{"title":"SC准备好提供可靠的研究","authors":"Michela Taufer","doi":"10.1145/3632250.3632253","DOIUrl":null,"url":null,"abstract":"The reproducibility of computational results has been central topic of discussion as different scientific communities have different meanings for the same term. For a scientist, reproducibility ultimately means enabling confirmable research. We can achieve confirmable research by integrating artifact descriptors (AD) and artifact evaluators (AE) in our papers, documenting every aspect of our artifact's workflows. Agencies are investing in confirmable research; an example is a recent \"Dear Colleagues Letter\" that reinforces the need for reproducibility in open science.","PeriodicalId":87449,"journal":{"name":"ONS connect","volume":"195 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"SC is Ready to Deliver Comfirmable Research\",\"authors\":\"Michela Taufer\",\"doi\":\"10.1145/3632250.3632253\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The reproducibility of computational results has been central topic of discussion as different scientific communities have different meanings for the same term. For a scientist, reproducibility ultimately means enabling confirmable research. We can achieve confirmable research by integrating artifact descriptors (AD) and artifact evaluators (AE) in our papers, documenting every aspect of our artifact's workflows. Agencies are investing in confirmable research; an example is a recent \\\"Dear Colleagues Letter\\\" that reinforces the need for reproducibility in open science.\",\"PeriodicalId\":87449,\"journal\":{\"name\":\"ONS connect\",\"volume\":\"195 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2023-05-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"ONS connect\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/3632250.3632253\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"ONS connect","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3632250.3632253","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
The reproducibility of computational results has been central topic of discussion as different scientific communities have different meanings for the same term. For a scientist, reproducibility ultimately means enabling confirmable research. We can achieve confirmable research by integrating artifact descriptors (AD) and artifact evaluators (AE) in our papers, documenting every aspect of our artifact's workflows. Agencies are investing in confirmable research; an example is a recent "Dear Colleagues Letter" that reinforces the need for reproducibility in open science.