Data Documentation Database (D3): An Essential Research Tool
Data Documentation Database (D3): An Essential Research Tool
批准号:
7271787
负责人:
P Allison Minugh
金额:
$13.0万
依托单位:
依托单位国家:
美国
项目类别:
财政年份:
2007
资助国家:
美国
项目状态:
已结题
起止时间:
2007-04-01 至 2008-03-31
关键词:
ArchivesBusinessesClinical TrialsComputer softwareDataData AnalysesData QualityData SetDatabasesDictionaryDocumentationElementsEpidemiologic StudiesFinancial costFundingFunding AgencyFutureGovernment OfficialsGrantHousingInstitutionKnowledgeLabelLeadLearningLegalLocationMiningNamesPhaseProblem SolvingProcessPublic HealthRecommendationRecording of previous eventsRecordsReportingResearchResearch PersonnelResearch TrainingServicesSmall Business Funding MechanismsSmall Business Innovation Research GrantSocial SciencesSolutionsStandards of Weights and MeasuresStatistical Data InterpretationSurveysSystemTechniquesTechnologyTestingTimeTrainingTraining and Educationabstractingbehavioral healthdata integritydata managementexperienceinnovationprototyperesearch studystudy characteristicssuccesssyntaxtooluser friendly software
中文摘要
描述(由申请人提供):数据公司数据文档数据库(D3)的SBIR摘要数据文档是一项复杂而耗时的任务。实践经验表明,研究往往通过将任务委托给经验较少的工作人员或不完全记录数据来节省时间和财务成本。然而,糟糕的文档会威胁到数据的完整性,导致不正确的建议或不同的结论,并使数据难以使用。在进行自己的研究过程中,DataCorp开发了一个解决方案。数据文档数据库,或D3,是一个软件应用程序,它系统地记录由典型的社会科学、行为健康或流行病学研究收集的数据。该包易于使用,可以快速实施,不需要将数据存储在其中,也不需要数据文档或数据管理技术的高级知识。D3是一个全面的文档系统。它不仅包含名称和标签,还记录了数据集的历史演变。它记录了对数据集、数据清理流程和数据分析所做的更改。D3挖掘这一丰富的信息集,以生成符合公认标准的可定制报告。报告以各种可输出的格式提供,研究人员可以在提交数据档案或支持内部研究时使用这些格式。D3还为常见统计软件包创建了程序性语法,消除了阻碍研究人员编制文件的重复工作。SBIR拨款将帮助DataCorp将数据库转变为标准化的商业产品。赠款资金将用于确认D3‘S在各种研究环境中的适用性。SBIR赠款还将支持研究支持D3客户所需的培训材料的努力。最终的结果将是一个软件应用程序,为该领域的研究人员提供完整、详细和准确的文档。数据公司数据文档数据库(D3)的SBIR叙述D3为公共卫生和社会科学领域的研究人员提供了一种快速而简单的方式,从头到尾动态记录他们项目的数据。研究人员和资助机构将受益于拥有透明、有良好记录的数据。这将导致关于研究研究的更准确、可复制的结果和得到证实的建议。
英文摘要
DESCRIPTION (provided by applicant): SBIR Abstract for DATACORP's Data Documentation Database (D3) Data documentation is an intricate and time-consuming task. Practical experience has shown that research studies frequently save time and financial costs by delegating the task to less experienced staff or by incompletely documenting the data. Yet poor documentation threatens the data's integrity, leads to improper recommendations or differential findings, and renders the data difficult to use. In the course of conducting its own research, Datacorp has developed a solution. The Data Documentation Database, or D3, is a software application that systematically documents the data collected by a typical social science, behavioral health, or epidemiological study. The package is easy to use, can be implemented quickly, does not require the data to be stored within it, and does not require advanced knowledge of data documentation or data management techniques. The D3 is a comprehensive documentation system. It goes beyond merely housing names and labels and records a history of the data set as it evolves. It documents changes made to the data sets, data cleaning processes, and data analyses. The D3 mines this rich set of information to produce customizable reports adhering to recognized standards. Reports are available in a variety of exportable formats that researchers can use in submissions to data archives or to support in house research. The D3 also creates programmatic syntax for common statistical software packages, eliminating the duplication of effort that deters researchers from documenting. The SBIR grant will help Datacorp transform the database into a standardized commercial product. Grant funds will be used to confirm the D3's applicability in a variety of research settings. The SBIR grant will also support efforts to research training materials needed to support D3 customers. The final result will be a software application that produces complete, detailed, and accurate documentation for researchers in the field. SBIR Narrative for DATACORP's Data Documentation Database (D3) The D3 provides researchers in the public health and social science fields with a fast and simple way of dynamically documenting the data on their projects from start to finish. Researchers and funding agencies will benefit from having transparent, well-documented data. This will lead to more accurate, replicable results and substantiated recommendations on research studies.
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