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In synthesis, TIA methodologies are thematically holistic and multi-dimensional and require the analysis of a wide pool of data, not only of economic character but also related with social, environmental, governance and planning processes, in all territorial scales. For that, TIA requires a wealth of comparable and updated territorialised data. Here, data availability is often scarce in many of the selected analytic dimensions and respective components, to assess territorial impacts in a given territory, in particular in the domains of governance, planning and environment. In this context, this chapter presents a list of non-traditional potential indicators which can be used in existing TIA methodologies. Moreover, the analysis was able to show how important can be the use of non-traditional data, to complement mainstream statistical indicators associated with socioeconomic development trends. However, for the interested scientist, the dispersal of existing non-traditional data per a multitude of sources can pose a huge challenge. Hence the need of an online platform which centralises and updates non-traditional data for the use of all interested in implementing TIA methodologies.<\/jats:p>","DOI":"10.1007\/978-3-031-16624-2_9","type":"book-chapter","created":{"date-parts":[[2023,1,23]],"date-time":"2023-01-23T16:35:16Z","timestamp":1674491716000},"page":"177-194","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":3,"title":["Data and Modelling for the Territorial Impact Assessment (TIA) of Policies"],"prefix":"10.1007","author":[{"given":"Eduardo","family":"Medeiros","sequence":"first","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2023,1,24]]},"reference":[{"key":"9_CR1","doi-asserted-by":"publisher","first-page":"532","DOI":"10.1016\/j.procs.2015.07.247","volume":"56","author":"B Akhmetov","year":"2015","unstructured":"Akhmetov, B., & Aitimov, M. (2015). 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