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Participation Report - Text Mining URLs

Hi everyone!

I’m having troubles to improve the score of Text Mining URLs at Participation Report.

I understand that I have to deposit the Full Text URLs and I have been doing it via Metadata Manager, however, my score is still 0% :frowning:

What am I possibly doing wrong?

Hi @BrunaErlandsson,

Thanks for this message. I’d like to look into the specifics here. Do you have an example DOI or two you can share with me so I can investigate?

Best,
Isaac

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Yes, sure!

Check this journal named ESTIMA, for example (https://www.revistaestima.com.br).

I’ve been depositing their DOIs with Metadata Manager this year, so any DOI for the current year can be used as an example…

Here is one: https://doi.org/10.30886/estima.v16.666_PT

Let me know if I can help with more details!

Hi Bruna,

Thanks for this example. I’m investigating. I should have an update for you later today.

-Isaac

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Hi @BrunaErlandsson,

It looks like the tdm URLs that you are including in your Metadata Manager submissions are in the metadata record for that example DOI 10.30886/estima.v16.666_PT, as you can see here: http://api.crossref.org/works/10.30886/estima.v16.666_PT.xml

<ai:license_ref applies_to="tdm" start_date="2019-04-22">

https://www.revistaestima.com.br/index.php/estima/about/editorialPolicies#custom-0

</ai:license_ref> 

That’s good news! Now, I’ll need to check to see why this isn’t being updated in your Participation Reports. More investigations for next week.

Apologies for the slow turnaround on this one,
Isaac

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Hi @BrunaErlandsson. I haven’t forgotten about your request. My investigation here is just taking longer than I expected. I hope to have a definitive answer for you very soon.

-Isaac

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Hello again, Bruna,

What you have included in Metadata Manager is the URL where users can retrieve the license that pertains to the text and data mining. The “Text Mining URLs” section of our Participation Reports measure something related, but a little different - the full text URLs where that text and data can be mined. You can find more about the difference between the two and instructions on how to provide the full text mining URLs via XML here: https://support.crossref.org/hc/en-us/articles/214298866-Full-Text-URIs-Technical-Details

To support text and data mining, publishers need to update their metadata to include full text URI(s) for each piece of content with a DOI. Anybody using the CrossRef Metadata API to query a CrossRef DOI will be able to retrieve these URLs and follow them directly to the full text. Publishers who want to be able to support multiple “representations” of the full text of the article will be able to do so. So, for instance, they could support the delivery of either PDF, XML or HTML, or just one of these formats.

Included in that link I provided are two XML sample files which you can follow to submit your full text mining URLs.

Please let me know how I can help,
Isaac

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@ifarley, thank you for dedicating your time to this.

I will also have to dedicate some time to understand it fully and then I let you know if I didn’t understand any details :slight_smile:

Thanks, thanks!

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Yes, please let me know if you have questions. We’re always happy to help!

-Isaac