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
Director of Science for All (Education Charity Registered in Australia), Melbourne, Australia.
School of Public Health, La Trobe University, Melbourne, VIC, Australia.
Res Involv Engagem. 2022 Jul 19;8(1):31. doi: 10.1186/s40900-022-00363-9.
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.
目前,尚无跨学科共享有关倡议(包括健康、环境、基础科学、制造业、媒体和国际发展等领域)信息的标准化方法。所有问题,包括空气污染和大流行等复杂的全球性问题,都需要跨学科之间可靠的数据共享才能有效应对。当前的报告方法也缺乏关于不同人员和组织参与倡议方式的信息,这使得整理和评估关于让不同人员参与的最有效方式的数据变得困难。STARDIT(倡议标准化数据)的目标是解决当前在共享倡议数据方面的局限性和不一致性。STARDIT系统具有关于倡议的标准化数据报告功能,包括涉及哪些人员、他们执行了哪些任务以及观察到的任何影响。创建STARDIT是为了帮助世界上的每个人查找和理解有关集体人类行动(即“倡议”)的信息。STARDIT能够跨学科以标准化方式报告多类数据,便于对倡议进行评估,并有助于综合证据以找到人们参与倡议的最有效方式。本文概述了STARDIT迄今为止的进展、当前使用情况、提交报告的相关信息、计划的下一步措施以及任何人如何参与其中。
STARDIT的开发以参与式行动研究范式为指导,并与来自多个学科和国家的人员共同创建。共同作者包括癌症患者、罕见病患者、健康研究人员、环境研究人员、经济学家、图书馆员和学术出版商。共同作者还与来自多个国家的原住民合作,并与一个与澳大利亚原住民合作的组织建立了伙伴关系。
自2019年以来,来自多个学科和国家的100多人参与了STARDIT的共同设计。STARDIT是首个基于网络的开放获取数据共享系统,它规范了跨不同领域和学科报告倡议信息的方式,包括哪些利益相关者执行了哪些任务的信息。STARDIT旨在与现有的数据标准协同工作。STARDIT数据将发布到公共领域(CC0)并整合到维基数据中;它支持多种语言,并且可供人类和机器读取。报告可以在倡议的整个生命周期内(从规划到评估)进行更新,允许任何人参与报告影响和成果。STARDIT是首个能够跨学科共享倡议标准化数据的系统。一个可用的测试版于2021年2月公开发布(ScienceforAll.World/STARDIT)。随后,为多个期刊的同行评审研究和多个研究项目创建了STARDIT报告,证明了其可用性。此外,包括考科蓝协作网和澳大利亚基因组学在内的组织已经创建了前瞻性报告,概述了计划中的倡议。
STARDIT有助于创建关于试图解决复杂多学科全球问题的倡议的高质量标准化信息。