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Conceptual Structures for STEM Data

Linked, Open, Rich and Personal

  • Conference paper
Conceptual Structures for STEM Research and Education (ICCS 2013)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 7735))

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Abstract

Linked and open data is increasing being used by governments, business and administration. Awareness of the affordances and potential utility of open data is being raised by the emergence of a host of web-based and mobile applications.

Across the educational and research communities applications applying the principles linked data principles have emerged.

Systems developed and used by researchers and academics are most likely to be predominantly in the hands of the early adopters and current developments found in higher education tend to be atomized, yet there is potentially considerable advantage in associating and integrating applications for organisational, educational and administrative.

This paper presents an argument for how we can move from early adopters to early majority, and at the same time presents a roadmap which will outline some of the significant challenges which remain to be addressed.

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Author information

Authors and Affiliations

  1. Web and Internet Science, ECS, University of Southampton, UK

    Su White

Authors
  1. Su White
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Editor information

Editors and Affiliations

  1. Akamai Physics, Inc., 88005, Las Cruces, Mexico

    Heather D. Pfeiffer

  2. Higher School of Economics, National Research University, Pokrovsky boulvard 11, 109028, Moscow, Russia

    Dmitry I. Ignatov

  3. Katholieke Universiteit Leuven, 3000, Leuven, Belgium

    Jonas Poelmans

  4. Tata Institute of Fundamental Reseach, 400088, Mumbay, India

    Nagarjuna Gadiraju

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White, S. (2013). Conceptual Structures for STEM Data. In: Pfeiffer, H.D., Ignatov, D.I., Poelmans, J., Gadiraju, N. (eds) Conceptual Structures for STEM Research and Education. ICCS 2013. Lecture Notes in Computer Science(), vol 7735. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-35786-2_1

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  • DOI: https://doi.org/10.1007/978-3-642-35786-2_1

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-35785-5

  • Online ISBN: 978-3-642-35786-2

  • eBook Packages: Computer ScienceComputer Science (R0)

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