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

erwin

This research showed that the majority of responding organizations weren’t actually prepared for GDPR, nor did they have the understanding, executive support and budget for data governance – although they recognized the importance of it. Download Free GDPR Guide | Step By Step Guide to Data Governance for GDPR?.

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Mastering healthcare data governance with data lineage

IBM Big Data Hub

Healthcare organizations must adhere to data privacy regulations like HIPAA and GDPR. Noncompliance with these laws is costly and can damage your reputation, besides posing a danger to patients and practitioners when data breaches occur. Increased data security and privacy In the healthcare industry, data privacy is integral.

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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.

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