@article {Souillard2005453,
	title = {A flexible framework for managing temporal clinical trial data},
	journal = {International Journal of Electronic Healthcare},
	volume = {1},
	number = {4},
	year = {2005},
	note = {cited By (since 1996) 2},
	pages = {453-463},
	abstract = {Clinical trials are processes that produce large volumes of complex data, with inherent temporal requirements, since the state of patients evolves during the trials, and the data acquisition phase itself needs to be monitored. Additionally, since the requirements for all clinical trials have a significant common portion, it is desirable to capture these common requirements in a generalised framework, which will be instantiated for each specific trial by supplementing the trial-specific requirements. In this paper, we present an integral approach to clinical trial management, using a temporal object-oriented methodology to capture and model the requirements, a temporal OODBMS for data storage and a generalised template application, through which trial-specific applications may be generated. Copyright Β{\textcopyright} 2005 Inderscience Enterprises Ltd.},
	keywords = {data base, information processing, medical information system, medical research, patient information, Quality control, review, telecommunication},
	doi = {10.1504/IJEH.2005.006691},
	url = {http://www.scopus.com/inward/record.url?eid=2-s2.0-21244469415\&partnerID=40\&md5=10bcf05c2826591c7ee952d0b3eecb1b},
	author = {Michael Souillard and Souveyet, C. and Costas Vassilakis and Anya Sotiropoulou}
}
@conference {DBLP:conf/iadt/SotiropoulouSV98,
	title = {Temporal Extension to ODMG},
	booktitle = {IADT},
	year = {1998},
	month = {7},
	pages = {304-311},
	abstract = {In the past years a number of temporal extensions to the different database models have been proposed. Extensions to the relational model have been following the different SQL standards, while no attempts have been made to extend the OO-databases{\textquoteright} standard, defined by ODMG. In this paper we present a temporal extension to the ODMG standard, as this has been specified in the TOOBIS project. A Temporal Object Data Model, a Temporal Object Definition Language and a Temporal Object Query Language have been specified and have been proposed as extensions to the ODM, ODL and OQL of ODMG. This extension has been implemented over a commercial OODBMS, reinforcing and validating the effort of standardisation and portability of this extension.},
	author = {Anya Sotiropoulou and Michael Souillard and Costas Vassilakis}
}
@conference {DBLP:conf/inforsid/SouillardVS98,
	title = {TOOBIS: Application de la gestion de donn{\'e}es temporelles dans le domaine de la recherche clinique},
	booktitle = {INFORSID},
	year = {1998},
	month = {5},
	pages = {147-165},
	abstract = {Les donn?es temporelles, c{\textquoteright}est-?-dire des donn?es ?voluant dans le temps et pour lesquelles il est int?ressant de maintenir un historique des valeurs, ne sont pas utilis?es dans l{\textquoteright}industrie. Mais cela ne veut pas dire pour autant que les diverses applications existantes ne g?rent que des donn?es non temporelles. En fait, des donn?es temporelles doivent ?tre g?r?es par un grand nombre d{\textquoteright}applications et de secteurs industriels tels que la finance, l{\textquoteright}assurance, le suivi m?dical, les services de r?servation, etc. Ces applications utilisent le plus souvent le r?sultat de d?veloppements internes simulant des donn?es temporelles, qui peuvent ?tre co?teux. Le march? des solutions pour manipuler des donn?es temporelles est encore limit?, et ne r?pond pas ? tous les besoins. Cet article pr?sente les r?sultats du projet europ?en TOOBIS - Temporal Object Oriented dataBase within Information System - en mettant l{\textquoteright}accent sur une application g?rant des donn?es temporelles, d?velopp?e dans le domaine de la Recherche Clinique. TOOBIS propose une extension du standard des bases de donn?es orient?es objet afin de fournir un syst?me de gestion des bases de donn?es temporelles complet, ainsi qu{\textquoteright}une m?thodologie de conception temporelle.},
	author = {Michael Souillard and Costas Vassilakis and Anya Sotiropoulou}
}
