Websites/Services
In order to support the DataLad community in diverse ways and to create infrastructure to support DataLad’s many functionalities, the project provides a number of websites and services.
In order to support the DataLad community in diverse ways and to create infrastructure to support DataLad’s many functionalities, the project provides a number of websites and services.
https://blog.datalad.org/ is a blog on data management and DataLad that acts as a forum for people to share developments in the community. It is generated from a DataLad dataset with Hugo.
https://concepts.datalad.org/ (datalad-concepts) is a toolkit of standardized schemas/vocabulary for implementing metadata-driven workflows. It is built with Material for MkDocs.
https://datasets.datalad.org/ is a repository of public datasets provided by the DataLad project.
https://docs.datalad.org/ is the entrypoint for the documentation of individual software packages, hosted on the Read the Docs platform.
https://handbook.datalad.org/ is the Datalad Handbook, which is hosted on the Read the Docs platform.
https://hub.datalad.org/ is a self-hosted Forgejo-Aneksajo instance that serves as a collaboration platform DataLad repositories and projects.
https://project.datalad.org/ serves as the DataLad project documentation. Rather than providing technical documentation for datalad, the software, this site provides metadocumentation for DataLad, the project.
https://registry.datalad.org/ is the DataLad Registry, a publicly available service for
discovering online DataLad datasets and Git repositories DataLad has operated on (via
the datalad run command). It includes datasets on datasets.datalad.org,
as well as those discoverable on other platforms, such as GitHub and
GIN. More details are available on blog.datalad.org.
https://store.datalad.org is a remote indexed archive (RIA) store hosting DataLad datasets. It gives access to the Human Connectome Project (HCP) Open Data Access dataset ( now stored on hub.datalad.org at https://hub.datalad.org/hcp-openaccess ), in addition to several other DataLad superdatasets on GitHub. The DataLad Handbook provides more information on RIA stores and a use case on implementing scalable data stores.
https://www.datalad.org/ is the main DataLad website. It is built using Pelican.