Standardised data on initiatives-STARDIT: Beta version.

Data Democracy Evidence Genomics Health Indigenous Open Participatory Standardised Systematic

Journal

Research involvement and engagement
ISSN: 2056-7529
Titre abrégé: Res Involv Engagem
Pays: England
ID NLM: 101708164

Informations de publication

Date de publication:
19 Jul 2022
Historique:
received: 29 09 2021
accepted: 20 06 2022
entrez: 19 7 2022
pubmed: 20 7 2022
medline: 20 7 2022
Statut: epublish

Résumé

There is currently no standardised way to share information across disciplines about initiatives, including fields such as health, environment, basic science, manufacturing, media and international development. All problems, including complex global problems such as air pollution and pandemics require reliable data sharing between disciplines in order to respond effectively. Current reporting methods also lack information about the ways in which different people and organisations are involved in initiatives, making it difficult to collate and appraise data about the most effective ways to involve different people. The objective of STARDIT (Standardised Data on Initiatives) is to address current limitations and inconsistencies in sharing data about initiatives. The STARDIT system features standardised data reporting about initiatives, including who has been involved, what tasks they did, and any impacts observed. STARDIT was created to help everyone in the world find and understand information about collective human actions, which are referred to as 'initiatives'. STARDIT enables multiple categories of data to be reported in a standardised way across disciplines, facilitating appraisal of initiatives and aiding synthesis of evidence for the most effective ways for people to be involved in initiatives. This article outlines progress to date on STARDIT; current usage; information about submitting reports; planned next steps and how anyone can become involved. STARDIT development is guided by participatory action research paradigms, and has been co-created with people from multiple disciplines and countries. Co-authors include cancer patients, people affected by rare diseases, health researchers, environmental researchers, economists, librarians and academic publishers. The co-authors also worked with Indigenous peoples from multiple countries and in partnership with an organisation working with Indigenous Australians. Over 100 people from multiple disciplines and countries have been involved in co-designing STARDIT since 2019. STARDIT is the first open access web-based data-sharing system which standardises the way that information about initiatives is reported across diverse fields and disciplines, including information about which tasks were done by which stakeholders. STARDIT is designed to work with existing data standards. STARDIT data will be released into the public domain (CC0) and integrated into Wikidata; it works across multiple languages and is both human and machine readable. Reports can be updated throughout the lifetime of an initiative, from planning to evaluation, allowing anyone to be involved in reporting impacts and outcomes. STARDIT is the first system that enables sharing of standardised data about initiatives across disciplines. A working Beta version was publicly released in February 2021 (ScienceforAll.World/STARDIT). Subsequently, STARDIT reports have been created for peer-reviewed research in multiple journals and multiple research projects, demonstrating the usability. In addition, organisations including Cochrane and Australian Genomics have created prospective reports outlining planned initiatives. STARDIT can help create high-quality standardised information on initiatives trying to solve complex multidisciplinary global problems. All major problems, including complex global problems such as air pollution and pandemics, require reliable data sharing between disciplines in order to respond effectively. Such problems require evidence-informed collaborative methods, multidisciplinary research and interventions in which the people who are affected are involved in every stage. However, there is currently no standardised way to share information about initiatives and problem-solving across and between fields such as health, environment, basic science, manufacturing, education, media and international development. A multi-disciplinary international team of over 100 citizens, experts and data-users has been involved in co-creating STARDIT to help everyone in the world share, find and understand information about collective human actions, which are referred to as ‘initiatives’. STARDIT is an open access data-sharing system to standardise the way that information about initiatives is reported, including information about which tasks were done by different people. Reports can be updated at all stages, from planning to evaluation, and can report impacts in many languages, using Wikidata. STARDIT is free to use, and data can be submitted by anyone. Report authors can be verified to improve trust and transparency, and data checked for quality. STARDIT can help create high-quality standardised information on initiatives trying to solve complex multidisciplinary global problems. Among its main benefits, STARDIT offers those carrying out research and interventions access to standardised information which enables well-founded comparisons of the effectiveness of different methods. This article outlines progress to date; current usage; information about submitting reports; planned next steps and how anyone can become involved.

Sections du résumé

BACKGROUND AND OBJECTIVE OBJECTIVE
There is currently no standardised way to share information across disciplines about initiatives, including fields such as health, environment, basic science, manufacturing, media and international development. All problems, including complex global problems such as air pollution and pandemics require reliable data sharing between disciplines in order to respond effectively. Current reporting methods also lack information about the ways in which different people and organisations are involved in initiatives, making it difficult to collate and appraise data about the most effective ways to involve different people. The objective of STARDIT (Standardised Data on Initiatives) is to address current limitations and inconsistencies in sharing data about initiatives. The STARDIT system features standardised data reporting about initiatives, including who has been involved, what tasks they did, and any impacts observed. STARDIT was created to help everyone in the world find and understand information about collective human actions, which are referred to as 'initiatives'. STARDIT enables multiple categories of data to be reported in a standardised way across disciplines, facilitating appraisal of initiatives and aiding synthesis of evidence for the most effective ways for people to be involved in initiatives. This article outlines progress to date on STARDIT; current usage; information about submitting reports; planned next steps and how anyone can become involved.
METHOD METHODS
STARDIT development is guided by participatory action research paradigms, and has been co-created with people from multiple disciplines and countries. Co-authors include cancer patients, people affected by rare diseases, health researchers, environmental researchers, economists, librarians and academic publishers. The co-authors also worked with Indigenous peoples from multiple countries and in partnership with an organisation working with Indigenous Australians.
RESULTS AND DISCUSSION CONCLUSIONS
Over 100 people from multiple disciplines and countries have been involved in co-designing STARDIT since 2019. STARDIT is the first open access web-based data-sharing system which standardises the way that information about initiatives is reported across diverse fields and disciplines, including information about which tasks were done by which stakeholders. STARDIT is designed to work with existing data standards. STARDIT data will be released into the public domain (CC0) and integrated into Wikidata; it works across multiple languages and is both human and machine readable. Reports can be updated throughout the lifetime of an initiative, from planning to evaluation, allowing anyone to be involved in reporting impacts and outcomes. STARDIT is the first system that enables sharing of standardised data about initiatives across disciplines. A working Beta version was publicly released in February 2021 (ScienceforAll.World/STARDIT). Subsequently, STARDIT reports have been created for peer-reviewed research in multiple journals and multiple research projects, demonstrating the usability. In addition, organisations including Cochrane and Australian Genomics have created prospective reports outlining planned initiatives.
CONCLUSIONS CONCLUSIONS
STARDIT can help create high-quality standardised information on initiatives trying to solve complex multidisciplinary global problems.
All major problems, including complex global problems such as air pollution and pandemics, require reliable data sharing between disciplines in order to respond effectively. Such problems require evidence-informed collaborative methods, multidisciplinary research and interventions in which the people who are affected are involved in every stage. However, there is currently no standardised way to share information about initiatives and problem-solving across and between fields such as health, environment, basic science, manufacturing, education, media and international development. A multi-disciplinary international team of over 100 citizens, experts and data-users has been involved in co-creating STARDIT to help everyone in the world share, find and understand information about collective human actions, which are referred to as ‘initiatives’. STARDIT is an open access data-sharing system to standardise the way that information about initiatives is reported, including information about which tasks were done by different people. Reports can be updated at all stages, from planning to evaluation, and can report impacts in many languages, using Wikidata. STARDIT is free to use, and data can be submitted by anyone. Report authors can be verified to improve trust and transparency, and data checked for quality. STARDIT can help create high-quality standardised information on initiatives trying to solve complex multidisciplinary global problems. Among its main benefits, STARDIT offers those carrying out research and interventions access to standardised information which enables well-founded comparisons of the effectiveness of different methods. This article outlines progress to date; current usage; information about submitting reports; planned next steps and how anyone can become involved.

Autres résumés

Type: plain-language-summary (eng)
All major problems, including complex global problems such as air pollution and pandemics, require reliable data sharing between disciplines in order to respond effectively. Such problems require evidence-informed collaborative methods, multidisciplinary research and interventions in which the people who are affected are involved in every stage. However, there is currently no standardised way to share information about initiatives and problem-solving across and between fields such as health, environment, basic science, manufacturing, education, media and international development. A multi-disciplinary international team of over 100 citizens, experts and data-users has been involved in co-creating STARDIT to help everyone in the world share, find and understand information about collective human actions, which are referred to as ‘initiatives’. STARDIT is an open access data-sharing system to standardise the way that information about initiatives is reported, including information about which tasks were done by different people. Reports can be updated at all stages, from planning to evaluation, and can report impacts in many languages, using Wikidata. STARDIT is free to use, and data can be submitted by anyone. Report authors can be verified to improve trust and transparency, and data checked for quality. STARDIT can help create high-quality standardised information on initiatives trying to solve complex multidisciplinary global problems. Among its main benefits, STARDIT offers those carrying out research and interventions access to standardised information which enables well-founded comparisons of the effectiveness of different methods. This article outlines progress to date; current usage; information about submitting reports; planned next steps and how anyone can become involved.

Identifiants

pubmed: 35854364
doi: 10.1186/s40900-022-00363-9
pii: 10.1186/s40900-022-00363-9
pmc: PMC9294764
doi:

Types de publication

Journal Article

Langues

eng

Pagination

31

Informations de copyright

© 2022. The Author(s).

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Auteurs

Jack S Nunn (JS)

Director of Science for All (Education Charity Registered in Australia), Melbourne, Australia. Jack.Nunn@ScienceForAll.World.
School of Public Health, La Trobe University, Melbourne, VIC, Australia. Jack.Nunn@ScienceForAll.World.

Thomas Shafee (T)

School of Life Sciences, La Trobe University, Melbourne, VIC, Australia.

Steven Chang (S)

La Trobe University, Melbourne, VIC, Australia.

Richard Stephens (R)

Patient Advocate, Co-Editor-in-Chief, 'Research Involvement and Engagement', London, UK.

Jim Elliott (J)

Public Involvement Lead at Health Research Authority (England), London, UK.

Sandy Oliver (S)

Professor of Public Policy at UCL Social Research Institute, London, UK.
University of Johannesburg, Johannesburg, South Africa.

Denny John (D)

Adjunct Professor, Ramaiah University of Applied Sciences, Bengaluru, India.
Chair, Campbell and Cochrane Economic Methods Group, London, UK.

Maureen Smith (M)

Cochrane Consumer Executive Chair, Ottawa, Canada.

Neil Orr (N)

Department of Linguistics, Faculty of Medicine, Health and Human Sciences, Macquarie University, Sydney, Australia.
Poche Centre Indigenous Health, The University of Sydney, Sydney, Australia.

Jennifer Preston (J)

National Institute for Health and Care Research, Alder Hey Clinical Research Facility, Liverpool, UK.

Josephine Borthwick (J)

University of Melbourne, Melbourne, Australia.

Thijs van Vlijmen (T)

Taylor and Francis, Abingdon, UK.

James Ansell (J)

Consumers Health Forum of Australia, Deakin, Australia.

Francois Houyez (F)

European Organisation for Rare Diseases, Paris, France.

Maria Sharmila Alina de Sousa (MSA)

Independent Impact Intelligence Design & Strategy Consultant, Research Impact Academy Brazil Ambassador, Sao Paulo, Brazil.

Roan D Plotz (RD)

Applied Ecology and Environmental Change Research Group, Institute for Sustainable Industries and Liveable Cities, Victoria University, Melbourne, Australia.

Jessica L Oliver (JL)

Australian Citizen Science Association, Sydney, Australia.

Yaela Golumbic (Y)

University of Sydney, Sydney, Australia.

Rona Macniven (R)

The Poche Centre for Indigenous Health, Faculty of Medicine and Health, The University of Sydney, Sydney, NSW, 2006, Australia.
School of Population Health, Faculty of Medicine and Health, University of New South Wales, Sydney, Sydney, 2052, Australia.
Faculty of Medicine, Health and Human Sciences, Macquarie University, Sydney, 2109, Australia.

Samuel Wines (S)

Co-Labs Melbourne, Melbourne, Australia.

Ann Borda (A)

University of Melbourne, Melbourne, Australia.
University College London, London, UK.

Håkon da Silva Hyldmo (H)

Department of Geography, Norwegian University of Science and Technology, Trondheim, Norway.

Pen-Yuan Hsing (PY)

University of Bath, Bath, UK.
MammalWeb Project, London, UK.

Lena Denis (L)

Johns Hopkins University, Baltimore, USA.

Carolyn Thompson (C)

University College London, London, UK.
Institute of Zoology, Zoological Society of London, London, UK.

Classifications MeSH