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Why IDMP compliance requires adaptive data governance

Collibra

Pharmaceutical, biotech and medical devices firms, among others, must comply with a plethora of regulations. This requires every company to perform gap analysis to determine what is required and then update their systems, processes, workflows and data management strategy accordingly to ensure compliance.

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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. The impact of healthcare data usage on people’s lives lies at the heart of why data governance in healthcare is so crucial.In healthcare, managing the accuracy, quality and integrity of data is the focus of data governance.

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New Gimmal Partnership with NNIT Brings Life Science Customers an Accelerated, GxP-Capable Information Governance Solution

Gimmal

The new collaboration is off to a great start with its first successfully completed joint solution delivery for a top, leading global pharmaceutical company. NNIT has deep life sciences expertise, specifically within the compliance and validation arena, so we know how important it is to document and keep immaculate records.

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The Value of Data Governance and How to Quantify It

erwin

erwin recently hosted the second in its six-part webinar series on the practice of data governance and how to proactively deal with its complexities. Led by Frank Pörschmann of iDIGMA GmbH, an IT industry veteran and data governance strategist, the second webinar focused on “ The Value of Data Governance & How to Quantify It.”.

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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?. Data governance maturity includes the ability to rely on automated and repeatable processes.

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Breaking Down Barriers: Data Quality as a Driver for Pharma Transformation

Reltio

The industry faces several data quality challenges, including with data governance, data silos, and data integration. In this blog post, we explore the significance of data quality in the pharmaceutical industry and explain how a modern MDM platform serves to address these challenges.

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

Collibra

By adopting FAIR Data Principles, life sciences firms (pharmaceuticals, biotech, medical device manufacturers) can accelerate data sharing, improve data literacy (understanding of data) and increase overall transparency and auditability when working with data. Reusable – metadata should include rich business and technical context.

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