DATA ACQUISITION AND CONSTRUCTION

核心B：数据采集和构建 我们项目的数据需求有很大的重叠，该项目的一个目标是提供数据 在更广泛的研究中促进老龄化和创新方面的工作以及以人为本的创新研究 社区。研究这些问题所需的数据目前分散在各种来源和格式上 而且还没有联系在一起，给研究带来了巨大的障碍。数据采集与施工 CORE将开发、维护和分发大量集成的大规模数据集和工具，这些数据集和工具将 为项目提供基础设施，并以方便用户的形式免费提供，并支持 学术研究社区(包括非营利组织和政府的研究生和研究人员 机构)永久保留。集中生成此基础架构将确保其完全集成，最大限度地减少 重复劳动；确保质量和一致性；最大限度地利用计划的专业知识 参与者；并为所有用户建立一套通用的方法。此数据基础架构的可用性 已建立的程序将支持一个研究老龄化和创新以及以人为本的动态领域 对创新的研究。我们工作的一个中心组成部分将是建设一个大规模的， 消除歧义的、个人级别的、关于生物医学研究人员的纵向数据库，包括：(1) 出版物，(2)专利，(3)授权，(4)引文，(5)传记数据，(6)研究机构特征 以及质量排名和(7)期刊质量。我们还将开发：(1)研究的纵向数据集 包括研究工作、药物审批和健康结果等领域，这些领域可以独立存在，也将 与单个级别的数据集相结合；(2)一套数据提取和操作工具，将 促进使用这些数据集；(3)估计生物医学对健康和经济的影响 研究；以及(4)确定高影响力和变革性研究的指标。该项目汇集了一个 具有互补技能的团队，特别适合与复杂的团队一起执行这项工作 能够提炼数据、添加补充组件并最大限度提高可用性的最终用户。 相关性(请参阅说明)： 美国越来越强调创新，但我们科学劳动力的老龄化预计将 减少创新产出。该核心将开发数据基础设施，以支持我们的工作和未来 这项工作将提供与政策相关的信息，说明我们的科学劳动力老龄化将如何影响 我们的生物医学创新产出、相关的健康和经济后果，以及政策回应。

Core B: Data Acquisition and Construction Our projects' data requirements overlap extensively, and an Aim of this program project is to provide data to catalyze work on aging and innovation and person-based studies of innovation in the broader research community. The data necessary to study these problems are currently scattered across sources and formats and have not been linked, posing a formidable barrier to research. The Data Acquisition and Construction Core will develop, maintain, and distribute a number of integrated, large-scale datasets and tools that will provide infrastructure for the project and be provided freely in a user-friendly form and with support to the scholarly research community (including graduate students and researchers at non-profits and government agencies) in perpetuity. Generating this infrastructure centrally will ensure it is fully integrated, minimize duplication of effort; ensure quality and uniformity; take greatest advantage of the expertise of program participants; and establish a common set of methods for all users. The availability of this data infrastructure and established procedures will support a dynamic field studying aging and innovation and person-based studies of innovation. A central component of our work will be the construction of a large-scale, disambiguated, individual-level, longitudinal database on biomedical researchers comprising: (1) publications, (2) patents, (3) grants, (4) citations, (5) biographic data, (6) research institution characteristics and quality rankings and (7) journal quality. We will also develop: (1) a longitudinal dataset on research areas, including research effort, drug approvals, and health outcomes, which can stand alone and will also be combined with the individual-level dataset; (2) a set of data extraction and manipulation tools that will facilitate the use of these datasets; (3) estimates of the health and economic impacts of biomedical research; and (4) metrics to identify high-impact and transformative research. The project draws together a team with complementary skills that is uniquely suited to perform this work along with a sophisticated group of end-users who can refine the data, add complementary components, and maximize usability. RELEVANCE (See instructions): The US is increasingly emphasizing innovation, but the aging of our scientific workforce is expected to reduce innovative output. This Core will develop the data infrastructure to support both our work and future work that will provide policy-relevant information about how the aging of our scientific workforce will affect our biomedical innovative output, the associated health and economic consequences, and policy responses.