data
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Artificial intelligence
Data governance practices for using RAG in generative AI-powered information systems supporting knowledge management (KM)
Research findings suggest a strong link between data governance practices and information system success across three quality dimensions.
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ABCs of KM
Data variety and why it matters
Ashby’s Law of Requisite Variety and the ‘9Vs’ – volume, velocity, variety, veracity, validity, vulnerability, viscosity, vectors and virtualisation.
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ABCs of KM
Applying knowledge management in football data science
Football teams are now extensively using data science to improve performance. Adding knowledge management (KM) can bring even further performance…
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Because You Need to Know
Because You Need to Know – Elizabeth McLean
Caring to share and the multifaceted condition of data with Elizabeth McLean.
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ABCs of KM
Improving knowledge management on Xiaohongshu: Data-driven procedures for a more astute digital ecosystem
Xiaohongshu mixes social media, e-commerce, and user-generated content, making it a key space for millions of users to share and…
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Brain power
The pros and cons of people analytics
People analytics has a lot of promise to uncover things like how well people are working, but can also be…
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ABCs of KM
Knowledge kaleidoscope: crafting narratives for connection
In knowledge management, stories can facilitate knowledge flow, including for data, which lacks the power to engage.
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Open access to scholarly knowledge
Open access to scholarly knowledge in the digital era (chapter 5.4): Toward linked open data for Latin America
Becerril-García and Aguado-López contend that technological innovations can contribute to a more integrated knowledge ecosystem.
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Open access to scholarly knowledge
Open access to scholarly knowledge in the digital era (chapter 5.3): Reading scholarship digitally
Martin Paul Eve asks what it means to think of scholarship as data.
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Introduction to knowledge graphs
Introduction to knowledge graphs (section 3.1): Data graphs – Models
Graphs offer a flexible way to conceptualise, represent, and integrate diverse and incomplete data.
