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 ...

Research data management (or RDM) is a term that describes the organization, storage, preservation, and sharing of data collected and used in a research project. It involves the everyday management of ...

Every time a scientist runs an experiment, or a social scientist does a survey, or a humanities scholar analyzes a text, they generate data. Science runs on data – without it, we wouldn’t have the ...

This scholarship generates an unimaginable amount of data—so, how do researchers keep track of it? And how do they make sure that it’s accessible for use by both humans and machines? To improve and ...

The company’s Mediaflux platform powers HPC-scale workloads and large scientific data sets, transforming data into dynamic assets that accelerate discovery At a time when data is growing in volume, ...

While higher education institutions are primarily dedicated to teaching and learning, they operate with a complexity rivaling that of a large enterprise. From student records and research data to ...

The adoption of quantitative and Artificial Intelligence (AI)/Machine Learning (ML) techniques, and the growth of systematic strategies have made investment research data especially important for ...

Data collection is the process of gathering and measuring information used for research. Collecting data is one of the most important steps in the research process, and is part of all disciplines ...

Data can change the world, but our data leaders – the people who help spearhead this change – often struggle to do their jobs well. Moving past big data buzzwords, the challenges they face and what ...

CWRU provides resources and guidelines for the proper collection, stewardship, preservation, and publication of research data. The Research Data website collates these resources and provides ...