Journal:One tool to find them all: A case of data integration and querying in a distributed LIMS platform
Full article title | One tool to find them all: A case of data integration and querying in a distributed LIMS platform |
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Journal | Database |
Author(s) | Grand, Alberto; Geda, Emanuele; Mignone, Andrea; Bertotti, Andrea; Fiori, Alessandro |
Author affiliation(s) | Candiolo Cancer Institute, University of Torino |
Primary contact | Email: alessandro dot fiori at ircc dot it |
Year published | 2019 |
Volume and issue | 219 |
Page(s) | baz004 |
DOI | 10.1093/database/baz004 |
ISSN | 1758-0463 |
Distribution license | Creative Commons Attribution 4.0 International |
Website | https://academic.oup.com/database/article/doi/10.1093/database/baz004/5304001 |
Download | https://academic.oup.com/database/article-pdf/doi/10.1093/database/baz004/27643896/baz004.pdf (PDF) |
This article should be considered a work in progress and incomplete. Consider this article incomplete until this notice is removed. |
Abstract
In recent years, laboratory information management systems (LIMS) have been growing from mere inventory systems into increasingly comprehensive software platforms, spanning functionalities as diverse as data search, annotation, and analysis. In 2011, our institution started a LIMS project named the Laboratory Assistant Suite with the purpose of assisting researchers throughout all of their laboratory activities, providing graphical tools to support decision-making tasks and building complex analyses on integrated data. The modular architecture of the system exploits multiple databases with different technologies. To provide an efficient and easy tool for retrieving information of interest, we developed the Multi-Dimensional Data Manager (MDDM). By means of intuitive interfaces, scientists can execute complex queries without any knowledge of query languages or database structures, and easily integrate heterogeneous data stored in multiple databases. Together with the other software modules making up the platform, the MDDM has helped improve the overall quality of the data, substantially reduced the time spent with manual data entry and retrieval, and ultimately broadened the spectrum of interconnections among the data, offering novel perspectives to biomedical analysts.
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This presentation is faithful to the original, with only a few minor changes to presentation, spelling, and grammar. We also added PMCID and DOI when they were missing from the original reference.