Resumen
Archaeological practice has always been aware of the importance of good data management. However, data management as we do it today, including linked data and semantic web approaches, inherits directly from librarianship practices that fall short of increasingly complex needs in archaeology. In this roundtable I will argue that we should aim to manage information and even knowledge, rather than bare data, if we want to cope with the demands of computer-assisted archaeological interpretation and knowledge generation. To achieve this, we should look at how other complex disciplines such as genomics or engineering are applying conceptual modelling to solve similar problems.