This paper presents approaches for building new
knowledge using emerging methods and big data technologies
together with archival practices.
Two cases studies have been considered. The first one called
HERBADROP is concerned with preservation and analysis of
herbarium images. The second one called EUROPEANA investigates
how to facilitate the re-use of cultural heritage language
resources for research purposes. The common point between
these two case studies is that they are both concerned with the
use of valuable heritage resources within the EUDAT (European
Data) infrastructure. HERBADROP leverages on the data services
provided by EUDAT for long-term preservation, while EUROPEANA
leverages on EUDAT to achieve citability and persistent
identification of cultural heritage datasets.
EUDAT1 is an initiative of some of the main European data
centers and together with community research infrastructure
organisations, to build a common eInfrastructure for general
research data management.
In this paper, we show how technologcal trends may offer some
new research potential in the domain of computational archival
science in particular appraising the challenges of producing
quality, meaning, knowledge and value from quantity, tracing
data and analytic provenance across complex big data platforms
and knowledge production ecosystems.