HR: 0800h
AN: IN31A-02    [Abstracts]
TI: Sphere of Knowledge Implications for Policy Embedded GIS/Informatics Collaboration
AU: * Branch, B D
EM: branch_db@yahoo.com
AB: A Sphere of Knowledge (SK) is hereby defined as a pseudo-ontology, which may render interdisciplinary research as norm for all disciplines in order deal with global environment and economy concerns. Citizenry literate data sharing and informatics may be feasible only in shared knowledge experiences that an interdisciplinary workforce can provide. Governmental data use, as a workforce concern is more complex. Large data repositories, in databases or data warehouses may constantly centralize and re-distribute data. Centralized data archives require standards as well. These standards must serve multiple users, including investigators recording or generating the data and investigators accessing the data, and must guide developers and maintainers of the databases' (Gardner, et al, 2003, p. 2). Hence, Gardner, et al. (2003) indicated the importance of standards in data sharing. Thus, critical to open data use is a standard means of access and distributions and agreements. Executive Order 12906, a federal mandate has an overall policy influence that all data should be free and accessible. In addition, one of the underlying principles is that scientists and non-scientists should not be forced to learn complex details of the data product naming and schema, other people's naming vocabularies, schemes and syntax decisions and myriad details of differing web site interfaces' (Fox, McGuinness, Raskin and Sinha, 2008, p. 1). If such is true, then the use of such data as an actual job skill or activity needs to be measured and addressed by all institutions of learning. Moreover, any economy suffering from job loss may reconstitute new jobs in a data driven economy. Policy development and implementation should reflect such complexities' (Gardner, et al, 2003, p. 2). SK may be too broad for any one disciplinary to address effectively as a next generation concern. For example, informatics and the use of geographical information systems may require skills sets that are not germane solely to computer science, geography, or information technology, but in a collective manner. The demand for deep integration of scientific data within and between disciplines is also growing, as larger and broader science questions are becoming more common. Concurrent with the growing demand for next generation information technology for science is a growth in semantic technologies' (McGuinness, Fox, and Brodaric, 2008, p. 1). Hence, paradigms of spatial thinking are in geography which inherent in geographical information systems. However, such connections may not be taught as connected, correlated or intertwined ontologisms or concepts that transfers to work force considerations because each may not be perceived as a fundamental job skill.
DE: 6324 Legislation and regulations (6615)
DE: 6344 System operation and management
DE: 6615 Legislation and regulations (6324)
DE: 6620 Science policy (0485)
DE: 6630 Workforce
SC: Earth and Space Science Informatics [IN]
MN: 2009 Joint Assembly