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

行为是由跨领域和跨时间尺度的各种因素相互作用而形成的。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会录制视频。然而，研究人员很少分享视频数据，这减缓了进展，阻碍了理解，并削弱了行为科学公共投资的影响。数据库项目旨在通过让科学家轻松方便地共享视频数据来提高科学透明度并加速发展科学的发现。目前还不存在用于共享数字视频数据的大规模存储库;参与该项目的研究人员将创建一个基于网络的存储库（databrary.org）。他们将开发数据管理工具，使贡献视频文件和元数据方便和可靠的研究人员，他们将创建机制，使转码，搜索，浏览，可视化，流，并从数据库下载文件。OpenSHAPA（openshapa.org）是一个免费的开源视频编码工具，将成为数据库的通用文件格式。研究人员将开发工具，将其他系统中编码的数据转换为OpenSHAPA格式，并将增强OpenSHAPA以支持多媒体数据的集成，如眼动跟踪，运动跟踪，生理测量和脑成像。研究人员将通过建立发展科学家的用户/贡献者社区来解决与开放视频数据共享相关的文化，历史，技术和隐私/道德挑战。在社区的投入下，他们将开发模板许可语言，以便调查人员可以向图书馆提供数据集，他们将制定贡献者和用户协议，以确保适当的访问级别。研究人员将通过研讨会、网络研讨会和现场培训为新兴用户社区提供培训和技术支持。通过创建开放视频数据共享工具，该项目将加深对发展科学的见解并加速发现。一个特定数据集的贡献将不再依赖于一个实验室的研究人员的私人活动，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。研究人员将能够查看彼此的数据集并重新分析它们，以测试相互竞争的假设，进行综合分析，从以前的例子中学习，并解决超出原始研究范围的新问题-在有限的财政和技术资源的实验室中实现新的研究可能性。此外，他们开发的基础设施将对整个行为科学界的数据共享和数据管理产生广泛的影响。

Behavior develops from a variety of factors interacting across domains and time scales. To capture the richness of behavioral development and understand its complexity, most developmental scientists record video. 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 making it easy and convenient for scientists to share video data. No large-scale repository for sharing digital video data currently exists; the researchers involved in this project will create a web-based repository (databrary.org). They will develop data management tools to make contributing video files and metadata convenient and reliable for researchers, and they will create mechanisms to enable transcoding, searching, browsing, visualizing, streaming, and downloading files from the Databrary. OpenSHAPA (openshapa.org), a free, open-source video-coding tool will become the common file format for the Databrary. The investigators will develop tools to convert data coded in other systems to the OpenSHAPA format, and they will enhance OpenSHAPA to support integration of multimedia data such as eye tracking, motion tracking, physiological measures, and brain imaging. The investigators will address cultural, historical, technical, and privacy/ethics challenges associated with open video data sharing by building a user/contributor community of developmental scientists. With community input, they will develop template permission language so that investigators can contribute datasets to the library, and they will develop contributor and user agreements to ensure appropriate levels of access. The investigators will provide training and technical support to the emerging user community through workshops, webinars, and on-site training.By creating tools for open video data sharing, the project will deepen insights and accelerate discovery 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. Researchers will be able to view one another's datasets and reanalyze them 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 labs with limited financial and technical resources. Moreover, the infrastructure they develop will have broad impacts for data sharing and data management in the entire behavioral science community.