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SURF is offering this as a service called Research Cloud. It links up to a SURF Research Drive and SURF HPC Cloud and allows you to collaborate with researchers accross different institutions. The service itself is free, but using the underlying computing and storage infrastructure is not. |
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This just popped up on my radar: https://2i2c.org/infrastructure/. |
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I also came accross the 2i2c documentation on getting started with their hubs. |
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Following up on this subject of Digital Research Environments : I have been reading a bit about Gitlab capabilities, particularly how it can integrate with Kubernetes. Why is this relevant?
The 4 points touch more on integrations and secure infrastructure to support researchers than just computational environments. These are my opinions from the limited research I have been able to make, feedback from more experienced colleagues is more than welcome to contrast these opinions :) |
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Common issues related to Research Software and Data workflows and computational environments
During the two rounds of DCC support I have seen some patterns of needs within research groups that range from data archiving to collaboration, environment management, infrastructural needs such as setting up servers and applications within the servers, and so on.
The most simple use case is setting up jupyter notebook environments to teach coding, the most advanced use cases may involve connecting environments or servers to storage solutions, but also doing continuous integrations and pipelines that connect research data produced in these environments with archives like Zenodo or 4TU. Setting up all these is extremely consuming, requires a lot of experience, and doesn't ensure that a full FAIR workflow is implemented.
The value proposition of DREs
An Infrastructure as a service that allows research groups to create workspaces. Such workspaces are secure cloud enviornments connected on demand to all kinds of services that include version control, package installations, connection to computing resources as well as storage solutions. Very similar to what Serkan did at Twente and the crib platform: https://crib.utwente.nl/
Here are some quotes of definitions from DREs provides I have found:
Observations and takeaways
Customized cloud based environments managed by research groups or labs can be more organic than one solution fits all. For instance a Lab hosting their own git management system where they invite external collaborators is more flexible than inviting external collaborators to TU delft gitlab instance. (Research projects and domains dont have boundaries, they are cross institutional so the solutions should consider these aspects).
Research Workspaces or environmets as a concept can be more suitable to address researchers needs than just providing virtual machines or servers. In the end the whole point is that these servers are used to setup such workspaces.
What do you think about DREs as a concept? Any ideas, experiences, comments?
References
[1]“8. AnDREa demo (Ralph van der Hoorn - Radboudumc.pdf.” Accessed: Jun. 01, 2021. [Online]. Available: https://www.surf.nl/files/2019-06/8.%20AnDREa%20demo%20%28Ralph%20van%20der%20Hoorn%20-%20Radboudumc.pdf
[2]“Digital Research Environment | Trusted Data Sharing Network | Digital Research Environment.” https://www.aridhia.com/digital-research-environment/ (accessed Jun. 01, 2021).
[3]“DRE Portal.” https://mydre.org/ (accessed Jun. 01, 2021).
[4]“Geospatial Computing Portal.” https://crib.utwente.nl/ (accessed Jun. 01, 2021).
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