News
Fresh writing on open science, research data, and the RDL ecosystem.
6 articles · tag: #research-data-management
Clear #research-data-management filterWriting a Great Dataset README
A README is the front door to your dataset. Learn what to put in it so anyone — including future you — can understand, trust, and reuse your data without asking for help.
Sharing Sensitive Data Responsibly
Sensitive data can still be shared — carefully. An introduction to anonymization, controlled access, and the principle of "as open as possible, as closed as necessary."
Why Metadata Matters (and How to Write Good Metadata)
Metadata is the data about your data — and it decides whether your work can be found and reused. Learn what good metadata contains and how to write it so both humans and machines understand your dataset.
How to Share Your Research Data: A Step-by-Step Guide
Sharing data well is a repeatable process, not an afterthought. A practical, step-by-step guide to preparing, documenting, licensing, and depositing your research data so others can find and reuse it.
How to Write a Research Data Management Plan (DMP)
A Data Management Plan is now required by most major funders. Learn what a DMP covers, from collection and storage to sharing and licensing, with a practical section-by-section template.
The FAIR Principles Explained: Making Research Data Findable, Accessible, Interoperable, and Reusable
FAIR data is the global standard for sharing research so both humans and machines can use it. Here is a plain-language guide to the Findable, Accessible, Interoperable, and Reusable principles and how to apply them.