Docatorate Data Project
博士数据项目
基本信息
- 批准号:0208765
- 负责人:
- 金额:--
- 依托单位:
- 依托单位国家:美国
- 项目类别:Contract-BOA/Task Order
- 财政年份:2001
- 资助国家:美国
- 起止时间:2001-12-05 至 2006-12-05
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
Abstract- Doctorate Data Project0208765The purpose of this acquisition is to procure a data collection, file maintenance, and analysis/ methodological research capability to collect information on persons receiving research doctorate awards from United States universities and to monitor their subsequent experiences in the labor force. The Federal agency with the lead responsibility for this contract is the National Science Foundation (NSF), which is authorized to identify and assess the numbers and characteristics of scientists and engineers in the United States. Other Federal agencies which have related responsibilities for collecting and reporting on persons in other disciplines participate jointly in aspects of this project, so that the total population of individuals of interest is all persons receiving research doctorates, in all fields, for the Survey of Earned Doctorates. Several interrelated activities address the purposes of this acquisition, which is intended to provide comprehensive services for a performance period of 5 years/cycles. Central to the project is the conduct of two major ongoing survey systems, one of which supplies the universe from which the sample for the second survey is drawn. Data from these surveys will be merged with the historical, comprehensive data bases for each survey and also merged with other data bases to provide information on the nation's human resources. The annual census Survey of Earned Doctorates (SED) entails the collection of information on every individual receiving a research doctorate from a United States university. Results from the survey are added to the Doctorate Records File (DRF). The SED provides the universe from which a sample is drawn for the Survey of Doctorate Recipients (SDR), a biennial survey collecting information on the post-graduation employment related characteristics of doctorate-holders in science and engineering. Results from the SDR are combined with other component surveys of the SESTAT data system. The resulting data bases are actively used by the NSF and the other Federal sponsors and numerous other users inside and outside of government. The contractor will also support the dissemination activities of the restricted data files to academic researchers and other government agencies through a licensing agreement. The information collected and maintained through this project constitutes a major national resource, offering the only source of information on this important population. Its accessibility and dissemination are therefore critical. This project will be monitored by the Division of Science Resources Statistics (SRS) as the contract technical representative for NSF and the other Federal agencies that sponsor the SED and the SDR. For the SED, other Federal sponsors as of FY2001 are the U.S. Department of Education (ED), the National Institutes of Health (NIH), the National Endowment for the Humanities (NEH), the National Aeronautical and Space Administration (NASA), and the U.S. Department of Agriculture (USDA). For the SDR, the NIH is also a sponsor. In the past, SDR federal sponsors included the Department of Energy (DOE) and the NEH. During the course of the contract, the participation of Federal sponsors may change and necessitate modifications to the coverage of disciplines, distribution of communications, materials, or products related to the project.
摘要-博士数据项目0208765本次收购的目的是采购数据收集,文件维护和分析/方法研究能力,以收集从美国大学获得研究博士学位的人的信息,并监测他们随后在劳动力中的经验。对这一合同负有主要责任的联邦机构是国家科学基金会(NSF),它被授权确定和评估美国科学家和工程师的数量和特点。负责收集和报告其他学科人员情况的其他联邦机构共同参与了这一项目的各个方面,因此,感兴趣的个人的总人数是所有领域获得研究博士学位的所有人员,用于获得博士学位的调查。几项相互关联的活动旨在实现此次收购的目的,即在5年/周期的绩效期内提供全面的服务。该项目的核心是进行两个主要的持续调查系统,其中一个系统提供了第二次调查的样本。这些调查的数据将与每次调查的历史综合数据库合并,并与其他数据库合并,以提供有关国家人力资源的信息。年度人口普查获得博士学位调查(SED)需要收集每个从美国大学获得研究博士学位的人的信息。从调查结果被添加到博士记录文件(DRF)。经济统计调查为博士学位获得者调查(SDR)提供了样本,SDR是一项两年一度的调查,收集有关科学和工程博士学位获得者毕业后就业相关特征的信息。SDR的结果与SESTAT数据系统的其他组成部分调查相结合。由此产生的数据库被NSF和其他联邦赞助商以及政府内外的许多其他用户积极使用。承包者还将通过一项许可协议,支持向学术研究人员和其他政府机构传播限制使用的数据文件。通过这一项目收集和保存的信息是一项重要的国家资源,是关于这一重要人口的唯一信息来源。因此,获取和传播这些信息至关重要。 本项目将由科学资源统计司(SRS)作为NSF和其他赞助SED和SDR的联邦机构的合同技术代表进行监督。对于SED,截至2001财政年度,其他联邦赞助者包括美国教育部(艾德)、美国国立卫生研究院(NIH)、美国国家人文科学基金会(NEH)、美国国家航空航天局(NASA)和美国农业部(USDA)。对于SDR,NIH也是赞助商。在过去,SDR的联邦赞助商包括能源部(DOE)和NEH。在合同执行过程中,联邦赞助商的参与可能会发生变化,并需要对与项目相关的学科覆盖范围、通信、材料或产品的分发进行修改。
项目成果
期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
数据更新时间:{{ journalArticles.updateTime }}
{{
item.title }}
{{ item.translation_title }}
- DOI:
{{ item.doi }} - 发表时间:
{{ item.publish_year }} - 期刊:
- 影响因子:{{ item.factor }}
- 作者:
{{ item.authors }} - 通讯作者:
{{ item.author }}
数据更新时间:{{ journalArticles.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ monograph.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ sciAawards.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ conferencePapers.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ patent.updateTime }}
Steve Knable其他文献
Steve Knable的其他文献
{{
item.title }}
{{ item.translation_title }}
- DOI:
{{ item.doi }} - 发表时间:
{{ item.publish_year }} - 期刊:
- 影响因子:{{ item.factor }}
- 作者:
{{ item.authors }} - 通讯作者:
{{ item.author }}
{{ truncateString('Steve Knable', 18)}}的其他基金
相似国自然基金
Scalable Learning and Optimization: High-dimensional Models and Online Decision-Making Strategies for Big Data Analysis
- 批准号:
- 批准年份:2024
- 资助金额:万元
- 项目类别:合作创新研究团队
Data-driven Recommendation System Construction of an Online Medical Platform Based on the Fusion of Information
- 批准号:
- 批准年份:2024
- 资助金额:万元
- 项目类别:外国青年学者研究基金项目
Development of a Linear Stochastic Model for Wind Field Reconstruction from Limited Measurement Data
- 批准号:
- 批准年份:2020
- 资助金额:40 万元
- 项目类别:
基于Linked Open Data的Web服务语义互操作关键技术
- 批准号:61373035
- 批准年份:2013
- 资助金额:77.0 万元
- 项目类别:面上项目
Molecular Interaction Reconstruction of Rheumatoid Arthritis Therapies Using Clinical Data
- 批准号:31070748
- 批准年份:2010
- 资助金额:34.0 万元
- 项目类别:面上项目
高维数据的函数型数据(functional data)分析方法
- 批准号:11001084
- 批准年份:2010
- 资助金额:16.0 万元
- 项目类别:青年科学基金项目
染色体复制负调控因子datA在细胞周期中的作用
- 批准号:31060015
- 批准年份:2010
- 资助金额:25.0 万元
- 项目类别:地区科学基金项目
Computational Methods for Analyzing Toponome Data
- 批准号:60601030
- 批准年份:2006
- 资助金额:17.0 万元
- 项目类别:青年科学基金项目
相似海外基金
GOAL project: AI-supported self-directed learning lifestyle in data-rich educational ecosystem
GOAL 项目:数据丰富的教育生态系统中人工智能支持的自主学习生活方式
- 批准号:
23K25156 - 财政年份:2024
- 资助金额:
-- - 项目类别:
Grant-in-Aid for Scientific Research (B)
Project North AI - a new data and analytics platform that uses AI to support the financing and distribution of independent film
Project North AI - 一个新的数据和分析平台,利用人工智能支持独立电影的融资和发行
- 批准号:
10103511 - 财政年份:2024
- 资助金额:
-- - 项目类别:
Investment Accelerator
NESP MaC Project 3.6 - Improving data on the distribution and ecological value of temperate subtidal seagrass in tayaritja (Furneaux Group of Islands), Tasmania
NESP MaC 项目 3.6 - 改善塔斯马尼亚塔亚里贾(弗诺群岛)温带潮下海草分布和生态价值的数据
- 批准号:
global : 436e10ed-3322-494c-93a3-3bdf3405c045 - 财政年份:2023
- 资助金额:
-- - 项目类别:
Targeted Infusion Project: Microbiome Data Science Infusion to Improve Undergraduate Research, Pedagogy, and Workforce Preparation
有针对性的注入项目:微生物组数据科学注入,以改善本科生研究、教学法和劳动力准备
- 批准号:
2306512 - 财政年份:2023
- 资助金额:
-- - 项目类别:
Standard Grant
Broadening Participation Research Project: Investigating the Efficacy of Data Science for Environmental Justice based PBL Modules for Improving Diversity in Environmental Science
扩大参与研究项目:调查数据科学对环境正义的有效性,基于 PBL 模块以提高环境科学的多样性
- 批准号:
2306658 - 财政年份:2023
- 资助金额:
-- - 项目类别:
Standard Grant
Comprehensive Harmonization and Analysis of Case/Control Whole Genome Sequencing Data from the ALS/FTD Compute Project
来自 ALS/FTD 计算项目的病例/对照全基因组测序数据的全面协调和分析
- 批准号:
10592917 - 财政年份:2023
- 资助金额:
-- - 项目类别:
Network Connector: DEDICATE: Data Science Equity-Driven Inquiry to Create Accessible Project-based Training for Social Impact Education
网络连接器:DEDICATE:数据科学公平驱动的探究,为社会影响力教育创建可访问的基于项目的培训
- 批准号:
2304100 - 财政年份:2023
- 资助金额:
-- - 项目类别:
Continuing Grant
Target Infusion Project: Geospatial Data Systems-Policy Analysis Curriculum Enhancement Project (GDS-PACE)
目标注入项目:地理空间数据系统-政策分析课程增强项目(GDS-PACE)
- 批准号:
2306533 - 财政年份:2023
- 资助金额:
-- - 项目类别:
Standard Grant
NESP MaC Project 3.6 - Improving data on the distribution and ecological value of temperate subtidal seagrass in tayaritja (Furneaux Group of Islands), Tasmania
NESP MaC 项目 3.6 - 改善塔斯马尼亚塔亚里贾(弗诺群岛)温带潮下海草分布和生态价值的数据
- 批准号:
global : 436e10ed-3322-494c-93a3-3bdf3405c045 - 财政年份:2023
- 资助金额:
-- - 项目类别:
Evaluation of a public space reconstruction project using geolocational data
使用地理定位数据评估公共空间重建项目
- 批准号:
23K05290 - 财政年份:2023
- 资助金额:
-- - 项目类别:
Grant-in-Aid for Scientific Research (C)














{{item.name}}会员




