When use cases are not useful: data practices, astronomy, and digital libraries

As science becomes more dependent upon digital data, the need for data curation and for data digital libraries becomes more urgent. Questions remain about what researchers consider to be their data, their criteria for selecting and trusting data, and their orientation to data challenges. This paper reports findings from the first 18 months of research on astronomy data practices from the Data Conservancy. Initial findings suggest that issues for data production, use, preservation, and sharing revolve around factors that rarely are accommodated in use cases for digital library system design including trust in data, funding structures, communication channels, and perceptions of scientific value.

[1]  S. Hilgartner,et al.  Data Access, Ownership, and Control , 1994 .

[2]  Susan Lilly,et al.  Use case pitfalls: top 10 problems from real projects using use cases , 1999, Proceedings of Technology of Object-Oriented Languages and Systems - TOOLS 30 (Cat. No.PR00278).

[3]  S. George Djorgovski,et al.  Virtual astronomy, information technology, and the new scientific methodology , 2005, Seventh International Workshop on Computer Architecture for Machine Perception (CAMP'05).

[4]  C. Borgman Scholarship in the Digital Age , 2007 .

[5]  Peter Ingwersen,et al.  Towards a data publishing framework for primary biodiversity data: challenges and potentials for the biodiversity informatics community , 2009, BMC Bioinformatics.

[6]  Robert J. Hanisch,et al.  The Data Conservancy: Building a Sustainable System for Interdisciplinary Scientific Data Curation and Preservation , 2009 .

[7]  Anthony J. G. Hey,et al.  Jim Gray on eScience: a transformed scientific method , 2009, The Fourth Paradigm.

[8]  Curtis Wong,et al.  Bringing the night sky closer: discoveries in the data deluge , 2009, The Fourth Paradigm.

[9]  Matthew S. Mayernik,et al.  Digital libraries for scientific data discovery and reuse: from vision to practical reality , 2010, JCDL '10.

[10]  Simone Sacchi,et al.  Definitions of dataset in the scientific and technical literature , 2010, ASIST.

[11]  Richard Furuta,et al.  What humanists want: how scholars use source materials , 2010, JCDL '10.

[12]  Leyna C. Cotran,et al.  Applying Software Design and Requirements Engineering Techniques to System Conception , 2010 .