Data Sharing and Archiving for Demographic Research
Data Sharing and Archiving for Demographic Research
批准号:
10062127
负责人:
John Edwin Marcotte
金额:
$69.89万
依托单位国家:
美国
项目类别:
财政年份:
2004
资助国家:
美国
项目状态:
未结题
起止时间:
2004-09-01 至 2025-04-30
关键词:
AdolescentAdultAgingAreaBehaviorBiologicalBiological MarkersCellular StructuresChildChild HealthCodeCommunicable DiseasesCommunitiesContraceptive UsageCustomDataData AnalysesData CollectionData SetData SourcesDemographerDepositionDevelopmentDisciplineDisclosureDiseaseDocumentationElementsEnsureEnvironmentFAIR principlesFundingGenerationsGeneticGenomicsGoalsHealthHealth TransitionHigh Performance ComputingIndividualInfrastructureInternationalKnowledgeLearningLifeLinkLongevityMaternal and Child HealthMetadataMichiganMindMolecularNational Institute of Child Health and Human DevelopmentNatureOrganismOutcomePersonal SatisfactionPolicy MakerPoliticsPopulationPopulation DynamicsPopulation SciencesPopulation StudyPrivacyProductionPublic HealthRecordsReproducibilityResearchResearch InfrastructureResearch InstituteResearch PersonnelResearch PriorityResearch Project GrantsResearch SupportResourcesRespondentRiskRoleSample SizeScientistSecureSourceSpecimenStandardizationStrategic PlanningSurveysSystemTechniquesTrainingUniversitiesadolescent healthanalytical toolcommunity buildingdata accessdata archivedata disseminationdata enclavedata explorationdata resourcedata sharingdata warehousedisabilitydisorder preventionexpectationgene environment interactionglobal healthhealth disparityhealthy pregnancyhuman subjectimprovedinnovationinterestmigrationneuroimagingoutreachsecondary analysissocialsocial mediasymposiumtargeted biomarkertooltraining opportunityusabilityvirtualwebinar
中文摘要
项目概要
大学间联盟的人口统计研究数据共享(DSDR)项目
政治和社会研究 (ICPSR) 通过以下方式支持人口科学及相关领域
使研究人员、政策制定者和其他人能够发现、访问和分析
相关二手数据。获取有关人口的高质量、可概括的数据有助于
当研究人员仅限于数据时,科学进步的速度是不可能的
他们自己生产的资源。具体来说,数据是可找到的、可访问的、
可互操作和可重复使用对于透明度和研究可重复性以及
使科学家能够将不同类型和不同来源的数据结合起来
对健康结果和行为的背景有更细致的了解。 DSDR
为研究人员提供查看可用数据范围的基础设施;访问两者
公共和限制使用数据,同时保护人类受试者;整合新兴数据类型
例如生物标志物、基因组学和行政记录数据;并向其他人学习
人口社区有关数据和相关分析技术的信息。
DSDR 利用了 ICPSR、社会研究所和
密歇根大学支持妇幼健康、生命历程、
美国和美国的健康差异、移民、关系的形成和解除等
国际上。为了实现 NICHD 提出的目标,DSDR 提出了五个主要目标:1)
维持和建立数据、文档和其他支持文件的收集,2) 改进
数据的可发现性和探索,3) 扩大对限制使用数据的访问,4) 启用
结合新型数据(例如生物标记、神经图像和管理记录)
调查数据,以及 5) 提供培训并进行外展活动以吸引受众
社区。 ICPSR 的高质量管理、创建描述的标准化信息
数据、完整文档的传播,包括密码本和用户指南,以及
培训机会确保研究人员能够更轻松地查找、评估和使用数据
由其他人收集来回答新的和创新的研究问题,同时坚持
受访者的隐私期望。
英文摘要
Project Summary
The Data Sharing for Demographic Research (DSDR) project of the Inter-university Consortium
for Political and Social Research (ICPSR) supports population science and related fields by
making it possible for researchers, policy makers and others to discover, access, and analyze
relevant secondary data. Access to high-quality, generalizable data about populations facilitates
scientific advancements at a pace that is not possible when researchers are limited to the data
resources they produce themselves. Specifically, data that are findable, accessible,
interoperable, and reusable are critical to transparency and research reproducibility as well as
making it feasible for scientists to combine data of different types and from different sources for
a more nuanced understanding of the context of health outcomes and behaviors. DSDR
provides the infrastructure for researchers to see the scope of available data; access both
public- and restricted-use data while protecting human subjects; integrate emerging data types
such as biomarkers, genomics, and administrative record data; and learn from others in the
demographic community about the data and relevant analytic techniques.
DSDR leverages the capabilities and capacities of ICPSR, the Institute for Social Research, and
the University of Michigan to support research on maternal and child health, the lifecourse,
health disparities, migration, relationship formation and dissolution, and more in the U.S. and
internationally. To meet the aims set forth by NICHD, DSDR proposes five main objectives: 1)
Sustain and build the collection of data, documentation, and other support files, 2) Improve
discoverability and exploration of data, 3) Amplify access to restricted-use data, 4) Enable the
combining of new types of data (e.g., biomarkers, neuroimages, and administrative records)
with survey data, and 5) Offer training and perform outreach to engage the demographic
community. ICPSR’s high-quality curation, creation of standardized information describing the
data, dissemination of complete documentation including codebooks and user guides, and
training opportunities ensures researchers can more easily find, evaluate, and use data
collected by others to answer new and innovative research questions while upholding
respondent privacy expectations.
期刊论文(0)
专著(0)
科研奖励(0)
会议论文
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依托单位:
海外基金