Meeting: Advancing the Accessibility of Data for Behavioral Research in the 21st Century; Ithaca, NY - Summer, 2016

数字时代为数据存储和访问创造了新的机会，带来了开放数据共享的氛围和期望，这将使更广泛的科学界受益。对于动物行为领域，由于收集和使用大量数据类型，需要解决标准问题，以及对一些关键数据类型进行存档的共同策略，数据共享和访问带来了一系列挑战。 例如，视听记录需要大量的“动手”时间进行处理，需要大文件的大存储容量，需要丰富的描述性元数据，并随着技术的变化不断迁移到新的格式。因此，这些行为数据仍然是令人望而却步的不足，生物研究界广泛无法访问。 然而，与此同时，生物学家和其他研究人员正在收集大量此类数据，而且随着记录技术变得更加复杂和廉价，这种趋势正在增加。如果数字媒体存档的挑战得不到解决，这些数据一般仍将无法获取。该奖项资助将于2016年在康奈尔大学鸟类学实验室举行的研讨会。会议将汇集来自多个相关领域的专家，讨论与动物行为和生理学研究相关的样本的保存和可获得性。来自多个利益相关者社区的代表和专家将聚集在一起，记录广泛获取行为数据的挑战，并制定一个优先考虑关键问题的框架。结果将以白色文件和正式出版物形式发表。这次会议将与发展强调使用数字媒体的公民科学项目的方法和途径有关。研究生和博士后将参加会议本身，提供宝贵的经验，并加强他们的培训和数据存档和可访问性的背景。

The digital era has created new opportunities for data storage and access, leading to an atmosphere and expectation for open data sharing that will benefit the broader scientific community. For the field of animal behavior, data sharing and access presents a range of challenges due to the collection and use of numerous data types, the need to address standards, and a common strategy for archiving some key data types. For example, audiovisual recordings require substantial "hands on" time for processing, large storage capacity for large files, rich descriptive metadata, and constant migration to new formats as technologies change. As a consequence, these behavioral data remain prohibitively under-curated and broadly inaccessible to the biological research community. Yet, at the same time, biologists and other researchers are collecting vast amounts of such data, and this trend is increasing as recording technologies become more sophisticated and inexpensive. These data will remain generally inaccessible if the challenges of archiving digital media are not addressed. This award funds a workshop to be held at the Cornell Lab of Ornithology in 2016. The meeting will bring together experts from a number of relevant fields to discuss preservation and accessibility of samples relevant to research on animal behavior and physiology. Representatives and experts from several stakeholder communities will come together to document the challenges of making behavioral data broadly accessible, and to develop a framework that prioritizes the key issues. Outcomes will be published in a white paper and a formal publication. The meeting will be relevant to the development of methods and approaches to citizen science projects that emphasize the use of digital media. Graduate students and postdocs will participate in the meeting itself, providing a valuable experience and enhancing their training and background in data archiving and accessibility.