CSA TS-104:26

Description

Preface This is the first edition of CSA TS-104, Data sourcing protocol for agri-food performance — Part 2: Data quality rating method . This Technical Specification (referred to as “this Document” from here on) provides criteria and a qualitative rating method to evaluate the quality of datasets for the National Index on Agri-Food Performance and across the Canadian agri-food ecosystem. It supports the evaluation of dataset quality using consistently described metadata for agri-food datasets, as defined in CSA TS-103, and is aligned with the data governance practices outlined in CSA TS-105. This Document is not a Standard and has not been formally approved by a CSA Technical Committee. CSA Group acknowledges that the development of this Document was made possible, in part, by the financial support of the Standards Council of Canada. This Document was prepared by the Development Subcommittee on Data Quality Rating Method, under the jurisdiction of the Data Sourcing Protocol Development Committee, and has been reviewed by the Development Committee. Scope 1.1 Purpose This Document establishes a set of criteria to inform evaluation of the quality and suitability of datasets for the intended users. It is intended to provide a transparent methodology to assess the quality of datasets in relation to the intended purposes of the user. The methodology serves as a tool for the user to do the following: a) assess data suitability — existence of data alone does not guarantee that data is a suitable candidate for what the user needs data for. In this way, the user drives the data, not the other way around; b) apply structured criteria — i.e., use a consistent approach to vet submitted data and evaluate its quality for inclusion; and c) recognize sector diversity — acknowledge and assess the varied data management practices across the agri-food sector while supporting ongoing improvements in data governance and use. 1.2 Inclusions This Document applies to the Centre for Agri-Food Benchmarking while identifying datasets for users and any stakeholder recognized as a trusted data provider. It covers data related to the entire agriculture and agri-food system, encompassing the full food supply chain, from primary agricultural production (including livestock, aquaculture, and agroforestry) through processing, distribution, and retail sectors. 1.3 Exclusions Other users (see Clause 0.3) might benefit from using these data quality rating criteria, but they are excluded from mandatory requirements. This Document also does not apply to data on consumers of agri-food products. 1.4 Terminology In this Document, “shall” is used to express a requirement, i.e., a provision that the user is obliged to satisfy in order to comply with the Document; “should” is used to express a recommendation or that which is advised but not required; and “may” is used to express an option or that which is permissible within the limits of the Document. Notes accompanying clauses do not include requirements or alternative requirements; the purpose of a note accompanying a clause is to separate from the text explanatory or informative material. Notes to tables and figures are considered part of the table or figure and may be written as requirements. Annexes are designated normative (mandatory) or informative (non-mandatory) to define their application.