Informatics Approaches for Harmonized Intelligent Integration of Stem Cell Research

Joseph Finkelstein, 1 Irena Parvanova, 1 Frederick Zhang 2 1Department of Population Health Science and Policy, Icahn School of Medicine at Mount Sinai, New York, NY, USA; 2Center for Bioinformatics and Data Analytics, Columbia University, New York, NY, USACorrespondence: Joseph FinkelsteinDepartm...

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Autores principales:	Finkelstein J, Parvanova I, Zhang F
Formato:	article
Lenguaje:	EN
Publicado:	Dove Medical Press 2020
Materias:	stem cells data integration databases Cytology QH573-671
Acceso en línea:	https://doaj.org/article/309660bff30a4c938f1f8374e5637a80
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spelling	oai:doaj.org-article:309660bff30a4c938f1f8374e5637a802021-12-02T09:12:17ZInformatics Approaches for Harmonized Intelligent Integration of Stem Cell Research1178-6957https://doaj.org/article/309660bff30a4c938f1f8374e5637a802020-01-01T00:00:00Zhttps://www.dovepress.com/informatics-approaches-for-harmonized-intelligent-integration-of-stem--peer-reviewed-article-SCCAAhttps://doaj.org/toc/1178-6957Joseph Finkelstein, 1 Irena Parvanova, 1 Frederick Zhang 2 1Department of Population Health Science and Policy, Icahn School of Medicine at Mount Sinai, New York, NY, USA; 2Center for Bioinformatics and Data Analytics, Columbia University, New York, NY, USACorrespondence: Joseph FinkelsteinDepartment of Population Health Science and Policy, Icahn School of Medicine at Mount Sinai, 1425 Madison Ave, Icahn L2-36, New York, NY 10029, USATel +1 212-659-9596Email Joseph.Finkelstein@mssm.eduAbstract: As biomedical data integration and analytics play an increasing role in the field of stem cell research, it becomes important to develop ways to standardize, aggregate, and share data among researchers. For this reason, many databases have been developed in recent years in an attempt to systematically warehouse data from different stem cell projects and experiments at the same time. However, these databases vary widely in their implementation and structure. The aim of this scoping review is to characterize the main features of available stem cell databases in order to identify specifications useful for implementation in future stem cell databases. We conducted a scoping review of peer-reviewed literature and online resources to identify and review available stem cell databases. To identify the relevant databases, we performed a PubMed search using relevant MeSH terms followed by a web search for databases which may not have an associated journal article. In total, we identified 16 databases to include in this review. The data elements reported in these databases represented a broad spectrum of parameters from basic socio-demographic variables to various cells characteristics, cell surface markers expression, and clinical trial results. Three broad sets of functional features that provide utility for future stem cell research and facilitate bioinformatics workflows were identified. These features consisted of the following: common data elements, data visualization and analysis tools, and biomedical ontologies for data integration. Stem cell bioinformatics is a quickly evolving field that generates a growing number of heterogeneous data sets. Further progress in the stem cell research may be greatly facilitated by development of applications for intelligent stem cell data aggregation, sharing and collaboration process.Keywords: stem cells, data integration, databasesFinkelstein JParvanova IZhang FDove Medical Pressarticlestem cellsdata integrationdatabasesCytologyQH573-671ENStem Cells and Cloning: Advances and Applications, Vol Volume 13, Pp 1-20 (2020)
institution	DOAJ
collection	DOAJ
language	EN
topic	stem cells data integration databases Cytology QH573-671
spellingShingle	stem cells data integration databases Cytology QH573-671 Finkelstein J Parvanova I Zhang F Informatics Approaches for Harmonized Intelligent Integration of Stem Cell Research
description	Joseph Finkelstein, 1 Irena Parvanova, 1 Frederick Zhang 2 1Department of Population Health Science and Policy, Icahn School of Medicine at Mount Sinai, New York, NY, USA; 2Center for Bioinformatics and Data Analytics, Columbia University, New York, NY, USACorrespondence: Joseph FinkelsteinDepartment of Population Health Science and Policy, Icahn School of Medicine at Mount Sinai, 1425 Madison Ave, Icahn L2-36, New York, NY 10029, USATel +1 212-659-9596Email Joseph.Finkelstein@mssm.eduAbstract: As biomedical data integration and analytics play an increasing role in the field of stem cell research, it becomes important to develop ways to standardize, aggregate, and share data among researchers. For this reason, many databases have been developed in recent years in an attempt to systematically warehouse data from different stem cell projects and experiments at the same time. However, these databases vary widely in their implementation and structure. The aim of this scoping review is to characterize the main features of available stem cell databases in order to identify specifications useful for implementation in future stem cell databases. We conducted a scoping review of peer-reviewed literature and online resources to identify and review available stem cell databases. To identify the relevant databases, we performed a PubMed search using relevant MeSH terms followed by a web search for databases which may not have an associated journal article. In total, we identified 16 databases to include in this review. The data elements reported in these databases represented a broad spectrum of parameters from basic socio-demographic variables to various cells characteristics, cell surface markers expression, and clinical trial results. Three broad sets of functional features that provide utility for future stem cell research and facilitate bioinformatics workflows were identified. These features consisted of the following: common data elements, data visualization and analysis tools, and biomedical ontologies for data integration. Stem cell bioinformatics is a quickly evolving field that generates a growing number of heterogeneous data sets. Further progress in the stem cell research may be greatly facilitated by development of applications for intelligent stem cell data aggregation, sharing and collaboration process.Keywords: stem cells, data integration, databases
format	article
author	Finkelstein J Parvanova I Zhang F
author_facet	Finkelstein J Parvanova I Zhang F
author_sort	Finkelstein J
title	Informatics Approaches for Harmonized Intelligent Integration of Stem Cell Research
title_short	Informatics Approaches for Harmonized Intelligent Integration of Stem Cell Research
title_full	Informatics Approaches for Harmonized Intelligent Integration of Stem Cell Research
title_fullStr	Informatics Approaches for Harmonized Intelligent Integration of Stem Cell Research
title_full_unstemmed	Informatics Approaches for Harmonized Intelligent Integration of Stem Cell Research
title_sort	informatics approaches for harmonized intelligent integration of stem cell research
publisher	Dove Medical Press
publishDate	2020
url	https://doaj.org/article/309660bff30a4c938f1f8374e5637a80
work_keys_str_mv	AT finkelsteinj informaticsapproachesforharmonizedintelligentintegrationofstemcellresearch AT parvanovai informaticsapproachesforharmonizedintelligentintegrationofstemcellresearch AT zhangf informaticsapproachesforharmonizedintelligentintegrationofstemcellresearch
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Informatics Approaches for Harmonized Intelligent Integration of Stem Cell Research

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