In this page, we collected quick links to topics of particular interest for researchers. Navigate to the research data lifecycle if you are looking for something that does not appear below.
Data management plans describe how data is managed and documented throughout a research project. They also discuss deposit for long-term preservation.
When carrying out research, you should ensure you comply with relevant funders’ policies. However, you should not forget your organisation might have policies, too.
Performing research data management is an investment of both time and money. Therefore, costing it appropriately in a research data management plan is essential.
Some general information and high-level sources on RDM if you are just beginning to learn the topic.
A downloadable checklist to ensure you are managing your project data appropriately.
Before starting practical work, storage and backup solutions must be selected. Good choices will mean data is safe during a research project, including in the case of unpredicted problems.
Data preservation aims to keep both content (data) and context (metadata) safe for future reuse. Preservation is made significantly easier when considered in your data management planning process.
Personally-identifiable information needs to be treated very carefully. It is indispensable in many research fields, although its misuse might lead to high fines and ethical issues.
Choosing where to deposit research data is a crucial matter. It highly affects its impact, reach and audience. Making the right choice leads to increased citations and data reuse.
Quick access to relevant RDM information and guidance provided by your institution.
Add/update a link to your institutional RDM pageTo suggest changes, or new content to be included in the toolkit, please get in touch.
