RT Journal Article
SR Electronic
T1 NDI: A Platform-Independent Data Interface and Database for Neuroscience Physiology and Imaging Experiments
JF eneuro
JO eNeuro
FD Society for Neuroscience
SP ENEURO.0073-21.2022
DO 10.1523/ENEURO.0073-21.2022
VO 9
IS 1
A1 Daniel García Murillo
A1 Yixin Zhao
A1 Ora S. Rogovin
A1 Kelly Zhang
A1 Andrew W. Hu
A1 Mo Re Kim
A1 Shufei Chen
A1 Ziqi Wang
A1 Zoey C. Keeley
A1 Daniel I. Shin
A1 Victor M. Suárez Casanova
A1 Yannan Zhu
A1 Lisandro Martin
A1 Olga Papaemmanouil
A1 Stephen D. Van Hooser
YR 2022
UL http://www.eneuro.org/content/9/1/ENEURO.0073-21.2022.abstract
AB Collaboration in neuroscience is impeded by the difficulty of sharing primary data, results, and software across labs. Here, we introduce Neuroscience Data Interface (NDI), a platform-independent standard that allows an analyst to use and create software that functions independently from the format of the raw data or the manner in which the data are organized into files. The interface is rooted in a simple vocabulary that describes common apparatus and storage devices used in neuroscience experiments. Results of analyses, and analyses of analyses, are stored as documents in a scalable, queryable database that stores the relationships and history among the experiment elements and documents. The interface allows the development of an application ecosystem where applications can focus on calculation rather than data format or organization. This tool can be used by individual labs to exchange and analyze data, and it can serve to curate neuroscience data for searchable archives.