Development of the Canadian agri-food lifecycle data centre with data format interoperability requirements
department or school: Science, Irving K. Barber Faculty of (Okanagan)
department or school: Computer Science, Mathematics, Physics and Statistics, Department of (Okanagan)
data provider: DSpace
degree campus: UBCO
creator: Fritter, Matthew Stanley
issued: 2020-08-14T20:59:01Z
issued: 2020
related degree: Master of Science - MSc
degree grantor: University of British Columbia
description: The field of Life Cycle Assessment (LCA) models the resource flows and emissions characteristic of real-world industrial, agricultural, and economic activities through the use of Life Cycle Inventory (LCI) datasets. As the amount of data available to LCA practitioners through national and commercial database initiatives increases, there have been growing concerns within the LCA community regarding the interoperability of LCI data. Choice of data format and nomenclature poses problems for re-usability, as a dataset may not cleanly integrate into an LCA model due to differences in nomenclature, or a practitioner’s LCA software may simply not recognize the format type. This interoperability has been identified as one of the largest problems, along with data availability, in the LCA field. The focus of this research was the development of a new national Life Cycle Inventory database: The Canadian Agri-food Life Cycle Data Center (CALDC), which will serve as a central repository for Canadian agri-food data. During the course of the research, information was solicited from existing LCA database providers to inform development, and potential solutions for the interoperability issues were researched and implemented within the CALDC. The development included a searchable public database repository, as well as a web application that allows users to create, modify, and publish new LCI datasets, known as SimpLCIty. A set of recommendations were drafted for new LCI database initiatives, with the goal of increasing the interoperability between databases and datasets and increasing the availability of data. These recommendations were used in the development of the CALDC, and also present potential future avenues for expansion and development, such as the implementation of Application Programming Interfaces (APIs) or the re-distribution of datasets through third-party data providers and initiatives. The Canadian Agri-food Life Cycle Data Centre is now live, and is currently being u…
aggregated CHO: https://circle.library.ubc.ca/rest/handle/2429/75546
note: Development of the CanadianAgri-food Lifecycle Data Centre withData Format InteroperabilityRequirementsbyMatthew Stanley FritterB.A., The University of British Columbia, 2017A THESIS SUBMITTED IN PARTIAL FULFILLMENT OFTHE REQUIREMENTS FOR THE DEGREE OFMASTER OF SCIENCEinTHE COLLEGE OF GRADUATE STUDIES(Computer Science)THE UNIVERSITY OF BRITISH COLUMBIA(Okanagan)August 2020© Matthew Stanley Fritter, 2020The following individuals certify that they have read, and recommendto the College of Graduate Studies for acceptance, a thesis/dissertation en-titled:Development of the Canadian Agri-food Lifecycle DataCentre with Data Format Interoperability Requirementssubmitted by Matthew Stanley Fritter in partial fulfilment of the re-quirements of the degree of Master of ScienceDr. Nathan Pelletier, I. K. Barber School of Arts & Sciences, Faculty of ManagementSupervisorDr. Ramon Lawrence, I. K. Barber School of Arts & SciencesCo-SupervisorDr. Yves Lucet, I. K. Barber School of Arts & SciencesSupervisory Committee MemberDr. Barb Marcolin, Faculty of ManagementSupervisory Committee MemberDr. Ying Zhu, Faculty of ManagementUniversity ExamineriiAbstractThe field of Life Cycle Assessment (LCA) models the resource flowsand emissions characteristic of real-world industrial, agricultural, and eco-nomic activities through the use of Life Cycle Inventory (LCI) datasets.As the amount of data available to LCA practitioners through nationaland commercial database initiatives increases, there have been growing con-cerns within the LCA community regarding the interoperability of LCI data.Choice of data format and nomenclature poses problems for re-usability, asa dataset may not cleanly integrate into an LCA model due to differencesin nomenclature, or a practitioner’s LCA software may simply not recog-nize the format type. This interoperability has been identified as one of thelargest problems, along with data availability, in the LCA field.The focus of this research was the development of a ne…
has type: Thesis/Dissertation
date issued: 2020-09
is shown at: 10.14288/1.0392794
language: eng
degree discipline: Computer Science
provider: Vancouver : University of British Columbia Library
publisher: University of British Columbia
rights: Attribution-NonCommercial-NoDerivatives 4.0 International
rights URI: http://creativecommons.org/licenses/by-nc-nd/4.0/
scholar level: Graduate
type: Text
identifier URI: http://hdl.handle.net/2429/75546