Remove Data Privacy Remove Government Remove Healthcare Remove Metadata
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Metadata Management, Data Governance and Automation

erwin

erwin released its State of Data Governance Report in February 2018, just a few months before the General Data Protection Regulation (GDPR) took effect. Download Free GDPR Guide | Step By Step Guide to Data Governance for GDPR?. How to automate data mapping. The Role of Data Automation. We wonder why.

Metadata 102
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Mastering healthcare data governance with data lineage

IBM Big Data Hub

The healthcare industry faces arguably the highest stakes when it comes to data governance. For starters, healthcare organizations constantly encounter vast (and ever-increasing) amounts of highly regulated personal data. healthcare, managing the accuracy, quality and integrity of data is the focus of data governance.

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Delivering responsible AI in the healthcare and life sciences industry

IBM Big Data Hub

With today’s new generative AI products, trust, security and regulatory issues remain top concerns for government healthcare officials and C-suite leaders representing biopharmaceutical companies, health systems, medical device manufacturers and other organizations. And institutional innovation can play a role to help.

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FAIR Data Principles in Life Sciences: A case for Data Intelligence Cloud

Collibra

At its core, FAIR aims to break down data silos by providing guidelines to make data: Findable – metadata and data should be searchable and should be easily located. Accessible – metadata and data should be accessible to users. It can be integrated with other data.

Cloud 75
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Speed up digital transformation and data literacy with Data Intelligence Cloud for healthcare

Collibra

Across all segments of the industry – from payer, provider, biotech and pharmaceutical – organizations are ramping up on their digital transformation initiatives with a renewed sense of urgency. Lack of data management and poor-quality data drives up costs and risks. The Collibra Data Intelligence Cloud advantage.