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  • × author_ss:"Jeffery, K.G."
  1. Asserson, A.; Jeffery, K.G.; Lopatenko, A.: CERIF: past, present and future : an overview (2002) 0.00 
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    Abstract
    CERIF (Common European Research Information Format) provides a canonical reference data model at both data and metadata levels. As such it is a model for the development of new CRISs (Current Research Information Systems) and a template both for data exchange between CRISs and for mediating access to multiple heterogeneous distributed CRISs. CERIF originated in 1988 but was based an earlier work in several European countries. The CERIF91 standard had some defects which became apparent in use. In 1997 a working group of the EC was set up to produce CERIF2000. This is a formal datamodel and thus unambiguously implementable. The CERIF Task Group of euroCRIS is working actively an implementations, lessons learned and improvements.
    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
    Type
    a
  2. Lopatenko, A.; Asserson, A.; Jeffery, K.G.: CERIF - Information retrieval of research information in a distributed heterogeneous environment (2002) 0.00 
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    Abstract
    User demands to have access to complete and actual information about research may require integration of data from different CRISs. CRISs are rarely homogenous systems and problems of CRISs integration must be addressed from technological point of view. Implementation of CRIS providing access to heterogeneous data distributed among a number of CRISs is described. A few technologies - distributed databases, web services, semantic web are used for distributed CRIS to address different user requirements. Distributed databases serve to implement very efficient integration of homogenous systems, web services - to provide open access to research information, semantic web - to solve problems of integration semantically and structurally heterogeneous data sources and provide intelligent data retrieval interfaces. The problems of data completeness in distributed systems are addressed and CRIS-adequate solution for data completeness is suggested.
    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
    Type
    a
  3. Jeffery, K.G.; Lopatenko, A.; Asserson, A.: Comparative study of metadata for scientific information : the place of CERIF in CRISs and scientific repositories (2002) 0.00 
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    Abstract
    Metadata provides the human- and machine-accessible gateway to data, improves data to information, and provides the semantic context within which knowledge can be induced from information. Metadata is the means for using together scientific data from heterogeneous sources. A CRIS commonly holds data which, while useful in itself, commonly is also metadata describing more detailed data and information an projects, persons, organizations, products of R&D (patents, products, publications) equipment used for R&D and R&D funding. It is important, therefore, to classify the metadata formats used in various scientific repositories in order to understand their scope and interoperability, and their relationship to CERIF representing CRISs. Metadata formats are reviewed according to intention, abstraction level and technology criteria. The place of CERIF in CRISs in this wider sense (including scientific repositories) is considered and compared with other metadata models and formats. The superiority of CERIF (in formalism and flexibility) is demonstrated.
    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
    Type
    a
  4. Jeffery, K.G.; Bailo, D.: EPOS: using metadata in geoscience (2014) 0.00 
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    Abstract
    One of the key aspects of the approaching data-intensive science era is integration of data through interoperability of systems providing data products or visualisation and processing services. Far from being simple, interoperability requires robust and scalable e-infrastructures capable of supporting it. In this work we present the case of EPOS, a project for data integration in the field of Earth Sciences. We describe the design of its e-infrastructure and show its main characteristics. One of the main elements enabling the system to integrate data, data products and services is the metadata catalog based on the CERIF metadata model. Such a model, modified to fit into the general e-infrastructure design, is part of a three-layer metadata architecture. CERIF guarantees a robust handling of metadata, which is in this case the key to the interoperability and to one of the feature of the EPOS system: the possibility of carrying on data intensive science orchestrating the distributed resources made available by EPOS data providers and stakeholders.
    Type
    a

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