9 research outputs found
Data, Data Processing, Data Provenance & Metadata. On the digital representation of complex cultural data.?
Zdigitalizowany Beckett. Technologia cyfrowa w badaniach nad praktyką autoprzekładu Samuela Becketta
The Beckett Digital Manuscript Project (BDMP) brings together digital facsimiles of the manuscripts of Samuel Beckett’s works – documents currently held in over thirteen libraries and archives in Europe and North America – with the aim of furthering genetic criticism. Incorporating three of the eight modules available for researchers engaging with the BDMP website as of August 2020, together with one forthcoming monograph study whose corresponding digital module has yet to be made live on the site, this article will, in effect, make use of three novels and one novella, all in both their French and English iterations, in order to present concrete examples of the ways in which the exposition of idiosyncratic features of Beckett’s oeuvre is being facilitated by this nascent digital archive.The Beckett Digital Manuscript Project (BDMP) jest kolekcją zawierającą faksymilia rękopisów prac Samuela Beckett’a – dokumentów przechowywanych obecnie w trzynastu bibliotekach i archiwach w Europie i Ameryce Północnej. Biorąc pod uwagę trzy z ośmiu modułów udostępnionych badaczom korzystającym ze strony internetowej BDMP od sierpnia 2020 roku oraz jedno planowane studium monograficzne, dla którego moduł cyfrowy nie został jeszcze w pełni przygotowany, w artykule skupiono się na trzech powieściach i jednej noweli w zarówno francuskich, jak i angielskich wersjach. Celem autorów jest zaprezentowanie – dzięki wspomnianemu, wciąż rozwijającemu się archiwum cyfrowemu – konkretnych przykładów związanych ze specyficznymi cechami dzieła Becketta
Digitising Cultural Complexity: Representing Rich Cultural Data in a Big Data environment.
International audienceOne of the major terminological forces driving ICT integration in research today is that of "big data." While the phrase sounds inclusive and integrative, "big data" approaches are highly selective, excluding input that cannot be effectively structured, represented, or digitised. Data of this complex sort is precisely the kind that human activity produces, but the technological imperative to enhance signal through the reduction of noise does not accommodate this richness. Data and the computational approaches that facilitate “big data” have acquired a perceived objectivity that belies their curated, malleable, reactive, and performative nature. In an input environment where anything can “be data” once it is entered into the system as “data,” data cleaning and processing, together with the metadata and information architectures that structure and facilitate our cultural archives acquire a capacity to delimit what data are. This engenders a process of simplification that has major implications for the potential for future innovation within research environments that depend on rich material yet are increasingly mediated by digital technologies. This paper presents the preliminary findings of the European-funded KPLEX (Knowledge Complexity) project which investigates the delimiting effect digital mediation and datafication has on rich, complex cultural data. The paper presents a systematic review of existing implicit definitions of data, elaborating on the implications of these definitions and highlighting the ways in which metadata and computational technologies can restrict the interpretative potential of data. It sheds light on the gap between analogue or augmented digital practices and fully computational ones, and the strategies researchers have developed to deal with this gap. The paper proposes a reconceptualisation of data as it is functionally employed within digitally-mediated research so as to incorporate and acknowledge the richness and complexity of our source materials