COLLABORATIVE RESEARCH: BCC: Ethoinformatics: Developing Data Services and a Standard "Etho-Grammar" for Behavioral Research

合作研究：BCC：人类信息学：开发数据服务和行为研究标准“人类语法”

• 批准号: 1338467
• 负责人: Anthony Di Fiore
• 金额: $ 15.14万
• 依托单位: University of Texas at Austin
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2013
• 资助国家: 美国
• 起止时间: 2013-09-15 至 2017-10-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1338467&HistoricalAwards=false
• 关键词: COLLABORATIVE; RESEARCH; BCC; Ethoinformatics; Developing

A common challenge of data-intensive research in many scientific fields is the difficulty of pooling data in ways that support broad-scale comparative analysis. This is certainly the case for field studies of animal behavior, where investigators can seldom focus on more than one or a few species and locales. Comparative research in the behavioral sciences is also hindered by a lack of standards and transparency across research groups as well as a shortage of modern tools and technologies for collecting and managing behavioral data. This project will address these challenges developing strategies and technologies for behavioral research using the collective experience of database specialists, software developers, and field primatologists, a community chosen because it has a vibrant interest in these issues.There are four key goals to this project:1. To engage field primatologists and database specialists in developing open data standards that encompass the diversity of the discipline.2. To create and test a software system for data collection and management that puts these standards into practice. The system will be easily customized and able to run on a variety of mobile devices. Additionally the plans and software source code for it will be published openly for others to review, use, and improve upon.3. To develop additional software tools that will help behavioral researchers migrate existing data to work with this new system.4. To encourage researchers and institutional librarians to develop a vision for long-term archiving and curation of behavioral data.The project will also produce tools for data visualization and analysis, which should encourage investigators to incorporate real-time visual and statistical feedback into their research in both the field and laboratory. Because of the multidisciplinary nature of modern field primatology, this framework is expected to be broadly applicable to researchers from across the social, behavioral, economic, and natural sciences.This project aims to build an interdisciplinary community of behavioral researchers involving both junior and established scholars. Its products will enable these researchers to collect data more quickly and efficiently while expanding the scope and utility of their data beyond their immediate research questions. Through workshops, tutorials, and documentation, community members will become increasingly data- and design-literate, which will encourage more comparative, "big data" projects and spur collaboration across disciplines. A working repository for behavioral data will help foster a culture of data-sharing among researchers. Through an extensive online presence, the project team will communicate with the public about the progress of this project and about the practice of fieldwork, laboratory work, and science in general. The open nature of the project will enable the public to freely adopt and modify any of this project's products for varied and novel purposes. Finally, because the majority of researchers involved in this project are fieldworkers and educators with influence both in the United States and abroad, the ideas and tools produced will be widely disseminated, providing opportunities for education, outreach, and community participation in science.

在许多科学领域，数据密集型研究的一个普遍挑战是以支持广泛比较分析的方式汇总数据的困难。对于动物行为的现场研究肯定是这种情况，研究人员很少关注多个或几种物种和地区。在研究小组之间缺乏标准和透明度，以及用于收集和管理行为数据的现代工具和技术的短缺，这也阻碍了行为科学的比较研究。该项目将通过数据库专家，软件开发人员和现场原理学家的集体经验来制定行为研究的策略和技术，以解决这些挑战，这是一个社区，因为它对这些问题具有生机勃勃的兴趣。该项目有四个关键目标：1。吸引现场灵长类学家和数据库专家，以开发涵盖学科多样性的开放数据标准2。创建和测试用于数据收集和管理的软件系统，以实践这些标准。该系统将很容易自定义，并且能够在各种移动设备上运行。此外，计划和软件源代码将公开发布供其他人审查，使用和改进3。为了开发其他软件工具，可以帮助行为研究人员迁移现有数据以与该新系统一起使用。4。为了鼓励研究人员和机构图书馆员发展行为数据的长期归档和策划的愿景。该项目还将生产用于数据可视化和分析的工具，这应该鼓励研究人员将实时的视觉和统计反馈纳入其在现场和实验室中的研究中。由于现代领域启示的多学科性质，该框架有望广泛适用于来自社会，行为，经济和自然科学的研究人员。该项目旨在建立一个涉及初级和既定学者的行为研究人员的跨学科社区。它的产品将使这些研究人员能够更快，更有效地收集数据，同时将数据的范围和效用扩大到其直接研究问题之外。通过研讨会，教程和文档，社区成员将变得越来越多的数据和设计识字，这将鼓励更具比较的“大数据”项目，并跨越学科的协作。行为数据的工作存储库将有助于培养研究人员之间的数据共享文化。通过广泛的在线形象，项目团队将与公众沟通该项目的进步以及野外工作，实验室工作和一般科学的实践。该项目的开放性质将使公众能够以各种和新颖的目的自由地采用和修改该项目的任何产品。最后，由于参与该项目的大多数研究人员是在美国和国外具有影响力的野外工作者和教育者，因此所产生的思想和工具将被广泛传播，为教育，外展和社区参与科学提供机会。