Data Science Core

数据科学核心

基本信息

批准号：
10670075
负责人：
Richard C Gerkin
金额：
$ 10.69万
依托单位：
NEW YORK UNIVERSITY SCHOOL OF MEDICINE
依托单位国家：
美国
项目类别：
财政年份：
2019
资助国家：
美国
起止时间：
2019-09-01 至 2025-05-31
项目状态：
未结题

来源：
https://reporter.nih.gov/project-details/10670075
关键词：
Abnormal coordination Adopted Algorithms Anatomy Biomedical Research Categories Code Communities Data Data Analyses Data Collection Data Science Core Data Set Dependence Documentation Dorsal Ensure Ethology Experimental Designs Freezing Fruit Future Genetic Genomics Goals Human Individual Knowledge Licensing Methods Modeling Morphologic artifacts Neurons Neurosciences Odors Outcome Output Performance Physiological Physiology Psychophysics Pythons Records Regional Anatomy Reproducibility Research Research Design Rodent Services Signal Transduction Smell Perception Source Code Specific qualifier value Standardization Statistical Data Interpretation Statistical Models Stimulus Surface System Technology Testing Time Work cell type climate science cost data integration data reduction data repository data sharing design experience experimental analysis experimental study falls high dimensionality high energy physics mathematical model multiscale data olfactory bulb open data open source opportunity cost optical imaging receptive field software development web services

项目摘要

Biomedical research has experienced a crisis of reproducibility, exacerbated by lack of coordination between research groups, weak study designs, opaque algorithms, and an unwillingness to share the fruits of research efforts. But recent years have seen the beginning of a push to solve this crisis, with a focus on integration across labs, standardization, rigorous statistical analysis, open source code, and the sharing of data and methods. This proposal aims to “Crack the Olfactory Code”, a far-reaching goal that will require a firm commitment to rigorous, open science principles. The Data Science Core (DSC) for this proposal reflects a plan to meet this commitment in three major ways: (1) The DSC will tightly coordinate the integration of data across the proposal’s five scientific projects, utilizing standards and adopting technology for total reproducibility of all findings, as well as ensuring that all research outputs will be made comprehensively and intelligibly available to the public; (2) The DSC will work with project leaders to optimize data collection decisions using statistical models, saving time and money while increasing scientific inference; (3) The DSC will standardize odorant stimuli across projects and create a service for pushing this standard into the larger research community, ensuring that future research efforts can be directly informed by our efforts and can inform each other.

生物医学研究经历了可重复性危机，而且由于各研究机构之间缺乏协调而加剧了这种危机。研究小组、研究设计薄弱、算法不透明、不愿意分享研究成果但近年来，人们开始推动解决这场危机，重点是一体化跨实验室、标准化、严格的统计分析、开源代码以及数据和共享该提案旨在“破解嗅觉密码”，这是一个影响深远的目标，需要坚定的决心。该提案的数据科学核心 (DSC) 体现了对严格、开放科学原则的承诺。计划通过三个主要方式兑现这一承诺：（1）DSC将紧密协调数据整合该提案的五个科学项目利用标准并采用技术来实现完全可重复性所有研究结果，以及所有研究成果都将全面、清晰地确保 (2) DSC 将与项目负责人合作，利用以下方法优化数据收集决策：统计模型，节省时间和金钱，同时增加科学推理（3）DSC 将标准化；跨项目的气味刺激，并创建一项服务，将该标准推向更大规模的研究社区，确保未来的研究工作可以直接从我们的努力中获得信息，并且可以为每个人提供信息其他。