Quorum: An Open Platform for Crowdsourcing Visual Data Analysis

Quorum：众包可视化数据分析的开放平台

• 批准号: 9077726
• 负责人: Janet Iwasa
• 金额: $ 28.05万
• 依托单位: UNIVERSITY OF UTAH
• 依托单位国家: 美国
• 财政年份: 2016
• 资助国家: 美国
• 起止时间: 2016-05-15 至 2018-04-30
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/9077726
• 关键词: Address; Algorithms; Biology; Biomedical Research; Collection; Computer software; Custom; Data; Data Analyses; Data Set; Detection; Development; Failure; Genetic; Gold; Human Resources; Image; Methodology; Morphologic artifacts; Nature; Neurons; Noise; Output; Play; Process; Research; Research Personnel; Sampling; Signal Transduction; Skin; Specific qualifier value; Testing; Time; Training; Variant; Visual; Visual Pattern Recognition; crowdsourcing; digital media; experience; flexibility; high throughput analysis; imaging Segmentation; meetings; member; microscopic imaging; new technology; next generation sequencing; novel; open source; public health relevance; task analysis; usability; web based interface; web site

 DESCRIPTION (provided by applicant): Recent advancements in biomedical research, particularly the development of high- throughput methodologies, have allowed researchers to collect huge quantities of data at prodigious rates. For data that is visual or graphical in nature data analysis often poses a significant challenge. Segmentation or tracing of specific features within microscopic images, for example, is often difficult to completely automate due to noise and variations in sample quality and image collection. Images must often be analyzed manually, which is often a laborious and time consuming process. In order to address this issue, we will develop an open platform for crowdsourcing visual data analysis called Quorum. Quorum is an interactive, engaging painting game that allows members of the public to trace images or other visual data. As an open platform, Quorum will allow any researcher to upload images using a custom web-based interface and specify a segmentation challenge. After the images have been traced by game users, the researchers can retrieve their analyzed data on the Quorum website. Quorum will be free to use and open-source, allowing anyone to play or modify the platform.

 描述（由申请人提供）：生物医学研究的最新进展，特别是高通量方法学的发展，使研究人员能够以惊人的速度收集大量数据。对于本质上是视觉或图形的数据，数据分析通常构成重大挑战。例如，由于样本质量和图像收集中的噪声和变化，显微图像内的特定特征的分割或跟踪通常难以完全自动化。通常必须手动分析图像，这通常是一个费力且耗时的过程。为了解决这个问题，我们将开发一个名为Quorum的众包可视化数据分析开放平台。Quorum是一个互动的，引人入胜的绘画游戏，允许公众成员跟踪图像或其他视觉数据。作为一个开放的平台，Quorum将允许任何研究人员使用基于Web的自定义界面上传图像，并指定分割挑战。在游戏用户追踪图像后，研究人员可以在Quorum网站上检索他们的分析数据。Quorum将免费使用和开源，允许任何人玩或修改平台。