7.5.4Referenties

DARAIO, C., GLÄNZEL, W., Grand challenges in data integration – state of the art and future perspectives: An introduction, Scientometrics, 108 (1), 2016a, 391–400.

DARAIO, C., GLÄNZEL, W. (eds), Grand challenges in data integration for research and innovation (R&I) policy: handling Big Data, coping with quality issues and anticipating new policy needs - state of the art and future perspectives, Scientometrics, 108 (1), 2016b, 389–484.

DARAIO, C., BONACCORSI, A., Beyond university rankings? Generating new indicators on universities by linking data in open platforms, Journal of the American Society for Information Science and Technology, 68 (2), 2017, 508–529.

GLÄNZEL, W., WILLEMS, H., Towards standardisation, harmonisation and integration of data from heterogeneous sources for funding and evaluation purposes, Scientometrics, 106 (2), 2016, 821–823.

LUWEL, M., Heterogeneity of data in research assessment. In Daraio, C. (Ed.). Efficiency, effectiveness and impact of research and innovation. Proceedings of the Workshop of the 20 February 2015 DIAG, Sapienza University of Rome (pp. 157–163). 2015, Efesto Edizioni, Rome. ISBN 9788899104306.

MOED, H. F., HALEVI, G., The multidimensional assessment of scholarly research impact. Journal of the American Society for Information Science and Technology, 66 (10), 2015, 1988–2002.

OECD. Quality framework and guidelines for OECD statistical activities. 2011, Paris: OECD Publishing.

WILSDON, J. et al., The metric tide: Report of the independent review of the role of metrics in research assessment and management. 2015, DOI: 10.13140/RG.2.1.4929.1363.

Workshopbijdragen

BIESENBENDER, S., HORNBOSTEL, S., The research core dataset for the German science system: developing standards for an integrated management of research information. Scientometrics, 108 (1), 2016, 401-412.

DARAIO, C., GLÄNZEL, W., Grand challenges in altmetrics: heterogeneity, data quality and dependencies. Scientometrics, 108 (1), 2016, 413-423.

VANCAUWENBERGH, S., DE LEENHEER, P., VAN GROOTEL, G., On research information and classification governance in an inter-organizational context: the Flanders Research Information Space, Scientometrics, 108 (1), 2016, 425-439.

DARAIO, C., LENZERINI, M., LEPORELLI, C., NAGGAR, P., BONACCORSI, A., BARTOLUCCI, A., The advantages of an Ontology-Based Data Management approach: openness, interoperability and data quality, Scientometrics, 108 (1), 2016, 441-455.
KOSTEN, J., A classification of the use of research indicators, Scientometrics, 108 (1), 2016, 457-464.

ZUCCALA, A., CORNACCHIA, R., Data matching, integration, and interoperability for a metric assessment of monographs, Scientometrics, 108 (1), 2016, 465-484.
 

Dit dossier stoelt op delen van een in Scientometrics verschenen artikel door de auteurs (Daraio & Glänzel, 2016a). Vertaling van delen van de tekst en reproductie van Figuur 1 en Tabel 1 gebeurden met toestemming van de uitgever, Springer Verlag.