The future of science will be determined primarily by the methods and tools that can be used to effectively analyze the huge amounts of data generated by the common use of digital media in scholarly communication, conversations, work processes and social structures. These characteristics, which are subsumed under the term data-intensive science, change the nature of scientific work in the most sustainable way. And most importantly, such expressions as the fact that scientific collaboration is increasingly embedded in a globally connected environment and the growth rate of scientific output in the top ten countries is increasing exponentially and this output is expressed above all by non-traditional, highly dynamic, interconnected assets such as data sets, software, ontologies, slides, videos, blog entries, are responsible for the manifold challenges for Scientometric investigations. COLLNET 2018 has met these challenges and provided an excellent opportunity to discuss the phenomena of collaboration in science, their impact on productivity, innovation, and benefits, and outcomes for individuals, institutions, and economies worldwide. The COLLNET Conference Series and the active COLLNET community have been playing for almost two decades an outstanding role in scholarly communication for improving co-work and collaboration among researchers and practitioners all over the world. This global interdisciplinary research network is to comprise the prominent scientists, who work at present in the field of quantitative science studies. COLLNET 2018 was also a great opportunity for both researchers and practitioners to share experiences, ideas, and research results on all aspects of Webometrics, Informetrics and Scientometrics and to open new avenues for possible research collaborations in the future. This Procedia includes selected papers presented at the 14th International Conference on Webometrics, Informetrics and Scientometrics (WIS) & 19th COLLNET Meeting, which took place during 05 to 08 December 2018 in the University of Macau, Macau. The Conference was organized by the Department of Computer and Information Science, University of Macau, in collaboration with Digital Information Research Labs, India and the COLLNET Coordination Centre, Germany. The organizing committee and the editors are grateful to the delegates who had submitted and presented papers.
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