Research data management refers to the practice of organising and maintaining research data throughout the research process. This is an important part of the research cycle because it will ensure that ...

are encouraged to complete the Responsible Conduct of Research course prior to beginning research. The course covers the following topics: Data Management, Conflict of Interest, Human and Animal ...

Examples include images acquired with a microscope, genome sequences, observations performed during a field study, responses to a questionnaire ... theses etc.). Active research data management (ARDM) ...

Data Management Plans (DMPs) identify products generated in the proposed research—data, metadata, samples, software, algorithms, curricula, documentation, and publications—and describe best practices ...

The half-day Privacy Policy Design-a-thon, hosted by UC San Diego ethicist and researcher Camille Nebeker in UC San Diego ...

In 2013 the White House Office of Science and Technology Policy (OSTP) instructed all federal agencies with more than $100M in R&D expenditures to develop policies for making the published results and ...

Good research data management (RDM) will benefit you and others throughout your project and beyond. Use the links below to help you organise, preserve and share your research data.

Research Data Management (RDM) is a central component of data-intensive research. The RDM team provides DLR researchers with the appropriate tools and services to help them with both organisational ...

De Montfort University is committed to research excellence and integrity and seeks to promote high standards of research data management throughout the research data lifecycle. The University is ...