Search results for "data governance"
showing 3 items of 3 documents
Creating the Socio-technical Context Needed to Derive Benefits from Big Data Initiatives in Healthcare
2021
The application of big data in healthcare typifies a complex socio-technical sys- tem. However, although research and practice have advanced the technical aspects of big data, comparable advancements in the social aspects (i.e., human and structural aspects) are lagging. Literature, especially on socio-technical theory, suggests that organizations may only derive benefits from big data initiatives when technical initiatives are adequate- ly complemented by social interventions. Thus, seeing that big data is receiving consider- able attention in healthcare, researchers have called for further research into the social aspects of the application of big data in healthcare. Adopting a socio-tech…
Framework and Research Agenda for Master Data Management in Distributed Environments
2011
Master data is the foundation for relating business transactions with business entities such as customers, products, locations etc. These entities are also referred to as domains in master data literature. The integrity, availability and timeliness of master data in single-, and growingly in multi-domain combinations is crucial in eBusiness transactions over the Internet, or in the cloud for multiple stakeholders. Distributed environments set additional challenges for the management of master data. In this idea paper, we first describe master data, management processes, responsibilities and other contemporary master data management practices aiming to ensure master data quality in different…
Governance of Ethical and Trustworthy Al Systems: Research Gaps in the ECCOLA Method
2021
Advances in machine learning (ML) technologies have greatly improved Artificial Intelligence (AI) systems. As a result, AI systems have become ubiquitous, with their application prevalent in virtually all sectors. However, AI systems have prompted ethical concerns, especially as their usage crosses boundaries in sensitive areas such as healthcare, transportation, and security. As a result, users are calling for better AI governance practices in ethical AI systems. Therefore, AI development methods are encouraged to foster these practices. This research analyzes the ECCOLA method for developing ethical and trustworthy AI systems to determine if it enables AI governance in development process…