Making data accessible: a rebuild and expansion of BrainRNAseq.org

项目摘要 大数据集现在是许多研究的常规输出。这一现实的必然结果是不断增长的需求 将这一信息传播给其他科学家，这一壮举也带来了挑战。7年多前，我们 我们发现自己在努力解决这些问题，因为我们已经产生了一系列的老鼠和人类 我们认为这些数据集将极大地造福于神经胶质(以及更大的神经科学)社区。经过多次迭代， 我们开发了一个名为BrainRNAseq.org的网站，这是其他科学家可以轻松和 快速访问我们的数据-无论他们是在家里浏览，还是在走在海报过道上的时候 开会。随着时间的推移，这个网站已经成为我们科学界的主要内容，目前已经获得了 每天250个用户，仅在过去3年就有超过56,000个不同的用户。然而，该网站需要 后端维修，以确保其在可预见的未来的使用。在这项提案的第一个目标中，我们将重建 网站，同时维护其用户界面并添加用户请求的升级。我们的第二个目标是建立一个免费的 应用程序，将使其他创建者轻松建立类似的网站。创建者将不需要编码 体验-只有包含其数据的.csv文件，我们的应用程序(Dataspectra 2.0)将提供一套简单的 美学选项，以构建一个用户友好的网站，其他人可以在那里浏览和下载他们的数据。最后， 为了整合目前分散在Web上的越来越多的数据集，我们将创建“Barreseq”-a 面向神经胶质数据集的中央存储库，学员和教职员工可快速应用过滤器(物种、数据类型、年龄、 等)，以确定其特定兴趣的相关数据集。我们设想了一种数据共享模式 走向标准化。我们希望建立必要的工具来降低个人的激活能 共享他们的数据，并以一种视觉上熟悉的、其他用户可以理解的机制这样做。我们相信 这将加强我们的科学界，无论是在产生更强有力的假说方面，还是在 更容易地分享每个人都在生产的宝贵资源的精神。

Project Summary Big datasets are now a routine output for many studies. A corollary of this reality is the ever-growing need to disseminate this information to other scientists, a feat that presents its own challenges. Over 7 years ago, we found ourselves grappling with these very questions because we had generated a series of mouse and human datasets that we felt would greatly benefit the glial (and greater neuroscience) community. After many iterations, we developed a website called BrainRNAseq.org, a central source where other scientists could easily and quickly access our data—whether they were browsing at home, or while walking down the poster aisle at a meeting. Over time, this website has become a staple within our scientific community and currently garners over 250 users per day, with over 56,000 different users in the past 3 years alone. However, the site is in need of back-end repairs to ensure its utility for the foreseeable future. In the first aim of this proposal, we will rebuild the site while maintaining its user interface and adding user-requested upgrades. Our second aim is to build a free application that will enable other creators to build similar sites with ease. Creators will need no coding experience—only a .csv file with their data, and our application (Dataspectra 2.0) will provide a suite of simple aesthetic options to construct a user-friendly website where others can explore and download their data. Finally, to consolidate the growing number of datasets currently scattered across the web, we will create “Barreseq”—a central repositiory for glial datasets where trainees and faculty and quickly apply filters (species, data type, age, etc) to identify relevant datasets for their specific interests. We envision a paradigm in which data sharing moves towards standardization. We want to build the tools necessary to lower the activation energy for individuals to share their data, and to do so in a mechanism that is visually familiar and digestible to other users. We believe that this will strengthen our scientific community, both in terms of generating stronger hypotheses, and in the spirit of more easily sharing the valuable resources that everyone is producing.