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Since their introduction in 2016, the FAIR data principles have gained increasing recognition and adoption in global neuroscience.  FAIR defines a set of high-level principles and practices for making digital objects, including data, software, and workflows, Findable, Accessible,  Interoperable, and Reusable.  But FAIR is not a specification;  it leaves many of the specifics up to individual scientific disciplines to define.  INCF has been leading the way in promoting, defining, and implementing FAIR data practices for neuroscience.  We have been bringing together researchers, infrastructure providers, industry, and publishers through our programs and networks.  In this session, we will hear some perspectives on FAIR neuroscience from some of these stakeholders who have been working to develop and use FAIR tools for neuroscience.  We will engage in a discussion on questions such as:  how is neuroscience doing with respect to FAIR?  What have been the successes?  What is currently very difficult? Where does neuroscience need to go?

 

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

Difficulty level: Beginner
Duration: 14:24
Speaker: : Heidi Kleven

Learn how to build and share extensions in NWB

Difficulty level: Advanced
Duration: 20:29
Speaker: : Ryan Ly

Learn how to build custom APIs for extension

Difficulty level: Advanced
Duration: 25:40
Speaker: : Andrew Tritt

Learn how to handle writing very large data in PyNWB

Difficulty level: Advanced
Duration: 26:50
Speaker: : Andrew Tritt

Learn how to handle writing very large data in MatNWB

Difficulty level: Advanced
Duration: 16:18
Speaker: : Ben Dichter

Elizabeth Dupre provides reviews some standards for project management and organization, including motivation in the view of the FAIR principles and improved reproducibility.

Difficulty level: Beginner
Duration: 01:08:34
Speaker: : Elizabeth DuPre

The landscape of scientific research is changing. Today’s researchers need to participate in large-scale collaborations, obtain and manage funding, share data, publish, and undertake knowledge translation activities in order to be successful. As per these increasing demands, Science Management is now a vital piece of the environment.

Difficulty level: Beginner
Duration: 18:13
Speaker: : Mojib Javadi

Over the last three decades, neuroimaging research has seen large strides in the scale, diversity, and complexity of studies, the open availability of data and methodological resources, the quality of instrumentation and multimodal studies, and the number of researchers and consortia. The awareness of rigor and reproducibility has increased with the advent of funding mandates, and with the work done by national and international brain initiatives. This session will focus on the question of FAIRness in neuroimaging research touching on each of the FAIR elements through brief vignettes of ongoing research and challenges faced by the community to enact these principles. This lecture covers the NIDM data format within BIDS to make your datasets more searchable, and how to optimize your dataset searches.

Difficulty level: Beginner
Duration: 12:33
Speaker: : David Keator

Over the last three decades, neuroimaging research has seen large strides in the scale, diversity, and complexity of studies, the open availability of data and methodological resources, the quality of instrumentation and multimodal studies, and the number of researchers and consortia. The awareness of rigor and reproducibility has increased with the advent of funding mandates, and with the work done by national and international brain initiatives. This session will focus on the question of FAIRness in neuroimaging research touching on each of the FAIR elements through brief vignettes of ongoing research and challenges faced by the community to enact these principles. This lecture covers positron emission tomography (PET) imaging and the Brain Imaging Data Structure (BIDS), and how they work together within the PET-BIDS standard to make neuroscience more open and FAIR.

Difficulty level: Beginner
Duration: 12:06
Speaker: : Melanie Ganz

The course is an introduction to the field of electrophysiology standards, infrastructure, and initiatives.

 

This lecture contains an overview of electrophysiology data reuse within the EBRAINS ecosystem.

Difficulty level: Beginner
Duration: 15:57
Speaker: : Andrew Davison

The course is an introduction to the field of electrophysiology standards, infrastructure, and initiatives.

 

This lecture contains an overview of the Distributed Archives for Neurophysiology Data Integration (DANDI) archive, its ties to FAIR and open-source, integrations with other programs, and upcoming features.

Difficulty level: Beginner
Duration: 13:34

The course is an introduction to the field of electrophysiology standards, infrastructure, and initiatives. This lecture discusses how to standardize electrophysiology data organization to move towards being more FAIR.

Difficulty level: Beginner
Duration: 15:51

Brought to you by the New Digital Infrastructure Organization.

 

In the past five years, researchers have seen a growing number of research data management (RDM) policies being implemented by funders, publishers, and institutions. One key element in meeting these requirements, particularly in terms of data discovery, is using metadata, which helps make research data findable, accessible, interoperable and reusable (the FAIR principles). This session discussed the secret life of your dataset metadata: the ways in which, for many years to come, it will work non-stop to foster the visibility, reach, and impact of your work. We explored how metadata will help your dataset travel through the global research infrastructure, and how data repositories and discovery services can use this (meta)data to help launch your dataset into the world.

 

Connect with us! Follow us on Twitter at @NDRIO_NOIRN and @PortageRDM_GDR.

 

For more information, visit our website: https://engagedri.ca/

Difficulty level: Beginner
Duration: 59:58
Speaker: :

Brought to you by the Canadian Association of Research Libraries.

 

Data management plans, or DMPs, are one of the foundations of good research data management. This DMP-focused webinar will be of interest to researchers, graduate students, librarians, and research support stakeholders, and will provide foundational information on developing DMPs. Topics covered will include the importance and benefits of DMPs, how they support research excellence, and what makes a ‘good’ DMP, as well as a detailed look at their standard content. Resources to help with the development of DMPs – including bilingual training materials, guidance documents and Exemplar DMPs – will be presented, as well as an update on the activities of the Portage DMP Expert Group, including forthcoming resources. A brief overview of the DMP Assistant platform will be provided, while a second separate session will deliver an in-depth look at the latest version of this platform, including its key features.

 

Speaker: James Doiron, Research Data Management Services Coordinator, University of Alberta Libraries

Difficulty level: Beginner
Duration: 01:01:55
Speaker: :

Brought to you by the Canadian Association of Research Libraries.

 

Data management plans, or DMPs, are one of the foundations of good research data management. Hosted by the University of Alberta Library and supported by the Portage Network, the DMP Assistant is a national, open, bilingual data management planning (DMP) tool to help researchers better manage their data throughout the lifespan of a project. The tool develops a DMP by prompting researchers to answer a number of key data management questions, supported by best-practice guidance and examples. Building on the preceding DMP-focused webinar, this session will be of interest to researchers, graduate students, librarians, and research support stakeholders. Participants will take an in-depth look at the newly launched DMP Assistant 2.0, including all of its enhanced key features for both end-users and institutional administrators, as well as a brief look at the future of the platform.

 

Speaker: Robyn Nicholson, Data Management Planning Coordinator, Portage Network

Difficulty level: Beginner
Duration: 01:03:51
Speaker: :

The Canadian Open Neuroscience Platform (CONP) Portal is a web interface that facilitates open science for the neuroscience community by simplifying global access to and sharing of datasets and tools. The Portal internalizes the typical cycle of a research project, beginning with data acquisition, followed by data processing with published tools, and ultimately the publication of results with a link to the original dataset.

 

In this video, Samir Das and Tristan Glatard give a short overview of the main features of the CONP Portal.

Difficulty level: Beginner
Duration: 14:03
Speaker: :