0202507090004
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Global Evidence Summit 2024 Oral Presentation: Standardized multilingual collaborative reporting of evidence synthesis Description: This presentation is about 'Standardised Data on Initiatives (STARDIT)' and how it can be used to addresses the lack of standardized reporting for evidence synthesis across disciplines and languages. It provides a framework for sharing details like stakeholder involvement (including patients and the public), data sources, and methods, aiming to improve transparency and collaboration in evidence-based research.
STARDIT improves access to standardized and verified information about evidence synthesis processes, enabling comparisons of the effectiveness of different methods, including the most effective methods of involving stakeholders. By being open access and editable by anyone, STARDIT can support participatory ways of working and help improve the equity and quality of evidence synthesis processes worldwide.
STARDIT ID:
STARDIT ID:
0202507090004
Dates
State completed
Start 2024-07-16
End 2024-11-20
Form updated 2025-07-09
Location
Prague, Czechia
Other IDs
Aims
Provide an overview about 'Standardised Data on Initiatives (STARDIT)' and how it can be used to addresses the lack of standardized reporting for evidence synthesis across disciplines and languages.
Category
research
Inputs
individual
Jack S Nunn (link)
ID: 0000-0003-0316-3254
Task: lead-author and presenter
Method: co-author team
Communication: Emails
Compensation: volunteer
individual
Dr Danielle Kelly Pollock (link)
ID: 0000-0003-4688-5353
Task: co-author
Method: co-author team
Communication: Emails
Compensation: volunteer
individual
Professor Zoe Jordan
Task: co-author
Method: co-author team
Communication: Emails
Compensation: volunteer
individual
Professor Denny John (link)
ID: 0000-0002-4486-632X
Task: co-author
Method: co-author team
Communication: Emails
Compensation: volunteer
individual
Éle Quinn (link)
ID: 0000-0003-3037-9835
Task: co-author
Method: co-author team
Communication: Emails
Compensation: volunteer
individual
Dr Ndi Euphrasia Ebai-Atuh
Task: co-author
Method: co-author team
Communication: Emails
Compensation: volunteer
individual
Ana Beatriz Pizarro (link)
ID: 0009-0009-4498-2935
Task: co-author
Method: co-author team
Communication: Emails
Compensation: volunteer
individual
Dr Helen Bulbeck
Task: co-author
Method: co-author team
Communication: Emails
Compensation: volunteer
Outputs and impacts
publication/report/document
State: Completed
Presentation: (link)
Impact: Presented at the Global Evidence Summit 2024 as an oral presentation
Background: Standardised Data on Initiatives (STARDIT) addresses the lack of standardized reporting for evidence synthesis across disciplines and languages. It provides a framework for sharing details like stakeholder involvement (including patients and the public), data sources, and methods, aiming to improve transparency and collaboration in evidence-based research. Objective: STARDIT will be used to report evidence synthesis across disciplines in a standardized way, collaborating in partnership with patients and people from organizations including JBI, Cochrane, and Campbell. Methods: STARDIT development began in 2019, guided by participatory action research paradigms. A multidisciplinary international team of over 100 citizens, experts, and data users co-created STARDIT. To ensure this project is of relevance and importance to patients, co-creators include patients with cancer, people living with rare diseases, and people affected by other conditions. Co-creators also include Indigenous peoples from multiple countries, representatives involved in evidence synthesis processes, health researchers, environmental researchers, economists, librarians, and academic publishers. Methods of involving people included public events, online discussions, and a public consultation process. STARDIT is free to use, and data can be submitted by anyone. Report authors can be verified to improve trust and transparency, and data can be checked for quality. STARDIT has been designed to align with (not replace) existing reporting standards and methodological approaches, including PRISMA, GRADE, eMERGe, RAMESES, ROSES, and ENTREQ. Results: STARDIT facilitates the co-design of open access, multilingual information about evidence synthesis processes. Anyone can contribute and verify details, empowering stakeholders like patients and the public to be involved in shaping and defining terminology. Organizations like Australian Genomics endorse STARDIT, which is supported and hosted by Wikimedia Australia (see working Beta version at ScienceForAll.World/STARDIT). Conclusions: STARDIT improves access to standardized and verified information about evidence synthesis processes, enabling comparisons of the effectiveness of different methods, including the most effective methods of involving stakeholders. By being open access and editable by anyone, STARDIT can support participatory ways of working and help improve the equity and quality of evidence synthesis processes worldwide.
STARDIT report information
STARDIT report authors
Zachary Munn