Item talk:Q56785: Difference between revisions

From geokb
(Added abstract and other texts to publication item's discussion page for reference)
 
(Wrote fresh schema.org document to item wiki page)
Line 1: Line 1:
= Community for Data Integration 2018 annual report =
{"@context": "https://schema.org", "@type": "CreativeWork", "additionalType": "USGS Numbered Series", "name": "Community for Data Integration 2018 annual report", "identifier": [{"@type": "PropertyValue", "propertyID": "USGS Publications Warehouse IndexID", "value": "ofr20191123", "url": "https://pubs.usgs.gov/publication/ofr20191123"}, {"@type": "PropertyValue", "propertyID": "USGS Publications Warehouse Internal ID", "value": 70206400}, {"@type": "PropertyValue", "propertyID": "DOI", "value": "10.3133/ofr20191123", "url": "https://doi.org/10.3133/ofr20191123"}], "inLanguage": "en", "isPartOf": [{"@type": "CreativeWorkSeries", "name": "Open-File Report"}], "datePublished": "2019", "dateModified": "2020-01-06", "abstract": "The Community for Data Integration (CDI) is a community of practice whose purpose is to build the U.S. Geological Survey knowledge base in data integration. This annual report describes the various presentations, activities, and outcomes of the CDI monthly forums, working groups, trainings, and other CDI-sponsored events in fiscal year 2018. The report also describes the objectives of the 10 CDI-funded projects for the year. The CDI had a topical theme for fiscal year 2018\u2014Risk assessment and hazards vulnerability in support of integrated predictive science capacity. This report describes how the community coordinated its activities around this theme.", "description": "v, 26 p.", "publisher": {"@type": "Organization", "name": "U.S. Geological Survey"}, "author": [{"@type": "Person", "name": "Hsu, Leslie lhsu@usgs.gov", "givenName": "Leslie", "familyName": "Hsu", "email": "lhsu@usgs.gov", "identifier": {"@type": "PropertyValue", "propertyID": "ORCID", "value": "0000-0002-5353-807X", "url": "https://orcid.org/0000-0002-5353-807X"}, "affiliation": [{"@type": "Organization", "name": "Core Science Analytics and Synthesis", "url": "https://www.usgs.gov/programs/science-analytics-and-synthesis-sas"}]}, {"@type": "Person", "name": "Colasuonno, Leah", "givenName": "Leah", "familyName": "Colasuonno", "identifier": {"@type": "PropertyValue", "propertyID": "ORCID", "value": "0000-0001-8880-0093", "url": "https://orcid.org/0000-0001-8880-0093"}, "affiliation": [{"@type": "Organization", "name": "Core Science Analytics and Synthesis", "url": "https://www.usgs.gov/programs/science-analytics-and-synthesis-sas"}]}], "funder": [{"@type": "Organization", "name": "Core Science Analytics and Synthesis", "url": "https://www.usgs.gov/programs/science-analytics-and-synthesis-sas"}]}
The Community for Data Integration (CDI) is a community of practice whose purpose is to build the U.S. Geological Survey knowledge base in data integration. This annual report describes the various presentations, activities, and outcomes of the CDI monthly forums, working groups, trainings, and other CDI-sponsored events in fiscal year 2018. The report also describes the objectives of the 10 CDI-funded projects for the year. The CDI had a topical theme for fiscal year 2018—Risk assessment and hazards vulnerability in support of integrated predictive science capacity. This report describes how the community coordinated its activities around this theme.
 
== Table of Contents ==
* Abstract
* Introduction
* Monthly Forums
* Collaboration Areas
* Special Events and Training
* Risk Theme
* Annual Community for Data Integration Request for Proposals
* Community for Data Integration Projects
* Summary—Building an Integrated Predictive Science Capacity
* References Cited
* Glossary
* Appendix 1. Presentations and Speakers

Revision as of 19:14, 15 July 2024

{"@context": "https://schema.org", "@type": "CreativeWork", "additionalType": "USGS Numbered Series", "name": "Community for Data Integration 2018 annual report", "identifier": [{"@type": "PropertyValue", "propertyID": "USGS Publications Warehouse IndexID", "value": "ofr20191123", "url": "https://pubs.usgs.gov/publication/ofr20191123"}, {"@type": "PropertyValue", "propertyID": "USGS Publications Warehouse Internal ID", "value": 70206400}, {"@type": "PropertyValue", "propertyID": "DOI", "value": "10.3133/ofr20191123", "url": "https://doi.org/10.3133/ofr20191123"}], "inLanguage": "en", "isPartOf": [{"@type": "CreativeWorkSeries", "name": "Open-File Report"}], "datePublished": "2019", "dateModified": "2020-01-06", "abstract": "The Community for Data Integration (CDI) is a community of practice whose purpose is to build the U.S. Geological Survey knowledge base in data integration. This annual report describes the various presentations, activities, and outcomes of the CDI monthly forums, working groups, trainings, and other CDI-sponsored events in fiscal year 2018. The report also describes the objectives of the 10 CDI-funded projects for the year. The CDI had a topical theme for fiscal year 2018\u2014Risk assessment and hazards vulnerability in support of integrated predictive science capacity. This report describes how the community coordinated its activities around this theme.", "description": "v, 26 p.", "publisher": {"@type": "Organization", "name": "U.S. Geological Survey"}, "author": [{"@type": "Person", "name": "Hsu, Leslie lhsu@usgs.gov", "givenName": "Leslie", "familyName": "Hsu", "email": "lhsu@usgs.gov", "identifier": {"@type": "PropertyValue", "propertyID": "ORCID", "value": "0000-0002-5353-807X", "url": "https://orcid.org/0000-0002-5353-807X"}, "affiliation": [{"@type": "Organization", "name": "Core Science Analytics and Synthesis", "url": "https://www.usgs.gov/programs/science-analytics-and-synthesis-sas"}]}, {"@type": "Person", "name": "Colasuonno, Leah", "givenName": "Leah", "familyName": "Colasuonno", "identifier": {"@type": "PropertyValue", "propertyID": "ORCID", "value": "0000-0001-8880-0093", "url": "https://orcid.org/0000-0001-8880-0093"}, "affiliation": [{"@type": "Organization", "name": "Core Science Analytics and Synthesis", "url": "https://www.usgs.gov/programs/science-analytics-and-synthesis-sas"}]}], "funder": [{"@type": "Organization", "name": "Core Science Analytics and Synthesis", "url": "https://www.usgs.gov/programs/science-analytics-and-synthesis-sas"}]}