Collaborative Research: ECR Data Resource Hub: Partnership for Expanding Education Research in STEM (PEERS)
合作研究:ECR 数据资源中心:扩大 STEM 教育研究的伙伴关系 (PEERS)
基本信息
- 批准号:1937509
- 负责人:
- 金额:$ 79.83万
- 依托单位:
- 依托单位国家:美国
- 项目类别:Standard Grant
- 财政年份:2020
- 资助国家:美国
- 起止时间:2020-02-01 至 2024-07-31
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
The Inter-university Consortium for Political and Social Research (ICPSR) at the University of Michigan and the American Education Research Association (AERA) propose to create an ECR Data Resource Hub, Partnership for Expanding Education Research in STEM (PEERS). The goal is to connect, educate, and build community around relevant forms of data and offer professional development focused on data skills, tools, and resources. PEERS will connect researchers to repositories and data sources as well as to materials on data sharing and learning tools for analyzing data to foster research transparency and reproducibility. PEERS will engage with producers or custodians of novel data, including administrative, video capture, streaming, and other non-designed data. PEERS also will engage data scientists in developing new approaches for discovering, accessing, and analyzing such designed and non-designed data to support their use for STEM education research, and it will work with librarians who are expert in the use of new technologies to catalogue and create user-friendly finding aids. PEERS will enhance research to advance new knowledge and address issues related to policy and practice in STEM education and learning. It will broaden and diversify the community of STEM education research scholars and facilitate a faster translation of research results into new research and practice.The investigators propose to 1) coordinate with existing data repositories and data providers to help researchers locate and leverage existing data collections; 2) identify and support methodological and substantive innovations, including improving access to and best practices in using non-designed data and linking designed and non-designed data; 3) foster a culture of research transparency and cumulative knowledge; 4) build community among researchers and data providers; and 5) conduct targeted outreach to STEM education researchers. ICPSR and AERA will highlight extant data sources to encourage secondary analysis of existing data and build a single point of discovery for researchers. They will increase the discoverability of providers’ data through sharing of metadata and adoption of practices that increase dataset discovery. In addition, the PEERS website will provide descriptions of other key datasets with links and instructions for accessing the data. To address the barriers associated with multimedia and other big data, PEERS will preserve and provide access to content created from these resources and encourage research to automate content created from these resources. To support replication, reproducibility, and cumulative knowledge building in STEM education research, PEERS will encourage scholars to use the Registry of Efficacy and Effectiveness Studies and other mechanisms and set up a repository of data and date-related products for replication studies and further analyses related to STEM education research using ICPSR’s self-publishing archive infrastructure, OpenICPSR. PEERS will create and share guidelines for transparency that supplement the AERA’s Standards for Reporting on Empirical Social Science Research in AERA publications. This project is funded through the EHR Core Research (ECR): Building Capacity in STEM Education Research competition that is designed to build capacity to carry out high quality STEM education research that will enhance the nation’s STEM education enterprise.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.
密歇根大学政治和社会研究校际联盟(ICPSR)和美国教育研究协会(AERA)提议创建ECR数据资源中心,扩大STEM教育研究伙伴关系(PEERS)。 我们的目标是围绕相关形式的数据进行连接,教育和建立社区,并提供专注于数据技能,工具和资源的专业发展。PEERS将把研究人员连接到存储库和数据源,以及数据共享材料和分析数据的学习工具,以促进研究的透明度和可重复性。 PEERS将与新数据的生产者或保管人进行合作,包括行政,视频捕获,流媒体和其他非设计数据。PEERS还将让数据科学家开发新的方法来发现,访问和分析这些设计和非设计数据,以支持它们用于STEM教育研究,并将与图书馆员合作,他们是使用新技术的专家,以编目和创建用户友好的查找辅助工具。 PEERS将加强研究,以推进新知识,并解决与STEM教育和学习的政策和实践相关的问题。 它将扩大STEM教育研究学者的群体并使其多样化,促进研究成果更快地转化为新的研究和实践。研究人员建议:1)与现有的数据库和数据提供商协调,帮助研究人员定位和利用现有的数据收集;(2)确定和支持方法和实质性创新,包括改善非设计数据的获取和使用方面的最佳实践,以及将设计和非设计数据联系起来; 3)培养研究透明度和累积知识的文化; 4)在研究人员和数据提供者之间建立社区; 5)对STEM教育研究人员进行有针对性的外展。ICPSR和AERA将突出现有数据源,鼓励对现有数据进行二次分析,并为研究人员建立一个单一的发现点。它们将通过共享元数据和采用增加数据集发现的做法,提高提供者数据的可重复性。此外,PEERS网站将提供其他关键数据集的描述,以及访问数据的链接和说明。 为了解决与多媒体和其他大数据相关的障碍,PEERS将保留并提供从这些资源创建的内容的访问权限,并鼓励研究自动化从这些资源创建的内容。 为了支持STEM教育研究中的复制,再现性和累积知识建设,PEERS将鼓励学者使用功效和有效性研究注册表和其他机制,并建立数据和日期相关产品的存储库,用于复制研究和使用ICPSR的自助出版档案基础设施OpenICPSR与STEM教育研究相关的进一步分析。PEERS将创建和分享透明度的指导方针,补充AERA的标准报告在AERA出版物的实证社会科学研究。 该项目由EHR核心研究(ECR)资助:STEM教育研究能力建设竞赛,旨在建设开展高质量STEM教育研究的能力,以增强国家STEM教育事业。该奖项反映了NSF的法定使命,并通过使用基金会的智力价值和更广泛的影响力审查标准进行评估,被认为值得支持。
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)
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Margaret Levenstein其他文献
BEYOND LEGAL FRAMEWORKS AND SECURITY CONTROLS FOR ACCESSING CONFIDENTIAL SURVEY DATA IN THE UNITED STATES: ENGAGING DATA USERS IN DATA PROTECTION
超越美国访问机密调查数据的法律框架和安全控制:让数据用户参与数据保护
- DOI:
- 发表时间:
2023 - 期刊:
- 影响因子:0
- 作者:
Amy Pienta;J. Jang;Margaret Levenstein - 通讯作者:
Margaret Levenstein
Margaret Levenstein的其他文献
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{{ truncateString('Margaret Levenstein', 18)}}的其他基金
Conference: Supporting Mid-Scale Research Infrastructure Readiness for STEM Education Research Teams
会议:支持 STEM 教育研究团队的中型研究基础设施准备
- 批准号:
2412719 - 财政年份:2024
- 资助金额:
$ 79.83万 - 项目类别:
Standard Grant
Mid-scale RI-2: The Research Data Ecosystem (RDE), a National Resource for Reproducible, Robust, and Transparent Social Science Research in the 21st Century
中型 RI-2:研究数据生态系统 (RDE),21 世纪可重复、稳健和透明的社会科学研究的国家资源
- 批准号:
1946932 - 财政年份:2022
- 资助金额:
$ 79.83万 - 项目类别:
Cooperative Agreement
CICI: RDP: Open Badge Researcher Credentials for Secure Access to Restricted and Sensitive Data
CICI:RDP:用于安全访问受限和敏感数据的开放徽章研究人员证书
- 批准号:
1839868 - 财政年份:2018
- 资助金额:
$ 79.83万 - 项目类别:
Standard Grant
EAGER: Crowdsourcing Metadata Enhancements to Improve the Discoverability and Reusability of Scientific Data: Experimental Evaluations
EAGER:众包元数据增强功能以提高科学数据的可发现性和可重用性:实验评估
- 批准号:
1838994 - 财政年份:2018
- 资助金额:
$ 79.83万 - 项目类别:
Standard Grant
EAGER: Collaborative Research: A Benchmark Data Linkage Repository (DLRep)
EAGER:协作研究:基准数据链接存储库 (DLRep)
- 批准号:
1744065 - 财政年份:2017
- 资助金额:
$ 79.83万 - 项目类别:
Standard Grant
Expanding International Microdata Access: Linked German Survey and Administrative Data
扩大国际微观数据访问:链接德国调查和行政数据
- 批准号:
1326365 - 财政年份:2013
- 资助金额:
$ 79.83万 - 项目类别:
Standard Grant
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