Remove Definition Remove Examples Remove Libraries Remove Metadata
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Do I Need a Data Catalog?

erwin

Organizations with particularly deep data stores might need a data catalog with advanced capabilities, such as automated metadata harvesting to speed up the data preparation process. Three Types of Metadata in a Data Catalog. The metadata provides information about the asset that makes it easier to locate, understand and evaluate.

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Erwin Data Intelligence: A Data Partner’s Perspective

erwin

Technology is an enabler, and for data governance this is essentially having an excellent metadata management tool. Examples of complementary technologies include technology for data warehouse automation, change data capture and master data management. Next to data governance, data architecture is really embedded in our DNA.

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Get more from CILIP?s Groups and Communities

CILIP

Our BAME and LGBTQ+ Diversity Networks are there to champion and provide a support network for communities that have traditionally been under represented within the library and information sector. We would definitely recommend you add Membership , Membership notifications and Member Services? Libraries Week: librariesweek@cilip.org.uk.

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Information Governance and the Records Lifecycle

The Texas Record

For example, a completed W4 form is a record , and it provides information about an employee’s tax withholding preferences. Source: Texas State Library and Archives Commission. For example, you may write a report (creation), or you may receive a complaint via email (receipt). In a nutshell, this is information governance.

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Managing Governance Policies with everteam.policy

Everteam

With it, you can: Create comprehensive policy definitions. One example is a policy that states a content asset must be retained for five years, but after two it can be removed from the index. With everteam.policy, you create a library of laws and then apply each law to one or more policies.

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AI Governance: Why our tested framework is essential in an AI world

Collibra

Our framework is informed by our definition of AI governance: AI governance is the application of rules, processes and responsibilities to drive maximum value from your automated data products by ensuring applicable, streamlined and ethical AI practices that mitigate risk, adhere to legal requirements and protect privacy.

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Supporting the Future of Scholarly Communication

CILIP

Having worked in academic libraries for nearly twenty years I?ve ve lived through Pinterest, library services offered via Second Life, social tagging in cataloguing and more 23 Things programmes than I want to think about. s hard to deny that it is becoming increasingly more common in academic libraries. However, in this time I?ve