Data repositories are digital storage spaces that enable researchers and academics to deposit datasets and make them more discoverable, reusable, and accessible. Many journals and publishers require ...

While you may have heard of a data lake, you might not have understood how it is different to a data warehouse. Both are repositories and are often considered one and the same, but they are ...

Developers who support robust platforms fueled by trusted data are ideally positioned to consistently provide product content for retailers, wholesalers, manufacturers and consumers.

What is a data lake? A data lake is defined as a centralized and scalable storage repository that holds large volumes of raw big data from multiple sources and systems in its native format. To ...

The exponentially increasing amounts of data being generated each year make getting useful information from that data more and more critical. The information frequently is stored in a data warehouse, ...

An explanation of open data, why it's important and how you can do it yourself.

The value of broadening searches for data across multiple repositories has been identified by the biomedical research community. As part of the US National Institutes of Health (NIH) Big Data to ...

Master data is a key organizational data asset that contains the most up-to-date and accurate information for day-to-day business operations. The ongoing practice of creating and managing the ...

When you're ready to deposit your data for sharing and archiving, look into whether there is already a repository in your field where the most likely users of your data would look. The following sites ...

First, there was a data warehouse – an information storage architecture that allowed structured data to be archived for specific business intelligence purposes and reporting. The concept of the ...