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  • × author_ss:"Bartolo, L.M."
  1. Bartolo, L.M.; Lowe, C.S.; Melton, A.C.; Strahl, M.; Feng, L.; Woolverton, C.J.: Effectiveness of tagging laboratory data using Dublin Core in an electronic scientific notebook (2002) 0.02 
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    Source
    Gaining insight from research information (CRIS2002): Proceedings of the 6th International Conference an Current Research Information Systems, University of Kassel, August 29 - 31, 2002. Eds: W. Adamczak u. A. Nase
  2. Bartolo, L.M.; Lowe, C.S.; Sadoway, D.R.; Powell, A.C.; Glotzer, S.C.: NSDL MatDL : exploring digital library roles (2005) 0.01 
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    Abstract
    A primary goal of the NSDL Materials Digital Library (MatDL) is to bring materials science research and education closer together. MatDL is exploring the various roles digital libraries can serve in the materials science community including: 1) supporting a virtual lab, 2) developing markup language applications, and 3) building tools for metadata capture. MatDL is being integrated into an MIT virtual laboratory experience. Early student self-assessment survey results expressed positive opinions of the potential value of MatDL in supporting a virtual lab and in accomplishing additional educational objectives. A separate survey suggested that the effectiveness of a virtual lab may approach that of a physical lab on some laboratory learning objectives. MatDL is collaboratively developing a materials property grapher (KSU and MIT) and a submission tool (KSU and U-M). MatML is an extensible markup language for exchanging materials information developed by materials data experts in industry, government, standards organizations, and professional societies. The web-based MatML grapher allows students to compare selected materials properties across approximately 80 MatML-tagged materials. The MatML grapher adds value in this educational context by allowing students to utilize real property data to make optimal material selection decisions. The submission tool has been integrated into the regular workflow of U-M students and researchers generating nanostructure images. It prompts users for domain-specific information, automatically generating and attaching keywords and editable descriptions.
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  3. Bartolo, L.M.; Smith, T.D.: Interdisciplinary work and the information search process : a comparison of manual and online searching (1993) 0.00 
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  4. Bartolo, L.M.; Lowe, C.S.; Glotzer, S.C.: Information management of microstructures : non-print, multidisciplinary information in a materials science digital library (2004) 0.00 
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  5. Bartolo, L.M.; Zumer, M.; Casson, R.; Holmberg, L.: ¬The ALCOM/NIST heterogeneous structures database : knowledge structure for basic and applied research in an interdisciplinary scientific collaboration (1998) 0.00 
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  6. Bartolo, L.M.; Trimble, A.M.: Heterogeneous structures project database : vocabulary mapping within a multidisciplinary, multiinstitutional research group (2000) 0.00 
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