EAGER: Collaborative Research: Supporting Public Access to Supplemental Scholarly Products Generated from Grant Funded Research

EAGER：合作研究：支持公众获取资助研究产生的补充学术产品

• 批准号: 1649703
• 负责人: Kerstin Lehnert
• 金额: $ 17.89万
• 依托单位: Columbia University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2016
• 资助国家: 美国
• 起止时间: 2016-09-01 至 2020-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1649703&HistoricalAwards=false
• 关键词: EAGER; Collaborative; Research; Supporting; Public

This EAGER project addresses the urgent need to better understand the research community's Data Management Plan (DMP) requirements and, based on this understanding, provides an open software tool that helps investigators generate structured and machine-readable Data Management Plans that fulfill both the researcher's need to easily deliver a standardized set of information to the funder, and the funder's need to analyze the information contained in DMPs. This allows funders to identify trends in data and software submission, repository use patterns, and carry out other analyses that can assist in understanding community use patterns and needs. The Principal Investigators (PIs) will leverage an existing DMP Tool built for the geosciences community by initially assessing the DMPs not only of the geosciences, but also the biological and social, behavioral, and economic sciences and upgrading the DMP Tool to serve those communities as well. Ultimately, the team will work to determine if this upgraded DMP Tool is extendable and scalable to all science, engineering, and educational research funded by the National Science Foundation. If successful, this will ultimately enhance the reproducibility and reuse of scientific research and help improve public access to supplementary scholarly products from federally funded research.The National Science Foundation has required Data Management Plans (DMPs) for all grant proposals submitted for review since 2011. The DMPs submitted thus far are mostly free text and do not follow any specified format or structure and because of this limitation, current DMPs are not easy to compare or analyze. Consistent and comprehensive structured and machine-readable DMPs may substantially advance understanding of the data management landscape and address gaps that will improve data access which will lead to enhanced re-use and more reproducible science. The PIs propose to modify and upgrade the DMP Tool that has been developed and operated by IEDA (Interdisciplinary Earth Data Alliance) to serve the broadest research communities possible. This DMP Tool gathers relevant data management planning information from investigators in a structured manner into a relational database that can be mined and analyzed. As part of this project, they will analyze the information from the more than 1,350 DMPs that have already been generated with the IEDA DMP Tool to understand gaps, successes, and patterns of use. They will initially focus on the DMP requirements of science communities funded by the National Science Foundation's GEO, BIO, and SBE directorates, and use the results of this research to guide the development and prototyping of the extended version of the IEDA DMP Tool. They will subsequently focus on other directorates.

该 EAGER 项目满足了更好地了解研究界的数据管理计划 (DMP) 要求的迫切需要，并基于这种理解提供了一个开放的软件工具，帮助研究人员生成结构化和机器可读的数据管理计划，满足研究人员轻松向资助者提供标准化信息集的需求，以及资助者分析 DMP 中包含的信息的需求。这使得资助者能够识别数据和软件提交的趋势、存储库使用模式，并进行其他有助于理解社区使用模式和需求的分析。 首席研究员 (PI) 将利用为地球科学界构建的现有 DMP 工具，首先不仅评估地球科学领域的 DMP，还评估生物和社会、行为和经济科学的 DMP，并升级 DMP 工具以服务于这些领域。 最终，该团队将努力确定这一升级后的 DMP 工具是否可扩展并扩展到由国家科学基金会资助的所有科学、工程和教育研究。 如果成功，这最终将提高科学研究的可重复性和重用性，并有助于改善公众对联邦资助研究的补充学术产品的获取。自 2011 年以来，美国国家科学基金会要求所有提交审查的资助提案都必须有数据管理计划 (DMP)。迄今为止提交的 DMP 大多是自由文本，不遵循任何指定的格式或结构，由于这一限制，当前的 DMP 不容易进行比较或分析。一致且全面的结构化和机器可读的 DMP 可以极大地促进对数据管理格局的理解，并解决差距，从而改善数据访问，从而增强重用性和更具可重复性的科学。 PI 建议修改和升级由 IEDA（跨学科地球数据联盟）开发和运营的 DMP 工具，以尽可能为最广泛的研究团体服务。该 DMP 工具以结构化方式将调查人员的相关数据管理规划信息收集到可挖掘和分析的关系数据库中。作为该项目的一部分，他们将分析使用 IEDA DMP 工具生成的 1,350 多个 DMP 中的信息，以了解差距、成功和使用模式。他们首先将重点关注由美国国家科学基金会 GEO、BIO 和 SBE 理事会资助的科学界的 DMP 要求，并利用这项研究的结果来指导 IEDA DMP 工具扩展版本的开发和原型设计。他们随后将重点关注其他董事会。

项目成果

Open access to research artifacts: Implementing the next generation data management plan

开放获取研究成果：实施下一代数据管理计划

• DOI: 10.1002/pra2.51
• 发表时间: 2019
• 期刊: Proceedings of the Association for Information Science and Technology
• 作者: Stodden, Victoria;Ferrini, Vicki;Gabanyi, Margaret;Lehnert, Kerstin;Morton, John;Berman, Helen
• 通讯作者: Berman, Helen