Implementing CrossRef Text and Data Mining Services

Basic steps

1. Deposit additional metadata for the content you want to enable for Text and Data Mining. This metadata consists of:
   • Full-text links in the metadata for each DOI so researchers can follow it to get the full-text at the URI stated
   • A license URI in the metadata for each DOI so researchers can use this to find out if they have permission to text and data mine the piece of content
     Nb. You can upload this information to CrossRef via a Resource Only Deposit or by uploading a .csv file containing the URI links and the related DOIs. Note that the .csv upload criteria have been updated in Jan 2015 to allow publishers to deposit different full text mime types.
2. Publishers who are concerned about the impact of automated text and data mining harvesters on their site performance may optionally want to implement Standard Rate Limiting Headers. Information is available in Text and Data Mining for Publishers