2,655 research outputs found
Collaborative Environments. Considerations Concerning Some Collaborative Systems
It is obvious, that all collaborative environments (workgroups, communities of practice, collaborative enterprises) are based on knowledge and between collaboration and knowledge management there is a strong interdependence. The evolution of information systems in these collaborative environments led to the sudden necessity to adopt, for maintaining the virtual activities and processes, the latest technologies/systems, which are capable to support integrated collaboration in business services. In these environments, portal-based IT platforms will integrate multi-agent collaborative systems, collaborative tools, different enterprise applications and other useful information systems.collaboration, collaborative environments, knowledge management, collaborative systems, portals, knowledge portals, agile development of portals
Collaborative Environments. Considerations Concerning Some Collaborative Systems
It is obvious, that all collaborative environments (workgroups, communities of practice, collaborative enterprises) are based on knowledge and between collaboration and knowledge management there is a strong interdependence. The evolution of information systems in these collaborative environments led to the sudden necessity to adopt, for maintaining the virtual activities and processes, the latest technologies/systems, which are capable to support integrated collaboration in business services. In these environments, portal-based IT platforms will integrate multi-agent collaborative systems, collaborative tools, different enterprise applications and other useful information systems
An Open Framework for Integrating Widely Distributed Hypermedia Resources
The success of the WWW has served as an illustration of how hypermedia functionality can enhance access to large amounts of distributed information. However, the WWW and many other distributed hypermedia systems offer very simple forms of hypermedia functionality which are not easily applied to existing applications and data formats, and cannot easily incorporate alternative functions which would aid hypermedia navigation to and from existing documents that have not been developed with hypermedia access in mind. This paper describes the extension to a distributed environment of the open hypermedia functionality of the Microcosm system, which is designed to support the provision of hypermedia access to a wide range of source material and application, and to offer straightforward extension of the system to incorporate new forms of information access
1st INCF Workshop on Sustainability of Neuroscience Databases
The goal of the workshop was to discuss issues related to the sustainability of neuroscience databases, identify problems and propose solutions, and formulate recommendations to the INCF. The report summarizes the discussions of invited participants from the neuroinformatics community as well as from other disciplines where sustainability issues have already been approached. The recommendations for the INCF involve rating, ranking, and supporting database sustainability
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uC: Ubiquitous Collaboration Platform for Multimodal Team Interaction Support
A human-centered computing platform that improves teamwork and transforms the “human- computer interaction experience” for distributed teams is presented. This Ubiquitous Collaboration, or uC (“you see”), platform\u27s objective is to transform distributed teamwork (i.e., work occurring when teams of workers and learners are geographically dispersed and often interacting at different times). It achieves this goal through a multimodal team interaction interface realized through a reconfigurable open architecture. The approach taken is to integrate: (1) an intuitive speech- and video-centric multi-modal interface to augment more conventional methods (e.g., mouse, stylus and touch), (2) an open and reconfigurable architecture supporting information gathering, and (3) a machine intelligent approach to analysis and management of heterogeneous live and stored sensor data to support collaboration. The system will transform how teams of people interact with computers by drawing on both the virtual and physical environment
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Characteristic of enterprise collaboration system and its implementation issues in business management
Collaboration is an extremely useful area for the most of the enterprise systems particularly within Web 2.0 and Enterprise 2.0. The collaboration provides help in enterprise collaboration system (ECS) to achieve the desired goal by unifying completed tasks of employees or people working on a similar or the same task. Thus, the collaboration systems have witnessed significant attention. The ECS provides consistent and off-the-shelf support to processes and managements within organisations. Management techniques of the ECS may be useful to a community which manages ECS systems for collaboration. In this context, this paper focuses on enterprise collaboration system and answers critical questions related to ECS including: 1) what does collaboration really means for an enterprise system; 2) how can the collaboration help to improve internal processes and management of the system; 3) how it is helpful to improve interactions with customers and partners
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Rethinking Information Systems research methods with Heidegger’s ontology
IS research is to some extent driven by practitioner concerns. Both practitioners and .Information Systems (IS) research has been dominated by the Cartesian worldview of duality. This has had the effect of narrowing the range of research questions addressed and focusing mainstream research on the application of scientific research methods. Heidegger’s ontology gives us an alternative view of the reality of human life. His analysis of tools in use (which he labels equipment) is of particular interest for IS research. His concept of equipment can be directly applied to Information and Communications Technology (ICT) by both practitioners and researchers. The paper outlines some of the implications of this step for IS researchers
Concept plan for implementation of the National Biosurveillance Strategy for Human Health January 2010
cdc:35002This Concept Plan for Implementation of the National Biosurveillance Strategy for Human Health (Concept Plan) responds to Homeland Security Presidential Directive 21 (HSPD-21), which was issued in recognition of significant health-related threats to the residents of our nation. Included in HSPD-21, as a critical component of public health and medical preparedness, is the development of a \u201cnationwide, robust, and integrated biosurveillance capability.\u201d The U.S. Department of Health and Human Services (HHS) charged the Centers for Disease Control and Prevention (CDC) with leading the implementation of this component of HSPD-21. In 2008, CDC\u2019s Coordinating Office for Terrorism Preparedness and Emergency Response (COTPER) established the Biosurveillance Coordination Unit (BCU) to respond to the biosurveillance mandate of HSPD-21.The basis for the efforts under HSPD-21 can be found in several prior executive and legislative actions. HSPD-9 and HSPD-10 created a new biological threat awareness capacity and established an integrated warning system. The Pandemic and All-Hazards Preparedness Act of 2006 (PAHPA), among other recommendations, proposes new national surveillance methods. And finally, PL 110-53, which implemented the recommendations of the 9/11 Commission, mandates the federal government identify and track biological events of national concern by integrating and analyzing data. Each of these actions provided the building blocks for the foundation of biosurveillance
Networked experiments and scientific resource sharing in cooperative knowledge spaces
Dieser Beitrag ist mit Zustimmung des Rechteinhabers aufgrund einer (DFG geförderten) Allianz- bzw. Nationallizenz frei zugänglich.This publication is with permission of the rights owner freely accessible due to an Alliance licence and a national licence (funded by the DFG, German Research Foundation) respectively.Cooperative knowledge spaces create new potentials for the experimental fields in natural sciences and engineering because they enhance the accessibility of experimental setups through virtual laboratories and remote technology, opening them for collaborative and distributed usage. A concept for extending existing virtual knowledge spaces for the means of the technological disciplines (“ViCToR‐Spaces” ‐ Virtual Cooperation in Teaching and Research for Mathematics, Natural Sciences and Engineering) is presented. The integration of networked virtual laboratories and remote experiments (“NanoLab Approach”), as well as an approach to community‐driven content sharing and content development within virtual knowledge spaces (NanoWiki) are described
Game of Templates. Deploying and (re-)using Virtualized Research Environments in High-Performance and High-Throughput Computing
The Virtual Open Science Collaboration Environment project worked on different
use cases to evaluate the necessary steps for virtualization or containerization
especially when considering the external dependencies of digital workflows. Virtualized
Research Environments (VRE) can both help to broaden the user base of an
HPC cluster like NEMO and offer new forms of packaging scientific workflows as
well as managing software stacks. The eResearch initiative on VREs sponsored by
the state of Baden-Württemberg provided the necessary framework for both the
researchers of various disciplines as well as the providers of (large-scale) compute
infrastructures to define future operational models of HPC clusters and scientific
clouds. In daily operations, VREs running on virtualization or containerization
technologies such as OpenStack or Singularity help to disentangle the responsibilities
regarding the software stacks needed to fulfill a certain task. Nevertheless,
the reproduction of VREs as well as the provisioning of research data to be computed
and stored afterward creates a couple of challenges which need to be solved
beyond the traditional scientific computing models
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