Response Oil Assay Working Group 4: Data Model

Proposed Activities:

Guided by the data defined by Working Group 1 (Defining the Response oIl Assay), this group will work to define the data model for an oil record: “A data model is an abstract model that organizes elements of data and standardizes how they relate to one another and to the properties of real-world entities”. In this case, the data model will define what information is required for each property measured for an oil, and what metadata is required for the record as a whole. The data model is distinct from the format used to manage the data; one of the reasons for defining a data model is to allow interoperability: the same information can be stored (or exchanged) in CSV files, XML, JSON, etc - as long as the information required by the data model is included, then a record in any format should be exchangeable with any other format.

Expected Outcomes:

A document that outlines the data model for the Response OIl Assay, including examples in the JSON format (and maybe others). With this document, a lab or data provider should be able to provide the full information required to provide a Response Oil Assay Record.

Final outcome documents:

 Pending

 Participants in Working Group 4:

Chris Barker NOAA OR&R ERD, Project Lead

Nancy Kinner, Coastal REsponse Research Center

Carl Childs, NOAA OR&R ERD

David Cooper, SL Ross Environmental Research Ltd

Anusha Dissanayake, SINTEF

Bruce Hollebone, Environment and Climate Change Canada

Deborah French McCay, RPS

Aurelien Hospital, Tetra Tech Canada

Lindsey Gilman, Exponent

Guillaume Marcotte, Environment and  Climate Change Canada

Haibo Niu, Dalhousie University

Alexander Sousa, RPS

Ben Shorr, NOAA OR&R SDB

Baiyu (Helen) Zhang, Memorial University