Open Science - Practical Issues in Open Research Data

Robert Viseur

Abstract

The term “open data” refers to information that has been made technically and legally available for reuse. In our research, we focus on the particular case of open research data. We conducted a literature review in order to determine what are the motivations to release open research data and what are the issues related to the development of open research data. Our research allowed to identify seven motivations for researchers to open research data and discuss seven issues. The paper highlights the lack of data infrastructure dedicated to open research data and the need for developing the researcher’s ability to animate online communities.

References

  1. EC (European Commission). Guidelines on Open Access to Scientific Publications and Research Data in Horizon 2020 (Version 1.0), 11 December 2013.
  2. Auer, Sören, Bizer, Christian, Kobilarov, Georgi, et al. Dbpedia: A nucleus for a web of open data. Springer Berlin Heidelberg, 2007.
  3. Barateiro, José, Galhardas, Helena. A Survey of Data Quality Tools. Datenbank-Spektrum, 2005, vol. 14, no 15-21, p. 48.
  4. Bartling, Sönke, Friesike, Sascha. Towards another scientific revolution. In: Opening Science. Springer International Publishing, 2014. p. 3-15.
  5. Bizer, Christian. The emerging web of linked data. Intelligent Systems, IEEE, 2009, vol. 24, no 5, p. 87- 92.
  6. Claerbout, Jon F., Karrenfach, Martin. Electronic documents give reproducible research a new meaning. In: 1992 SEG Annual Meeting. Society of Exploration Geophysicists, 1992.
  7. Chesbrough, Henry, Vanhaverbeke, Wim, West, Joel (ed.). Open innovation: Researching a new paradigm. Oxford university press, 2006.
  8. Eaton, John W. Gnu octave and reproducible research. Journal of Process Control, 2012, vol. 22, no 8, p. 1433-1438.
  9. Fecher, Benedikt, Friesike, Sascha. Open Science: one term, five schools of thought. In : Opening Science. Springer International Publishing, 2014. p. 17-47.
  10. Feller, Joseph, Fitzgerald, Brian. Understanding open source software development. London : AddisonWesley, 2002.
  11. Floca, Ralf. Challenges of Open Data in Medical Research. In : Opening Science. Springer International Publishing, 2014. p. 297-307.
  12. Geuna, Aldo, Nesta, Lionel JJ. University patenting and its effects on academic research: The emerging European evidence. Research Policy, 2006, vol. 35, no 6, p. 790- 807.
  13. Jomier, Julien, Bailly, Adrien, Le Gall, Mikael, et al. An open-source digital archiving system for medical and scientific research. Open Repositories, 2010, vol. 7.
  14. Kilgarriff, Adam. Googleology is bad science. Computational linguistics, 2007, vol. 33, no 1, p. 147- 151.
  15. Kauppinen, Tomi, de Espindola, Giovana Mira. Linked open science-communicating, sharing and evaluating data, methods and results for executable papers. Procedia Computer Science, 2011, vol. 4, p. 726-731.
  16. Lindman, Juho, Tammisto, Yulia. Open Source and Open Data: Business Perspectives from the Frontline. In : Open Source Systems: Grounding Research. Springer Berlin Heidelberg, 2011. p. 330-333.
  17. Miller, Paul, Styles, Rob, Heath, Tom. Open Data Commons, a License for Open Data. LDOW, 2008, vol. 369.
  18. Murray-Rust, Peter. Open data in science. Serials Review, 2008, vol. 34, no 1, p. 52-64.
  19. Paolacci, Gabriele, Chandler, Jesse, & Ipeirotis, Panagiotis G. Running experiments on amazon mechanical turk. Judgment and Decision making, 2010, vol. 5, no 5, p. 411-419.
  20. Penev, Lyubomir, Sharkey, Michael, Erwin, Terry, et al. Data publication and dissemination of interactive keys under the open access model. ZooKeys, 2009, vol. 21, p. 1-17.
  21. Piwowar, Heather A., Day, Roger S., et Fridsma, Douglas B. Sharing detailed research data is associated with increased citation rate. PloS one, 2007, vol. 2, no 3, p. e308.
  22. Reichman, O. J., Jones, Matthew B., et Schildhauer, Mark P. Challenges and opportunities of open data in ecology. Science, 2011, vol. 331, no 6018.ankSpektrum, 14(15-21), 48.
  23. Schildhauer, Thomas, Voss, Hilger. Open Innovation and Crowdsourcing in the Sciences. In Opening Science. Springer International Publishing, 2014. p. 255-269.
  24. Sitek, Dagmar, Bertelmann, Roland. Open Access: A State of the Art. In: Opening Science. Springer International Publishing, 2014. p. 139-153.
  25. Stodden, Victoria. The legal framework for reproducible scientific research: Licensing and copyright. Computing in Science & Engineering, 2009, vol. 11, no 1, p. 35-40.
  26. Teif, Vladimir B. Science 3.0: Corrections to the Science 2.0 paradigm. arXiv preprint arXiv:1301.2522, 2013.
  27. Vandewalle, Patrick et al. Reproducible research in signal processing. Signal Processing Magazine, IEEE, 2009, vol. 26, no 3, p. 37-47.
  28. Viseur, Robert, Charlier, Etienne, Van de Borne Michael. Cloud Computing and Technological Lock-in: Literature Review, Data Technologies and Applications, Vienna, Austria, 2014.
  29. Viseur Robert. Extraction of Biographical Data from Wikipedia, Data Technologies and Applications, Reykjavik, Iceland, 2013.
Download


Paper Citation


in Harvard Style

Viseur R. (2015). Open Science - Practical Issues in Open Research Data . In Proceedings of 4th International Conference on Data Management Technologies and Applications - Volume 1: DATA, ISBN 978-989-758-103-8, pages 201-206. DOI: 10.5220/0005558802010206


in Bibtex Style

@conference{data15,
author={Robert Viseur},
title={Open Science - Practical Issues in Open Research Data},
booktitle={Proceedings of 4th International Conference on Data Management Technologies and Applications - Volume 1: DATA,},
year={2015},
pages={201-206},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005558802010206},
isbn={978-989-758-103-8},
}


in EndNote Style

TY - CONF
JO - Proceedings of 4th International Conference on Data Management Technologies and Applications - Volume 1: DATA,
TI - Open Science - Practical Issues in Open Research Data
SN - 978-989-758-103-8
AU - Viseur R.
PY - 2015
SP - 201
EP - 206
DO - 10.5220/0005558802010206