The Experts below are selected from a list of 267 Experts worldwide ranked by ideXlab platform

Karen S. Baker - One of the best experts on this subject based on the ideXlab platform.

  • Towards Standardization: A Participatory Framework for Scientific Standard-Making
    International Journal of Digital Curation, 2013
    Co-Authors: Lynn Yarmey, Karen S. Baker
    Abstract:

    In contemporary scientific research, standard-making and standardization are key processes for the sharing and reuse of data. The goals of this paper are twofold: 1) to stress that collaboration is crucial to standard-making, and 2) to urge recognition of Metadata standardization as part of the scientific process. To achieve these goals, a participatory framework for developing and implementing scientific Metadata standards is presented. We highlight the need for ongoing, open dialogue within and among research communities at multiple levels. Using the Long Term Ecological Research network adoption of the Ecological Metadata Language as a case example in the natural sciences, we illustrate how a participatory framework addresses the need for active coordination of the evolution of scientific Metadata standards. The participatory framework is contrasted with a hierarchical framework to underscore how the development of scientific standards is a dynamic and continuing process. The roles played by ‘best practices’ and ‘working standards’ are identified in relation to the process of standardization.

  • Toward Standardization: A Participatory Framework for the Process of Developing Scientific Metadata Standards
    2013
    Co-Authors: Lynn Yarmey, Karen S. Baker
    Abstract:

    In contemporary scientific research, standard-making and standardization are key processes for the sharing and reuse of data. The goals of this paper are twofold: 1) to stress that collaboration is crucial to standard-making and 2) to recommend recognition of Metadata standardization as part of the scientific process. To achieve these goals, a participatory framework for developing and implementing scientific Metadata standards is presented. We highlight the need for ongoing, open dialogue within and among research communities at multiple levels. Using the Long Term Ecological Research network adoption of the Ecological Metadata Language as a case example in the natural sciences, we illustrate how a participatory framework addresses the need for active coordination of the evolution of scientific Metadata standards. The participatory framework is contrasted with a hierarchical framework to underscore how the development of scientific standards is a dynamic and continuing process. The roles played by ‘best practices’ and ‘working standards’ are identified in relation to the process of standardization.

  • The Long-Term Ecological Research community Metadata standardisation project: a progress report
    International Journal of Metadata Semantics and Ontologies, 2009
    Co-Authors: Inigo San Gil, Kristin Vanderbilt, Karen S. Baker, John L. Campbell, Ellen G. Denny, Brian Riordan, Rebecca Koskela, Jason Downing, Sabine Grabner, Eda Melendez
    Abstract:

    We describe the process by which the Long-Term Ecological Research (LTER) Network standardised their Metadata through the adoption of the Ecological Metadata Language (EML). We describe the strategies developed to improve motivation and to complement the information technology resources available at the LTER sites. EML implementation is presented as a mapping process that was accomplished per site in stages, with Metadata quality ranging from 'discovery level' to rich-content level over time. As of publication, over 6000 rich-content standardised records have been published using EML, potentially enabling the goal of machine-mediated, Metadata-driven data synthesis.

Arne Bröring - One of the best experts on this subject based on the ideXlab platform.

  • starfl a modularised Metadata Language for sensor descriptions
    International Journal of Digital Earth, 2014
    Co-Authors: Christian Malewski, Ingo Simonis, Andrew Terhorst, Arne Bröring
    Abstract:

    An ever-increasing number of sensor resources are being exposed via the World Wide Web to become part of the Digital Earth. Discovery, selection and use of these sensors and their observations require a robust sensor information model, but the consistent description of sensor Metadata is a complex and difficult task. Currently, the only available robust model is SensorML, which is intentionally designed in a very generic way. Due to this genericness, interoperability can hardly be achieved without the definition of application profiles that further constrain the use and expressiveness of the root Language. So far, such SensorML profiles have only been developed up to a limited extent. This work describes a new approach for defining sensor Metadata, the Starfish Fungus Language (StarFL) model. This Language follows a more restrictive approach and incorporates concepts from the recently published Semantic Sensor Network Ontology to overcome the key issues users are experiencing with SensorML. StarFL defines...

  • StarFL – a modularised Metadata Language for sensor descriptions
    International Journal of Digital Earth, 2012
    Co-Authors: Christian Malewski, Ingo Simonis, Andrew Terhorst, Arne Bröring
    Abstract:

    An ever-increasing number of sensor resources are being exposed via the World Wide Web to become part of the Digital Earth. Discovery, selection and use of these sensors and their observations require a robust sensor information model, but the consistent description of sensor Metadata is a complex and difficult task. Currently, the only available robust model is SensorML, which is intentionally designed in a very generic way. Due to this genericness, interoperability can hardly be achieved without the definition of application profiles that further constrain the use and expressiveness of the root Language. So far, such SensorML profiles have only been developed up to a limited extent. This work describes a new approach for defining sensor Metadata, the Starfish Fungus Language (StarFL) model. This Language follows a more restrictive approach and incorporates concepts from the recently published Semantic Sensor Network Ontology to overcome the key issues users are experiencing with SensorML. StarFL defines...

Lynn Yarmey - One of the best experts on this subject based on the ideXlab platform.

  • Towards Standardization: A Participatory Framework for Scientific Standard-Making
    International Journal of Digital Curation, 2013
    Co-Authors: Lynn Yarmey, Karen S. Baker
    Abstract:

    In contemporary scientific research, standard-making and standardization are key processes for the sharing and reuse of data. The goals of this paper are twofold: 1) to stress that collaboration is crucial to standard-making, and 2) to urge recognition of Metadata standardization as part of the scientific process. To achieve these goals, a participatory framework for developing and implementing scientific Metadata standards is presented. We highlight the need for ongoing, open dialogue within and among research communities at multiple levels. Using the Long Term Ecological Research network adoption of the Ecological Metadata Language as a case example in the natural sciences, we illustrate how a participatory framework addresses the need for active coordination of the evolution of scientific Metadata standards. The participatory framework is contrasted with a hierarchical framework to underscore how the development of scientific standards is a dynamic and continuing process. The roles played by ‘best practices’ and ‘working standards’ are identified in relation to the process of standardization.

  • Toward Standardization: A Participatory Framework for the Process of Developing Scientific Metadata Standards
    2013
    Co-Authors: Lynn Yarmey, Karen S. Baker
    Abstract:

    In contemporary scientific research, standard-making and standardization are key processes for the sharing and reuse of data. The goals of this paper are twofold: 1) to stress that collaboration is crucial to standard-making and 2) to recommend recognition of Metadata standardization as part of the scientific process. To achieve these goals, a participatory framework for developing and implementing scientific Metadata standards is presented. We highlight the need for ongoing, open dialogue within and among research communities at multiple levels. Using the Long Term Ecological Research network adoption of the Ecological Metadata Language as a case example in the natural sciences, we illustrate how a participatory framework addresses the need for active coordination of the evolution of scientific Metadata standards. The participatory framework is contrasted with a hierarchical framework to underscore how the development of scientific standards is a dynamic and continuing process. The roles played by ‘best practices’ and ‘working standards’ are identified in relation to the process of standardization.

Christian Malewski - One of the best experts on this subject based on the ideXlab platform.

  • starfl a modularised Metadata Language for sensor descriptions
    International Journal of Digital Earth, 2014
    Co-Authors: Christian Malewski, Ingo Simonis, Andrew Terhorst, Arne Bröring
    Abstract:

    An ever-increasing number of sensor resources are being exposed via the World Wide Web to become part of the Digital Earth. Discovery, selection and use of these sensors and their observations require a robust sensor information model, but the consistent description of sensor Metadata is a complex and difficult task. Currently, the only available robust model is SensorML, which is intentionally designed in a very generic way. Due to this genericness, interoperability can hardly be achieved without the definition of application profiles that further constrain the use and expressiveness of the root Language. So far, such SensorML profiles have only been developed up to a limited extent. This work describes a new approach for defining sensor Metadata, the Starfish Fungus Language (StarFL) model. This Language follows a more restrictive approach and incorporates concepts from the recently published Semantic Sensor Network Ontology to overcome the key issues users are experiencing with SensorML. StarFL defines...

  • StarFL – a modularised Metadata Language for sensor descriptions
    International Journal of Digital Earth, 2012
    Co-Authors: Christian Malewski, Ingo Simonis, Andrew Terhorst, Arne Bröring
    Abstract:

    An ever-increasing number of sensor resources are being exposed via the World Wide Web to become part of the Digital Earth. Discovery, selection and use of these sensors and their observations require a robust sensor information model, but the consistent description of sensor Metadata is a complex and difficult task. Currently, the only available robust model is SensorML, which is intentionally designed in a very generic way. Due to this genericness, interoperability can hardly be achieved without the definition of application profiles that further constrain the use and expressiveness of the root Language. So far, such SensorML profiles have only been developed up to a limited extent. This work describes a new approach for defining sensor Metadata, the Starfish Fungus Language (StarFL) model. This Language follows a more restrictive approach and incorporates concepts from the recently published Semantic Sensor Network Ontology to overcome the key issues users are experiencing with SensorML. StarFL defines...

Ingo Simonis - One of the best experts on this subject based on the ideXlab platform.

  • starfl a modularised Metadata Language for sensor descriptions
    International Journal of Digital Earth, 2014
    Co-Authors: Christian Malewski, Ingo Simonis, Andrew Terhorst, Arne Bröring
    Abstract:

    An ever-increasing number of sensor resources are being exposed via the World Wide Web to become part of the Digital Earth. Discovery, selection and use of these sensors and their observations require a robust sensor information model, but the consistent description of sensor Metadata is a complex and difficult task. Currently, the only available robust model is SensorML, which is intentionally designed in a very generic way. Due to this genericness, interoperability can hardly be achieved without the definition of application profiles that further constrain the use and expressiveness of the root Language. So far, such SensorML profiles have only been developed up to a limited extent. This work describes a new approach for defining sensor Metadata, the Starfish Fungus Language (StarFL) model. This Language follows a more restrictive approach and incorporates concepts from the recently published Semantic Sensor Network Ontology to overcome the key issues users are experiencing with SensorML. StarFL defines...

  • StarFL – a modularised Metadata Language for sensor descriptions
    International Journal of Digital Earth, 2012
    Co-Authors: Christian Malewski, Ingo Simonis, Andrew Terhorst, Arne Bröring
    Abstract:

    An ever-increasing number of sensor resources are being exposed via the World Wide Web to become part of the Digital Earth. Discovery, selection and use of these sensors and their observations require a robust sensor information model, but the consistent description of sensor Metadata is a complex and difficult task. Currently, the only available robust model is SensorML, which is intentionally designed in a very generic way. Due to this genericness, interoperability can hardly be achieved without the definition of application profiles that further constrain the use and expressiveness of the root Language. So far, such SensorML profiles have only been developed up to a limited extent. This work describes a new approach for defining sensor Metadata, the Starfish Fungus Language (StarFL) model. This Language follows a more restrictive approach and incorporates concepts from the recently published Semantic Sensor Network Ontology to overcome the key issues users are experiencing with SensorML. StarFL defines...