Data and Tools Integration in the Canadian Open Neuroscience Platform.
Jean-Baptiste Poline, Samir Das, Tristan Glatard, Cécile Madjar, Erin W Dickie, Xavier Lecours, Thomas Beaudry, Natacha Beck, Brendan Behan, Shawn T Brown, David Bujold, Michael Beauvais, Bryan Caron, Candice Czech, Moyez Dharsee
April 2023 Sci DataSynopsis 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.
Agreement
Moderate agreementMost posts appear supportive or neutral about the publication, recognizing its role in advancing neuroscience data sharing.
Interest
Moderate level of interestDiscussions show moderate interest, with mentions of the platform's features and potential benefits, rather than deep dives into technical details.
Engagement
Moderate level of engagementThe posts reference the portal, datasets, and tools, indicating some engagement, but mostly in a straightforward manner without extensive analysis.
Impact
Moderate level of impactThe publication seems to be viewed as a meaningful contribution to open neuroscience collaborations, though not explicitly described as revolutionary.
Social Mentions
YouTube
1 Videos
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
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.
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Data and Tools Integration in the Canadian Open Neuroscience Platform null https://t.co/Wy6yi8Ei00 #DTHSTR
view full postApril 7, 2023
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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 postFebruary 19, 2022
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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 postFebruary 18, 2022
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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 postFebruary 18, 2022
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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 postFebruary 18, 2022
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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 postFebruary 18, 2022
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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 postFebruary 18, 2022
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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.]
DTHSTR
@CDADeathStar (Twitter)