IBM is aiming to radically simplify the enterprise data stack, introducing software that unifies, governs, and activates the unstructured enterprise data necessary to power AI agents and other ...

Efforts have been underway for years to improve the replicability of research studies, but some are skeptical of the US ...

Companies redefine how unstructured data is governed, integrated and activated for agentic AI, signaling a new era of scalable, trusted AI platforms.

Data PoliciesData Descriptors, Scientific Data 's primary article type, describe datasets. These must be made available to editors and referees at the time of submission and be shared with the ...

Data Warehousing Hardware and software that support the efficient consolidation of data from multiple sources in a Data Warehouse for Reporting and Analytics include ETL (Extract, Transform, Load), ...

Reference Data has the power to improve accuracy, consistency and flexibility at enterprise scale—and deliver the right data for any circumstance.

Data availability statements To maintain high standards of transparency, research reproducibility, and to promote the reuse of new findings, a data availability statement (DAS) is required to be ...

Data management: The processes define how an organization’s data assets are created, stored, accessed, and used. They also establish the rules for how those assets will be shared with internal ...

The Collection “DNA Replication and Replication Stress” brings together original research articles, critical reviews, and perspectives from scientists with diverse viewpoints and areas of ...

Get access to the full power of the Bloomberg Market Data Feed (B-PIPE) in the cloud, including normalized data for 35 million instruments, aggregated from more than 330 exchanges and over 5,000 ...

Data availability is one of the most important performance factors in cloud storage systems. To enhance data availability, replication is a common approach to handle the machine failures. However, ...