Data Standardizing and Sharing

摘要 皮质电图（ECoG）是指从大脑表面记录。ECoG已用于 几十年来，选择临床目的-最常见的是确定功能和癫痫大脑区域的人 癫痫患者偶尔也会做研究长期以来，ECoG在基础研究中的重要作用一直受到关注。 被低估了在过去的几年里，ECoG的独特品质已成为广泛的， 越来越多地被从事基础和转化研究的科学家所认可。的主要来源 人类ECoG数据是癫痫患者，其接受硬膜下植入物以映射癫痫病灶， 在侵入性脑手术之前的功能。因此，数据收集仅限于125个IV级癫痫中心 在全国范围内进行这样的手术，并在每个这些中心每年约5-10名患者。 因此，更大规模的人类ECoG研究以及与动物ECoG研究的整合，例如所提出的那些 在此应用中，需要在多个医疗中心收集数据。然而，他们每个人都使用 可变数据采集协议、数据采集软件、数据采集硬件、数据格式，以及 跟踪Meta信息的方法和过程（例如，受试者当前的认知状态，或 其他评论）。这些变化极大地阻碍了，并且在实践中经常禁止基于ECoG的传导。 在多个地点进行研究。因此，实现拟议中心的科学目标依赖于 因此，在很大程度上取决于处理或缓解这些问题的机制的效力和效率。的 数据管理/共享（DMS）核心促进了人类和动物的数据收集，整合和共享 参与中心研究中心和项目的皮质电图（ECoG）数据。虽然ECoG数据提供了 实现该中心科学目标的巨大机会，五个人类ECoG站点中的每一个 (and该中心的一个猴子ECoG站点）每年只提供少数受试者的数据，而且那里 在这些研究中心，受试者和技术设置之间存在重要的差异。因此， DMS核心的目标是消除或减轻这些可变性，以最大限度地提高其科学价值。 ECoG数据集由中心制作，并尽量减少访问它们的困难。具体而言，AIM 1是为标准化软件中的实验实施提供支持; AIM 2是协调数据 使用标准化协议在ECoG站点收集数据; AIM 3将与这些站点连接以汇总数据 并验证数据的完整性; AIM 4将使数据可用于该中心的四个科学项目， 强大且易于使用的机制。

ABSTRACT Electrocorticography (ECoG) refers to recording from the surface of the brain. ECoG has been used for decades for select clinical purposes — most commonly to identify functional and epileptic brain areas in people with epilepsy — and occasionally for research. The important role of ECoG for basic research long been under-appreciated. Over the past several years, the unique qualities of ECoG have become widely and increasingly recognized by scientists engaged in basic and translational research. The primary sources of human ECoG data are patients with epilepsy patients, who receive subdural implants to map epileptic foci and function prior to invasive brain surgery. Thus, data collection is limited to the 125 class-IV epilepsy centers across the country that perform such surgeries, and to about 5-10 patients in each of these centers per year. Hence, larger-scale human ECoG studies and integration with animal ECoG studies, such as those proposed in this application, require that data are collected at multiple medical centers. However, each of them uses variable data collection protocols, data collection software, data collection hardware, data formats, and methods and procedures to keep track of meta information (e.g., the current cognitive status of the subject or other comments). These variations greatly impede, and in practice often prohibit the conduction of ECoGbased studies across multiple sites. Thus, achievement of the scientific goals of the proposed Center relies considerably on the effectiveness and efficiency of the mechanisms to address or mitigate these issues. The Data Management/Sharing (DMS) Core facilitates data collection, integration and sharing of human and animal electrocorticographic (ECoG) data across participating Center sites and projects. While ECoG data provide enormous opportunities for achieving the scientific goals of the Center, each of the five human ECoG sites (and the one monkey ECoG site) in the Center will provide data from only a few subjects each year, and there are important variabilities across subjects and technical setup at each of these sites. Thus, the overarching goal of the DMS Core is to remove or mitigate these variabilities so as to maximize the scientific value of the ECoG datasets produced by the Center and to minimize the difficulty in accessing them. In specific terms, AIM 1 is to provide support for implementation of experiments in standardized software; AIM 2 is to coordinate data collection at ECoG sites using standardized protocols; AIM 3 is to interface with those sites to aggregate data and to verify data integrity; and AIM 4 is to make data available to the Center's four scientific projects using robust and easy-to-use mechanisms.