ARPHA Preprints, doi: 10.3897/arphapreprints.e115384
D2.3 Dashboard design prototype
Cristina Domingo-Marimon‡, Joan Masó Pau‡, Guy Ziv§, Jodi Gunning§‡ CREAF, Bellaterra, Spain§ University of Leeds, Leeds, United Kingdom
Corresponding author: Cristina Domingo-Marimon ( cristina.domingo@uab.cat ) © Cristina Domingo-Marimon, Joan Masó Pau, Guy Ziv, Jodi Gunning. This is an open access preprint distributed under the terms of the Creative Commons Attribution License (CC BY 4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Citation:
Domingo-Marimon C, Masó Pau J, Ziv G, Gunning J (2023) D2.3 Dashboard design prototype. ARPHA Preprints. https://doi.org/10.3897/arphapreprints.e115384 |  |
Abstract
Dashboards for data visualisation and decision-making are information management tools that visually display, analyse and provide metrics of data, for better decisions and understanding improvement.
Dashboards provide critical reporting of spatialised data and associated metrics information and are essential for displaying model results, guiding decisions and better navigating the landscape. The main aim of the dashboards is to quickly gain insights into the most relevant results of the data displayed. The main added value for users is that information is transformed into knowledge which is useful for decisions on policy making.
Dashboards provide critical reporting of spatialised data and associated metrics information and are essential for displaying model results, guiding decisions and better navigating the landscape. The main aim of the dashboards is to quickly gain insights into the most relevant results of the data displayed. The main added value for users is that information is transformed into knowledge which is useful for decisions on policy making.
Keywords
decision-making, policy, landscape, knowledge-exchange