes, functions, structures, rules, laws and norms born out of the relationships, interactions, power dynamics and communication within an organized group of individuals. It sets the boundaries of acceptable conduct and practices of different actors of the group and controls their ...
A data architect is a practitioner of data architecture, a data management discipline concerned with designing, creating, deploying and managing an organization's data architecture. Data architects define how the data will be stored, consumed, integrated and managed by different data entities and IT systems, as well as any applications using or ...
Discussions of Indigenous data sovereignty for Indigenous peoples of Canada, New Zealand, Australia, and the United States of America are currently underway. [18] Data sovereignty is seen by Indigenous peoples and activists as a key piece to self-governance structures and an important pillar of Indigenous sovereignty as a whole. [8]
Despite the above noted limitations and concerns recent econometric research looking at how reliable some of these indicators are, vis-a-vis data collected from natural experiments and other observational surveys, have actually concluded that the Good Governance Indicators do in fact seem to be measuring, albeit imperfectly, levels of corruption and government effectiveness. [9]
A data steward is an oversight or data governance role within an organization, and is responsible for ensuring the quality and fitness for purpose of the organization's data assets, including the metadata for those data assets.