@inproceedings{de9762d6be954ccaa2b726799c09e46a,
title = "Intelligent Integrative Platform for Sharing Heterogenuous Stem Cell Research Data",
abstract = "Recent studies demonstrated that comparative analysis of stem cell research data sets originating from multiple studies can produce new information and help with hypotheses generation. Effective approaches for incorporating multiple diverse heterogeneous data sets collected from stem cell projects into a harmonized project-based framework have been lacking. Here, we provide an intelligent informatics solution for integrating comprehensive characterizations of stem cells with research subject and project outcome information. Our platform is the first to seamlessly integrate information from iPSCs and cancer stem cell research into a single platform, using a multi-modular common data element framework. Heterogeneous data is validated using predefined ontologies and stored in a relational database, to ensure data quality and ease of access. Testing was performed using 103 published, publicly-available iPSC and cancer stem cell projects conducted in clinical, preclinical and in vitro evaluations. We validated the robustness of the platform, by seamlessly harmonizing diverse data elements, and demonstrated its potential for knowledge generation through the aggregation and harmonization of data. Future aims of this project include increasing the database size using crowdsourcing and natural language processing functionalities. The platform is publicly available at https://remedy.mssm.edu/.",
keywords = "Common data elements, cancer stem cells, induced pluripotent stem cells",
author = "Kirill Borziak and Irena Parvanova and Joseph Finkelstein",
note = "Publisher Copyright: {\textcopyright} 2021 The European Federation for Medical Informatics (EFMI) and IOS Press. All rights reserved.; 2021 European Federation for Medical Informatics (EFMI) Special Topic Conference, STC 2021 ; Conference date: 22-11-2021 Through 24-11-2021",
year = "2021",
month = nov,
day = "18",
doi = "10.3233/SHTI210826",
language = "English",
series = "Studies in Health Technology and Informatics",
publisher = "IOS Press BV",
pages = "109--113",
editor = "Jaime Delgado and Arriel Benis and {de Toledo}, Paula and Parisis Gallos and Mauro Giacomini and Alicia Martinez-Garcia and Dario Salvi",
booktitle = "Applying the FAIR Principles to Accelerate Health Research in Europe in the Post COVID-19 Era - Proceedings of the 2021 EFMI Special Topic Conference",
address = "Netherlands",
}