Developing Agricultural Research Information Systems: The experience of the Global Forum on Agricultural Research

2009 ◽  
Author(s):  
Ajit P Maru ◽  
Mark Holderness ◽  
Valeria Pesce
Author(s):  
Baumgart Matthias ◽  
Romer Lisa ◽  
Luhr Matthias ◽  
Roschke Christian ◽  
Ritter Marc ◽  
...  

Author(s):  
Khaoula Benmoussa ◽  
Majida Laaziri ◽  
Samira Khoulji ◽  
Kerkeb Mohamed Larbi ◽  
Abir El Yamami

<p><span lang="EN-US">Considering the importance of the ergonomic aspect for information systems in providing an easy use of the computing systems, this paper focuses on the elaboration of a hybrid model for the ergonomic evaluation of information systems that merges a set of inspection dimensions such as accessibility, practicality, emotionality, and technological persuasion. Details on how the model has been constructed and data have been collected are presented. For the evaluation of our model, a situation of an information system for scientific research (SIMArech) in Moroccan Universities has been studied. This model can be used by ergonomist and human factor professionals. It is found that the proposed heuristics can effectively assess the most important dimensions of scientific research information systems.</span></p>


1988 ◽  
Vol 20 (1) ◽  
pp. 128
Author(s):  
Martha Andrews ◽  
W. Peter Adams ◽  
Peter Adams

Data ◽  
2020 ◽  
Vol 5 (2) ◽  
pp. 30
Author(s):  
Otmane Azeroual ◽  
Joachim Schöpfel ◽  
Dragan Ivanovic

With the steady increase in the number of data sources to be stored and processed by higher education and research institutions, it has become necessary to develop Research Information Systems, which will store this research information in the long term and make it accessible for further use, such as reporting and evaluation processes, institutional decision making and the presentation of research performance. In order to retain control while integrating research information from heterogeneous internal and external data sources and disparate interfaces into RIS and to maximize the benefits of the research information, ensuring data quality in RIS is critical. To facilitate a common understanding of the research information collected and to harmonize data collection processes, various standardization initiatives have emerged in recent decades. These standards support the use of research information in RIS and enable compatibility and interoperability between different information systems. This paper examines the process of securing data quality in RIS and the impact of research information standards on data quality in RIS. We focus on the recently developed German Research Core Dataset standard as a case of application.


2017 ◽  
Vol 106 ◽  
pp. 305-320 ◽  
Author(s):  
Joachim Schöpfel ◽  
Hélène Prost ◽  
Violane Rebouillat

Sign in / Sign up

Export Citation Format

Share Document