One of the problems when working with data is the lack of uniformity in the criteria for their collection, which makes their reuse difficult if not impossible. Data collection and standardization protocols must be clear. This problem has been seen in the global pandemic caused by Covid-19, in which uniform data have been urgently needed to make rapid decisions and keep the population informed. The difficulties of creating a portal that analyzes the evolution of the data on the pandemic in Spain are discussed. CovidDATA-19 is an open data website that features interactive visualizations and allows filtered data to be downloaded according to the user’s choices. Its development as highlighted the scarcity of easily reusable official sources and the fragility of trust in such data during this crisis. Resumen Uno de los problemas al trabajar con datos es la falta de uniformidad en los criterios de su recogida, lo que hace que la reutilización sea difícil, cuando no imposible. Deben tenerse claros los protocolos de recolección y estandarización de los datos. Este hecho se ha podido constatar en la situación de pandemia global provocada por la Covid-19, en la que se han necesitado con urgencia datos uniformes para tomar decisiones rápidas y mantener informada a la población. En este trabajo se observan las dificultades para crear un portal que analiza la evolución de los datos de la pandemia en España. CovidDATA-19 es una web de datos abiertos que presenta visualizaciones interactivas y permite descargar los datos filtrados según las elecciones del usuario. En su creación se ha puesto de manifiesto la escasez de fuentes oficiales fácilmente reutilizables y la fragilidad de la confianza en los datos en estos momentos de crisis.

We present a new class of Lipschitz operators on Euclidean lattices that we call lattice Lipschitz maps, and we prove that the associated McShane and Whitney formulas provide the same extension result that holds for the real valued case. Essentially, these maps satisfy a (vector-valued) Lipschitz inequality involving the order of the lattice, with the peculiarity that the usual Lipschitz constant becomes a positive real function. Our main result shows that, in the case of Euclidean space, being lattice Lipschitz is equivalent to having a diagonal representation, in which the coordinate coefficients are real-valued Lipschitz functions. We also show that in the linear case the extension of a diagonalizable operator from the values in their eigenvectors coincide with the operator obtained both from the McShane and the Whitney formulae. Our work on such extension/representation formulas is intended to follow current research on the design of machine learning algorithms based on the extension of Lipschitz functions.