• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

关于倡议的标准化数据 - STARDIT:测试版。

Standardised data on initiatives-STARDIT: Beta version.

作者信息

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

机构信息

Director of Science for All (Education Charity Registered in Australia), Melbourne, Australia.

School of Public Health, La Trobe University, Melbourne, VIC, Australia.

出版信息

Res Involv Engagem. 2022 Jul 19;8(1):31. doi: 10.1186/s40900-022-00363-9.

DOI:10.1186/s40900-022-00363-9
PMID:35854364
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9294764/
Abstract

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.

摘要

背景与目标

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。

方法

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。

结果与讨论

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。

结论

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。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/19ab/9295532/c7efe32118c5/40900_2022_363_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/19ab/9295532/024aa91d0205/40900_2022_363_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/19ab/9295532/3938b34a5e9f/40900_2022_363_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/19ab/9295532/38ab00428b34/40900_2022_363_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/19ab/9295532/c629a4b83da5/40900_2022_363_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/19ab/9295532/c7efe32118c5/40900_2022_363_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/19ab/9295532/024aa91d0205/40900_2022_363_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/19ab/9295532/3938b34a5e9f/40900_2022_363_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/19ab/9295532/38ab00428b34/40900_2022_363_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/19ab/9295532/c629a4b83da5/40900_2022_363_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/19ab/9295532/c7efe32118c5/40900_2022_363_Fig5_HTML.jpg

相似文献

1
Standardised data on initiatives-STARDIT: Beta version.关于倡议的标准化数据 - STARDIT:测试版。
Res Involv Engagem. 2022 Jul 19;8(1):31. doi: 10.1186/s40900-022-00363-9.
2
The future of Cochrane Neonatal.考克兰新生儿协作网的未来。
Early Hum Dev. 2020 Nov;150:105191. doi: 10.1016/j.earlhumdev.2020.105191. Epub 2020 Sep 12.
3
Beyond the black stump: rapid reviews of health research issues affecting regional, rural and remote Australia.超越黑木树:影响澳大利亚地区、农村和偏远地区的健康研究问题的快速综述。
Med J Aust. 2020 Dec;213 Suppl 11:S3-S32.e1. doi: 10.5694/mja2.50881.
4
Co-designing genomics research with a large group of donor-conceived siblings.与一大群通过捐赠受孕出生的兄弟姐妹共同设计基因组学研究。
Res Involv Engagem. 2021 Dec 16;7(1):89. doi: 10.1186/s40900-021-00325-7.
5
The Effectiveness of Integrated Care Pathways for Adults and Children in Health Care Settings: A Systematic Review.综合护理路径在医疗环境中对成人和儿童的有效性:一项系统评价。
JBI Libr Syst Rev. 2009;7(3):80-129. doi: 10.11124/01938924-200907030-00001.
6
Involving people affected by a rare condition in shaping future genomic research.让受罕见病影响的人群参与塑造未来的基因组研究。
Res Involv Engagem. 2021 Mar 15;7(1):14. doi: 10.1186/s40900-021-00256-3.
7
Critical Care Network in the State of Qatar.卡塔尔国重症监护网络。
Qatar Med J. 2019 Nov 7;2019(2):2. doi: 10.5339/qmj.2019.qccc.2. eCollection 2019.
8
Involving elderly research participants in the co-design of a future multi-generational cohort study.让老年研究参与者参与未来多代队列研究的协同设计。
Res Involv Engagem. 2021 May 3;7(1):23. doi: 10.1186/s40900-021-00271-4.
9
Promoting and supporting self-management for adults living in the community with physical chronic illness: A systematic review of the effectiveness and meaningfulness of the patient-practitioner encounter.促进和支持社区中患有慢性身体疾病的成年人进行自我管理:对医患互动的有效性和意义的系统评价。
JBI Libr Syst Rev. 2009;7(13):492-582. doi: 10.11124/01938924-200907130-00001.
10
Australia in 2030: what is our path to health for all?2030 年的澳大利亚:全民健康之路在何方?
Med J Aust. 2021 May;214 Suppl 8:S5-S40. doi: 10.5694/mja2.51020.

引用本文的文献

1
Prioritising methodological research questions for scoping reviews, mapping reviews and evidence and gap maps for health research: a protocol for PROSPECT Delphi study.为健康研究的范围综述、图谱综述以及证据与差距图谱确定方法学研究问题的优先级:一项PROSPECT德尔菲研究方案
BMJ Open. 2025 Aug 4;15(8):e096298. doi: 10.1136/bmjopen-2024-096298.
2
Identification of core outcomes for quality in routine care provided to people living with dementia in Australia: a multilevel modified Delphi consensus study.澳大利亚痴呆症患者常规护理质量核心结局的识别:一项多层次改良德尔菲共识研究
BMJ Open. 2025 Jun 18;15(6):e096059. doi: 10.1136/bmjopen-2024-096059.
3

本文引用的文献

1
Co-designing genomics research with a large group of donor-conceived siblings.与一大群通过捐赠受孕出生的兄弟姐妹共同设计基因组学研究。
Res Involv Engagem. 2021 Dec 16;7(1):89. doi: 10.1186/s40900-021-00325-7.
2
A Pathway to Precision Medicine for Aboriginal Australians: A Study Protocol.澳大利亚原住民精准医疗之路:一项研究方案。
Methods Protoc. 2021 Jun 21;4(2):42. doi: 10.3390/mps4020042.
3
Involving elderly research participants in the co-design of a future multi-generational cohort study.让老年研究参与者参与未来多代队列研究的协同设计。
"I just don't know enough": Australian perspectives on community involvement in health and medical research.
“我了解得还不够多”:澳大利亚人对社区参与卫生与医学研究的看法。
Res Involv Engagem. 2024 Nov 28;10(1):126. doi: 10.1186/s40900-024-00633-8.
4
Measuring the success of programmes of care for people living with dementia: a protocol for consensus building with consumers to develop a set of Core Outcome Measures for Improving Care (COM-IC).衡量痴呆症患者护理计划的成效:与消费者达成共识以制定一套改善护理的核心结局测量指标(COM-IC)的方案。
BMJ Open. 2023 Dec 10;13(12):e073884. doi: 10.1136/bmjopen-2023-073884.
5
Co-designing genomics research with a large group of donor-conceived siblings.与一大群通过捐赠受孕出生的兄弟姐妹共同设计基因组学研究。
Res Involv Engagem. 2021 Dec 16;7(1):89. doi: 10.1186/s40900-021-00325-7.
6
A Pathway to Precision Medicine for Aboriginal Australians: A Study Protocol.澳大利亚原住民精准医疗之路:一项研究方案。
Methods Protoc. 2021 Jun 21;4(2):42. doi: 10.3390/mps4020042.
7
Involving elderly research participants in the co-design of a future multi-generational cohort study.让老年研究参与者参与未来多代队列研究的协同设计。
Res Involv Engagem. 2021 May 3;7(1):23. doi: 10.1186/s40900-021-00271-4.
8
Involving people affected by a rare condition in shaping future genomic research.让受罕见病影响的人群参与塑造未来的基因组研究。
Res Involv Engagem. 2021 Mar 15;7(1):14. doi: 10.1186/s40900-021-00256-3.
Res Involv Engagem. 2021 May 3;7(1):23. doi: 10.1186/s40900-021-00271-4.
4
Involving people affected by a rare condition in shaping future genomic research.让受罕见病影响的人群参与塑造未来的基因组研究。
Res Involv Engagem. 2021 Mar 15;7(1):14. doi: 10.1186/s40900-021-00256-3.
5
Patient and public involvement in doctoral research: reflections and experiences of the PPI contributors and researcher.患者及公众参与博士研究:PPI参与者与研究者的思考及经验
Res Involv Engagem. 2020 May 11;6:23. doi: 10.1186/s40900-020-00201-w. eCollection 2020.
6
The majority of reporting guidelines are not developed with the Delphi method: a systematic review of reporting guidelines.大多数报告指南并非采用德尔菲法制定:报告指南的系统评价。
J Clin Epidemiol. 2020 Aug;124:50-57. doi: 10.1016/j.jclinepi.2020.04.010. Epub 2020 Apr 14.
7
Wikidata as a knowledge graph for the life sciences.Wikidata 作为生命科学的知识图谱。
Elife. 2020 Mar 17;9:e52614. doi: 10.7554/eLife.52614.
8
Wikidata: A large-scale collaborative ontological medical database.Wikidata:一个大规模的协作本体医学数据库。
J Biomed Inform. 2019 Nov;99:103292. doi: 10.1016/j.jbi.2019.103292. Epub 2019 Sep 23.
9
Fostering public trust in science: The role of social media.培育公众对科学的信任:社交媒体的作用。
Public Underst Sci. 2019 Oct;28(7):759-777. doi: 10.1177/0963662519869097.
10
The problem with delineating narrow criteria for citizen science.为公民科学划定狭窄标准的问题。
Proc Natl Acad Sci U S A. 2019 Jul 30;116(31):15336-15337. doi: 10.1073/pnas.1909278116.