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Caro-COOPS Data Management: Metadata

Caro-COOPS Data Management: Metadata

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Caro-COOPS Data Management: Metadata. An NSF EPSCoR SURA Grant Project. Cast-Net addresses the need for improved connectivity among coastal observing systems by creating a regional framework for enhanced communication and sharing of coastal observation capacities. - PowerPoint PPT Presentation

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Page 1: Caro-COOPS Data Management: Metadata

Caro-COOPS Data Management: Metadata

Page 2: Caro-COOPS Data Management: Metadata

Cast-Net addresses the need for improved connectivity among coastal observing systems by creating a regional framework for enhanced communication and sharing of coastal observation capacities.

Cast-Net addresses the need for improved connectivity among coastal observing systems by creating a regional framework for enhanced communication and sharing of coastal observation capacities.

An NSF EPSCoR SURA Grant Project

Page 3: Caro-COOPS Data Management: Metadata

• To create a regional framework for enhanced communication and sharing of coastal observation capacities;

• To create a system of tools that facilitate the collection, organization, and documentation of data and metadata at the observing system level;

• To distribute these tools among the SAML laboratories and provide assistance in their implementation;

• To identify those monitored parameters that are common to laboratories covering a broad geographical range, which can be used to develop a regional analysis and/or predicting capability;

• Ensure that this southeastern regional framework is compatible with the national and international vision of global ocean and coastal observation systems

• To create a regional framework for enhanced communication and sharing of coastal observation capacities;

• To create a system of tools that facilitate the collection, organization, and documentation of data and metadata at the observing system level;

• To distribute these tools among the SAML laboratories and provide assistance in their implementation;

• To identify those monitored parameters that are common to laboratories covering a broad geographical range, which can be used to develop a regional analysis and/or predicting capability;

• Ensure that this southeastern regional framework is compatible with the national and international vision of global ocean and coastal observation systems

Objectives of the Cast-Net Program

Page 4: Caro-COOPS Data Management: Metadata

• FGDC Content Standard for Digital Geospatial Metadata– Version 1 (1994); Version 2 (1998)

http://www.fgdc.gov/Metadata/ContStan.html– Version 3.0 expected to be released after international standard

approved

• NBII Biological Data Profile– Pre-profile based on 1995 American Institute of Biological

Sciences final report– Official FGDC Profile Approved in 1999

http://www.fgdc.gov/standards/status/sub5_2.html

• FGDC Content Standard for Digital Geospatial Metadata– Version 1 (1994); Version 2 (1998)

http://www.fgdc.gov/Metadata/ContStan.html– Version 3.0 expected to be released after international standard

approved

• NBII Biological Data Profile– Pre-profile based on 1995 American Institute of Biological

Sciences final report– Official FGDC Profile Approved in 1999

http://www.fgdc.gov/standards/status/sub5_2.html

Metadata Standards

Page 5: Caro-COOPS Data Management: Metadata

Metadata Standards

• Positive attributes of the FGDC Content Standard for Digital Geospatial Metadata (CSDGM)– Established Federal Standard– Numerous tools and resources are available to assist with its

development – FGDC standard and the International Organization for

standardization (ISO 19115) will soon be compatible

• Negative attributes of the CSDGM – Monolithic, it is difficult to integrate with other metadata

standards– The strong emphasis of spatial standards may not be

applicable– Other metadata standards may be more useful for data

management initiatives

• Positive attributes of the FGDC Content Standard for Digital Geospatial Metadata (CSDGM)– Established Federal Standard– Numerous tools and resources are available to assist with its

development – FGDC standard and the International Organization for

standardization (ISO 19115) will soon be compatible

• Negative attributes of the CSDGM – Monolithic, it is difficult to integrate with other metadata

standards– The strong emphasis of spatial standards may not be

applicable– Other metadata standards may be more useful for data

management initiatives

Page 6: Caro-COOPS Data Management: Metadata

Caro-COOPS Metadata Initiatives

• To create a metadata system that will meet the requirements of the FGDC, yet is flexible and efficient.

– Utilize other data and metadata standards such as SensorML, MarineXML, and Ecological Metadata Language (EML)

• Marine XML: designed to support metadata describing the data collection, quality control and subsequent processing, and facilitate the tracking of regional and global oceanographic data sets (http://www.aodc.gov.au/products/prod/marinexml.html and http://ioc.unesco.org/marinexml/).

• SensorML: an XML schema for defining the geometric, dynamic, and observational characteristics of a sensor (rain gauge to a satellite system) (http://vast.uah.edu/SensorML/).

• EML: it exists as a set of XML Schema documents that allow for the structural expression of metadata necessary to document a typical data set in the ecological sciences (http://knb.ecoinformatics.org/software/eml/ ).

• To create a metadata system that will meet the requirements of the FGDC, yet is flexible and efficient.

– Utilize other data and metadata standards such as SensorML, MarineXML, and Ecological Metadata Language (EML)

• Marine XML: designed to support metadata describing the data collection, quality control and subsequent processing, and facilitate the tracking of regional and global oceanographic data sets (http://www.aodc.gov.au/products/prod/marinexml.html and http://ioc.unesco.org/marinexml/).

• SensorML: an XML schema for defining the geometric, dynamic, and observational characteristics of a sensor (rain gauge to a satellite system) (http://vast.uah.edu/SensorML/).

• EML: it exists as a set of XML Schema documents that allow for the structural expression of metadata necessary to document a typical data set in the ecological sciences (http://knb.ecoinformatics.org/software/eml/ ).

Page 7: Caro-COOPS Data Management: Metadata

Caro-COOPS Metadata Initiatives cont.

• Metadata archived in relational databases and using XML and XSLT technologies:

– Allows for the creation of user templates, only those fields that are regularly updated need to be administered.

– Customizable metadata initiatives that are a reflection of the requirements of an individual institution or a researcher.

– Always allow for the generation of FGDC metadata to meet federal requirements.

• Metadata archived in relational databases and using XML and XSLT technologies:

– Allows for the creation of user templates, only those fields that are regularly updated need to be administered.

– Customizable metadata initiatives that are a reflection of the requirements of an individual institution or a researcher.

– Always allow for the generation of FGDC metadata to meet federal requirements.

Page 8: Caro-COOPS Data Management: Metadata

Caro-COOPS Metadata Initiatives cont.

• Metadata generated by the Caro-COOPS program is diverse and multiple strategies are needed.

– Metadata that describes instrumentation data will require minimum attention once initial metadata documentation has been developed.

– Operational metadata will describe geometric, dynamic, and observational characteristics buoy instrumentation (i.e., sensorML). This should only require updates after instrumentation maintenance/calibration.

– Biological collections are diverse and require unique solutions that do not necessarily allow for easy automation of metadata procedures.

• Metadata generated by the Caro-COOPS program is diverse and multiple strategies are needed.

– Metadata that describes instrumentation data will require minimum attention once initial metadata documentation has been developed.

– Operational metadata will describe geometric, dynamic, and observational characteristics buoy instrumentation (i.e., sensorML). This should only require updates after instrumentation maintenance/calibration.

– Biological collections are diverse and require unique solutions that do not necessarily allow for easy automation of metadata procedures.

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