Overview of the Security Components of INDECT Project

Enhancing environmental management through big data: spatial analysis of urban ecological governance and big data development

“…The National Institute of Standards and Technology (NIST) in the United States delineates big data with three defining characteristics: 'Volume' (enormous scale), 'Velocity' (swift access and analysis), and 'Variety' (extensive range of data types and sources) (Executive Office of the President, 2014). The exponential growth of big data technology, expanding nearly tenfold every 5 years (Hendrickson, 2010), has catalyzed its application across a wide spectrum of fields, including environmental governance (Zhang et al, 2017;Zhang et al, 2018), government administration (Stoianov et al, 2015), healthcare systems (Kankanhalli et al, 2016), and retail (Schmarzo, 2013). Furthermore, the burgeoning potential of big data applications has prompted numerous countries to prioritize its development, as evidenced by initiatives like the United States' $200 million investment in big data research and development in 2012 (NSF, 2012) and Japan's strategic emphasis on big data technology (Li, 2015).…”

“…The widespread application of big data across diverse fields (Oussous et al, 2018) showcases its potential to scientifically guide the adjustment and development of urban industrial structures. The beneficial impacts of big data are evident in sectors including environmental governance (Zhang et al, 2017;Zhang et al, 2018), government administration (Stoianov et al, 2015), healthcare systems (Kankanhalli et al, 2016), and retail (Schmarzo, 2013). Through the analysis of relevant data, governments can pinpoint industries that utilize resources efficiently and identify those that contribute significantly to environmental degradation.…”