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Implementation of research output integration in RMS

Implementation of research output integration in RMS

ARC Research Outputs diagram

In October 2018, the ARC introduced new functionality within the Research Management System (RMS) to allow researchers to auto-populate their research output data into their RMS profile and application forms. Auto-population is possible using several methods, including ORCID, BibTeX and Digital Object Identifier (DOI), or by manual entry.

While an initial investment of effort is required to set up and collate each researcher’s research outputs using the new functionality, once completed, this information is stored in RMS for re-use in future grant application rounds. 

The ARC greatly appreciates the efforts of the sector in adapting to this new functionality. Overall, the uptake by the sector has been very positive, with 11,670 researchers uploading 1,331,803 research outputs into their user profiles, with 95% automatically uploaded from ORCID, BibTeX or DOI. 

The following diagram displays the breakdown of research outputs that have been captured in early June 2019 in RMS. 

ARC Research Outputs diagram
The ARC acknowledges that there were some unexpected technical issues that affected researchers and institutions, when the functionality was first released. We understand the inconvenience that these issues caused and worked hard to resolve the most urgent of them.

The ARC continues to receive valuable constructive feedback on how to further improve the research output upload functionality and display, including improving the accuracy of the data being pulled from third party sources such as ORCID or BibTeX, categorisation of the research output types, and the ability to handle special characters and LaTeX rendering. 

We are currently reviewing the feedback to determine what improvements to implement for future scheme rounds. Additionally, we are investigating how the new functionality can be integrated throughout other elements of the grant management life cycle. 

We are committed to continuing to improve our processes, reduce the burden for users and increase the quality of researcher data in applications—if you have further feedback about this functionality, we encourage you to email

For more information about auto-population of research outputs in RMS, please visit the ARC website

Image: ARC Research Outputs diagram. Credit: ARC.

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