Databrary: An open video-based data-sharing system for developmental science

Databrary：用于发展科学的基于视频的开放数据共享系统

• 批准号: 8531595
• 负责人: Karen E Adolph
• 金额: $ 78.67万
• 依托单位: NEW YORK UNIVERSITY
• 依托单位国家: 美国
• 财政年份: 2013
• 资助国家: 美国
• 起止时间: 2013-04-05 至 2018-03-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/8531595
• 关键词: Achievement; Address; Adopted; Adoption; Agreement; Archives; Area; Authorization documentation; Behavior; Behavioral; Behavioral Sciences; Biological Preservation; Child; Clinical; Code; Commit; Communities; Community Practice; Computer software; Confidentiality; Critiques; Data; Data Collection; Data Provenance; Data Set; Databases; Development; Disease; Ensure; Face; Free Will; Health; Hour; Housing; Human; Human Resources; Image; Imagery; Imagination; Individual; Institutional Review Boards; Internet; Investments; Laboratories; Learning; Link; Manuscripts; Measurement; Metadata; Methods; Mining; Online Systems; Participant; Physicians; Population; Protocols documentation; Published Comment; Research; Research Infrastructure; Research Personnel; Resources; Science; Scientist; Stream; System; Testing; Time; Videotape; Work; base; computer science; data management; data sharing; file format; flexibility; high risk; innovation; insight; meetings; open source; peer; public health relevance; repository; response; tool; vocalization

DESCRIPTION (provided by applicant): Behavior develops from a variety of factors interacting across domains and time scales. To capture the richness of behavioral development and to understand its complexity, most developmental scientists record behavior on video. The average developmental science laboratory collects 12 hours of video per week. However, researchers rarely share video data, and this has slowed progress, impeded understanding, and diminished the impact of public investments in behavioral science. The Databrary project aims to increase scientific transparency and accelerate discovery in developmental science by building the culture and infrastructure for developmental researchers to share video data. The project has five aims: (1) Transform the culture of developmental science by building a community of researchers committed to open video data sharing; (2) Expand the free, open source video coding software, OpenSHAPA, to enable coding, exploring, and analyzing video; (3) Build a data management system to support data sharing within laboratories, among collaborators, and in the Databrary repository; (4) Create participant permissions and contributor/user standards that enable open sharing of video data while limiting access to authorized users and ensure participant confidentiality; (5) Create a web-based Databrary repository for open sharing and preservation of video data. The overall innovation of the project is the emphasis on open sharing of video data. The Databrary will be the first large-scale repository for sharing video data and related information. A second important innovation is the emphasis on community building and on transforming the culture in developmental science. The contribution of a particular dataset will no longer depend on the private activities of researchers from one laboratory, but instead benefit from the critique and imagination of many researchers with different viewpoints. Databrary users will be able to view one another's datasets thereby promoting greater transparency and peer oversight and supporting inquiry into data collection methods and measurement. Users will be able to reanalyze shared videos to test competing hypotheses, perform integrative analyses, learn from prior examples, and address new questions beyond the scope of the original study-enabling new possibilities for research in laboratories with limited financial and technical resources. By creating the tools and infrastructure for open video data sharing, we expect to deepen insights in developmental science. Moreover, the Databrary tools and infrastructure will enhance data sharing and management in the entire behavioral science community.

描述（由申请人提供）：行为是由各种跨域和时间尺度相互作用的因素发展的。为了捕捉行为发展的丰富性并了解其复杂性，大多数发展科学家都在视频中记录了行为。平均发育科学实验室每周收集12个小时的视频。但是，研究人员很少共享视频数据，这减慢了进步，阻碍了理解并减少了公共投资对行为科学的影响。数据培养项目旨在通过建立发展研究人员共享视频数据的文化和基础设施来提高发展科学中的科学透明度和加速发现。该项目有五个目标：（1）通过建立一个致力于开放视频数据共享的研究人员社区来改变发展科学的文化； （2）扩展免费的开源视频编码软件OpenShapa，以启用编码，探索和分析视频； （3）构建一个数据管理系统，以支持实验室内，合作者和数据库存储库中的数据共享； （4）创建参与者的权限和贡献者/用户标准，以使视频数据开放共享，同时限制对授权用户的访问并确保参与者机密性； （5）创建一个基于Web的数据库存储库，以打开和保存视频数据。该项目的整体创新是强调视频数据的公开共享。该数据库将是第一个用于共享视频数据和相关信息的大规模存储库。第二个重要的创新是强调社区建设和转变发展科学中的文化。特定数据集的贡献将不再取决于研究人员的私人活动 来自一个实验室，而是受益于许多具有不同观点的研究人员的批评和想象力。数据生物用户将能够查看彼此的数据集，从而促进更高的透明度和同行监督，并支持对数据收集方法和测量的调查。用户将能够重新分析共享的视频，以测试竞争假设，进行综合分析，从先前的示例中学习，并解决除原始研究的范围之外的新问题，包括有限的财务和技术资源的实验室研究的新可能性。通过为开放视频数据共享创建工具和基础架构，我们希望加深对发展科学的见解。此外，数据要素工具和基础架构将增强整个行为科学界的数据共享和管理。