Data DNA: The Next Generation of Statistical Metadata

Describes the components of a complete statistical metadata system and suggests ways to create and structure metadata for better access and understanding of data sets by diverse users

A Digital Repository and Execution Platform for Interactive Scholarly Publications in Neuroscience

The CARMEN Virtual Laboratory (VL) is a cloud-based platform which allows neuroscientists to store, share, develop, execute, reproduce and publicise their work. This paper describes new functionality in the CARMEN VL: an interactive publications repository. This new facility allows users to link data and software to publications. This enables other users to examine data and software associated with the publication and execute the associated software within the VL using the same data as the authors used in the publication. The cloud-based architecture and SaaS (Software as a Service) framework allows vast data sets to be uploaded and analysed using software services. Thus, this new interactive publications facility allows others to build on research results through reuse. This aligns with recent developments by funding agencies, institutions, and publishers with a move to open access research. Open access provides reproducibility and verification of research resources and results. Publications and their associated data and software will be assured of long-term preservation and curation in the repository. Further, analysing research data and the evaluations described in publications frequently requires a number of execution stages many of which are iterative. The VL provides a scientific workflow environment to combine software services into a processing tree. These workflows can also be associated with publications and executed by users. The VL also provides a secure environment where users can decide the access rights for each resource to ensure copyright and privacy restrictions are met

Literary texts in an electronic age: Scholarly implications and library services [papers presented at the 1994 Clinic on Library applications of Data Processing, April 10-12, 1994]

Authors and readers in an age of electronic texts / Jay David Bolter -- Electronic texts in the humanities : a coming of age / Susan Hockey -- The Text Encoding Initiative : electronic text markup for research / C.M. Sperberg-McQueen -- Electronic texts and multimedia in the academic library : a view from the front line / Anita K. Lowry -- Humanizing information technology : cultural evolution and the institutionalization of electronic text processing / Mark Tyler Day -- Cohabiting with copyright on the nets / Mary Brandt Jensen -- The role of the scholarly publisher in an electronic environment / Lorrie LeJeune -- The feasibility of wide-area textual analysis systems in libraries : a practical analysis / John Price-Wilkin -- The scholar and his library in the computer age / James W. Marchand -- The challenges of electronic texts in the library : bibliographic control and access / Rebecca S. Guenther -- Durkheim???s imperative : the role of humanities faculty in the information technologies revolution / Robert Alun Jones -- The materiality of the book : another turn of the screw / Terry Belanger.published or submitted for publicatio

An ontology-based model management architecture for service innovation

Organizations have indicated renewed interest in service innovation, design and management, given the growth of service sector. Decision support systems (DSS) play an important role in supporting this endeavor, through management of organizational resources such as data and models. Given the global nature of service value chains, there have been ever increasing demands on managing, sharing, and reusing these heterogeneous and distributed resources, both within and across organizational boundaries, through DSS consisting of database management systems (DBMS) and model management systems (MMS). Analogous to DBMS, model management systems focus on the management of decision models, dealing with representation, storage, and retrieval of models as well as a variety of applications such as analysis, reuse, sharing, and composition of models. Recent developments in the areas of semantic web and ontologies have provided a rich tool set for computational reasoning about these resources in an intelligent manner. In this chapter, we leverage these advances and apply service-oriented design principles to propose an ontology-based model management architecture supporting service innovation. The architecture is illustrated with case study scenarios and current state of implementation. The role of potential information technologies in supporting the architecture is also discussed. We then provide a roadmap to make advancements in research in this direction