Standardised Data on Initiatives – STARDIT: Beta Version

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Nunn, Jack, Shafee, Thomas, Chang, Steven, Stephens, Richard, Elliot, Jim, Oliver, Sandy, John, Denny, Smith, Maureen, Orr, Neil, Preston, Jennifer, Borthwick, Jennifer, van Vlijmen, Thijs, Ansell, James, Houyez, Francois, de Sousa, Maria Sharmila Alina, Plotz, Roan ORCID: 0000-0001-7192-9931, Oliver, Jessica, Golumbic, Yaela, Macniven, Rona, Wines, Samuel, Borda, Ann, da Silva Hyldmo, Håkon, Hsing, Pen-Yuan and Thompson, Carolyn (2022) Standardised Data on Initiatives – STARDIT: Beta Version. Research involvement and engagement. ISSN 2056-7529

Abstract

There is currently no standardised way to share information across disciplines about initiatives, including felds 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 efectively. Current reporting methods also lack information about the ways in which diferent people and organisations are involved in initiatives, making it difcult to collate and appraise data about the most efective ways to involve diferent 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 fnd 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.

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Item type Article
URI https://vuir.vu.edu.au/id/eprint/43052
DOI https://doi.org/10.1186/s40900-022-00363-9
Official URL https://researchinvolvement.biomedcentral.com/arti...
Subjects Current > FOR (2020) Classification > 4605 Data management and data science
Current > Division/Research > College of Science and Engineering
Current > Division/Research > Institute for Sustainable Industries and Liveable Cities
Keywords data, participatory, democracy, evidence, systematic, genomics, health
Citations in Scopus 0 - View on Scopus
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