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GEO label generation  

 

A data provider can self-declare conformity of their own datasets with the GEO label. The data provider should review their operations and the dataset against the specifications set out for each data management principle. They can then declare conformity with between 1 – 10 data management principles underpinning the GEO label. To generate a label, select each principle which the dataset adheres to in order to generate the relevant GEO label. The GEO label can be used on websites where the datasets is published or on outreach materials. Where the GEO label for a dataset is published, there should also appear a link to www.geolabel.info so that users can get an explanation of the label and facets.

 

GEO label Level 1 generation: Self-assessment & declaration to the DMPs

 

Please indicate which principles you are conformant with:

Data and all associated metadata will be discoverable, through catalogues and search engines, and data access and use conditions, including licenses, will be clearly indicated.
DMP-1: Metadata for Discovery. Data and all associated metadata will be discoverable, through catalogues and search engines, and data access and use conditions, including licenses, will be clearly indicated. DMP-2: Online Access. Data will be accessible via online services, including, at a minimum, direct download but preferably user-customizable services for access, visualization and analysis. DMP-3: Data Encoding. Data should be structured using encodings that are widely accepted in the target user community and aligned with organizational needs and observing methods, with preference given to non-proprietary international standards. DMP-4: Data Documentation. Data will be comprehensively documented, including all elements necessary to access, use, understand, and process, preferably via formal structured metadata based on international or community-approved standards. To the possible extent, data will be described in peer-reviewed publications referenced in metadata records. DMP-5: Data Traceability. Data will include provenance metadata indicating the origin and processing history of raw observations and derived products, to ensure full traceability of the product chain. DMP-6: Data Quality-Control. Data will be quality-controlled and the results of quality control shall be indicated in metadata; data made available in advance of quality control will be flagged in metadata as unchecked. DMP-7: Data Preservation. Data will be protected from loss and preserved for future use; preservation planning will be for the long term and include guidelines for loss prevention, retention schedules, and disposal or transfer procedures DMP-8: Data and Metadata Verification. Data and associated metadata held in data management systems will be periodically verified to ensure integrity, authenticity and readability. DMP-9: Data Review and Reprocessing. Data will be managed to perform corrections and updates in accordance with reviews, and to enable reprocessing as appropriate; where applicable this shall follow established and agreed procedures. DMP-10: Persistent and Resolvable Identifiers. Data will be assigned appropriate persistent, unique and resolvable identifiers to enable documents to cite the data on which they are based and to enable data providers to receive acknowledgement for use of their data. DMP Data Branding self-assessment

Data will be accessible via online services, including, at a minimum, direct download but preferably user-customizable services for access, visualization and analysis.

Data should be structured using encodings that are widely accepted in the target user community and aligned with organizational needs and observing methods, with preference given to non-proprietary international standards.

Data will be comprehensively documented, including all elements necessary to access, use, understand, and process, preferably via formal structured metadata based on international or community-approved standards. To the possible extent, data will be described in peer-reviewed publications referenced in metadata records.

Data will include provenance metadata indicating the origin and processing history of raw observations and derived products, to ensure full traceability of the product chain.

Data will be quality-controlled and the results of quality control shall be indicated in metadata; data made available in advance of quality control will be flagged in metadata as unchecked.

Data will be protected from loss and preserved for future use; preservation planning will be for the long term and include guidelines for loss prevention, retention schedules, and disposal or transfer procedures.

Data and associated metadata held in data management systems will be periodically verified to ensure integrity, authenticity and readability.

Data will be managed to perform corrections and updates in accordance with reviews, and to enable reprocessing as appropriate; where applicable this shall follow established and agreed procedures.

Data will be assigned appropriate persistent, unique and resolvable identifiers to enable documents to cite the data on which they are based and to enable data providers to receive acknowledgement for use of their data.
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