The IMAGE Project: A Geographical Laboratory for the Integration of Multidisciplinary Data

1988 ◽  
pp. 40-50 ◽  
Author(s):  
D. Gauvreau ◽  
R. Bouchard ◽  
S. Gauthier ◽  
J. Mathieu ◽  
C. Boily ◽  
...  
Keyword(s):  
Multidisciplinary Data

scholarly journals 0023 Multidisciplinary data-sharing for community violence prevention: shifting power to the community

2021 ◽  
Author(s):  
S Kohlbeck ◽  
T deRoon-Cassini ◽  
M Levas ◽  
S Hargarten ◽  
C Kostelac ◽  
...  
Keyword(s):  
Violence Prevention ◽  
Data Sharing ◽  
Community Violence ◽  
Multidisciplinary Data

scholarly journals Integrating geo-referenced multiscale and multidisciplinary data for the management of biodiversity in livestock genetic resources

2010 ◽  
Vol 41 ◽  
pp. 47-63 ◽  
Author(s):  
S. Joost ◽  
L. Colli ◽  
P. V. Baret ◽  
J. F. Garcia ◽  
P. J. Boettcher ◽  
...  
Keyword(s):  
Genetic Resources ◽  
Multidisciplinary Data

scholarly journals Multidisciplinary data infrastructures in multiple sclerosis: Why they are needed and can be done!

2018 ◽  
Vol 25 (4) ◽  
pp. 500-509 ◽  
Author(s):  
Liesbet M Peeters ◽  
Caspar EP van Munster ◽  
Bart Van Wijmeersch ◽  
Robin Bruyndonckx ◽  
Ilse Lamers ◽  
...  
Keyword(s):  
Multiple Sclerosis ◽  
Outcome Measures ◽  
Patient Reported Outcome Measures ◽  
Patient Reported Outcome ◽  
Personalized Treatment ◽  
Multidisciplinary Data ◽  
Patient Reported ◽  
Longitudinal Data Collection ◽  
Patient Profiling ◽  
Data Infrastructures

Personalized treatment is highly desirable in multiple sclerosis (MS). We believe that multidisciplinary measurements including clinical, functional and patient-reported outcome measures in combination with extensive patient profiling can enhance personalized treatment and rehabilitation strategies. We elaborate on four reasons behind this statement: (1) MS disease activity and progression are complex and multidimensional concepts in nature and thereby defy a one-size-fits-all description, (2) functioning, progression, treatment, and rehabilitation effects are interdependent and should be investigated together, (3) personalized healthcare is based on the dynamics of system biology and on technology that confirms a patient’s fundamental biology and (4) inclusion of patient-reported outcome measures can facilitate patient-relevant healthcare. We discuss currently available multidisciplinary MS data initiatives and introduce joint actions to further increase the overall success. With this topical review, we hope to drive the MS community to invest in expanding towards more multidisciplinary and longitudinal data collection.

Rule-Induction Algorithm for Multidisciplinary Data

2001 ◽  
Vol 53 (11) ◽  
pp. 40-40
Author(s):  
Dennis Denney
Keyword(s):  
Rule Induction ◽  
Multidisciplinary Data

Covisualization of Uncertainty and Multidisciplinary Data for Reservoir Characterisation

2005 ◽  
Author(s):  
A. Paradis ◽  
G. Brew ◽  
P. Luxey ◽  
J. Martinie
Keyword(s):  
Multidisciplinary Data

A model for multidisciplinary data collection for cervical metastasis

1991 ◽  
Vol 101 (12) ◽  
pp. 1313-1317 ◽  
Author(s):  
Gerard F. Domanowski ◽  
Charles W. Vaughan ◽  
Steven M. Zeitels ◽  
Miriam E. Vincent ◽  
Chandler Malhotra
Keyword(s):  
Data Collection ◽  
Cervical Metastasis ◽  
Multidisciplinary Data

scholarly journals GIS and BIM as Integrated Digital Environments for Modeling and Monitoring of Historic Buildings

2020 ◽  
Vol 10 (3) ◽  
pp. 1078 ◽  
Author(s):  
Elisavet Tsilimantou ◽  
Ekaterini T. Delegou ◽  
Ioannis A. Nikitakos ◽  
Charalabos Ioannidis ◽  
Antonia Moropoulou
Keyword(s):  
Information System ◽  
Structural Integrity ◽  
Information Modeling ◽  
Historic Building ◽  
Multidisciplinary Data ◽  
Building Information ◽  
Digital Environments ◽  
Quantitative Manner ◽  
3D Information ◽  
2D And 3D

Multidisciplinary data integration within an information system is considered a key point for rehabilitation projects. Information regarding the state of preservation and/or decision making, for sustainable restoration is prerequisite. In addition, achieving structural integrity of a historic building, especially one that has undergone many construction phases and restoration interventions, is a very elaborate task and should, therefore, involve the study of multidisciplinary information regarding historical, architectural, building material and geometric data. In this paper the elaboration of such data within 2D and 3D information systems is described. Through the process described herein, a methodology, including the acquisition, classification and management of various multisensory data, is displayed and applied within a geographic information system (GIS). Moreover, the multidisciplinary documentation process, aggregated with the surveying products, generates 3D heritage building information modeling (HBIM), including information regarding construction phases, pathology and current state of preservation of a building. The assessment of the applied methodology is performed concluding in a qualitative and a quantitative manner, in both 2D and 3D environments, providing information to facilitate the structural assessment of a historic building. Thus, in this work, the described methodology is presented, combining the multidisciplinary data with the development of GIS thematic maps and an HBIM. Representative results of the suggested methodology applied on the historic building of Villa Klonaridi, Athens, Greece are displayed.

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