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Standardised data on initiatives—STARDIT: Beta version

BACKGROUND AND 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 pol...

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Autores principales: Nunn, Jack S., Shafee, Thomas, Chang, Steven, Stephens, Richard, Elliott, Jim, Oliver, Sandy, John, Denny, Smith, Maureen, Orr, Neil, Preston, Jennifer, Borthwick, Josephine, van Vlijmen, Thijs, Ansell, James, Houyez, Francois, de Sousa, Maria Sharmila Alina, Plotz, Roan D., Oliver, Jessica L., Golumbic, Yaela, Macniven, Rona, Wines, Samuel, Borda, Ann, da Silva Hyldmo, Håkon, Hsing, Pen-Yuan, Denis, Lena, Thompson, Carolyn
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9294764/
https://www.ncbi.nlm.nih.gov/pubmed/35854364
http://dx.doi.org/10.1186/s40900-022-00363-9
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author Nunn, Jack S.
Shafee, Thomas
Chang, Steven
Stephens, Richard
Elliott, Jim
Oliver, Sandy
John, Denny
Smith, Maureen
Orr, Neil
Preston, Jennifer
Borthwick, Josephine
van Vlijmen, Thijs
Ansell, James
Houyez, Francois
de Sousa, Maria Sharmila Alina
Plotz, Roan D.
Oliver, Jessica L.
Golumbic, Yaela
Macniven, Rona
Wines, Samuel
Borda, Ann
da Silva Hyldmo, Håkon
Hsing, Pen-Yuan
Denis, Lena
Thompson, Carolyn
author_facet Nunn, Jack S.
Shafee, Thomas
Chang, Steven
Stephens, Richard
Elliott, Jim
Oliver, Sandy
John, Denny
Smith, Maureen
Orr, Neil
Preston, Jennifer
Borthwick, Josephine
van Vlijmen, Thijs
Ansell, James
Houyez, Francois
de Sousa, Maria Sharmila Alina
Plotz, Roan D.
Oliver, Jessica L.
Golumbic, Yaela
Macniven, Rona
Wines, Samuel
Borda, Ann
da Silva Hyldmo, Håkon
Hsing, Pen-Yuan
Denis, Lena
Thompson, Carolyn
author_sort Nunn, Jack S.
collection PubMed
description BACKGROUND AND 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: 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: 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: STARDIT can help create high-quality standardised information on initiatives trying to solve complex multidisciplinary global problems. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s40900-022-00363-9.
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spelling pubmed-92947642022-07-19 Standardised data on initiatives—STARDIT: Beta version Nunn, Jack S. Shafee, Thomas Chang, Steven Stephens, Richard Elliott, Jim Oliver, Sandy John, Denny Smith, Maureen Orr, Neil Preston, Jennifer Borthwick, Josephine van Vlijmen, Thijs Ansell, James Houyez, Francois de Sousa, Maria Sharmila Alina Plotz, Roan D. Oliver, Jessica L. Golumbic, Yaela Macniven, Rona Wines, Samuel Borda, Ann da Silva Hyldmo, Håkon Hsing, Pen-Yuan Denis, Lena Thompson, Carolyn Res Involv Engagem Research Article BACKGROUND AND 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: 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: 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: STARDIT can help create high-quality standardised information on initiatives trying to solve complex multidisciplinary global problems. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s40900-022-00363-9. BioMed Central 2022-07-19 /pmc/articles/PMC9294764/ /pubmed/35854364 http://dx.doi.org/10.1186/s40900-022-00363-9 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research Article
Nunn, Jack S.
Shafee, Thomas
Chang, Steven
Stephens, Richard
Elliott, Jim
Oliver, Sandy
John, Denny
Smith, Maureen
Orr, Neil
Preston, Jennifer
Borthwick, Josephine
van Vlijmen, Thijs
Ansell, James
Houyez, Francois
de Sousa, Maria Sharmila Alina
Plotz, Roan D.
Oliver, Jessica L.
Golumbic, Yaela
Macniven, Rona
Wines, Samuel
Borda, Ann
da Silva Hyldmo, Håkon
Hsing, Pen-Yuan
Denis, Lena
Thompson, Carolyn
Standardised data on initiatives—STARDIT: Beta version
title Standardised data on initiatives—STARDIT: Beta version
title_full Standardised data on initiatives—STARDIT: Beta version
title_fullStr Standardised data on initiatives—STARDIT: Beta version
title_full_unstemmed Standardised data on initiatives—STARDIT: Beta version
title_short Standardised data on initiatives—STARDIT: Beta version
title_sort standardised data on initiatives—stardit: beta version
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9294764/
https://www.ncbi.nlm.nih.gov/pubmed/35854364
http://dx.doi.org/10.1186/s40900-022-00363-9
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