DATA ACQUISITION AND CONSTRUCTION

核心B：数据采集和构建 我们的项目的数据需求广泛重叠，本项目的目的是提供数据 在更广泛的研究中促进老龄化和创新以及基于个人的创新研究 社区研究这些问题所需的数据目前分散在不同的来源和格式中 而且还没有联系起来，这对研究构成了巨大的障碍。数据采集与构造 核心将开发，维护和分发一些集成的，大规模的数据集和工具， 为项目提供基础设施，并以用户友好的形式免费提供，并支持 学术研究社区（包括研究生和非营利组织和政府的研究人员） 机构）永久。集中生成此基础架构将确保其完全集成， 重复工作;确保质量和一致性;最大限度地利用项目的专业知识 为所有用户建立一套共同的方法。这种数据基础设施的可用性 建立的程序将支持一个研究老龄化和创新的动态领域， 研究创新。我们工作的一个中心组成部分将是建造一个大规模的， 消除歧义，个人层面，纵向数据库的生物医学研究人员，包括：（1） 出版物，（2）专利，（3）赠款，（4）引文，（5）传记数据，（6）研究机构特征 （7）期刊质量。我们还将开发：（1）纵向研究数据集 领域，包括研究工作，药物批准和健康结果，这些领域可以独立存在，也将 与个人层面的数据集相结合;（2）一套数据提取和操作工具， 促进这些数据集的使用;（3）生物医学的健康和经济影响的估计 研究;（4）识别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，该团队沿着与一个复杂的团队一起执行这项工作 最终用户可以优化数据，添加补充组件，并最大限度地提高可用性。 相关性（参见说明）： 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 这项工作将提供有关我们科学劳动力老龄化将如何影响政策的相关信息 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应对措施。

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.