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As research datasets and analyses grow in complexity, data that could bevaluable to other researchers and to support the integrity of published workremain uncurated across disciplines. These data are especially concentrated inthe Long Tail of funded research, where curation resources and relatedexpertise are often inaccessible. In the domain of astronomy, it is undisputedthat uncurated dark data exist, but the scope of the problem remains uncertain.The Astrolabe Project is a collaboration between University of Arizonaresearchers, the CyVerse cyberinfrastructure environment, and AmericanAstronomical Society, with a mission to identify and ingestpreviously-uncurated astronomical data, and to provide a robust computationalenvironment for analysis and sharing of data, as well as services for authorswishing to deposit data associated with publications. Following expert feedbackobtained through two workshops held in 2015 and 2016, Astrolabe is funded inpart by National Science Foundation. The system is being actively developedwithin CyVerse, and Astrolabe collaborators are soliciting heterogeneousdatasets and potential users for the prototype system. Astrolabe team membersare currently working to characterize the properties of uncurated astronomicaldata, and to develop automated methods for locating potentially-useful data tobe targeted for ingest into Astrolabe, while cultivating a user community forthe new data management system.

The Astrolabe Project: Identifying and Curating Astronomical Dark Data through Development of Cyberinfrastructure Resources