Python user API

Data sources

The alexandria3k data sources can be used to populate an SQLite database or to run SQL queries directly on their data. All are available through the classes documented below.

Contents:

• Scopus Subject Areas and All Science Journal Classification Codes (ASJC) data
  • Generated schema
• Crossref publication data
  • Generated schema
• DataCite publication data
  • Generated schema
• Directory of Open Access Journals
  • Generated schema
• Crossref funder names
  • Generated schema
• ISSN Subject Codes data processing
  • Generated schema
• Crossref journal names
  • Generated schema
• Open Researcher and Contributor ID (ORCID) data
  • Generated schema
• PubMed publication data
  • Generated schema
• Research Organization Registry (ROR) data
  • Generated schema
• Patent grant bibliographic (front page) text data (JAN 1976 - present)
  • Generated schema

Data processing operations

The alexandria3k data processing modules operate on previously populated SQLite databases. They process existing elements and generate new tables performing tasks such as normalization and disambiguation. All are available through the modules documented below.

Contents:

• Link author affiliation with lowest-level research organization
  • Generated schema
• Link author affiliation with top-level research organization
  • Generated schema
• Link USPTO non-patent literature citations with their DOI
  • Generated schema
• Link works with their ASJC subject codes
  • Generated schema