The Secretariat’s team of neuroinformatics developers can be contracted to develop tools, infrastructure, and standards that embrace the principles of open, FAIR, and citable neuroscience for your project. Contact firstname.lastname@example.org if you are interested in co-developing with us.
INCF working groups co-developement projects can be found here.
Current and past secreatariat co-development projects:
The INCF Secretariat is currently contracted by the Human Brain Project/EBRAINS to develop KnowledgeSpace, an open data discoverability portal that links brain research concepts with the data, models, and literature that supports them, in partnership with the Neuroscience Information Framework (NIF).Partners
The INCF Secretariat is currently working with the Human Brain Project/EBRAINS to develop the open Metadata Initiative for Neuroscience Data Structures (openMINDS), a metadata framework that develops and maintains a set of metadata models as well as libraries of controlled terminologies, brain atlases, and common coordinate spaces for neuroscience graph databases. INCF serves as a coordinator of the ontology engineering team.Partners
INCF was awarded a Human Brain Project (HBP) FET Flagship Infrastructure Voucher to develop a TBI metadata schema for federated data analysis on Traumatic Brain Injury (TBI) datasets through the Medical Informatics Platform (MIP). Based on data elements from NINDS CDE catalog, the schema abstracts variables from the two European TBI studies, CENTER-TBI and CREACTIVE. The current version of the data model focuses on the variables required for IMPACT prognostic calculations for predicting 6 month outcomes in adult patients with moderate to severe head injury.Partners
A web based application for simplifying data sharing and metadata management developed by INCF to meet the needs of the CENTER-TBI researchers. Most clinical data management tools are designed for efficient data acquisition and data processing; however, they often lack a usable data access interface. Neurobot, a lightweight data sharing application, was developed to provide a user-friendly data access interface that can be used for sharing a wide variety of versioned datasets. The data model behind Neurobot has a scalable backend and has been optimized for faster queries on large datasets. By separating data publishing and sharing tools from the data management platform, Neurobot provides the flexibility required for clinical and non clinical studies. Contact email@example.com to learn more about how Neurobot can be leveraged in your project.Partners
Based on the experience gained from managing the CENTER-TBI data, in an effort to promote high quality data and improve the data sharing for the future, a new initiative called Data Access Quality & Curation for Observational Research Designs (DAQCORD) has been started. DAQCORD is initiated from the International Initiative for Traumatic Brain Injury Research (InTBIR) where INCF is an active participant. The goal is to capture key information about data acquisition, quality control measures, and curation in a tool that is linked to the dataset so that potential research collaborators can determine if the data meets their needs and expectations.Partners