3/3: We hope this project will facilitate our understanding of generalisability in meta-research conclusions and increase engagement with equity, diversity, and inclusion.

#RRiA #EDI

2/3: iRISE members Kaitlyn Hair & Stephanie Zellers led a project Describing REpresentation of Articles in Meta-Research (DREAMR), where they made progress creating a user-friendly web application to create bibliometric sample characteristic tables for meta-research studies.

9/9:
Seeing the tangible progress made & discussing future strategies to maximise the impact of our project was truly invigorating. We are grateful for the enthusiastic participation of all attendees & look forward to continuing our collaborative efforts to improve reproducibility.

#Reproducibility

8/9:

· A productive discussion on the iRISE framework, which will serve as a resource for assessing evidence and making informed decisions about implementing interventions to improve reproducibility.

7/9:

· Insights into ongoing research focused on the interface of reproducibility and research culture, alongside preparations for the upcoming project at Responsible Research in Action (RRiA) Unconference in Berlin, Describing REpresentation of Articles in Meta-Research (DREAMR).

6/9:

· A discussion focussed on the challenges of measuring reproducibility and the upcoming work in this area.

5/9:

· An update on the iRISE Delphi, where stakeholders prioritised reproducibility measures and interventions to improve reproducibility, and the upcoming focus groups where stakeholders will explore the barriers and facilitators of these prioritised interventions.

4/9:

· Detailed discussions on the iRISE-Systematic Online Living Evidence Summary (SOLES). This tool is designed to distil evidence-based interventions to inform policy-making.

3/9:

· An engaging presentation "A Day in the Life of a Reproducibility Reviewer," detailing the experiences within the ongoing computational reproducibility trial at iRISE. This provided a deeper understanding of the challenges & opportunities in improving computational reproducibility.

2/9: The session sparked insightful discussions and generated ideas to help ensure the iRISE project's results are useful to the research community and beyond. Among the key highlights were:

3/3: We'll soon announce dates for our upcoming online Train-the-Trainer workshops on reproducibility. We look forward to continuing to build connections and expanding our community of dedicated trainers.

#Reproducibility

2/3: We had the pleasure of meeting a fantastic group of passionate individuals eager to enhance their skills. Engaging with each of you made the day exceptional.