A data management plan is part of a research plan. Whereas a research plan describes, for example, what data will be analysed and how, a data management plan explains how data will be managed and ...

Introduction. The purpose of this Research Data Management Strategy is to make explicit the commitments Simon Fraser University (SFU) will provide to support its researchers in complying with the ...

Institutional Strategic Awards includes a team of Research Project Managers which provide SFU researchers with the support for developing, implementing and sustaining complex research and ...

To fulfil the Research Data Management remit, DLR cooperates and networks with other Helmholtz centres (for example in the Helmholtz Metadata Collaboration project) and with the National Research Data ...

Research data management benefits. Good research data management has a number of benefits. Increased research efficiency: you can find, understand and use data when you need it. Quality: good research ...

But less data-intensive fields of science and social research also benefit from data management. For example, geochemists analysing soil bacteria and mineral products in different environments can ...

Be consistent when you name your data and the folders they’re stored in. Decide on a convention early in your project and stick to it. Record your convention, for example in a lab notebook or README ...

Data management is a multidisciplinary process that keeps data organized in a practical, usable manner. At its most fundamental level, the goal is to ensure an organization’s entire body of data ...

An example is Dell Technologies Enterprise Data Management. This includes Dell Data Lakehouse for AI, a data platform built upon Dell’s AI-optimized hardware, and a full-stack software suite for ...