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What is a Digital Object Identifier (DOI)?

A unique Digital Object Identifier (DOI) attached to a digital research output and associated metadata ensures the output is persistently findable on the internet.  DOIs ensure accurate data citation and bibliometrics for reporting impact.  

Accessible research outputs with a DOI in the Open Access Repository (OAR) attract altmetrics which measure online mentions and shares.

There are two DOI services

• DataCite DOI service for datasets and unpublished 'grey" outputs that meet the DataCite DOI minting criteria  
  • Data Cite DOIs are minted by UTAS Library via the ARDC DataCite DOI service 
• Crossref DOI service for 'traditional' published outputs. 
  • Crossref DOIs are minted by the publisher.

UTAS Library DataCite DOI minting service 

To be eligible for a DataCite DOI, research datasets and unpublished grey literature (including ERA reportable NTROs) must:

• meet the DataCite DOI minting criteria and,
• be publicly accessible in a University repository (Open Access Repository (OAR), UTAS Research Data Portal (RDP) and IMAS Data Portal.

For more information contact UTAS Library DataCite DOI service, email: oa.respository@utas.edu.au

DataCite DOI minting criteria

Eligibility for a DOI is based on meeting the following minting criteria.

Research outputs that can be assigned a DataCite DOI

• Research datasets and collections, associated workflows, software and models
• Grey literature such as theses, reports, unpublished conference papers, newsletters, creative works, preprint journal articles, technical standards and specifications for which the institutional repository is the primary publication point
• Other resource types that are in scope for DataCite.

UTAS research outputs automatically assigned a DataCite DOI

• Datasets - open or mediated datasets accessible in the University Research Data Portal (RDP)
• ERA eligible Non-Traditional Research Outputs (NTROs)  - deposited via WARP and made open in the University Open Access Repository (OAR) following copyright assessment.

Opt-in DataCite DOI for theses & University Open Access Repository (OAR) deposits

Theses 

• Higher Degree Research can opt-in for a DOI when filling in their Thesis/ Exegisis Access Form.  See Graduate Research Examination Process page for full information.  A DOI will only be minted for publicly accessible theses or following the lifting of an embargo.
• First class Honours and Coursework Masters graduates can request a DOI when they submit their thesis and  the Honours and Coursework Masters Thesis Access form by email to: oa.repository@utas.edu.au 

Grey literature self-deposited in OAR

•  "Request a DOI" in the Comments and Suggestions field under Core Bibliographic Information  of the Item Control Page.  See OAR user deposit guide for more information.
• The Open Access Repository team will mint and add the DOI to the record during the Item Review stage.
• Please allow up to 3-5 business days for your DOI request to be processed.

Note: Before you request a DOI for self-deposited unpublished literature, consider how this output fits into your overall publishing strategy.  If you intend to submit a paper with any of this content to a reputable journal publisher in future, you need to be careful to avoid jeopardising your chance of having it accepted by putting it in an open access repository too soon. For more information, and expert advice, please contact Learning and Research Librarians.

DataCite DOIs for UTAS research datasets

UTAS Library DataCite DOI service manages DataCite DOIs for UTAS datasets that meet the DataCite DOI minting criteria 

How to get a DataCite DOI 

• Openly accessible datasets published in the University Research Data Portal - mint a DOI using the automated DOI minting function
• Restricted access datasets published in the University Research Data Portal - request a DOI by emailing Research.Data@utas.edu.au
• Open and mediated datasets accessible on an external platform - request a DOI by emailing Research.Data@utas.edu.au
• IMAS research datasets contact IMAS.DataManager@utas.edu.au

See DOIs for Datasets in the Research Data Management research guide for more information.