Transplant2Mongo: Python Scripts that Insert Organ Procurement and Transplantation Network (OPTN) Data in MongoDB

Q1 Social Sciences
Christine Harvey, R. Weigel
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引用次数: 6

Abstract

transplant2mongo allows users to transform Standard Transplant Analysis and Research (STAR) ASCII data files from the Organ Procurement and Transplantation Network (OPTN) into a MongoDB database [1, 2]. The STAR data are a complex collection of tab-separated files with inter-related records that are not amenable to complex queries. A researcher planning to use OPTN STAR data can use transplant2mongo to convert the data into a MongoDB database and then use open-source tool software for analysis. The source code for transplant2mongo is available on GitHub at https://github.com/ceharvs/transplant2mongo and includes sample data files for initial testing and queries. Funding Statement: The software referenced herein is copyright of The MITRE Corporation and the result of MITRE’s Early Career Research program and work done in the Computational Science and Informatics program at George Mason University. Approved for Public Release; Distribution Unlimited. Case Number 18-0298. The author’s affiliation with The MITRE Corporation is provided for identification purposes only and is not intended to convey or imply MITRE’s concurrence with, or support for, the positions, opinions, or viewpoints expressed by the author.
Transplant2Mongo:Python脚本在MongoDB中插入器官采购和移植网络(OPTN)数据
Transplantation 2mongo允许用户将器官采购和移植网络(OPTN)的标准移植分析和研究(STAR)ASCII数据文件转换为MongoDB数据库[1,2]。STAR数据是一个由选项卡分隔的文件组成的复杂集合,其中包含不适用于复杂查询的相互关联的记录。计划使用OPTN STAR数据的研究人员可以使用plantation 2mongo将数据转换为MongoDB数据库,然后使用开源工具软件进行分析。移植2mongo的源代码可在GitHub上获得,网址为https://github.com/ceharvs/transplant2mongo并且包括用于初始测试和查询的样本数据文件。资金声明:本文引用的软件版权归MITRE公司所有,是MITRE早期职业研究项目和乔治梅森大学计算科学与信息学项目的成果。批准公开发布;分发无限制。案件编号18-0298。提交人与MITRE公司的关系仅用于身份识别目的,并不表示或暗示MITRE同意或支持提交人表达的立场、意见或观点。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Journal of Open Research Software
Journal of Open Research Software Social Sciences-Library and Information Sciences
CiteScore
6.50
自引率
0.00%
发文量
7
审稿时长
21 weeks
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