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

使数据可访问:BrainRNAseq.org 的重建和扩展

基本信息

  • 批准号:
    10588169
  • 负责人:
  • 金额:
    $ 8.75万
  • 依托单位:
  • 依托单位国家:
    美国
  • 项目类别:
  • 财政年份:
    2022
  • 资助国家:
    美国
  • 起止时间:
    2022-04-01 至 2025-03-31
  • 项目状态:
    未结题

项目摘要

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.
项目摘要 现在,大数据集成为许多研究的常规输出。这种现实的必然是不断增长的 将这些信息传播给其他科学家,这一壮举提出了自己的挑战。 7年前,我们 发现我们解决了这些问题,因为我们产生了一系列鼠标和人类 我们认为的数据集将极大地使神经胶质(和更大的神经科学)社区受益。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 - 无论是在家浏览还是在沿着海报过道行走时 会议。随着时间的流逝,该网站已成为我们科学界的主食,目前正在获得收获 每天有250个用户,仅在过去3年中,有超过56,000名不同的用户。但是,该网站需要 后端维修以确保其在可预见的未来的实用性。在本提案的第一个目的中,我们将重建 站点在维护其用户界面并添加用户要求的升级的同时。我们的第二个目标是建立一个免费 将使其他创建者轻松构建类似站点的应用程序。创作者将不需要编码 经验 - 只有一个.csv文件,其中包括其数据,而我们的应用程序(DataSpectra 2.0)将提供一套简单的套件 构建用户友好的网站的美学选项,其他人可以在其中探索和下载其数据。最后, 为了巩固当前散布在网络上的越来越多的数据集,我们将创建“ Barreseq” - A GLIAL数据集的中央存储库,在该数据集中,受训者和教职员工迅速应用过滤器(物种,数据类型,年龄, 等)以确定相关数据集的特定兴趣。我们设想一个范式,其中数据共享移动 迈向标准化。我们想构建降低个人激活能量所需的工具 共享他们的数据,并以视觉上熟悉和对其他用户易于消化的机制进行。我们相信 这将在产生更强的假设方面加强我们的科学界 更容易地分享每个人都产生的宝贵资源的精神。

项目成果

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Shane Liddelow其他文献

Shane Liddelow的其他文献

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{{ truncateString('Shane Liddelow', 18)}}的其他基金

Neurotoxicity of Reactive Astrocyte-secreted Lipids in Neurodegenerative Disease
反应性星形胶质细胞分泌的脂质在神经退行性疾病中的神经毒性
  • 批准号:
    10342373
  • 财政年份:
    2022
  • 资助金额:
    $ 8.75万
  • 项目类别:
Making data accessible: a rebuild and expansion of BrainRNAseq.org
使数据可访问:BrainRNAseq.org 的重建和扩展
  • 批准号:
    10432818
  • 财政年份:
    2022
  • 资助金额:
    $ 8.75万
  • 项目类别:
Neurotoxicity of Reactive Astrocyte-secreted Lipids in Neurodegenerative Disease
反应性星形胶质细胞分泌的脂质在神经退行性疾病中的神经毒性
  • 批准号:
    10576374
  • 财政年份:
    2022
  • 资助金额:
    $ 8.75万
  • 项目类别:

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使数据可访问:BrainRNAseq.org 的重建和扩展
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    10432818
  • 财政年份:
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  • 资助金额:
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电视广告与儿童饮食活动和肥胖率
  • 批准号:
    8412699
  • 财政年份:
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  • 资助金额:
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墨西哥裔年轻人的急诊科筛查和短暂干预
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    7783402
  • 财政年份:
    2010
  • 资助金额:
    $ 8.75万
  • 项目类别:
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电视广告与儿童饮食活动和肥胖率
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  • 财政年份:
    2010
  • 资助金额:
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