AI continues to grow in scope and power, and it's important to protect your documents from AI models that can search and use your information via Text and Data Mining (TDM). This article details how to add machine-readable language to PDFs that can clarify to TDM users that rights are reserved for PDF content, inform TDM users on the legal process for accessing and using the content of PDFs (including rights clearance and compensation where required), or make documents opt-out entirely from having machines search their content.
This can be done with the TDM Reservation Protocol (TDMRep) to define an “opt-out” mechanism for text and data mining (TDM). It determines whether specific content is permitted to be searched or mined for TDM purposes, and how the rights holders can be contacted to obtain a license for such use. You can view the most recent version of the TDM here.
TDMRep’s rights reservation model has two properties:
PDF authors can add these properties to the XMP metadata of PDFs to indicate a reservation of rights, and to provide a pathway for obtaining a license for text and data mining (TDM) access.
TDM policies are in JSON-LD (JSON for Linked Data) format and use standard terminology from ODRL (Open Digital Rights Language), a proposed language for the standardization of digital rights management.
The required properties for the JSON structure are detailed below:
There are two methods that can be used to add TDM Reservation protocols with PDF-XChange Editor:
The second method is intended for use in cases where you need to apply a TDM Reservation protocol to multiple documents. This can be done using a metadata template:
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