Because good research needs good data

Keynote lecture by Luis Martínez-Uribe at IDCC 2018

Diana Sisu | 10 January 2018

Blending analytics and curation: data explorations from a library in a cultural organization

Digital curation activities ensure that data is looked after from the moment of creation and throughout its lifecycle with the aim of adding value to it and ensuring permanent access. One way to augment curation is using analytics as these two worlds blend well at many levels. For instance, data can be curated using supervised learning to categorize it, or with clustering methods that support the process of entity disambiguation, or using off-the-shelf AI for automatic transcription of audio, sentiment analysis or keyword extraction from text. In addition to curating data using analytics, once data is well curated, a wide range of analytical methods can provide insights into the way in which our organizations work and eventually those insights can be used to guide strategy. This talk will discuss the previous views illustrating them with activities from the DataLab at the Library of Fundación Juan March, a section dedicated to curation and analytics in a cultural organization devoted to the promotion of humanistic and scientific culture.


Luis Martínez-Uribe is Data Scientist at the Fundación Juan March, a non-profit organization devoted to the promotion of humanistic and scientific culture based in Madrid, Spain. He leads the DataLab, a section of the Library dedicated to digital curation and analytic projects. Prior to this, Luis was Data Librarian at the London School of Economics and held research data management roles at the University of Oxford, Institute Juan March and the Australian National Data Service. Luis holds a BSc in Mathematics, a MSc in Information Systems and is currently undertaking a PhD in Sociology focused on the development of quantitative methods for the sociological analysis of Big Data from libraries.

International Digital Curation Conference 2018