{"title":"DSDB:一个开源的数据库版本管理系统","authors":"Eva Maxfield Brown, Nicholas M. Weber","doi":"10.1109/JCDL52503.2021.00044","DOIUrl":null,"url":null,"abstract":"In the following poster we describe the design and evaluation of DatasetDatabase (DSDB), an open-source system for handling the provenance, versioning, de-duplication, history, and query of dynamic databases in order to enable verifiable and shareable results - features necessary for fully reproducible computational modeling research. We present empirical work that motivates an initial design and deployment of DSDB, evaluate the results of this work for computational modeling at the Allen Institute for Cell Science, and conclude with a discussion of the future work necessary for provisioning data discovery and sharing tools that facilitate transparent reproducible research through provenance aware features.","PeriodicalId":112400,"journal":{"name":"2021 ACM/IEEE Joint Conference on Digital Libraries (JCDL)","volume":"10 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"DSDB: An Open-Source System for Database Versioning & Curation\",\"authors\":\"Eva Maxfield Brown, Nicholas M. Weber\",\"doi\":\"10.1109/JCDL52503.2021.00044\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In the following poster we describe the design and evaluation of DatasetDatabase (DSDB), an open-source system for handling the provenance, versioning, de-duplication, history, and query of dynamic databases in order to enable verifiable and shareable results - features necessary for fully reproducible computational modeling research. We present empirical work that motivates an initial design and deployment of DSDB, evaluate the results of this work for computational modeling at the Allen Institute for Cell Science, and conclude with a discussion of the future work necessary for provisioning data discovery and sharing tools that facilitate transparent reproducible research through provenance aware features.\",\"PeriodicalId\":112400,\"journal\":{\"name\":\"2021 ACM/IEEE Joint Conference on Digital Libraries (JCDL)\",\"volume\":\"10 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2021-09-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2021 ACM/IEEE Joint Conference on Digital Libraries (JCDL)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/JCDL52503.2021.00044\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 ACM/IEEE Joint Conference on Digital Libraries (JCDL)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/JCDL52503.2021.00044","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
DSDB: An Open-Source System for Database Versioning & Curation
In the following poster we describe the design and evaluation of DatasetDatabase (DSDB), an open-source system for handling the provenance, versioning, de-duplication, history, and query of dynamic databases in order to enable verifiable and shareable results - features necessary for fully reproducible computational modeling research. We present empirical work that motivates an initial design and deployment of DSDB, evaluate the results of this work for computational modeling at the Allen Institute for Cell Science, and conclude with a discussion of the future work necessary for provisioning data discovery and sharing tools that facilitate transparent reproducible research through provenance aware features.