The Experts below are selected from a list of 15981 Experts worldwide ranked by ideXlab platform

Marta Pantoquilho - One of the best experts on this subject based on the ideXlab platform.

  • XML based Metadata Repository for Information Systems
    2005 portuguese conference on artificial intelligence, 2005
    Co-Authors: Ricardo Ferreira, Ramiro Martins, João Moura-pires, Marta Pantoquilho
    Abstract:

    Today's information systems include many components and computational processes such as data warehouses, data marts, ETL processes, data analysis tools, etc. An appropriate integration of these components requires the extensive use of Metadata. However the representation, consolidation, management, and access to this Metadata information can cause a major overhead in the system. This paper presents an XML based Metadata Repository that consists of a centralized Repository built upon standard XML technologies such as XML Schema, XSL, XQuery and XLink, coupled with an appropriate storage that proved to be a flexible, and yet inexpensive, Metadata solution. Moreover it provides the means for the metamodel extensibility and easy integration into any information system. The feasibility of this solution is documented by the description and discussion of a prototype implementation currently deployed and running in operational state as part of a complex information system

Carl Lagoze - One of the best experts on this subject based on the ideXlab platform.

  • ced 2 ar the comprehensive extensible data documentation and access Repository
    ACM IEEE Joint Conference on Digital Libraries, 2014
    Co-Authors: Carl Lagoze, Jeremy Williams, Benjamin Perry, Lars Vilhuber, William C. Block
    Abstract:

    We describe the design, implementation, and deployment of the Comprehensive Extensible Data Documentation and Access Repository (CED2AR). This is a Metadata Repository system that allows researchers to search, browse, access, and cite confidential data and Metadata through either a web-based user interface or programmatically through a search API, all the while re-reusing and linking to existing archive and provider generated Metadata. CED2AR is distinguished from other Metadata Repository-based applications due to requirements that derive from its social science context. These include the need to cloak confidential data and Metadata and manage complex provenance chains.

  • ced 2 ar the comprehensive extensible data documentation and access Repository
    ACM IEEE Joint Conference on Digital Libraries, 2014
    Co-Authors: Carl Lagoze, Jeremy Williams, Benjamin Perry, Lars Vilhuber, William C. Block
    Abstract:

    We describe the design, implementation, and deployment of the Comprehensive Extensible Data Documentation and Access Repository (CED2AR). This is a Metadata Repository system that allows researchers to search, browse, access, and cite confidential data and Metadata through either a web-based user interface or programmatically through a search API, all the while re-reusing and linking to existing archive and provider generated Metadata. CED2AR is distinguished from other Metadata Repository-based applications due to requirements that derive from its social science context. These include the need to cloak confidential data and Metadata and manage complex provenance chains.

  • core services in the architecture of the national science digital library nsdl
    ACM IEEE Joint Conference on Digital Libraries, 2002
    Co-Authors: Carl Lagoze, William Y Arms, Stoney Gan, Diane I Hillmann, Christopher Ingram, Dean B Krafft, Richard J Marisa, Jon Phipps, John Saylor, Carol Terrizzi
    Abstract:

    We describe the core components of the architecture for the National Science Digital Library (NSDL). Over time the NSDL will include heterogeneous users, content, and services. To accommodate this, a design for a technical and organization infrastructure has been formulated based on the notion of a spectrum of interoperability. This paper describes the first phase of the interoperability infrastructure including the Metadata Repository, search and discovery services, rights management services, and user interface portal facilities.

  • core services in the architecture of the national digital library for science education nsdl
    arXiv: Digital Libraries, 2002
    Co-Authors: Carl Lagoze, William Y Arms, Stoney Gan, Diane I Hillmann, Christopher Ingram, Dean B Krafft, Richard J Marisa, Jon Phipps, John Saylor, Carol Terrizzi
    Abstract:

    We describe the core components of the architecture for the (NSDL) National Science, Mathematics, Engineering, and Technology Education Digital Library. Over time the NSDL will include heterogeneous users, content, and services. To accommodate this, a design for a technical and organization infrastructure has been formulated based on the notion of a spectrum of interoperability. This paper describes the first phase of the interoperability infrastructure including the Metadata Repository, search and discovery services, rights management services, and user interface portal facilities.

Christopher G. Chute - One of the best experts on this subject based on the ideXlab platform.

  • building a semantic web based Metadata Repository for facilitating detailed clinical modeling in cancer genome studies
    Journal of Biomedical Semantics, 2017
    Co-Authors: Deepak K Sharma, Harold R. Solbrig, Christopher G. Chute, Cui Tao, Chunhua Weng, Guo Qian Jiang
    Abstract:

    Detailed Clinical Models (DCMs) have been regarded as the basis for retaining computable meaning when data are exchanged between heterogeneous computer systems. To better support clinical cancer data capturing and reporting, there is an emerging need to develop informatics solutions for standards-based clinical models in cancer study domains. The objective of the study is to develop and evaluate a cancer genome study Metadata management system that serves as a key infrastructure in supporting clinical information modeling in cancer genome study domains. We leveraged a Semantic Web-based Metadata Repository enhanced with both ISO11179 Metadata standard and Clinical Information Modeling Initiative (CIMI) Reference Model. We used the common data elements (CDEs) defined in The Cancer Genome Atlas (TCGA) data dictionary, and extracted the Metadata of the CDEs using the NCI Cancer Data Standards Repository (caDSR) CDE dataset rendered in the Resource Description Framework (RDF). The ITEM/ITEM_GROUP pattern defined in the latest CIMI Reference Model is used to represent reusable model elements (mini-Archetypes). We produced a Metadata Repository with 38 clinical cancer genome study domains, comprising a rich collection of mini-Archetype pattern instances. We performed a case study of the domain “clinical pharmaceutical” in the TCGA data dictionary and demonstrated enriched data elements in the Metadata Repository are very useful in support of building detailed clinical models. Our informatics approach leveraging Semantic Web technologies provides an effective way to build a CIMI-compliant Metadata Repository that would facilitate the detailed clinical modeling to support use cases beyond TCGA in clinical cancer study domains.

  • A Standards-based Semantic Metadata Repository to Support EHR-driven Phenotype Authoring and Execution
    Studies in Health Technology and Informatics, 2015
    Co-Authors: Guo Qian Jiang, Harold R. Solbrig, Peter Speltz, Rudolf Kiefer, Huan Mo, William K. Thompson, Luke V. Rasmussen, Joshua C. Denny, Christopher G. Chute, Jyotishman Pathak
    Abstract:

    This study describes our efforts in developing a standards-based semantic Metadata Repository for supporting electronic health record (EHR)-driven phenotype authoring and execution. Our system comprises three layers: 1) a semantic data element Repository layer; 2) a semantic services layer; and 3) a phenotype application layer. In a prototype implementation, we developed the Repository and services through integrating the data elements from both Quality Data Model (QDM) and HL7 Fast Healthcare Inteoroperability Resources (FHIR) models. We discuss the modeling challenges and the potential of our system to support EHR phenotype authoring and execution applications.

  • mapping clinical phenotype data elements to standardized Metadata repositories and controlled terminologies the emerge network experience
    Journal of the American Medical Informatics Association, 2011
    Co-Authors: Jyotishman Pathak, J Wang, Sudha Kashyap, Melissa A Basford, Daniel R Masys, Christopher G. Chute
    Abstract:

    Background Systematic study of clinical phenotypes is important for a better understanding of the genetic basis of human diseases and more effective gene-based disease management. A key aspect in facilitating such studies requires standardized representation of the phenotype data using common data elements (CDEs) and controlled biomedical vocabularies. In this study, the authors analyzed how a limited subset of phenotypic data is amenable to common definition and standardized collection, as well as how their adoption in large-scale epidemiological and genome-wide studies can significantly facilitate cross-study analysis. Methods The authors mapped phenotype data dictionaries from five different eMERGE (Electronic Medical Records and Genomics) Network sites studying multiple diseases such as peripheral arterial disease and type 2 diabetes. For mapping, standardized terminological and Metadata Repository resources, such as the caDSR (Cancer Data Standards Registry and Repository) and SNOMED CT (Systematized Nomenclature of Medicine), were used. The mapping process comprised both lexical (via searching for relevant pre-coordinated concepts and data elements) and semantic (via post-coordination) techniques. Where feasible, new data elements were curated to enhance the coverage during mapping. A web-based application was also developed to uniformly represent and query the mapped data elements from different eMERGE studies. Results Approximately 60% of the target data elements (95 out of 157) could be mapped using simple lexical analysis techniques on pre-coordinated terms and concepts before any additional curation of terminology and Metadata resources was initiated by eMERGE investigators. After curation of 54 new caDSR CDEs and nine new NCI thesaurus concepts and using post-coordination, the authors were able to map the remaining 40% of data elements to caDSR and SNOMED CT. A web-based tool was also implemented to assist in semi-automatic mapping of data elements. Conclusion This study emphasizes the requirement for standardized representation of clinical research data using existing Metadata and terminology resources and provides simple techniques and software for data element mapping using experiences from the eMERGE Network.

Ricardo Ferreira - One of the best experts on this subject based on the ideXlab platform.

  • XML based Metadata Repository for Information Systems
    2005 portuguese conference on artificial intelligence, 2005
    Co-Authors: Ricardo Ferreira, Ramiro Martins, João Moura-pires, Marta Pantoquilho
    Abstract:

    Today's information systems include many components and computational processes such as data warehouses, data marts, ETL processes, data analysis tools, etc. An appropriate integration of these components requires the extensive use of Metadata. However the representation, consolidation, management, and access to this Metadata information can cause a major overhead in the system. This paper presents an XML based Metadata Repository that consists of a centralized Repository built upon standard XML technologies such as XML Schema, XSL, XQuery and XLink, coupled with an appropriate storage that proved to be a flexible, and yet inexpensive, Metadata solution. Moreover it provides the means for the metamodel extensibility and easy integration into any information system. The feasibility of this solution is documented by the description and discussion of a prototype implementation currently deployed and running in operational state as part of a complex information system

William C. Block - One of the best experts on this subject based on the ideXlab platform.

  • ced 2 ar the comprehensive extensible data documentation and access Repository
    ACM IEEE Joint Conference on Digital Libraries, 2014
    Co-Authors: Carl Lagoze, Jeremy Williams, Benjamin Perry, Lars Vilhuber, William C. Block
    Abstract:

    We describe the design, implementation, and deployment of the Comprehensive Extensible Data Documentation and Access Repository (CED2AR). This is a Metadata Repository system that allows researchers to search, browse, access, and cite confidential data and Metadata through either a web-based user interface or programmatically through a search API, all the while re-reusing and linking to existing archive and provider generated Metadata. CED2AR is distinguished from other Metadata Repository-based applications due to requirements that derive from its social science context. These include the need to cloak confidential data and Metadata and manage complex provenance chains.

  • ced 2 ar the comprehensive extensible data documentation and access Repository
    ACM IEEE Joint Conference on Digital Libraries, 2014
    Co-Authors: Carl Lagoze, Jeremy Williams, Benjamin Perry, Lars Vilhuber, William C. Block
    Abstract:

    We describe the design, implementation, and deployment of the Comprehensive Extensible Data Documentation and Access Repository (CED2AR). This is a Metadata Repository system that allows researchers to search, browse, access, and cite confidential data and Metadata through either a web-based user interface or programmatically through a search API, all the while re-reusing and linking to existing archive and provider generated Metadata. CED2AR is distinguished from other Metadata Repository-based applications due to requirements that derive from its social science context. These include the need to cloak confidential data and Metadata and manage complex provenance chains.