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Metadata management frameworks explained

Collibra

With the rapid growth in data volume, sources, as well as complexity, businesses are increasingly adopting the best practices for metadata management to power data governance and maximize data use for analytics, ML, and operational use cases. What is a metadata management framework?

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Harvesting Preservica metadata to your library discovery layer using APIs - Case Study: Preservica to Ex Libris' Primo

Preservica

They were discoverable in our library catalog Ex Libris Primo but would potentially be behind a paywall depending on who the viewer was. Challenges ProQuest supplied the theses in PDF format on hard drives in batches, each batch was accompanied by a file of metadata in MARC format. The final step was to surface it in Primo.

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Preserving Our Libraries’ Digital Collections is Simple, Powerful, and Affordable

Preservica

Academic libraries are in the midst of rapid, widespread changes as it shifts into the digital age. Our libraries have been a steady flame for patrons to depend on, not just throughout the pandemic, but throughout history. See how Preservica customers are creating engaging internal and public access.

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Do I Need a Data Catalog?

erwin

If you’re serious about a data-driven strategy , you’re going to need a data catalog. Organizations need a data catalog because it enables them to create a seamless way for employees to access and consume data and business assets in an organized manner. This also diminishes the value of data as an asset.

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Visual Cues and Clues: Born-Digital Photographs and their Metadata

Unwritten Record

A clear positive for digital copies is that physical space is no longer the largest obstacle for housing records, however, one of the lesser-thought of positives is embedded metadata. Similar to a hand-written caption on the back of a photographic print, embedded metadata can provide identifying information found within the digital file.

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Erwin Data Intelligence: A Data Partner’s Perspective

erwin

At Sparkle, we’re a holistic data partner helping organizations increase their data maturity in a strategic yet pragmatic way. One of the key ingredients to ensure data is really embedded in an organization, and one of the key enablers to increase the strategic impact of data, is the setup of a successful data governance program.

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Benefits of Enterprise Modeling and Data Intelligence Solutions

erwin

Users discuss how they are putting erwin’s data modeling, enterprise architecture, business process modeling, and data intelligences solutions to work. IT Central Station members using erwin solutions are realizing the benefits of enterprise modeling and data intelligence. Data Modeling with erwin Data Modeler.

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