The ideas expressed are:
-options to store data are:
-
GIT LFS:
https://git-lfs.github.com/
“Git Large File Storage (LFS) replaces large files such as audio samples, videos, datasets, and graphics with text pointers inside Git, while storing the file contents on a remote server like GitHub.com or GitHub Enterprise.” -
Zenodo:
https://zenodo.org/
"Zenodo is a research data repository. It was created by OpenAIRE and CERN to provide a place for researchers to deposit datasets.[1] It launched in 2013, allowing researchers in any subject area to upload files up to 50 GB.[2]
Zenodo has integration with GitHub to make code hosted in GitHub citable. Zenodo is a research data repository. It was created by OpenAIRE and CERN to provide a place for researchers to deposit datasets. It launched in 2013, allowing researchers in any subject area to upload files up to 50 GB.
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Open Energy Platform: you can store data here and document it using the factsheets with the possibility to add metada. The scenario factsheet documents the assumptions used to generate the data. The model used can also be documented using the model factsheet.
http://oep.iks.cs.ovgu.de/ -
re3data.org:
‘The Registry of Research Data Repositories (re3data.org) is an Open Science tool that offers researchers, funding organizations, libraries and publishers an overview of existing international repositories for research data.’
some information is also mentioned here:
https://wiki.openmod-initiative.org/wiki/Data#Data_sharing_techniques
but maybe it should be edited with the results of this discussion.
Best practices for open data publishing:
-
http://frictionlessdata.io
"Frictionless Data is about removing the friction in working with data. We are doing this by developing a set of tools, standards, and best practices for publishing data. The heart of Frictionless Data is the Data Package standard, a containerization format for any kind of data based on existing practices for publishing open-source software."