Literature DB >> 31029262

EMIF Catalogue: A collaborative platform for sharing and reusing biomedical data.

José Luís Oliveira1, Alina Trifan2, Luís A Bastião Silva3.   

Abstract

OBJECTIVE: The collaboration and knowledge exchange between researchers are often hindered by the nonexistence of accurate information about which databases may support research studies. Even though a considerable amount of patient health information does exist, it is usually distributed and hidden in many institutions. The goal of this project is to provide, for any research community, a holistic view of biomedical datasets of interests, from which researchers can explore several distinct levels of granularity.
METHODS: We developed a community-centered approach to facilitate data sharing while ensuring privacy. A dynamic schema allows exposing any metadata model about existing repositories. The framework was developed following a modular plugin-based architecture that facilitates the integration of internal and external tools.
RESULTS: The EMIF Catalogue, a web platform for sharing and reusing biomedical data. Through this system, data custodians can publish and share different levels of information, while the researchers can search for databases that fulfill research requirements.
CONCLUSIONS: The EMIF Catalogue currently fosters several distinct research communities, with different levels of data governance, combining, for instance, data available in pan-European EHR and Alzheimer cohorts. This portal is publicly available at https://emif-catalogue.eu.
Copyright © 2019 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Biomedical data integration; Data catalogue; Data discovery; Data reuse; Data sharing; Research study

Mesh:

Year:  2019        PMID: 31029262     DOI: 10.1016/j.ijmedinf.2019.02.006

Source DB:  PubMed          Journal:  Int J Med Inform        ISSN: 1386-5056            Impact factor:   4.046


  4 in total

1.  ADataViewer: exploring semantically harmonized Alzheimer's disease cohort datasets.

Authors:  Yasamin Salimi; Daniel Domingo-Fernández; Carlos Bobis-Álvarez; Martin Hofmann-Apitius; Colin Birkenbihl
Journal:  Alzheimers Res Ther       Date:  2022-05-21       Impact factor: 8.823

2.  Methotrexate and relative risk of dementia amongst patients with rheumatoid arthritis: a multi-national multi-database case-control study.

Authors:  Danielle Newby; Daniel Prieto-Alhambra; Talita Duarte-Salles; David Ansell; Lars Pedersen; Johan van der Lei; Mees Mosseveld; Peter Rijnbeek; Glen James; Myriam Alexander; Peter Egger; Jana Podhorna; Robert Stewart; Gayan Perera; Paul Avillach; Solène Grosdidier; Simon Lovestone; Alejo J Nevado-Holgado
Journal:  Alzheimers Res Ther       Date:  2020-04-06       Impact factor: 6.982

3.  ANMerge: A Comprehensive and Accessible Alzheimer's Disease Patient-Level Dataset.

Authors:  Colin Birkenbihl; Sarah Westwood; Liu Shi; Alejo Nevado-Holgado; Eric Westman; Simon Lovestone; Martin Hofmann-Apitius
Journal:  J Alzheimers Dis       Date:  2021       Impact factor: 4.472

4.  Evaluating the Alzheimer's disease data landscape.

Authors:  Colin Birkenbihl; Yasamin Salimi; Daniel Domingo-Fernándéz; Simon Lovestone; Holger Fröhlich; Martin Hofmann-Apitius
Journal:  Alzheimers Dement (N Y)       Date:  2020-12-16
  4 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.