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1.
Mol Psychiatry ; 17(12): 1180-5, 2012 Dec.
Article in English | MEDLINE | ID: mdl-22392033

ABSTRACT

Large-scale collaborative research will be a hallmark of future psychiatric genetic research. Ideally, both academic and non-academic institutions should be able to participate in such collaborations to allow for the establishment of very large samples in a straightforward manner. Any such endeavor requires an easy-to-implement information technology (IT) framework. Here we present the requirements for a centralized framework and describe how they can be met through a modular IT toolbox.


Subject(s)
Biological Psychiatry/methods , Biological Psychiatry/trends , Cooperative Behavior , Genetic Research , Medical Informatics/methods , Medical Informatics/trends , Humans , Models, Organizational , Software
2.
Methods Inf Med ; 49(6): 601-7, 2010.
Article in English | MEDLINE | ID: mdl-20644898

ABSTRACT

BACKGROUND: The data protection requirements matured in parallel to new clinical tests generating more personal data since the 1960s. About ten years ago it was recognized that a generic data protection scheme for medical research networks is required, which reinforces patient rights but also allows economically feasible medical research compared to "hand-carved" individual solutions. OBJECTIVES: To give recommendations for more efficient IT infrastructures for medical research networks in compliance with data protection requirements. METHODS: The IT infrastructures of three medical research networks were reviewed with respect to the relevant data management modules. Recommendations are derived to increase cost efficiency in research networks assessing the consequences of a service provider approach without lowering the data protection level. RESULTS: The existing data protection schemes are very complex. Smaller research networks cannot afford the implementation of such schemes. Larger networks struggle to keep them sustainable. Due to a modular redesign in the medical research network community, a new approach offers opportunities for an efficient sustainable IT infrastructure involving a service provider concept. For standard components 70-80% of the costs could be cut down, for open source components about 37% over a three-year period. CONCLUSIONS: Future research networks should switch to a service-oriented approach to achieve a sustainable, cost-efficient IT infrastructure.


Subject(s)
Biomedical Research , Computer Communication Networks , Computer Security , Databases as Topic , Program Evaluation
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