The rise of digitalization, sensory devices, cloud computing and internet of things (IoT) technologies enables the design of novel digital product lifecycle management (DPLM) applications for use cases such as manufacturing and delivery of digital products. The verification of the accomplishment/violations of agreements defined in digital contracts is a key task in digital business transactions. However, this verification represents a challenge when validating both the integrity of digital product content and the transactions performed during multiple stages of the DPLM. This paper presents a traceability method for DPLM based on the integration of online and offline verification mechanisms based on blockchain and fingerprinting, respectively. A blockchain lifecycle registration model is used for organizations to register the exchange of digital products in the cloud with partners and/or consumers throughout the DPLM stages as well as to verify the accomplishment of agreements at each DPLM stage. The fingerprinting scheme is used for offline verification of digital product integrity and to register the DPLM logs within digital products, which is useful in either dispute or violation of agreements scenarios. We built a DPLM service prototype based on this method, which was implemented as a cloud computing service. A case study based on the DPLM of audios was conducted to evaluate this prototype. The experimental evaluation revealed the ability of this method to be applied to DPLM in real scenarios in an efficient manner.

The Edge-Fog-Cloud architecture optimizes distributed data processing by integrating computing from data acquisition to results visualization. Given the need to select appropriate technologies for its design and implementation, especially in agriculture, this research proposes a method for building such systems. This method facilitates the choice of techniques and technologies based on contextual needs, allowing for updates without altering the overall solution. A prototype developed for the Regenerative Agriculture Center of La Huasteca aims to optimize crop data management, demonstrating the method's potential to improve decision-making and quality. This initiative is part of the Tec Huasteca Potosina Node for the Promotion of the Social and Solidarity Economy, fostering regional territorial development.

As a member of the North American Free Trade Agreement, the Mexican Ministry of Environment and Natural Resources publishes the Pollutant Releases and Transfers Registry of Substances annually, in accordance with the Official Mexican Norm Standard NOM-165-Semarnat-2013. This registry comprises 19 datasets (one per year, from 2004 to 2022). These have not preserved the same structure and categorical values, making it difficult to avoid their fusion with other datasets and conduct exploratory studies. These datasets contain (a)data on substances released and transferred to the environment and (b) data on producer facilities. They do not include additional data to make any other kind of query. Users must create adapted versions of these datasets while achieving isolated analyses. This paper describes a method for integrating the Pollutant Release and Transfer Registry dataset, enhanced with facilities data and cancer classification from the International Agency for Research on Cancer, to produce an improved and augmented public data source for academic or research purposes. The obtained database contains geospatial information, which enabled us to analyze the dataset at the state or municipal level to create digital products that can be used to inform decisions about environmental pollution.