This talk gives an overview of the perspectives and FAIR-aligned policies of the academic journal Public Library of Science, better known as PLOS. This journal is a nonprofit, open access publisher empowering researchers to accelerate progress in science. 

This brief video provides a welcome and short introduction to the outline of the INCF Short Course in Neuroinformatics, held Seattle, Washington in October 2023, in coordination with the West Big Data Hub and the University of Washington. 

This opening lecture from INCF's Short Course in Neuroinformatics provides an overview of the field of neuroinformatics itself, as well as laying out an argument for the necessity for developing more sophisticated approaches towards FAIR data management principles in neuroscience. 

This lecture gives a tour of what neuroethics is and how it applies to neuroscience and neurotechnology, while also addressing justice concerns within both fields. 

This lecture covers a wide range of aspects regarding neuroinformatics and data governance, describing both their historical developments and current trajectories. Particular tools, platforms, and standards to make your research more FAIR are also discussed.

Overview of the evolution of scientific paradigms and the growing role of digital infrastructures in modern neuroscience

Mathew Abrams, Director of Science & Training at INCF, outlined how INCF and its global community advance standards, software, infrastructure, and education to enable FAIR and open neuroscience.

EBRAINS is an open research infrastructure which gathering data, tools and computing facilities for brain-related research. In this lecture, professor Trygve Leergaard will introduce the EBRAINS ecosystem and give overview of services for sharing, finding, and using brain research data. He will provide practical examples of how EBRAINS can add values to neuroscience research projects and explain how researchers can engage and utilize the different resources available

This session introduced EBRAINS data and knowledge services and explained how to achieve impactful data sharing through proper curation, FAIR principles, and secure handling of both non-sensitive and sensitive data.

This lesson focused on the importance of organizing data and metadata effectively to ensure that datasets are FAIR and to make data sharing more impactful.

Research Resource Identifiers (RRIDs) are ID numbers assigned to help researchers cite key resources (e.g., antibodies, model organisms, and software projects) in biomedical literature to improve the transparency of research methods.

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 development through using consistent paths and naming for data files.

Neurodata Without Borders (NWB) is a data standard for neurophysiology that provides neuroscientists with a common standard to share, archive, use, and build common analysis tools for neurophysiology data.

The Neuroimaging Data Model (NIDM) is a collection of specification documents that define extensions the W3C PROV standard for the domain of human brain mapping. NIDM uses provenance information as means to link components from different stages of the scientific research process from dataset descriptors and computational workflow, to derived data and publication.

This lesson provides a brief introduction to the Neuroscience Information Exchange (NIX) Format data model, which allows storing fully annotated scientific datasets, i.e., data combined with rich metadata and their relations in a consistent, comprehensive format.

This lecture provides an overview of successful open-access projects aimed at describing complex neuroscientific models, and makes a case for expanded use of resources in support of reproducibility and validation of models against experimental data.

KnowledgeSpace is a community-based encyclopedia that links brain research concepts to data, models, and literature. It provides users with access to anatomy, gene expression, models, morphology, and physiology data from over 15 different neuroscience data/model repositories, such as Allen Institute for Brain Science and the Human Brain Project.

This talk deals with Identifiers.org, a central infrastructure for findable, accessible, interoperable and re-usable (FAIR) data, which provides a range of services  to promote the citability of individual data providers and integration with e-infrastructures.

This lecture gives an introduction to the FAIR (findability, accessibility, interoperability, and reusability) science principles and examples of their application in neuroscience research. 

This lecture covers FAIR atlases, including their background and construction, as well as how they can be created in line with the FAIR principles.