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A native of Messina in Italy, Concetta completed her BA in Conservation of Cultural Heritage in 2007 at the University of Messina. During her university years she worked in various libraries and cultural institutions in Italy. She completed her MA in Archival and Library Science at the University of Rome ‘La Sapienza’ in 2009. In 2011 she moved to the UK where she worked as a Cataloguer for Blackwell, Baker & Taylor and YBP/EBSCO, acquiring great experience in cataloguing books and ebooks. In September 2015 she moved to Cambridge University Press where, as Senior Library Data Analyst, she uses her knowledge of cataloguing and metadata to improve the quality of the metadata supplied to customers and third parties. From 2017 she is the Cambridge University Press representative on the Metadata2020 project and from 2019 Social Media Manager for the CILIP – CIG Cataloguing and Indexing Group. 

Additional areas of expertise:

Bibliographic databases, catalogues and repositories. 

Creation and manipulation of metadata using tools like MarcEdit, Bibliofile, Classificationweb, WebDewey. 

Library platforms such as WorldCat, Alma, Primo.

My day-to-day job mostly involves helping postdocs and UTOs manage research funding applications and awards, through which I found myself receiving lots of questions about GDPR, research data management, and data management plans. I joined the Data Champions in order to help provide answers, and to be able to give applicants and award-holders in my department access to the network's excellent information and resources.

Dequn Teng (he/him) is a third-year Ph.D. candidate in Engineering at the University of Cambridge’s Institute for Manufacturing (IfM), Centre for Technology Management. His doctoral research examines human–algorithm interactions' effects on analytical creativity in algorithmic trading, funded by Cambridge Trust. His long-term research identity focuses on emerging algorithmic innovations' effects on strategic value creation, bridging insights from computer engineering, technology management, and organizational strategy. He also serves as a Research Assistant in the International Business and Strategy Group at the CJBS, where he contributes to research on regenerative innovations and strategies.

Prior to his Ph.D., Dequn completed an MPhil in Engineering (IfM, University of Cambridge) under Prof. Veronica Martinez, focusing on supply chain risk modeling with machine learning–enabled blockchain systems. He earned a first-class honors degree in Computer Science and Electrical Engineering from the University of Liverpool (2+2 routine) and further enriched his expertise as a visiting student at Stanford University.

Beyond academia, Dequn has gained industry experience through roles at Deutsche Bank and Unilever, as well as through venture creation activities at the Entrepreneurship Centre at CJBS. He is also the Vice President of the Cambridge Algorithmic Trading Society (CUATS), fostering interdisciplinary collaboration in algorithmic trading research and practice.

As an educator, Dequn supervise industrial engineering, strategic management, and marketing, and leads coding and analytics sessions—including Brainteaser and LeetCode sessions—within the CUATS, cultivating interactive learning experiences at the intersection of technology, strategy, and innovation.

Publications