Cultural research = notoriously underfunded, so although they have and rely on a relational database that holds their data (previously Postgres) the cost and effort associated with maintaining and extending the system is pretty high.
With the new setup the thousands of eno files represent both the place of storage and the interface to edit the data, so by that we eliminated the development effort to provide and maintain a full web frontend to the database, and the effort to just maintain the actively deployed technology somewhere and keep it at least patched for security reasons.
All that remains now technology wise is an Atom plugin that is locally installed on each client at the institute and takes care of validating, provides relational autocomplete helpers as demonstrated in [4] and offers a few hooks to kick off local builds for multiple deployment targets and deploy them to live as well.
Cultural research = notoriously underfunded, so although they have and rely on a relational database that holds their data (previously Postgres) the cost and effort associated with maintaining and extending the system is pretty high.
With the new setup the thousands of eno files represent both the place of storage and the interface to edit the data, so by that we eliminated the development effort to provide and maintain a full web frontend to the database, and the effort to just maintain the actively deployed technology somewhere and keep it at least patched for security reasons.
All that remains now technology wise is an Atom plugin that is locally installed on each client at the institute and takes care of validating, provides relational autocomplete helpers as demonstrated in [4] and offers a few hooks to kick off local builds for multiple deployment targets and deploy them to live as well.
Hope this clarifies things! :)