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Careers in science: policy issues according to Nature and Science editorials

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  • Cathelijn J. F. Waaijer

    (Leiden University)

Abstract

This study analyzes the editorials in Science and Nature published between 2000 and 2012 about careers in science. Of the total body of documents, 8.8 % dealt with science careers. The editorials were manually classified by topics and then mapped using the VOSviewer. This revealed six easily distinguishable clusters: career conditions in science, the attractiveness of science as a career, merit-based career policies, the effect of research funding on careers, specific groups underrepresented in science, and mobility of scientists. The paper summarizes the main thrust of the arguments in these editorials. There is strong agreement about the problems in scientific careers, but less consensus on the solutions to these problems. The paper also explores whether mapping on the basis of automatically identified terms could have provided adequate results, but concludes that manual classification is needed.

Suggested Citation

  • Cathelijn J. F. Waaijer, 2013. "Careers in science: policy issues according to Nature and Science editorials," Scientometrics, Springer;Akadémiai Kiadó, vol. 96(2), pages 485-495, August.
    • Handle: RePEc:spr:scient:v:96:y:2013:i:2:d:10.1007_s11192-013-0958-z
    DOI: 10.1007/s11192-013-0958-z
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    References listed on IDEAS

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    1. Cathelijn J. F. Waaijer & Cornelis A. van Bochove & Nees Jan van Eck, 2010. "Journal Editorials give indication of driving science issues," Nature, Nature, vol. 463(7278), pages 157-157, January.
    2. Nees Jan van Eck & Ludo Waltman & Rommert Dekker & Jan van den Berg, 2010. "A comparison of two techniques for bibliometric mapping: Multidimensional scaling and VOS," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 61(12), pages 2405-2416, December.
    3. van Eck, N.J.P. & Waltman, L., 2009. "How to Normalize Co-Occurrence Data? An Analysis of Some Well-Known Similarity Measures," ERIM Report Series Research in Management ERS-2009-001-LIS, Erasmus Research Institute of Management (ERIM), ERIM is the joint research institute of the Rotterdam School of Management, Erasmus University and the Erasmus School of Economics (ESE) at Erasmus University Rotterdam.
    4. Cathelijn J. F. Waaijer & Cornelis A. Bochove & Nees Jan Eck, 2011. "On the map: Nature and Science editorials," Scientometrics, Springer;Akadémiai Kiadó, vol. 86(1), pages 99-112, January.
    5. Nees Jan van Eck & Ludo Waltman, 2009. "How to normalize cooccurrence data? An analysis of some well‐known similarity measures," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 60(8), pages 1635-1651, August.
    6. Koen Jonkers, 2011. "Mobility, productivity, gender and career development of Argentinean life scientists," Research Evaluation, Oxford University Press, vol. 20(5), pages 411-421, December.
    7. Nees Jan Eck & Ludo Waltman, 2010. "Software survey: VOSviewer, a computer program for bibliometric mapping," Scientometrics, Springer;Akadémiai Kiadó, vol. 84(2), pages 523-538, August.
    8. Waltman, Ludo & van Eck, Nees Jan & Noyons, Ed C.M., 2010. "A unified approach to mapping and clustering of bibliometric networks," Journal of Informetrics, Elsevier, vol. 4(4), pages 629-635.
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    Cited by:

    1. Houcemeddine Turki & Mohamed Ali Hadj Taieb & Mohamed Ben Aouicha & Ajith Abraham, 2020. "Nature or Science: what Google Trends says," Scientometrics, Springer;Akadémiai Kiadó, vol. 124(2), pages 1367-1385, August.
    2. Clara Boothby & Staša Milojević, 2021. "An exploratory full-text analysis of Science Careers in a changing academic job market," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(5), pages 4055-4071, May.

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    More about this item

    Keywords

    Academic careers; Scientific careers; Classification; Bibliometric mapping; Editorials;
    All these keywords.

    JEL classification:

    • J21 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Labor Force and Employment, Size, and Structure
    • J23 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Labor Demand
    • J24 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Human Capital; Skills; Occupational Choice; Labor Productivity
    • J60 - Labor and Demographic Economics - - Mobility, Unemployment, Vacancies, and Immigrant Workers - - - General
    • J70 - Labor and Demographic Economics - - Labor Discrimination - - - General

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