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衡量种子基金地球科学信息学项目的可持续性。

Measuring sustainability of seed-funded earth science informatics projects.

机构信息

U.S. Geological Survey, Science Analytics and Synthesis, Denver, Colorado, United States of America.

出版信息

PLoS One. 2019 Oct 23;14(10):e0222807. doi: 10.1371/journal.pone.0222807. eCollection 2019.

DOI:10.1371/journal.pone.0222807
PMID:31644537
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC6808333/
Abstract

Short term funding is a common funding model for informatics projects. Funders are interested in maximizing the sustainability and accessibility of the outputs, but there are no commonly accepted practices to do so in the Earth sciences informatics field. We constructed and applied a framework for sustainability drawing from other disciplines that have more published work focusing on sustainability of projects. This framework had seven sustainability influences (outputs modified, code repository used, champion present, workforce stability, support from other organizations, collaboration/partnership, and integration with policy), and three ways of defining sustainability (at the individual-, organization-, and community-level). Using this framework, we evaluated outputs of projects funded by the U.S. Geological Survey's Community for Data Integration (CDI). We found that the various outputs are widely accessible, but not necessarily sustained or maintained. Projects with most sustainability influences often became institutionalized and met required needs of the community. Even if proposed outputs were not delivered or sustained, knowledge of lessons learned could be spread to build community capacity in a topic, which is another type of sustainability. We conclude by summarizing lessons for individuals applying for short-term funding, and for organizations managing programs that provide such funding, for maximizing sustainability of project outcomes.

摘要

短期资金是信息学项目的一种常见资金模式。资助者有兴趣最大限度地提高产出的可持续性和可访问性,但地球科学信息学领域没有普遍接受的实践来做到这一点。我们借鉴了其他学科的可持续性框架,这些学科有更多关于项目可持续性的已发表工作。该框架有七个可持续性影响因素(输出修改、使用的代码存储库、拥护者、劳动力稳定性、来自其他组织的支持、合作/伙伴关系以及与政策的整合),以及三种定义可持续性的方法(个人、组织和社区层面)。使用这个框架,我们评估了美国地质调查局社区数据集成(CDI)资助的项目的产出。我们发现,各种产出都广泛可访问,但不一定可持续或维护。具有最多可持续性影响因素的项目通常会制度化,并满足社区的必要需求。即使没有交付或维持预期的产出,也可以传播经验教训知识,以在一个主题领域建立社区能力,这是另一种可持续性。最后,我们总结了个人申请短期资金以及组织管理提供此类资金的项目的经验教训,以最大限度地提高项目成果的可持续性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8e49/6808333/89ae68630003/pone.0222807.g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8e49/6808333/b43d3f7d2514/pone.0222807.g001.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8e49/6808333/05df970ec675/pone.0222807.g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8e49/6808333/1931558d430a/pone.0222807.g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8e49/6808333/89ae68630003/pone.0222807.g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8e49/6808333/b43d3f7d2514/pone.0222807.g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8e49/6808333/2fec50aee5ca/pone.0222807.g002.jpg
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