Data Reviews Online
Data Reviews Online (Dareon) is an application that assists in the process of submission and review of proposals for the inclusion of datasets into a data repository. It helps with the management of Calls for Proposals and the associated proposal review process. In addition, Dareon includes classification schemes to help match Reviewers with appropriate Proposals.
Click on poster image to enlarge
For more information and to access the demo server, visit the website: dareon.org (opens in new tab)
This web application aligns with the principal goal of the Repository Platforms for Research Data (RPRD) Interest Group: “to improve the usability and technical capabilities of repository platforms”. The use-cases that form the basis of Dareon’s functionality address an area not explicitly covered by the IG’s use-case matrix.
The opportunity to present a poster at this RDA Plenary Meeting would benefit both the work of this IG and the Dareon project, through shared use-cases and potential collaborations.
Author: Nicholas May
Date: 30 Mar, 2020
Hi.
We'll be checking on this page every so often.
So, if you'd like to ask a question about Dareon, we'll be happy to clarify or provide more information.
Nick & Ian.
Author: Patricia Herterich
Date: 03 Apr, 2020
Dear Nick and Ian,
this looks interesting, has this been used by you Research Data Grants Program in action and how did that go? This could be an interesting use case for journals, too, to review datasets as part of the paper submission.
Many thanks,
Patricia
Author: Nicholas May
Date: 07 Apr, 2020
Hi Patricia,
The development of the application was started as a student project and continued within the eResearch team at RMIT.
Unfortunately, it was not ready to use during the Research Data Grants Program. However, much of the systems analysis came from what we learned whilst running a manual review process in the program.
At the moment, the functionality is fairly basic. We are hoping that by collaborating with external organizations we can further develop the functionality and make it applicable to a wider set of review processes.
Regards,
Nick.