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This case study should be helpful to anyone interested in setting up an XNAT as a way of securely archiving, accessing and using imaging research data -- "a PACS for researchers." We spoke with Adam Harding from the University of Iowa on Friday, July 15, 2011.
(As a preface, it should be noted that the decision to try XNAT was made before Adam joined the team; however, that process was slow-going and not very well invested before Adam took it over.)
This instance of XNAT at the University of Iowa was set to be a "research PACS" for the many researchers and investigators at Iowa's Institute of Clinical Translation Services (ICTS). Unlike the XNAT that supports the PREDICT-HD project, this XNAT is not centrally managed to be a single canonical source of data, or to support a single data workflow, but to provide a set of widely available research tools & services. Users immediately see value in having an easy and portable way of establishing a secure means of accessing data, using the XNAT web application.
Installation was a several month process, playing with the configuration and testing with users, and waiting for security fixes before going live. Currently, this XNAT contains a mix of active data with archival data that is seen to have future use. "Everyone sees it as an archival system.... Long term storage." At this point, the goal of this XNAT is to "get people's data in, make sure we can accommodate it, and make sure they can access it."
Down the road, other use cases will emerge. For example, there are plans to create and customize an XNAT for ophthalmology research, as a stand-alone instance (but linked to same storage).
There are very disparate levels of ability & knowledge & code savvy among users. A lot of python-savvy people are excited about using XNAT as a platform to fuel their research. However, most users are researchers attempting to use the web interface to browse through their data. (Mark Scully helped researchers upload all their old data into XNAT, having just done the same thing for the PREDICT-HD project.)
Uploaders: MRI techs send five sessions per day every day. However, this data is still stored in DICOM PACS for "query retrieve" purposes. There is also interest in some of the DICOM functionality provided by XNAT Gateway.
The user-management model is 180 degrees from the PREDICT-HD XNAT. That project is managed as a "monarchy" - can dictate usage policy centrally. This XNAT is a "service provider" -- when features we offer are attractive, researchers use them. As such, our strategy for driving user adoption is to focus on power users within the community who naturally drive wider adoption when their needs are met.
For some users, such as our research MR imaging group, XNAT is immediately useful for data accessibility out-of-the-box. Others, such as our ophthalmology group, engage with us to make XNAT meet their needs.
Being able to store research data securely is crucial -- imperative for researchers. (Security in this case refers to protection against data loss. A hardware setup combined with software policy that supports data integrity is key.) ICTS does a lot of IT work, flexibly managing hardware for a number of different groups.
Researchers also see value in having a way to search through & display metadata that they're interested in, helping them build pools of subjects, sessions, etc. to support research.
Added an ophthalmic CT data model. Very little other customization to the XNAT production instance, but open to user requests.