Linking mechanisms in data repositories: A case study of BioSample database

Jian Qin; Alicia Leathers; Vivian Tompkins

doi:10.1002/pra2.365

Linking mechanisms in data repositories: A case study of BioSample database

Jian Qin, Alicia Leathers, Vivian Tompkins

School of Information Studies

Research output: Contribution to journal › Article › peer-review

Abstract

This poster reports upon a case study of the linking mechanisms in the NCBI BioSample database and its immediate connections, examining the types of links, their functions, and implications according to the FAIR data principles. The study allowed the authors to conduct a more detailed analysis of one area of data management by focusing on one database's linking mechanisms, providing a glimpse into the role of linking mechanisms to support biomedical research and discovery and serving as a model for future studies.

Original language	English (US)
Article number	e365
Journal	Proceedings of the Association for Information Science and Technology
Volume	57
Issue number	1
DOIs	https://doi.org/10.1002/pra2.365
State	Published - 2020

Keywords

BioSample database
evaluation of FAIR data
link types
linking in data repositories
metadata

ASJC Scopus subject areas

General Computer Science
Library and Information Sciences

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10.1002/pra2.365

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title = "Linking mechanisms in data repositories: A case study of BioSample database",

abstract = "This poster reports upon a case study of the linking mechanisms in the NCBI BioSample database and its immediate connections, examining the types of links, their functions, and implications according to the FAIR data principles. The study allowed the authors to conduct a more detailed analysis of one area of data management by focusing on one database's linking mechanisms, providing a glimpse into the role of linking mechanisms to support biomedical research and discovery and serving as a model for future studies.",

keywords = "BioSample database, evaluation of FAIR data, link types, linking in data repositories, metadata",

author = "Jian Qin and Alicia Leathers and Vivian Tompkins",

note = "Publisher Copyright: 83rd Annual Meeting of the Association for Information Science & Technology October 25-29, 2020. Author(s) retain copyright, but ASIS&T receives an exclusive publication license.",

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AU - Leathers, Alicia

AU - Tompkins, Vivian

N1 - Publisher Copyright: 83rd Annual Meeting of the Association for Information Science & Technology October 25-29, 2020. Author(s) retain copyright, but ASIS&T receives an exclusive publication license.

PY - 2020

Y1 - 2020

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AB - This poster reports upon a case study of the linking mechanisms in the NCBI BioSample database and its immediate connections, examining the types of links, their functions, and implications according to the FAIR data principles. The study allowed the authors to conduct a more detailed analysis of one area of data management by focusing on one database's linking mechanisms, providing a glimpse into the role of linking mechanisms to support biomedical research and discovery and serving as a model for future studies.

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KW - evaluation of FAIR data

KW - link types

KW - linking in data repositories

KW - metadata

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Linking mechanisms in data repositories: A case study of BioSample database

Abstract

Keywords

ASJC Scopus subject areas

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