EAGER: INSPIRE: Institutional Support for Personal/Institutional Repository Environments

EAGER：INSPIRE：对个人/机构存储库环境的机构支持

• 批准号: 1152481
• 负责人: James French
• 金额: $ 30万
• 依托单位: Corporation for National Research Initiatives (NRI)
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2011
• 资助国家: 美国
• 起止时间: 2011-09-01 至 2014-02-28
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1152481&HistoricalAwards=false
• 关键词: EAGER; INSPIRE; Institutional; Support; Personal

Large-scale science and engineering campaigns have typically considered data management from the inception of the project and funds for data management have been included in the projects' budgets. This proposal is aimed at data acquisition and curation strategies in support of single PI or small group research projects at academic institutions, data in the so-called "long tail". Long-term data management in these projects is much more problematic and particularly acute. Smaller research projects are often strapped for funds to conduct the research that generates the data; management of the data was in the past often an afterthought. With data management plans now being required by funding agencies, the issues must be considered as part of a proposal, but the funding available for date management is still frequently small and economical resources available to researchers still need to be cultivated. At academic institutions, the institutional repository (IR) has emerged as the means of harnessing technology to improve scholarly communication and it is the IR that offers the potential to address the data curation problems of smaller projects. Although institutional repositories have a broad intuitive appeal to all the stakeholders involved with science and engineering data management, they have met with very limited acceptance in practice. This proposal seeks to increase faculty contribution of their data to the IR by appealing to their needs directly and providing them with tools and support for developing personal repositories that can subsequently be federated into the IR. The strategy is to lower the barrier of entry to archiving facilities and to provide incentives for researchers to participate.Broader impacts will be realized in two key areas. First, archive and preservation of datasets will be enhanced by increasing the participation of faculty and researchers generating data at the nation's research institutions. Second, open source software well be available for deployment by other institutions beyond the project's partners thereby increasing the effectiveness of dataset archiving and sharing across a growing set of participating institutions. The project will also offer research and training opportunities to undergraduate and graduate students involved as software developers and data consultants who interact with faculty and other researchers as part of the project.

大规模的科学和工程运动通常从项目开始时考虑了数据管理，并且在项目的预算中包括了用于数据管理的资金。该提案旨在用于支持学术机构的单个PI或小组研究项目的数据获取和策略，以及所谓的“长尾”中的数据。这些项目中的长期数据管理更加有问题，尤其是急性。较小的研究项目经常被束缚以进行资金来进行产生数据的研究；数据管理过去经常是事后的想法。由于资金机构现在需要数据管理计划，因此必须将这些问题视为提案的一部分，但是日期管理可用的资金仍然经常很小，而且研究人员仍然需要培养经济的资源。在学术机构中，机构存储库（IR）已成为利用技术改善学术沟通的手段，正是IR提供了解决较小项目的数据策划问题的潜力。尽管机构存储库对与科学和工程数据管理相关的所有利益相关者具有广泛的直观吸引力，但他们在实践中接受了非常有限的接受。该提案旨在通过直接吸引他们的需求，并为他们提供工具和支持，以开发随后可以将其送入IR的个人存储库，从而增加其数据对IR的教师贡献。该策略是降低归档设施的进入的障碍，并为研究人员提供激励措施。Broader的影响将在两个关键领域实现。首先，通过增加教师和研究人员在美国研究机构中生成数据的参与来增强数据集的档案和保存。其次，除了项目合作伙伴之外，其他机构可以使用开源软件可用于部署，从而提高了越来越多的参与机构的数据集归档和共享的有效性。该项目还将提供研究和培训机会，以作为软件开发人员和数据顾问参与的本科生和研究生，他们与该项目的一部分与教师和其他研究人员进行互动。