(Hyper)active Data Curation: A Video Case Study from Behavioral Science.
(Hyper)active Data Curation: A Video Case Study from Behavioral Science.
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DOI：
10.7191/jeslib.2021.1208
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发表时间：
2021
影响因子：
--
通讯作者：
Adolph KE
中科院分区：
文献类型：
--
作者：
Soska KC;Xu M;Gonzalez SL;Herzberg O;Tamis-LeMonda CS;Gilmore RO;Adolph KE
视频数据特别适合研究重复使用和记录研究方法和结果。然而，视频数据的管理对于社会和行为科学的研究人员来说是一个严重的障碍，因为行为视频数据是逐个会议地获得的，数据共享并不是常态。为了消除在发布时(或以后)进行事后管理的繁重负担，我们描述了主动数据管理的最佳做法--在每次数据收集之后立即对数据进行管理和上载，以便在任何时候只需按一下按钮即可实现即时共享。事实上，我们建议研究人员采用“过度活跃”的数据管理方式，公开分享他们研究过程中的每一步。必要的基础设施和工具由数据库提供，这是一个安全的、基于网络的数据库，旨在积极管理和共享个人可识别的视频数据和相关元数据。我们提供了一个案例，对来自Play and Learning over a Year(Play)项目的视频数据进行过度活跃的整理，在该项目中，数十名研究人员开发了一个通用协议来收集、注释和积极整理北美各地研究地点婴儿和母亲在家中自然活动期间的视频数据。Play依靠可扩展的标准化工作流来促进协作研究，确保数据质量，并准备语料库，以便在整个研究过程中共享和重复使用。
Video data are uniquely suited for research reuse and for documenting research methods and findings. However, curation of video data is a serious hurdle for researchers in the social and behavioral sciences, where behavioral video data are obtained session by session and data sharing is not the norm. To eliminate the onerous burden of post hoc curation at the time of publication (or later), we describe best practices in active data curation—where data are curated and uploaded immediately after each data collection to allow instantaneous sharing with one button press at any time. Indeed, we recommend that researchers adopt “hyperactive” data curation where they openly share every step of their research process. The necessary infrastructure and tools are provided by Databrary—a secure, web-based data library designed for active curation and sharing of personally identifiable video data and associated metadata. We provide a case study of hyperactive curation of video data from the Play and Learning Across a Year (PLAY) project, where dozens of researchers developed a common protocol to collect, annotate, and actively curate video data of infants and mothers during natural activity in their homes at research sites across North America. PLAY relies on scalable standardized workflows to facilitate collaborative research, assure data quality, and prepare the corpus for sharing and reuse throughout the entire research process.