Data Sharing and Analysis in Collaborative Open Research Environments

We are very excited to announce the next topic of the ICOR public meeting which will explore data sharing and analysis using collaborative open research environments. Be sure to join us on May 1st, 11:30am-13:00pm EDT for a discussion with some of the leaders in this exciting and growing space. Here you can find the meeting’s public agenda and how to register.

Maximising data through collaborative ‘hubs’

Sharing data is typically done as part of the publication process and is more a necessity than an innate practice that starts from the point of creation. Sharing data at the end of a project nullifies the chance to get expert feedback and analysis on data as it is produced and prohibits collaboration and interoperability that could maximise the utility of the data, which begs the question: “Is data sharing and analysis more effective at the data collection stage of the research lifecycle?” 

What if there was a drive and incentive to use end-to-end digital first workflows, data commons and collaborative research environments to enable data sharing and analysis as and when research is being conducted. An environment where data is properly curated with embedded metadata in collaborative hubs that make it easy to merge, synthesise and analyse data in a centralised shared space. 

This ICOR meeting will explore some leading community initiatives that are facilitating and thriving in innovative data sharing and collaborative environments and are helping create a blueprint for how the next generation of open research practices could evolve.

Our three presentations have expert speakers who will provide their thoughts and showcase real world implementations that demonstrate how collaborating in the right environment enables more discussion, collaboration and utility of research data.

Infrastructure for interactive computing

Chris Holdgraf and Jim Colliander from 2i2c who will talk about cloud-based data sharing environments with an ecosystem of tools that enable researchers to compare, combine and even mine data for new findings in supportive dedicated hubs that are designed with collaboration in mind.

Data commons infrastructure

Aarti Venkat and Michael Fitzsimons from the Center for Translational Data Science at the University of Chicago who will talk to us about cloud-based data commons platforms that allow communities to manage, analyse and share big data, with a focus on their own Gen3 technology that already supports many thriving data commons initiatives.

Collaborative Science – co-projects 

Vincent Chan who will discuss the ImmunoX initiative that leverages collaborative research spaces and CoProjects designed to integrate the UCSF Immunology community through shared access to cutting-edge technologies, consolidated infrastructure, common pipelines and data curation.

Join us for what is sure to be a great session on May 1st, 11:30am-13:00pm EDT by registering here. And please do keep adding your ideas for meeting topics for the ICOR public meetings through this Google Form. 

Feature photo by Marvin Meyer on Unsplash