references.bib

---
---

@Inbook{Curry2021,
author="Curry, Edward
and Metzger, Andreas
and Zillner, Sonja
and Pazzaglia, Jean-Christophe
and Garc{\'i}a Robles, Ana
and Hahn, Thomas
and Le Bars, Laure
and Petkovic, Milan
and De Lama, Nuria",
editor="Curry, Edward
and Metzger, Andreas
and Zillner, Sonja
and Pazzaglia, Jean-Christophe
and Garc{\'i}a Robles, Ana",
title="The European Big Data Value Ecosystem",
bookTitle="The Elements of Big Data Value: Foundations of the Research and Innovation Ecosystem",
year="2021",
publisher="Springer International Publishing",
address="Cham",
pages="3--19",
abstract="The adoption of big data technology within industrial sectors facilitates organizations to gain competitive advantage. The impacts of big data go beyond the commercial world, creating significant societal impact, from improving healthcare systems to the energy-efficient operation of cities and transportation infrastructure, to increasing the transparency and efficiency of public administration. In order to exploit the potential of big data to create value for society, citizens and businesses, Europe needs to embrace new technology, applications, use cases and business models within and across various sectors and domains. In the early part of the 2010s, a clear strategy centring around the notion of the European Big Data Value Ecosystem started to take form with the aim of increasing the competitiveness of European industries through a data ecosystem which tackles the fundamental elements of big data value, including the ecosystem, research and innovation, business, policy and regulation, and the emerging elements of data-driven AI and common European data spaces. This chapter describes the big data value ecosystem and its strategic importance. It details the challenges of creating this ecosystem and outlines the vision and strategy of the Big Data Value Public-Private Partnership and the Big Data Value Association, which together formed the core of the ecosystem, to make Europe the world leader in the creation of big data value. Finally, it details the elements of big data value which were addressed to realise this vision.",
isbn="978-3-030-68176-0",
doi="10.1007/978-3-030-68176-0_1",
url="https://doi.org/10.1007/978-3-030-68176-0_1"
}

@misc{249226,
  author = {Wo Chang and Nancy Grady},
  title = {NIST Big Data Interoperability Framework: Volume 1, Definitions},
  year = {2019},
  month = {2019-10-21},
  publisher = {Special Publication (NIST SP), National Institute of Standards and Technology, Gaithersburg, MD},
  doi = {https://doi.org/10.6028/NIST.SP.1500-1r2},
  language = {en},
}

@Inbook{Skiena2017,
author="Skiena, Steven S.",
title="What is Data Science?",
bookTitle="The Data Science Design Manual",
year="2017",
publisher="Springer International Publishing",
address="Cham",
pages="1--25",
abstract="What is data science? Like any emerging field, it hasn't been completely defined yet, but you know enough about it to be interested or else you wouldn't be reading this book.",
isbn="978-3-319-55444-0",
doi="10.1007/978-3-319-55444-0_1",
url="https://doi.org/10.1007/978-3-319-55444-0_1"
}

@Inbook{Turkington2013,
author="Turkington, Garry.",
title="Hadoop Beginner's Guide",
bookTitle="Hadoop Beginner's Guide",
year="2013",
publisher="Packt Publishing",
isbn="978-1-84951-7-300"
}

@Inbook{Kubat2017,
author="Kubat, Miroslav",
title="A Simple Machine-Learning Task",
bookTitle="An Introduction to Machine Learning",
year="2017",
publisher="Springer International Publishing",
address="Cham",
pages="1--18",
abstract="You will find it difficult to describe your mother's face accurately enough for your friend to recognize her in a supermarket. But if you show him a few of her photos, he will immediately spot the tell-tale traits he needs. As they say, a picture---an example---is worth a thousand words.",
isbn="978-3-319-63913-0",
doi="10.1007/978-3-319-63913-0_1",
url="https://doi.org/10.1007/978-3-319-63913-0_1"
}

@Inbook{Dumbill2012,
author="Dumbill, Edd.",
title="Planning for Big Data: A CIO's Handbook to the Changing Data Landscape",
bookTitle="Planning for Big Data",
year="2012",
publisher="O’Reilly Media, Inc.",
isbn="978-1-449-32967-9"
}

@misc{eswiki:154154961,
author = "Wikipedia",
title = "Ciencia de datos --- Wikipedia{,} La enciclopedia libre",
year = "2023",
url = "https://es.wikipedia.org/w/index.php?title=Ciencia_de_datos&oldid=154154961",
note = "[Internet; descargado 29-septiembre-2023]"
}

@ARTICLE{Shearer2000-jz,
  title   = "The {CRISP-DM} Model: The New Blueprint for Data Mining",
  author  = "Shearer, C",
  journal = "Journal of Data Warehousing",
  volume  =  "5",
  pages   = "13--22",
  year    =  "2000"
}