As part of the Open Citations project, we have been asked to review and improve the process of importing data into the Open Citations Corpus, taking the scripts from the initial project as our starting point. The current import procedure evolved from several disconnected processes and requires running multiple command line scripts and transforming the data into different intermediate formats.

As part of our work on the Open Citations extensions project, I have recently been doing one of my favourite things – namely indexing large quantities of data then exploring it. On this project we are interested in the PubMed Central Open Access subset, and more specifically, we are interested in what we can do with the citation data contained within the records that are in that subset – because, as they are open access, that citation data is

Following the decision to merge the planned development of the Open Citations Corpus with the Related Work Project, described in the previous blog post, we proposed to develop one underlying data store, one data model and one RDF representation.

Quick note on an experimental version of BioStor that is (mostly) hosted in the cloud. BioStor currently runs on a Mac Mini and uses MySQL as the database. For a number of reasons (it's running on a Mac Mini and my knowledge of optimising MySQL is limited) BioStor is struggling a bit. It's also gathered a lot of cruff as I've worked on ways to map article citations to the rather messy metadata in BHL.