Fragmented data management is a limiting factor in successful AI adoption in the enterprise. Matia meets this challenge with ...

It’s often said that knowledge is power, and that’s never been more true for businesses than in today’s digital age. Technology tools enable businesses to collect a wealth of information from ...

The Libraries provide guidance for writing Data Management (and Sharing) Plans (DMPs or DMSPs), whether they are required as part of a grant proposal or written electively to support effective ...

What does a data quality manager do? Your email has been sent A data quality manager is responsible for assessing, managing and maintaining data quality across an organization. This can include ...

EDM is S&P Global’s flagship enterprise data management platform. It is used by more than 200 organizations on both sides of the industry to help them optimize their data use and streamline their ...

Data governance defines the policies data management acts on. Learn more about data governance and data management and how they work together to develop business insights. Image: Gorodenkoff/Adobe ...

We're excited to bring our community of data professionals together this May in Boston for three days of practical advice, inspiring thought leadership, and in-depth training. Join your peers to learn ...

This section breaks down different topics required for the planning and preparation of data used in research at Case Western Reserve University. In this phase you should understand the research being ...

As part of NIH’s long-standing commitment to promote the sharing of scientific data, NIH has issued the Data Management and Sharing (DMS) policy (effective 01/25/2023) to “promote the management and ...

Data lakes have emerged as a pivotal solution for organisations seeking to harness vast, heterogeneous datasets. This strategy involves storing raw data in its native format in a centralised ...