An exploratory approach to data driven knowledge creation

Abstract

This paper describes a new approach to knowledge creation that is instrumental for the emerging paradigm of data-intensive science. The proposed approach enables the acquisition of new insights from the data by exploiting existing relationships between diverse types of datasets acquired through various modalities. The value of data consistently improves when it can be linked to other data because linking multiple types of datasets allows creating novel data patterns within a scientific data space. These patterns enable the exploratory data analysis, an analysis strategy that emphasizes incremental and adaptive access to the datasets constituting a scientific data space while maintaining an open mind to alternative possibilities of data interconnectivity. A technology, the Linked Open data (LOD), was developed to enable the linking of datasets. We argue that the LOD technology presents several limitations that prevent the full exploitation of this technology to acquire new insights. In this paper, we outline a new approach that enables researchers to dynamically create data patterns in a research data space by exploiting explicit and implicit/hidden relationships between distributed research datasets. This dynamic creation of data patterns enables the exploratory data analysis strategy.

Knowledge Production in a Territorial Network of Organizations: Identifying the Determinants in the Case of Moroccan Technopole

“…In addition, knowledge transfer should be promoted within technopoles, through events that may lead to the establishment of several types of proximity between the actors of technopoles (physical, organizational, and institutional). Moreover, the technopole actors should create a balance between knowledge exploration and knowledge exploitation (Thanos et al 2023). Indeed, exploration without exploitation is not economically viable in the long term, and exploitation without exploration results from using ancient knowledge in the long term (González 2019).…”