Globalization brings constant challenges for governments, institutions and individuals; and this is where data and information have been acquiring great value as support for decision making. Data quality management aims to establish key processes to implement quality strategies that are articulated with the organizational culture and institutional objectives. Such strategies must be implemented and socialized at all levels in the organizations to ensure their appropriation. In order to propose a methodology based on processes of traceability and audit, for the quality management of the life cycle of the information components of the Agricultural Rural Planning Unit - UPRA, the project is established that starts from a theoretical context focused on concepts associated with digital government and quality management of data and information, giving way to the presentation of UPRA, which as an entity of the public sector has within its mission to strengthen the management of agricultural information in the country. This document presents the diagnosis and analysis of the current situation of the entity, in relation to the quality management of the information components, in order to identify the quality criteria, as well as the necessary guidelines that comply with the defined standards. Likewise, the methodology based on the Planning, Monitoring, Assurance and Improvement (PMAM) processes is presented, as a tool that helps to optimize the traceability and audit of the life cycle quality management of the information components. Finally, the design for the automation of the product generation process is proposed, as an instrument that will help ensure traceability and auditing; the scope of which is validated with its application to one of the information components generated in the planning stage of the production process.