D. Apel, W. Behme, R. Eberlein, and C. Merighi, Datenqualität erfolgreich steuern, Praxislösungen für Business Intelligence-Projekte, 3., überarbeitete und erweiterte Auflage, dpunkt. verlag, 2015.

O. Azeroual, G. Saake, and J. Wastl, Data measurement in research information systems: metrics for the evaluation of data quality, Scientometrics, vol.115, issue.3, pp.1271-1290, 2018.

O. Azeroual and J. Schöpfel, Quality issues of CRIS data: An exploratory investigation with universities from twelve countries. Publications, vol.7, pp.1-18, 2019.
URL : https://hal.archives-ouvertes.fr/hal-02045885

S. Biesenbender and S. Hornbostel, The Research Core Dataset for the German science system: challenges, processes and principles of a contested standardization project, Scientometrics, vol.106, pp.837-847, 2016.

S. Biesenbender and S. Hornbostel, The Research Core Dataset for the German science system: developing standards for an integrated management of research information, Scientometrics, vol.108, pp.401-412, 2016.

W. E. Deming, Out of the Crisis, 1982.

L. P. English, Improving data warehouse and business information quality: Methods for reducing costs and increasing profits, 1999.

M. Ge and M. Helfert, A review of information quality research -Develop a research agenda, Proceedings of the 12th International Conference on Information Quality, 2007.

G. Council-of-science and . Humanities, Recommendations on a research core dataset (Drs. 2855-13), 2013.

G. Council-of-science and . Humanities, Recommendations on a research core dataset (Drs, pp.5066-5082, 2016.

K. Hildebrand, M. Gebauer, H. Hinrichs, and M. Mielke, Daten-und Informationsqualität. Auf dem Weg zur Information Excellence. 3., erweiterte Auflage, 2015.

D. Hovorka, K. Larsen, and D. Monarchi, Conceptual convergences: Positioning information systems among the business disciplines, Proceedings of the 17th European Conference on Information Systems, 2009.

D. Ivanovic, D. Surla, and M. Rackovi?, A CERIF data model extension for evaluation and quantitative expression of scientific research results, Scientometrics, vol.86, issue.1, pp.155-172, 2011.

B. Jörg and . Cerif, The common European research information format model, Data Science Journal, vol.9, issue.1, pp.24-31, 2010.

B. Jörg, T. Höllrigl, and D. Baker, Harmonising and formalising research administration profiles CASRAI/CERIF, CRIS2014: 12th International Conference on Current Research Information Systems, 2014.

J. Juran and A. B. Goferey, Juran's Quality Handbook, 1999.

K. Krcmar, , 2015.

M. D. Lytras and A. Visvizi, Big data research for social science and social impact, Sustainability, vol, vol.12, issue.1, 2020.

S. Madnick and R. Y. Wang, Introduction to total data quality management (TDQM) research program. TDQM-92-01, Total Data Quality Management Program, MIT Sloan School of Management, 1992.

S. E. Madnick, R. Y. Wang, Y. W. Lee, and H. Zhu, Overview and framework for data and information quality research, ACM Journal of Information and Data Quality, vol.1, issue.1, pp.1-22, 2009.

F. Naumann and C. Rolker, Assessment methods for information quality criteria, Proceedings of the 15th International Conference on Information Quality, 2000.

I. Susha, M. Janssen, and S. Verhulst, Data collaboratives as "bazaars"? A review of coordination problems and mechanisms to match demand for data with supply. Transforming Government: People, Process and Policy, vol.11, issue.1, pp.157-172, 2017.

R. Y. Wang and D. M. Strong, Beyond accuracy: What data quality means to data consumers, Journal of Management Information Systems, vol.12, issue.4, pp.5-33, 2015.

V. G. Würthele, Datenqualitätsmetrik für Informationsprozesse. Norderstedt, 2003.