Posts Tagged ‘Taxonomies’
Data Driven and Equitable
Data equity refers to the fair and just distribution of data resources and benefits across individuals and groups within a society or organization. It is based on the principle that data should be accessible, inclusive, and unbiased, and that the benefits derived from data should be shared equitably among all stakeholders. FCW brought this interesting…
Read MoreClassifying With AI
Classification plays an important role in many applications of artificial intelligence (AI) such as image recognition, speech recognition, and natural language processing. This interesting information came to us from an ABC affiliate out of Australia in their article, “Artificial intelligence technologies could be classified by risk, as government consults on AI regulation.” In AI, classification…
Read MoreBuilding the Foundation for Findability
Enriching metadata with better tags and descriptions makes it easier for anyone to search and find quicker and more easily. Recent advances in IT and artificial intelligence (AI) offer remarkable opportunities for the automatic enrichment of cultural heritage metadata with minimal resources. Involving humans in this work remains important, however. This interesting topic came to…
Read MoreThe Power of Findability
Findability is a crucial aspect of information science. It refers to the ease with which information can be discovered and accessed by users. In today’s digital age, with vast amounts of information available, findability plays a vital role in ensuring that users can locate and retrieve the information they need efficiently and effectively. The volume…
Read MoreManaging Data With Data
Metadata refers to the structured information that describes and provides context for data, making it easier to understand, organize, and retrieve. Metadata management is highly important, especially in the context of data management, information systems, and digital content. This interesting topic came to us from TLNT in their article, “Don’t just look at data; look…
Read MoreImproving Findability with Taxonomies
The primary goal of classification is to provide a systematic and efficient way of organizing information, such that it can be easily retrieved, searched, and understood. Classification in information science plays a crucial role in organizing and managing large volumes of information, enabling efficient access, retrieval, and analysis, and ultimately helping users make sense of…
Read MoreQuality and Integrity
Data integrity is the basis of any decision made using data, and one way to insure it is through a comprehensive and solid data governance strategy and policy. MarkTech Post brought this subject to our attention in their article, “What is Data Governance? Top Data Governance Tools for Data Science and Machine Learning Research in…
Read MoreThe Importance of Data Quality
Data quality is of utmost importance in today’s data-driven world. High-quality data serves as the foundation for making informed decisions, deriving accurate insights, and developing effective strategies. MarTech brought this interesting information to our attention in their article, “6 marketing automation use cases where AI can help with data quality.” Data quality directly impacts the…
Read MoreShifting of Terms
Among the latest trendy terms, data mesh is making its way to the top. But what is it? This interesting topic came to us from TechTarget in their article, “Benefits of data mesh might not be worth the cost.” A data mesh is a decentralized data architecture that organizes data by a specific business domain providing…
Read MoreMetadata and Findability
Metadata describes and explains data. It is often referred to in relation to photos, because modern photos’ data format includes device, location, and timestamp data for your camera. Those three things are essentially called metadata. It has been a widely used term for decades, but how much do you know about metadata? This interesting topic…
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