22 October 2020 Start
24 June 2020 End

e-mail.: [email protected]

Museum Big Data 2020

October 22-24, 2020

This onsite and online conference in Nicosia, Cyprus is organised by UCL Qatar and The Cyprus Institute. Registration / participation is free this year.


The MBD conferences were born at University College London in Qatar in 2019 as part of a research project on Museum Big Data funded by the Qatar Foundation. This project led to the MBD2019 conference, thus initiating the first international research forum in the field of Museum Big Data.

The MBD conferences showcase the most innovative research and practical work in Museum Big Data. The main objective of each MBD conference is to promote high-quality research in the field as well as to provide an excellent opportunity for networking in this emerging field. Also, MBD conferences aspire to set the research agenda in the Museum Big Data domain.

It is addressed and aims to attract academics, practitioners and technologists engaged in the current research discourse on the new trends of the domain; in addition, the conference aspires to showcase experimental work.


Big Data and Data mining processes comprise relatively new fields in museum research and inquiry, which are expected to become core disciplines as museum data input increases and digital museum data collections from museums’ everyday activities and operations become increasingly larger.

Nowadays, museums all over the world maintain and expand dynamic databases and big datasets on museum objects and operations as well as generated data extending from visitors’ numbers, times and stops to tweets, likes and shares.

There is an emerging need to detect new and discover hidden and useful information, patterns, clusters and relationships among large sums of museum data. To address this need, we require ethical considerations and processes, a thorough understanding of contexts in the physical and the digital world, and cross-disciplinary Big Data methods, techniques and testing.

We also need to develop theoretical frameworks and explore connections with the Big Data ongoing discussion in libraries, archives and information studies.

Have museums (had to) become data-driven? Have they been transformed and how?