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

大型科学和工程运动通常从项目开始就考虑数据管理，数据管理资金已列入项目预算。这项建议旨在制定数据获取和管理战略，以支持学术机构的单个PI或小组研究项目，即所谓的“长尾”数据。这些项目的长期数据管理问题要多得多，尤其尖锐。规模较小的研究项目往往缺乏资金来进行产生数据的研究；过去，数据的管理往往是事后才想到的。由于资助机构现在需要数据管理计划，必须将这些问题作为提案的一部分加以考虑，但可用于日期管理的资金往往仍然很少，研究人员可用的经济资源仍需培养。在学术机构，机构储存库(IR)已经成为利用技术改善学术交流的手段，正是IR提供了解决较小项目的数据管理问题的潜力。尽管机构资料库对所有涉及科学和工程数据管理的利益攸关方具有广泛的直觉吸引力，但它们在实践中的接受度非常有限。这项建议寻求通过直接满足他们的需求并为他们提供工具和支持来开发个人存储库，从而增加他们对IR的数据贡献，这些个人存储库随后可以联合到IR中。该战略旨在降低档案设施的准入门槛，并激励研究人员参与其中。首先，将通过增加在国家研究机构生成数据的教职员工和研究人员的参与来加强数据集的存档和保存。第二，开放源码软件将可供项目合作伙伴以外的其他机构部署，从而提高越来越多参与机构之间数据集存档和共享的有效性。该项目还将为作为软件开发人员和数据顾问的本科生和研究生提供研究和培训机会，作为该项目的一部分，他们将与教职员工和其他研究人员互动。

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.