Abstract | ||
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Today's biomedical research shows similar characteristics with manufacturing industry 20 years ago. Biomedical data are more and more complex and heterogeneous due to recent scientific discoveries and technological innovations. In a previous work, the Product Lifecycle Management (PLM) paradigm was applied to neuroimaging research to manage heterogeneous data and their provenance. A BMI-LM data model and an associated platform were proposed to enable data reuse and sharing in neuroimaging. Here, this application is extended to biomedical data related to Histology, Proteomics, and PET-CT modalities. Data originate from the IVIR laboratory in preclinical research of the Paris Cardiovascular Research Center (PARCC). We proposed a data and workflow integration method and applied them to the collected preclinical data. An extended version of the data model, that we called BMS-LM for BioMedical Study - Lifecycle Management, was developed. Three concepts were added to the data model: Agent, Sample and Intervention. As a proof of concept, samples of imported data from the three identified modalities are given. Results support the use of the BMS-LM data model and system to ameliorate trust of biomedical data and prospectively their reuse. |
Year | DOI | Venue |
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2021 | 10.1007/978-3-030-94399-8_14 | PRODUCT LIFECYCLE MANAGEMENT: GREEN AND BLUE TECHNOLOGIES TO SUPPORT SMART AND SUSTAINABLE ORGANIZATIONS, PT II |
Keywords | DocType | Volume |
PLM, Information integration, Workflow, Traceability, Provenance, Heterogeneous data | Conference | 640 |
ISSN | Citations | PageRank |
1868-4238 | 0 | 0.34 |
References | Authors | |
0 | 13 |
Name | Order | Citations | PageRank |
---|---|---|---|
Amel Raboudi | 1 | 0 | 0.34 |
Pierre-Yves Hervé | 2 | 0 | 0.34 |
Marianne Allanic | 3 | 0 | 0.34 |
Daniel Balvay | 4 | 0 | 0.34 |
Roberto Duarte | 5 | 0 | 0.34 |
Ismael Bakayako | 6 | 0 | 0.34 |
Thomas Viel | 7 | 0 | 0.34 |
Anais Certain | 8 | 0 | 0.34 |
Thulaciga Yoganathan | 9 | 0 | 0.34 |
Philippe Boutinaud | 10 | 0 | 0.34 |
Alexandre Durupt | 11 | 14 | 5.78 |
Bertrand Tavitian | 12 | 0 | 0.34 |
Benoît Eynard | 13 | 0 | 0.34 |