Autonomous and Continuous Evolution of Information Systems

2005 ◽  
pp. 758-767 ◽  
Author(s):  
Jingde Cheng
Keyword(s):  
Information Systems ◽  
Continuous Evolution

scholarly journals Virtual research environments as-a-service by gCube

2016 ◽  
Author(s):  
Massimiliano Assante ◽  
Leonardo Candela ◽  
Donatella Castelli ◽  
Gianpaolo Coro ◽  
Lucio Lelii ◽  
...  
Keyword(s):  
Information Systems ◽  
Data Management ◽  
Large Scale ◽  
Software System ◽  
Data Services ◽  
Continuous Evolution ◽  
Research Environments ◽  
Data Infrastructures ◽  
Hybrid Data ◽  
Oriented Research

Science is in continuous evolution and so are the methodologies and approaches scientists tend to apply by calling for appropriate supporting environments. This is in part due to the limitations of the existing practices and in part due to the new possibilities offered by technology advances. gCube is a software system promoting elastic and seamless access to research assets (data, services, computing) across the boundaries of institutions, disciplines and providers to favour collaborative-oriented research tasks. Its primary goal is to enable Hybrid Data Infrastructures facilitating the dynamic definition and operation of Virtual Research Environments. To this end, it offers a comprehensive set of data management commodities on various types of data and a rich array of ``mediators'' to interface well-established Infrastructures and Information Systems from various domains. Its effectiveness has been proved by operating the D4Science.org infrastructure and serving concrete, multidisciplinary, challenging, and large scale scenarios. This paper gives an overview of the gCube system.

scholarly journals Virtual research environments as-a-service by gCube

2016 ◽  
Author(s):  
Massimiliano Assante ◽  
Leonardo Candela ◽  
Donatella Castelli ◽  
Gianpaolo Coro ◽  
Lucio Lelii ◽  
...  
Keyword(s):  
Information Systems ◽  
Data Management ◽  
Large Scale ◽  
Software System ◽  
Data Services ◽  
Continuous Evolution ◽  
Research Environments ◽  
Data Infrastructures ◽  
Hybrid Data ◽  
Oriented Research

Science is in continuous evolution and so are the methodologies and approaches scientists tend to apply by calling for appropriate supporting environments. This is in part due to the limitations of the existing practices and in part due to the new possibilities offered by technology advances. gCube is a software system promoting elastic and seamless access to research assets (data, services, computing) across the boundaries of institutions, disciplines and providers to favour collaborative-oriented research tasks. Its primary goal is to enable Hybrid Data Infrastructures facilitating the dynamic definition and operation of Virtual Research Environments. To this end, it offers a comprehensive set of data management commodities on various types of data and a rich array of ``mediators'' to interface well-established Infrastructures and Information Systems from various domains. Its effectiveness has been proved by operating the D4Science.org infrastructure and serving concrete, multidisciplinary, challenging, and large scale scenarios. This paper gives an overview of the gCube system.

Cost Containment in Information Systems

1984 ◽  
Vol 1 (1) ◽  
pp. 175-185
Author(s):  
Michael E. D. Koenig
Keyword(s):  
Information Systems ◽  
Cost Containment

Trust in Management Information Systems (MIS)

2020 ◽  
Vol 64 (1) ◽  
pp. 6-16 ◽  
Author(s):  
Sarah M. Meeßen ◽  
Meinald T. Thielsch ◽  
Guido Hertel
Keyword(s):  
Information Systems ◽  
Information Overload ◽  
Management Information Systems ◽  
Empirical Work ◽  
Future Research ◽  
Management Information ◽  
Trust In Management ◽  
Actual Use ◽  
Trust In Technology ◽  
The Internet Of Things

Abstract. Digitalization, enhanced storage capacities, and the Internet of Things increase the volume of data in modern organizations. To process and make use of these data and to avoid information overload, management information systems (MIS) are introduced that collect, process, and analyze relevant data. However, a precondition for the application of MIS is that users trust them. Extending accounts of trust in automation and trust in technology, we introduce a new model of trust in MIS that addresses the conceptual ambiguities of existing conceptualizations of trust and integrates initial empirical work in this field. In doing so, we differentiate between perceived trustworthiness of an MIS, experienced trust in an MIS, intentions to use an MIS, and actual use of an MIS. Moreover, we consider users’ perceived risks and contextual factors (e. g., autonomy at work) as moderators. The introduced model offers guidelines for future research and initial suggestions to foster trust-based MIS use.

How Are Questions and Information Systems Related?

1993 ◽  
Vol 38 (10) ◽  
pp. 1094-1095
Author(s):  
Scott P. Robertson
Keyword(s):  
Information Systems
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