As the US2TS program indicates, beginning at 10:30am on Friday in East Lansing Michigan, three Food & Health sessions will take a deep dive into the field-level agricultural modelling and biosample contextual data required for research along the farm-to-fork nutritional landscape. Agriculture (AGRO) and nutrition (CDNO) ontology curators will be present to facilitate discussion and feedback on specification development. Workshop will seek to attain a generic data collection model that is refine-able for domain specific sampling such as fisheries and aquaculture that capture variables such as fish feeding, chemical treatments, etc.
Attendance in person or remotely requires registration at https://us2ts.org/2022/registration . Note that remote participants are not required to pay the on-site conference fee.
Zoom will be at https://msu.zoom.us/j/99774584391
|Schedule||September 30, 2022, Friday, Room 1|
|10:30-12:00 EST||Food & Health I|
Graham King: Introduction and motivation of session
Overview of the process and context for sample collection in support of nutrition research (farm to fork), and the challenge of generalizing e.g. to different pre- and post-harvest sample collection in different AgFood production and supply systems (open field, protected env., soil vs other media, hydroponics, plant, livestock, fishery) defined by specific environments and management practices etc.
Liliana Andres Hernandez: Metrics and methodology
The development of nutritional recorded values, and standards for their collection, as represented in method process pipelines to describe chemical component concentrations. The ontology community /domains needed to support this. Case examples and preliminary analysis for analytical methodologies.
|1:00-2:30 EST||Food & Health II|
Marie Angelique Laporte:
The formalization of plant cultivar production contextual data and their dietary nutritional components should support the analysis of environmental factors’ impact on the nutritional value of food products. Environmental conditions of production (soil quality, soil nutrients availability, fertilizer applications, etc) have indeed an impact on the chemistry of food products. Therefore, an alignment is necessary of contextual data captured during the sampling, measurement and analysis processes that are used in AgFood/Health sector. In addition to documenting the direct metadata of food samples to be analysed, complementary metrics are required to document food production, packaging, and food processing conditions.
|3:00- 4:30 EST||Food & Health III|
Chris Mungall: Soil Biosample Metadata
The National Microbiome Data Collaborative is collecting soil sample microbiome contextual data using the MIxS Soil specification expressed in LinkML, via the https://data.microbiomedata.org/ data portal and ontology-compatible DataHarmonizer spreadsheet tool. A similar approach could power other farm-to-fork nutritional data collection points.