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For different purposes we want to index the contents of the resource file which exists behind a DOI, this applies to doc/pdf/html reports, not datasets or software:
Full text search optimalisation
Input for the chatbot
Knowledge/context extraction using NLP to augment metadata
In theory you can resolve the DOI to arrive at the resource. However in many cases the DOI resolves to a metadata page, which has one or many links to download the resource.
For different purposes we want to index the contents of the resource file which exists behind a DOI, this applies to doc/pdf/html reports, not datasets or software:
In theory you can resolve the DOI to arrive at the resource. However in many cases the DOI resolves to a metadata page, which has one or many links to download the resource.
Results of the harvest are stored on a table:
Task first retrieves all identifiers for which no content exists yet and no error occured
If a resource consists of multiple files, zip the files to an archive and use mimetype application/zip
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