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 ...

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 ...

As AI investment soars, the race for agentic is outpacing the modern data infrastructure required to support it. This is according to a new Semarchy survey of 1,000 global C-level executives across ...

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 ...

In most conversations, data and AI are inextricably linked. The narrative tends to be that organizations are not using AI well if they don’t have quality data from the field feeding into AI models.

Research institutions face growing challenges managing large and complex datasets: Data volumes are increasing in size, variety, and velocity, while traditional, ad hoc data management practices lead ...

An innovation council brought together some of the nation’s largest health plans to raise issues and look for ways to improve complex processes, including credentialing and provider data management.

Integrating AI into chip workflows is pushing companies to overhaul their data management strategies, shifting from passive storage to active, structured, and machine-readable systems. As training and ...

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 ...

In today’s fast-paced world, retailers are generating more data than ever before. From customer transactions to inventory management, retailers need to be able to manage, integrate and govern their ...

Academic libraries are increasingly evolving to support the entire research lifecycle, with research data management (RDM) services at the forefront of this transformation. The shift towards digital ...

Robotics companies often have to deal with a simple but confounding problem: Robots produce a lot of data. Even a simple robot can easily produce up to a terabyte of data per day, since they ...