An Exploration of Knowledge Integration: A Comprehensive View of Media Characteristics and Integration Capability

With the increasing tendency of information technology (IT) applications, knowledge integration in organization has emerged as an important research topic for both practitioners and researchers, reflecting the magnitude and impact of knowledge resource in distributed environments. Practically, data, information, and knowledge are transmitted via various media, and integration capability is the antecedent of knowledge integration in organizations. However, few literatures research knowledge integration from the comprehensive perspective of transmission media and integration capability. As a complement to previous research, this study proposes a comprehensive theoretical model of knowledge integration (KIM) by incorporating valuable perspectives of media characteristics and organizational capability. This research model provides a new lens for knowledge integration based on transmission media in organizations by integrating relevant research streams. Furthermore, this robust and new model, which has been applied to a knowledge integration practice of e-commerce platform, can be used to explain the most knowledge integration phenomenon in contemporary society

An open-data open-model framework for hydrological models’ integration, evaluation and application

To tackle fundamental scientific questions regarding health, resilience and sustainability of water resources which encompass multiple disciplines, researchers need to be able to easily access diverse data sources and to also effectively incorporate these data into heterogeneous models. To address these cyberinfrastructure challenges, a new sustainable and easy-to-use Open Data and Open Modeling framework called Meta-Scientific-Modeling (MSM) is developed. MSM addresses the challenges of accessing heterogeneous data sources via the Open Data architecture which facilitates integration of various external data sources. Data Agents are used to handle remote data access protocols, metadata standards, and source-specific implementations. The Open Modeling architecture allows different models to be easily integrated into MSM via Model Agents, enabling direct heterogeneous model coupling. MSM adopts a graphical scientific workflow system (VisTrails) and does not require re-compiling or adding interface codes for any diverse model integration. A study case is presented to illustrate the merit of MSM

Efficiently supporting secure and reliable collaboration in scientific workflows

Recently, workflow technologies have been increasingly used in scientific communities. Scientists carry out research by employing scientific workflows to automate computing steps, analyze large data sets and integrate distributed computing processes. This is a challenging task because of insecure procedures in a distributed environment. In this paper, we present an access control framework and models for supporting secure and reliable collaboration. The proposed approaches combine control flows and data flow models to describe scientific workflows, and extend the atomicity sphere concept by considering two levels of atomicity abstraction at the level of process as well as at the level of data, in order to maintain the process consistency and the data consistency in the presence of failures. We also present a case study in a scientific research scenario to show the effectiveness of our approaches