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The automatic normalisation challenge: detailed addresses identification

Author

Listed:
  • Fernanda Morillo

    (Spanish National Research Council (CSIC))

  • Ignacio Santabárbara

    (Spanish National Research Council (CSIC))

  • Javier Aparicio

    (Spanish National Research Council (CSIC))

Abstract

The correct attribution of scientific publications to their true owners is extremely important, considering the detailed evaluation processes and the future investments based upon them. This attribution is a hard job for bibliometricians because of the increasing amount of documents and the raise of collaboration. Nevertheless, there is no published work with a comprehensive solution of the problem. This article introduces a procedure for the detailed identification and normalisation of addresses to facilitate the correct allocation of the scientific production included in databases. Thanks to our long experience in the manual normalisation of addresses, we have created and maintained various master lists. We have already developed an application to detect institutional sectors (issued in a previous paper) and now we analyse the details of particular institutions, taking advantage of our master tables. To test our methodology we have implemented it in a Spanish data set already manually codified (95,314 unique addresses included in the year 2008 on the Web of Science databases). This data was analysed with a full text search against our master lists, giving optional codes for each address and choosing which one could be automatically encoded and which one should be reviewed manually. The results of the implementation, comparing the automatic versus manual codes, showed 87 % automatically codified records with 1.9 % of error. We should review manually only 13 %. Finally, we applied the Wilcoxon non-parametric test to show the validity of the methodology, comparing detailed codes of centres already encoded with the automatically encoded ones, and concluding that their distribution was similar with a significance of 0.078.

Suggested Citation

  • Fernanda Morillo & Ignacio Santabárbara & Javier Aparicio, 2013. "The automatic normalisation challenge: detailed addresses identification," Scientometrics, Springer;Akadémiai Kiadó, vol. 95(3), pages 953-966, June.
    • Handle: RePEc:spr:scient:v:95:y:2013:i:3:d:10.1007_s11192-013-0965-0
    DOI: 10.1007/s11192-013-0965-0
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    References listed on IDEAS

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    1. Jian Wang & Kaspars Berzins & Diana Hicks & Julia Melkers & Fang Xiao & Diogo Pinheiro, 2012. "A boosted-trees method for name disambiguation," Scientometrics, Springer;Akadémiai Kiadó, vol. 93(2), pages 391-411, November.
    2. William W. Hood & Concepción S. Wilson, 2003. "Informetric studies using databases: Opportunities and challenges," Scientometrics, Springer;Akadémiai Kiadó, vol. 58(3), pages 587-608, November.
    3. Fernanda Morillo & Javier Aparicio & Borja González-Albo & Luz Moreno, 2013. "Towards the automation of address identification," Scientometrics, Springer;Akadémiai Kiadó, vol. 94(1), pages 207-224, January.
    4. Mallig, Nicolai, 2010. "A relational database for bibliometric analysis," Discussion Papers "Innovation Systems and Policy Analysis" 22, Fraunhofer Institute for Systems and Innovation Research (ISI).
    5. Perianes-Rodríguez, Antonio & Chinchilla-Rodríguez, Zaida & Vargas-Quesada, Benjamín & Olmeda Gómez, Carlos & Moya-Anegón, Félix, 2009. "Synthetic hybrid indicators based on scientific collaboration to quantify and evaluate individual research results," Journal of Informetrics, Elsevier, vol. 3(2), pages 91-101.
    6. Almeida, J.A.S. & Pais, A.A.C.C. & Formosinho, S.J., 2009. "Science indicators and science patterns in Europe," Journal of Informetrics, Elsevier, vol. 3(2), pages 134-142.
    7. Bornmann, Lutz & Ozimek, Adam, 2012. "Stata commands for importing bibliometric data and processing author address information," Journal of Informetrics, Elsevier, vol. 6(4), pages 505-512.
    8. Mallig, Nicolai, 2010. "A relational database for bibliometric analysis," Journal of Informetrics, Elsevier, vol. 4(4), pages 564-580.
    9. Bart Thijs & Wolfgang Glänzel, 2008. "A structural analysis of publication profiles for the classification of European research institutes," Scientometrics, Springer;Akadémiai Kiadó, vol. 74(2), pages 223-236, February.
    10. Ciriaco Andrea D'Angelo & Cristiano Giuffrida & Giovanni Abramo, 2011. "A heuristic approach to author name disambiguation in bibliometrics databases for large-scale research assessments," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 62(2), pages 257-269, February.
    11. Anthony F. J. van Raan, 2005. "Fatal attraction: Conceptual and methodological problems in the ranking of universities by bibliometric methods," Scientometrics, Springer;Akadémiai Kiadó, vol. 62(1), pages 133-143, January.
    12. Ciriaco Andrea D'Angelo & Cristiano Giuffrida & Giovanni Abramo, 2011. "A heuristic approach to author name disambiguation in bibliometrics databases for large‐scale research assessments," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 62(2), pages 257-269, February.
    13. Thomas Gurney & Edwin Horlings & Peter van den Besselaar, 2012. "Author disambiguation using multi-aspect similarity indicators," Scientometrics, Springer;Akadémiai Kiadó, vol. 91(2), pages 435-449, May.
    14. Giovanni Abramo & Ciriaco Andrea D’Angelo & Flavia Di Costa, 2011. "National research assessment exercises: the effects of changing the rules of the game during the game," Scientometrics, Springer;Akadémiai Kiadó, vol. 88(1), pages 229-238, July.
    15. Giovanni Abramo & Ciriaco Andrea D’Angelo & Fabio Pugini, 2008. "The measurement of Italian universities’ research productivity by a non parametric-bibliometric methodology," Scientometrics, Springer;Akadémiai Kiadó, vol. 76(2), pages 225-244, August.
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    Cited by:

    1. Cova, Tânia F.G.G. & Jarmelo, Susana & Formosinho, Sebastião J. & de Melo, J. Sérgio Seixas & Pais, Alberto A.C.C., 2015. "Unsupervised characterization of research institutions with task-force estimation," Journal of Informetrics, Elsevier, vol. 9(1), pages 59-68.
    2. Fernanda Morillo & Adrián A. Díaz-Faes & Borja González-Albo & Luz Moreno, 2014. "Do networking centres perform better? An exploratory analysis in Psychiatry and Gastroenterology/Hepatology in Spain," Scientometrics, Springer;Akadémiai Kiadó, vol. 98(2), pages 1401-1416, February.
    3. Fernanda Morillo & Rodrigo Costas & María Bordons, 2015. "How is credit given to networking centres in their publications? A case study of the Spanish CIBER research structures," Scientometrics, Springer;Akadémiai Kiadó, vol. 103(3), pages 923-938, June.
    4. Daniela De Filippo & Fernanda Morillo & Borja González-Albo, 2023. "Measuring the Impact and Influence of Scientific Activity in the Humanities and Social Sciences," Publications, MDPI, vol. 11(2), pages 1-17, June.
    5. Ciriaco Andrea D’Angelo & Nees Jan Eck, 2020. "Collecting large-scale publication data at the level of individual researchers: a practical proposal for author name disambiguation," Scientometrics, Springer;Akadémiai Kiadó, vol. 123(2), pages 883-907, May.
    6. Fernanda Morillo & Belén Álvarez-Bornstein, 2018. "How to automatically identify major research sponsors selecting keywords from the WoS Funding Agency field," Scientometrics, Springer;Akadémiai Kiadó, vol. 117(3), pages 1755-1770, December.
    7. Fernanda Morillo & Preiddy Efrain-Garcia, 2015. "A bibliometric analysis of Technology Centres," Scientometrics, Springer;Akadémiai Kiadó, vol. 104(3), pages 685-713, September.

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