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Portfolio

Standards and best practices portfolio

The purpose of the INCF standards and best practices portfolio is to facilitate the discovery, selection, and appropriate use of standards and best practices that support open and FAIR neuroscience.

NIX
ENDORSED
RRID:SCR_016196
Neuroscience information exchange format (NIX) data model allows storing fully annotated scientific datasets, i.e. the data together with rich metadata and their relations in a consistent, comprehensive format. Its aim is to achieve standardization… Read more
NWB:N 2.0
ENDORSED
RRID:SCR_015242
Neurodata Without Borders (NWB) is a data standard for neurophysiology, providing neuroscientists with a common standard to share, archive, use, and build analysis tools for neurophysiology data. NWB is designed to store a variety of neurophysiology… Read more
NeuroML
ENDORSED
RRID:SCR_003083
NeuroML is a simulator-independent, XML-based standardized model description language for computational neuroscience that provides a common data format for defining and exchanging descriptions of neuronal cell and network models. NeuroML focuses on… Read more
BIDS
ENDORSED
RRID:SCR_016124
The Brain Imaging Data Structure (BIDS) is a standard prescribing a formal way to name and organize MRI data and metadata in a file system that simplifies communication and collaboration between users and enables easier data validation and software… Read more
PyNN
ENDORSED
RRID: SCR_002715
PyNN is a simulator-independent language for building neuronal network models. The PyNN API aims to support modelling at a high-level of abstraction (populations of neurons, layers, columns and the connections between them) while still allowing… Read more
DAQCORD
ENDORSED
RRID:SCR_017395
The Data Acquisition, Quality and Curation for Observational Research Designs (DAQCORD) Guidelines are the first comprehensive set of data quality indicators for large, clinical observational studies. They were developed around the needs of… Read more
NIDM
COMMITTEE REVIEW
RRID:SCR_013667
NeuroImaging Data Model (NIDM)-Results provides a representation of mass univariate neuroimaging analysis results, unified across analysis software packages. Implementation of NIDM-Results within FSL and SPM, two of the main neuroimaging software… Read more
FAIR software
COMMUNITY REVIEW
RRID: NA

The Five Recommendations for FAIR Software aim to encourage the greater adoption of FAIR principles by providing a set of starting recommendations that researchers can use to improve the quality, reach, and reproducibility of their software.The… Read more

Research Resource Identifier
EXPERT REVIEW
RRID:SCR_005400
The RRID is a Persistent Unique Identifier assigned to help researchers cite key resources (antibodies, model organisms, and software projects) in the biomedical literature to improve transparency of research methods. They are machine readable, free… Read more
NEO
EXPERT REVIEW
RRID:SCR_000634
Neo is an object model for handling electrophysiology data in multiple formats. It is suitable for representing data acquired from electroencephalographic, intracellular, or extracellular recordings, or generated from simulations. Neo has been… Read more
COBIDAS
SUBMITTED
RRID: NA
The purpose of this best practice is to elaborate the principles of open and reproducible research for neuroimaging using Magnetic Resonance Imaging (MRI). It covers: 1. experimental design reporting, 2. image acquisition reporting, 3. preprocessing… Read more
MBF File Format v 4.0
SUBMITTED
RRID:N/A
The neuromorphological file format balances structure with flexibility by storing each modeled object as a unique data element and providing mechanisms for grouping any number and type of data elements. File-level metadata is retained to provide… Read more
MDAR
SUBMITTED
NA
The MDAR framework establishes a minimum set of requirements in transparent reporting applicable to studies in the life sciences. The MDAR checklist is a tool for authors, editors and others seeking to adopt the MDAR framework for transparent… Read more
odML
SUBMITTED
RRID:SCR_001376
Open metadata markup language (odML) is a format for storing metadata in an organised human- and machine-readable way. It does not constrain the metadata content, while providing a common schema (with implementations in XML, JSON, YAML) to integrate… Read more