Discover ARIADNE
Your Guide to Transparent & Reproducible Research
We are excited to share ARIADNE, a curated scientific resource navigator developed with colleagues to support researchers in the life sciences — especially early-career researchers — in conducting transparent and reproducible projects from start to finish. The tool guides users through 10 key research steps, each paired with tried-and-tested resources.
💡 Have a favorite resource we should include? |
Join Team Credit's Hackathon |
Team Credit is hosting an interactive online hackathon for all FORRT members to help ensure that everyone’s contributions are properly recognised and no work goes unnoticed. Together, we’ll identify often-overlooked roles and develop clearer, fairer ways to credit them, under the skillful guidance of Ana Carolina Marinho.
No prior experience needed — everyone is warmly welcome!
We look forward to seeing many of you there! |
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We are excited to share major updates from the FORRT Replication Database (FReD) — now featuring 1,000+ replication findings in psychology and related fields! 🧭 Explorer App – Browse, filter, and visualise replication outcomes using multiple success criteria (e.g., significance, CI/PI consistency, homogeneity, Small Telescopes, and more). 📝 FLoRA Annotator – Instantly identify which studies in a reference list or article have been replicated — and what the outcomes were.
These tools are developed in partnership with the Center for Open Science (COS), strengthening our shared commitment to transparent and reproducible research.
Coming Soon: We’re close to releasing the Zotero Replication Checker plugin, allowing researchers to check directly within their Zotero libraries which studies have been replicated — and how. To make it globally accessible, we’re looking for native or highly fluent speakers to quickly (5–10 minutes) review AI-drafted translations in the following languages: How to help:
• Go to the repository.
• Compare the English file (en-US/replication-checker.ftl) with the file of your selected language.
• Reply with corrections (if any). Your help will make the plugin truly usable for researchers worldwide — thank you! 🙏 |
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Last Chance to Register for Love Replications Week | March 2–6 | 🔍 What is Love Replications Week? Love Replications Week is an open, community-driven initiative where you can: Learn how to do reproduction and replication studies Join or submit local or virtual events Celebrate the role of repeatability in trustworthy science
Replication (new data) and reproduction (same data) are core to research integrity - yet they’re still too rare. This week highlights why they matter across disciplines. Each day, there will be a 15 minutes online presentation on a specific topic, followed by 15 minutes for Q&A. Let’s strengthen science together—one replication at a time. 💙 |
Making Replications Count Hackathon
| May 4–6 | in-person |
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Three days.
Four open tools.
One goal: make replication studies impossible to ignore.
Travel & accommodation covered (UKRI-funded).
We’ll build:
Looking for coders, data wranglers, UX folks & open science enthusiasts. |
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Call for Replicators – NanoBubbles Replication Project |
The NanoBubbles replication initiative is inviting independent research teams in nano- and physical chemistry to reproduce results from a high-impact nanoscience study. Their first replication targeted the widely cited 2012 Angewandte Chemie paper on carbon quantum dots for intracellular copper sensing. Using preregistered, peer-reviewed protocols and open science practices, their replication study found major discrepancies with the original findings — including quantum yields ~20× lower than reported and no fluorescence response to Cu²⁺. They now invite independent labs to replicate their replication to evaluate the robustness and reproducibility of CQD-based sensing claims.
What’s offered: Financial support 3–5 month project timeline Joint open-access publication (no NanoBubbles co-authorship) Full open data deposition on Zenodo
Deadline: March 6, 2026 (17:00) Full details and application form available here. |
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Join the Programme Committee:
FORRT AI for Meta-Science Workshop FORRT is preparing an online workshop on AI for Meta-Science in Spring 2026 — and we’re assembling a Programme Committee!
We’re seeking volunteers to help shape the workshop’s themes, craft the call for submissions, and organise sessions. Possible focus areas include: AI-assisted data extraction Error and anomaly detection Automating systematic reviews Generative tools for reproduction/replication Bias and ethical issues in AI-driven meta-science
➡️ Interested? Contact Lukas Wallrich.
Let’s build something exciting together! ✨ |
FORRT Outreach - New members!
We’re recruiting new Team Outreach members to craft our monthly newsletter, create social media content, and dream up fresh ways to spread the word (bring your ideas!). Great fit if you: enjoy creative science communication. want to make a real impact in open scholarship. are open to learning — no prior experience required!
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Find out about ongoing projects you can get involved with, and where to contact to find out more.
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Learn how to join our efforts toward advancing research transparency, reproducibility, rigor, and ethics through pedagogical reform.
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Many FORRT project teams meet regularly, and anyone is welcome to join.
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We ask everyone at FORRT to read our CoC and abide by it in all FORRT-related interactions and spaces.
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Selection of previous FORRT publications you might have missed: Azevedo, F., Parsons, S., Micheli, L., Strand, J., Rinke, E., … & FORRT. (2019). Introducing a Framework for Open and Reproducible Research Training (FORRT). Röseler, L., Kaiser, L., Doetsch, C. A., Klett, N., Seida, C., Schütz, A., … Zhang, Y., Mr. (2024). The Replication Database: Documenting the Replicability of Psychological Science. Pownall, M., Ghai, S., Fassi, L., Hayes, G., Schaaf, M., Chin, C., … Orben, A. (2024). What does Open Science mean for Educational Technology Research? Challenges, Opportunities, and a Call for Research.
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This newsletter is licensed under a Creative Commons Attribution 4.0 International License (CC BY 4.0).
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