Reproducible Research Publication Workflow:A Canonical Workflow Framework and FAIR Digital Object Approach to Quality Research Output

作     者：Limor Peer Claudia Biniossek Dirk Betz Thu-Mai Christian 

作者机构：Institution for Social and Policy StudiesYale UniversityConnecticut 06520USA Center for Empirical Research in Economics and Behavioral Sciences(CEREB)University of ErfurtThuringen 99089Germany Odum Institute for Research in Social ScienceUniversity of North Carolina SystemNorth Carolina 27514-3916USA 

出 版 物：《Data Intelligence》 (数据智能（英文）)

年 卷 期：2022年第4卷第2期

页      面：306-319页

核心收录：

学科分类：050302[文学-传播学] 12[管理学] 1201[管理学-管理科学与工程(可授管理学、工学学位)] 05[文学] 0503[文学-新闻传播学] 

基　　金：funding from the Institute of Museum and Library Services(RE-36-19-0081-19) 

主　　题：FAIR research output FAIR Digital Objects Reproducible research Research compendium Compendium publication workflow Data quality review 

摘      要：In this paper we present the Reproducible Research Publication Workflow(RRPW)as an example of how generic canonical workflows can be applied to a specific *** RRPW includes essential steps between submission and final publication of the manuscript and the research artefacts(i.e.,data,code,etc.)that underlie the scholarly claims in the manuscript.A key aspect of the RRPW is the inclusion of artefact review and metadata creation as part of the publication *** paper discusses a formalized technical structure around a set of canonical steps which helps codify and standardize the process for researchers,curators,and *** proposed application of canonical workflows can help achieve the goals of improved transparency and reproducibility,increase FAIR compliance of all research artefacts at all steps,and facilitate better exchange of annotated and machine-readable metadata.