Michela Taufer, Valerio Pascucci, Christine R. Kirkpatric, Ian T. Foster
{"title":"Sustainable Data Democratization: A Multifaceted Investment for an Equitable Future","authors":"Michela Taufer, Valerio Pascucci, Christine R. Kirkpatric, Ian T. Foster","doi":"arxiv-2408.14627","DOIUrl":null,"url":null,"abstract":"The urgent need for data democratization in scientific research was the focal\npoint of a panel discussion at SC23 in Denver, Colorado, from November 12 to\n17, 2023. This article summarizes the outcomes of that discussion and\nsubsequent conversations. We advocate for strategic investments in financial,\nhuman, and technological resources for sustainable data democratization.\nEmphasizing that data is central to scientific discovery and AI deployment, we\nhighlight barriers such as limited access, inadequate financial incentives for\ncross-domain collaboration, and a shortage of workforce development\ninitiatives. Our recommendations aim to guide decision-makers in fostering an\ninclusive research community, breaking down research silos, and developing a\nskilled workforce to advance scientific discovery.","PeriodicalId":501168,"journal":{"name":"arXiv - CS - Emerging Technologies","volume":"282 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2024-08-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"arXiv - CS - Emerging Technologies","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/arxiv-2408.14627","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
The urgent need for data democratization in scientific research was the focal
point of a panel discussion at SC23 in Denver, Colorado, from November 12 to
17, 2023. This article summarizes the outcomes of that discussion and
subsequent conversations. We advocate for strategic investments in financial,
human, and technological resources for sustainable data democratization.
Emphasizing that data is central to scientific discovery and AI deployment, we
highlight barriers such as limited access, inadequate financial incentives for
cross-domain collaboration, and a shortage of workforce development
initiatives. Our recommendations aim to guide decision-makers in fostering an
inclusive research community, breaking down research silos, and developing a
skilled workforce to advance scientific discovery.