Schema diagrams

The complete schema of a fully-populated database appears below. Opening the image in a separate window will allow you to zoom it.

Complete data schema

In addition, direct SQL queries can be performed on each data source’s tables. Queries involving multiple scans of the tables (e.g. relational joins) should be performed by directing alexandria3k to perform them separately in each partition. This however means that aggregation operations will not work as expected, because they will be run multiple times (once for every partition).

Crossref data

Crossref data concern published works, identified through their DOI.

Crossref data schema

DataCite data

DataCite data concern published data, identified through their DOI.

DataCite data schema

ORCID data

ORCID data concern work authors, identified through their ORCID.

ORCID data schema

PubMed data

PubMed data concern citations from the biomedical literature also identified through their DOI,

PubMed data schema

ROR data

ROR data concern research organizations, identified through their DOI.

ROR data schema

USPTO data

USPTO data are the metadata of US Patent Office granted patents.

USPTO data schema

Other data

Other data include journal names, subjects (ASJCS), funders, and open access journals, as well as join tables created through available processing steps.

Other data schema