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Fresh writing on open science, research data, and the RDL ecosystem.
11 articles · tag: #open-science
Clear #open-science 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.
Peer Review Explained: Types and How It Works
Peer review is the quality check at the heart of research — but it comes in several forms. A guide to single-blind, double-blind, and open review, plus their strengths and blind spots.
Understanding Citations and Research Impact
Citation counts, the h-index, and altmetrics all try to measure impact — imperfectly. A plain-language guide to what these metrics mean, what they miss, and how to build genuine impact.
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.
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.
How to Cite a Dataset Correctly
Datasets deserve citations just like articles do. Learn the standard elements of a data citation, why the DOI is essential, and how proper data citation earns researchers credit for their data.
Preprints Explained: Faster, Open Sharing of Research
A preprint lets you share findings before formal peer review, speeding up science and staking your claim early. Learn how preprints work, their benefits and trade-offs, and how open review is changing them.
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.
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.
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.
What Is a DOI and Why Every Researcher Should Have One
A DOI is a permanent link to your research that never breaks. Learn what a Digital Object Identifier is, how DataCite and Crossref assign them, and why datasets, preprints, and theses all deserve one.