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Author CollaborationsAuthor Collaborations

Author Collaborations is a Master data content type, and is used to capture the output of large author collaborations (also called hyper authorship) (as seen in scientific domains such as high energy physics and biomedicine). 

Author collaboration on Datasets is only available from Pure 5.33.0

 

Author collaborations overview

  • Author collaborations are available on Research outputs and Datasets.
  • Pure will calculate the total number of authors and store and display this.
  • For all Research outputs and Datasets with an affiliated Author collaboration, where the total number of authors is over 50, Pure will delete affiliated External authors and External Organizations beyond the first 50 authors - ALL Internal authors and Organizational units are retained
  • When importing a Research output or Dataset that has an author collaboration, or adding an author collaboration manually, all authors are set to hidden. 
    • This behaviour is by design. When an author collaboration is present, then all other authors will be set as hidden.
    • The results is that all citation formats only include the author collaboration name and no author names.
    • Should it be wished to add one or more author names it must be done manually for each.
    • This dynamic in hiding/showing exist to be able to mirror the correct contributor list as defined by the publisher/in the source content.
      • It can be author collaboration only
      • A mix of author collaboration and corresponding author
      • A mix of author collaboration, corresponding author or any other authors.
    • If an author collaboration is removed, then the all authors should be listed as contributors (visible) again and then they should be in the citation formats.
  • A generic author collaboration entity ("Generic collaboration") serves as a placeholder if there is no known author collaboration. 
  • Author collaborations are available for reporting purposes.
  • Author collaborations will be shown on the Pure Portal. 

Author Collaboration data model

Model details

The Author Collaboration data model includes the following fields:

  • Name
  • Name variants
  • Associated IDs
  • External organizations

It is important to add as many Associated IDs as are available for all sources (e.g. Scopus Collaboration ID). This helps to ensure accurate matching during the Research Output import process.

Notes:

  • It is currently only possible to add External organization to Author Collaborations. Internal Organizational units can be affiliated with Author Collaborations via the Research Output records themselves, using the standard author affiliation functionality.
  • The Author Collaboration data model does not include Persons. In designing the data model, it was felt that it would be difficult to maintain accurate membership records, and would significantly increase your burden in attempting to do so. For most major collaborations, author membership in the collaboration is maintained by the organization itself. For example, the CERN ATLAS Authorship Committee maintains the membership list of the ATLAS experiment.

The Research Output and Dataset editor has a  Add author collaboration button. A Total number of authors field is automatically populated when content is sourced from on-line sources (e.g. Scopus, WoS).

Details on maintaining Author Collaborations, and creating records with Author Collaborations both manually and using import sources are available in the following sub-sections.

Create and maintain Author Collaborations

Maintenance: Administrator of Author Collaborations 

A dedicated role: Administrator of Author Collaborations can assigned any User who need maintain Author collaborations

Below is illustrated the two tasks:

  • Check metadata, using the workflow to push to Approved (if workflow is enabled)
  • Check and merge any duplicates

Creating Author Collaborations  

Importing from online sources functionality captures Author Collaboration details. With each tool for creating Research Output and Datasets records, Author Collaborations can be captured:

Manual import: automatic assignment

When Research output or Dataset is imported from an online source (e.g. Scopus or Web of Science) Pure will first try to determine whether there is a recognized author collaboration, either:

  • as a specific author collaboration field/element as defined by the external source, or
  • as an author, where the author ID corresponds to one of the author collaboration IDs specified for the specific import source in the Author Collaboration records in Pure
Scenario
 

When an Author Collaboration is provided by the external source and a match is found in Pure, the user is presented with the suggested match(es).

If more than one match is found, the user can choose which, if any, of the suggested matches is the correct author collaboration.

When an Author Collaboration is provided by the external source but no match is found in Pure, upon import, a new Author Collaboration will be created (much the same as with External persons).
When no Author Collaboration is provided by the external source, but the record has more than 50 listed authors, Pure flags this up as a potential 'hyperauthored' output and provides the user with the opportunity to affiliate the output to an existing Author Collaboration or create a new one.

Below the Author Collaboration matches, the user is presented with the Author matches. A minimum of 50 authors will be automatically imported, including all internal authors and as many external authors and their associated organizations, in the order that they are included on the record, until a total of 50 is reached.

Where the number of internal authors exceeds 50, no external authors will be imported.

 
 

PRS import: Automatic assignment

The Author Collaboration matching behavior is as described above, except that:

  • if the Author Collaboration is matched the result of a match is automatically imported without the external authors or organizations
  • if the Author Collaboration is not matched it will be imported with all internal and external authors and organizations included
 
 

Manual input

It is also possible to manually affiliate an Author Collaboration with a Research Output and Datsets, using the Add author collaboration button. As with other content (e.g. External organizations), the user can search for an existing Author Collaboration or create a new one.

A task will go out to the Administrator of Author Collaborations, in case workflow is enabled, for them to approve (or merge, in case of duplicates).

 
 

 

 

Published at May 16, 2025

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Table of Contents
  1. Author collaborations overview
  2. Author Collaboration data model
  3. Create and maintain Author Collaborations
  4. Maintenance: Administrator of Author Collaborations
  5. Creating Author Collaborations
  6. Manual import: automatic assignment
  7. PRS import: Automatic assignment
  8. Manual input
Related Articles
  • Corresponding Author Tags & Author Collaboration Placement in Listing
  • Total Number of Authors, How Does This Work?
  • 5.11.0
Keywords
  • author collaborations
  • 5.11.0
  • 5.17.1-1
  • administrator of author collaborations
  • group author
  • hyper authorship

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