Synopsis of Social media discussions

The discussions highlight features like the portal’s decentralization and integration of datasets, mentioning the CONP Portal as a key resource and emphasizing its role in collaborative neuroscience. The tone is neutral to positive, with phrases such as 'learn more' and references to the publication's acceptance, indicating a recognition of its importance without highly emotional language.

A
Agreement
Moderate agreement

Most posts appear supportive or neutral about the publication, recognizing its role in advancing neuroscience data sharing.

I
Interest
Moderate level of interest

Discussions show moderate interest, with mentions of the platform's features and potential benefits, rather than deep dives into technical details.

E
Engagement
Moderate level of engagement

The posts reference the portal, datasets, and tools, indicating some engagement, but mostly in a straightforward manner without extensive analysis.

I
Impact
Moderate level of impact

The publication seems to be viewed as a meaningful contribution to open neuroscience collaborations, though not explicitly described as revolutionary.

Social Mentions

YouTube

1 Videos

Twitter

7 Posts

Metrics

Video Views

17

Total Likes

9

Extended Reach

10,087

Social Features

8

Timeline: Posts about article

Top Social Media Posts

Posts referencing the article

Canadian Neuroscience Data Platform Integrates Tools and Datasets Seamlessly

Canadian Neuroscience Data Platform Integrates Tools and Datasets Seamlessly

The Canadian Open Neuroscience Platform (CONP) facilitates flexible data sharing and search tools for neuroscience research, integrating datasets from multiple sources using DataLad for data integrity. It hosts over 60 datasets and 70 tools across Canadian institutions.

July 20, 2023

17 views


  • DTHSTR
    @CDADeathStar (Twitter)

    Data and Tools Integration in the Canadian Open Neuroscience Platform null https://t.co/Wy6yi8Ei00 #DTHSTR
    view full post

    April 7, 2023

  • MCIN Community
    @MCINation (Twitter)

    RT @NeuroLibre: Data and Tools Integration in the Canadian Open Neuroscience Platform" – Learn more on CONP Portal, a decentralized reposit…
    view full post

    February 19, 2022

    5

  • Tristan Glatard
    @TristanGlatard (Twitter)

    RT @NeuroLibre: Data and Tools Integration in the Canadian Open Neuroscience Platform" – Learn more on CONP Portal, a decentralized reposit…
    view full post

    February 18, 2022

    5

  • Martin Delahunty
    @MDDelahunty (Twitter)

    RT @NeuroLibre: Data and Tools Integration in the Canadian Open Neuroscience Platform" – Learn more on CONP Portal, a decentralized reposit…
    view full post

    February 18, 2022

    5

  • Dr. Malin Sandström / @msandstr@fediscience.org
    @msandstr (Twitter)

    RT @NeuroLibre: Data and Tools Integration in the Canadian Open Neuroscience Platform" – Learn more on CONP Portal, a decentralized reposit…
    view full post

    February 18, 2022

    5

  • OpenSci Talk
    @OpenSciTalk (Twitter)

    RT @NeuroLibre: Data and Tools Integration in the Canadian Open Neuroscience Platform" – Learn more on CONP Portal, a decentralized reposit…
    view full post

    February 18, 2022

    5

  • CONP / PCNO
    @CONP_PCNO (Twitter)

    Data and Tools Integration in the Canadian Open Neuroscience Platform" – Learn more on CONP Portal, a decentralized repository of #openscience tools & datasets, in preprint by Poline, Das, Glatard & colleagues, accepted for publication in @ScientificData : https://t.co/gV0ijBs1ht
    view full post

    February 18, 2022

    9

    5

Abstract Synopsis

  • The Canadian Open Neuroscience Platform (CONP) is a portal designed to facilitate flexible data sharing and advanced search tools for the neuroscience research community, integrating datasets from multiple existing platforms using DataLad for data integrity.
  • The portal serves as a centralized access point for a variety of standardized and containerized software, while also providing links to computing infrastructure, all built on community standards to promote reuse and collaboration.
  • It already comprises over 60 datasets and 70 tools, demonstrating a successful distributed system across 17 Canadian institutions, showcasing a scalable model for data and tool management in neuroscience research.]