Databrary: An open video-based data-sharing system for developmental science
Databrary: An open video-based data-sharing system for developmental science
批准号:
9033938
负责人:
Karen E Adolph
金额:
$70.21万
依托单位:
依托单位国家:
美国
项目类别:
财政年份:
2013
资助国家:
美国
项目状态:
已结题
起止时间:
2013-04-05 至 2018-03-31
关键词:
AchievementAddressAdoptedAdoptionAgreementArchivesAreaBehaviorBehavioralBehavioral SciencesBiological PreservationChildClinicalCodeCommunitiesCommunity PracticeCommunity of PracticeComputer softwareCritiquesDataData CollectionData ProvenanceData SetDevelopmentDiseaseEnsureFaceFree WillHealthHourHousingHumanHuman ResourcesImageImageryImaginationIndividualInstitutional Review BoardsInternetInvestmentsLaboratoriesLearningLinkManuscriptsMeasurementMetadataMethodsMiningOnline SystemsParticipantPhysiciansPopulationProtocols documentationPublished CommentResearchResearch InfrastructureResearch PersonnelResourcesScienceScientistStreamSystemTestingTimeVideotapeWorkbasecommunity buildingcomputer sciencedata managementdata sharingfile formatflexibilityhigh riskinnovationinsightmeetingsonline repositoryopen dataopen sourcepeerrepositoryresponsetoolvocalization
中文摘要
描述(由申请人提供):行为是由跨领域和时间尺度相互作用的各种因素发展而来的。为了捕捉行为发展的丰富性并理解其复杂性,大多数发展科学家都用视频记录行为。发展科学实验室平均每周收集12小时的视频。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为发展研究人员建立共享视频数据的文化和基础设施,提高科学透明度并加速发展科学的发现。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,以实现编码,探索和分析视频;(3)建立一个数据管理系统,以支持实验室内,合作者之间以及数据库中的数据共享;(4)建立参与者许可和贡献者/用户标准,使视频数据能够公开共享,同时限制授权用户的访问,并确保参与者的机密性;(5)建立一个基于网络的数据库,以公开共享和保存视频数据。该项目的整体创新之处在于强调视频数据的开放共享。该数据库将是第一个共享视频数据和相关信息的大规模储存库。第二个重要的创新是强调社区建设和在发展科学中改变文化。特定数据集的贡献将不再取决于研究人员的私人活动
从一个实验室,而是受益于批评和想象力的许多研究人员与不同的观点。数据库用户将能够查看彼此的数据集,从而促进更大的透明度和同行监督,并支持对数据收集方法和衡量的调查。用户将能够重新分析共享的视频,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,从而为在财政和技术资源有限的实验室中进行研究提供新的可能性。通过创建开放视频数据共享的工具和基础设施,我们希望加深对发展科学的见解。此外,数据库工具和基础设施将加强整个行为科学社区的数据共享和管理。
英文摘要
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.
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