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Fresh writing on open science, research data, and the RDL ecosystem.
8 articles · tag: #open-data
Clear #open-data filterGetting Started with Open Science
Open science sounds big, but you can start small. A practical first-steps guide to making your research more open, transparent, and reusable — without overhauling how you work.
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."
Choosing a Data Repository: What to Look For
Where you deposit your data shapes whether it lasts and gets found. A checklist for choosing a trustworthy data repository — persistent identifiers, preservation, licensing, and discoverability.
What Is Research Data? Types and Examples
Research data is more than spreadsheets. A clear overview of the main types — observational, experimental, simulation, and derived — with examples and why classifying yours matters for sharing.
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.
The Reproducibility Crisis and How Data Sharing Helps
Many published findings are hard to reproduce, and hidden data is a big reason why. Learn what the reproducibility crisis is, why it happens, and how open data and transparent methods rebuild trust in research.
Choosing a License for Your Research Data: CC BY, CC0, and Beyond
Without a license, your dataset is legally ambiguous and hard to reuse. This guide compares CC BY, CC0, and other Creative Commons options so you can pick the right one for open research data.
Open Access vs Open Data: What's the Difference?
Open access and open data are related but not the same. This guide explains how free-to-read publications differ from reusable research data, and why modern open science needs both.