Data Citation as a ServiceLynn Yarmey – UCAR Data Citation Workshop – April 5-6, 2012
Background  •  Conversation started in the context of defining     ‘Levels of Service’ for ACADIS data             Lynn Ya...
Background (overly simplified)   •  Conversation started in the context of defining      ‘Levels of Service’ for ACADIS da...
Background (overly simplified)   •  Conversation started in the context of defining      ‘Levels of Service’ for ACADIS da...
Data Service Packages   •    Planning and collection   •    Discovery   •    Distribution   •    Readability/Reuse   •    ...
But…  •    Planning and collection  •    Discovery  •    Distribution  •    Readability/Reuse  •    Archiving  •    Visual...
Approach       Disambiguate	          	‘Data Citation’	          	   	and	          	   	    	‘Data Service’	           Ly...
Approach                  ‘Data Citation’	           Citation Metadata 	 Access Mechanism	                              + ...
Defined needs for data citations   •  Data Locator   •  Mechanism for professional recognition        §  Claiming attribu...
Generalized User Communities   •  Data Authors/Submitters      §  Mechanism for professional recognition      §  Connect...
Bringing these together…(work in progress!)   Service Packages	                                             User Needs	   ...
Implications   •  Where in the data workflow citation/persistent      identifier are applied   •  The granularity of citat...
Short-term steps for ACADIS  •  Collect citation metadata  •  Enact data versioning  •  Distinguish citation recommendatio...
Short-term steps for ACADIS  •  …  •  Separate application of citations vs. identifiers     §  Citations applied to all s...
DependencyWhat are the Service and User Community     priorities for the organization?             Lynn Yarmey – UCAR Data...
Taking a step backWhat are the Service and User Community     priorities for the organization?    Should every service cen...
Even furtherWhat are the Service and User Community     priorities for the organization?    Should every service center be...
Thank You!        Special thanks to: 	              	Mark Parsons, Matt Mayernik, and 	              	      	the ACADIS te...
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  1. 1. Data Citation as a ServiceLynn Yarmey – UCAR Data Citation Workshop – April 5-6, 2012
  2. 2. Background •  Conversation started in the context of defining ‘Levels of Service’ for ACADIS data Lynn Yarmey – UCAR Data Citation Workshop – April 5-6, 2012 Program Logo
  3. 3. Background (overly simplified) •  Conversation started in the context of defining ‘Levels of Service’ for ACADIS data Approach for prescribing services for incoming data sets given the assumption that these data sets do not have the same needs, resources, and user communities. Lynn Yarmey – UCAR Data Citation Workshop – April 5-6, 2012 Program Logo
  4. 4. Background (overly simplified) •  Conversation started in the context of defining ‘Levels of Service’ for ACADIS data Advanced Cooperative Arctic Data and Information Service – A collaborative (NSIDC, NCAR-CISL, NCAR-EOL, Unidata) data service project to support the collection, description, distribution, and archiving of NSF-funded Arctic research data. Lynn Yarmey – UCAR Data Citation Workshop – April 5-6, 2012 Program Logo
  5. 5. Data Service Packages •  Planning and collection •  Discovery •  Distribution •  Readability/Reuse •  Archiving •  Visualization •  Interoperability Lynn Yarmey – UCAR Data Citation Workshop – April 5-6, 2012 Program Logo
  6. 6. But… •  Planning and collection •  Discovery •  Distribution •  Readability/Reuse •  Archiving •  Visualization •  Interoperability Where does data citation fit? Lynn Yarmey – UCAR Data Citation Workshop – April 5-6, 2012 Program Logo
  7. 7. Approach Disambiguate ‘Data Citation’ and ‘Data Service’ Lynn Yarmey – UCAR Data Citation Workshop – April 5-6, 2012 Program Logo
  8. 8. Approach ‘Data Citation’ Citation Metadata Access Mechanism + ‘Data Service’ Defined Need + User Community Lynn Yarmey – UCAR Data Citation Workshop – April 5-6, 2012 Program Logo
  9. 9. Defined needs for data citations •  Data Locator •  Mechanism for professional recognition §  Claiming attribution •  Tracking reuse statistics (metrics) •  Following citations (chaining) •  Connect data and resulting scholarship •  Referencing data used in support of scholarship §  Supporting reproducibility •  Assurance of long-term support (?) Lynn Yarmey – UCAR Data Citation Workshop – April 5-6, 2012 Program Logo
  10. 10. Generalized User Communities •  Data Authors/Submitters §  Mechanism for professional recognition §  Connecting data and resulting scholarship §  Following citations (chaining) §  Assurance of long-term support (?) •  Data Reusers/Downloaders §  Data Locator §  Specifying data used in support of scholarship §  Following citations (chaining) Lynn Yarmey – UCAR Data Citation Workshop – April 5-6, 2012 Program Logo
  11. 11. Bringing these together…(work in progress!) Service Packages User Needs Data LocatorPlanning and collection Claiming attributionDiscovery Tracking reuse statisticsDistribution Following citationsReadability/Reuse Connect data and resultingArchiving scholarship Referencing data used in supportVisualization of scholarshipInteroperability Supporting reproducibility Assurance of long-term support Lynn Yarmey – UCAR Data Citation Workshop – April 5-6, 2012 Program Logo
  12. 12. Implications •  Where in the data workflow citation/persistent identifier are applied •  The granularity of citation application •  The object defined for persistent identification •  Workflow for citation assignment •  Roles §  What is the role of the PI/data author? §  What are the roles and responsibilities for data service groups? o  What expertise is required to fulfill these? Lynn Yarmey – UCAR Data Citation Workshop – April 5-6, 2012 Program Logo
  13. 13. Short-term steps for ACADIS •  Collect citation metadata •  Enact data versioning •  Distinguish citation recommendations and assignment §  We can recommend citations for all data sets (we have the metadata!) §  But we will only assign citations to data sets with data submitted (proposed) §  … Lynn Yarmey – UCAR Data Citation Workshop – April 5-6, 2012 Program Logo
  14. 14. Short-term steps for ACADIS •  … •  Separate application of citations vs. identifiers §  Citations applied to all submitted data sets and not to metadata-only data sets §  Persistent identifiers applied to approved data sets (AKA: “roughly stable,” “good” data sets) •  Be clear about this with data submitters and users Lynn Yarmey – UCAR Data Citation Workshop – April 5-6, 2012 Program Logo
  15. 15. DependencyWhat are the Service and User Community priorities for the organization? Lynn Yarmey – UCAR Data Citation Workshop – April 5-6, 2012 Program Logo
  16. 16. Taking a step backWhat are the Service and User Community priorities for the organization? Should every service center be meeting every need and/or offering every service? Lynn Yarmey – UCAR Data Citation Workshop – April 5-6, 2012 Program Logo
  17. 17. Even furtherWhat are the Service and User Community priorities for the organization? Should every service center be meeting every need and/or offering every service? Might a metadata model be helpful? Lynn Yarmey – UCAR Data Citation Workshop – April 5-6, 2012 Program Logo
  18. 18. Thank You! Special thanks to: Mark Parsons, Matt Mayernik, and the ACADIS team! Visit ACADIS: aoncadis.org Visit the Arctic Portal: coming soon! Contact me: lynn.yarmey@colorado.edu Lynn Yarmey – UCAR Data Citation Workshop – April 5-6, 2012 Program Logo

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