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Add Classifications to a Paper

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Classifications are not only for SSRN's eJournals, but how we organize papers in our eLibrary. If a classification is approved, the paper will appear on the eJournal page which lists all papers in that classification on SSRN. The paper will be eligible for distribution in that eJournal (subject to editor preference and SSRN distribution policy). Each submission can have up to 12 classifications selected. 

Adding A Classification: (If you are creating an initial submission and are already on the submission form, skip to Step 4 below.)

1. Make sure you are signed in to your SSRN account. 

2. Go to your My Papers page.

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3. Click "Revise" next to the submission you want to update.

 photo revise_zpshnvt3ykq.png

 photo ClassifysearchbrowseRed_zpsv5vz1lai.png

 

4. Once on the submission form, click the "eJournal Classifications" field to expand it. (A pre-existing submission will show a list of classifications that were previously added to the submission.)

5. There are two ways to add a classification:

  • Type the name (or related keywords) of the classification/eJournal into the search field and select it from the drop-down menu.
  • Click the "+" to expand the browse tree and find relevant classifications/eJournals within our Networks. Check the box beside the classification/eJournal to select it.
  • You can also select the radio button "Have SSRN select the Classifications for this paper." and SSRN will add the classifications to your submission for you.

6. Once you have added the classification(s), click "save."

7. Make any additional changes and click "Submit Revision" (or "Submit to SSRN" for new submissions).

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For information about the complete submission process, click here. 

Feel free to contact us at Support@ssrn.com if you have questions or concerns about classifications or anything else on the site.

Visit our FAQ page for general information about SSRN.

 
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Article details
Article ID: 62
Category: Your Papers
Date added: 2015-04-28 17:46:44
Views: 1301
Rating (Votes): Article rated 3.0/5.0 (4)

 
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