{"title":"Variability in academic research data management practices: Implications for data services development from a faculty survey","authors":"A. Whitmire, Michael Boock, Shan C. Sutton","doi":"10.1108/PROG-02-2015-0017","DOIUrl":null,"url":null,"abstract":"Purpose – The purpose of this paper is to demonstrate how knowledge of local research data management (RDM) practices critically informs the progressive development of research data services (RDS) after basic services have already been established. Design/methodology/approach – An online survey was distributed via e-mail to all university faculty in the fall of 2013, and was left open for just over one month. The authors sent two reminder e-mails before closing the survey. Survey data were downloaded from Qualtrics survey software and analyzed in R. Findings – In this paper, the authors reviewed a subset of survey findings that included data types, volume, and storage locations, RDM roles and responsibilities, and metadata practices. The authors found that Oregon State University (OSU) researchers are generating a wide variety of data types, and that practices vary between colleges. The authors discovered that faculty are not utilizing campus-wide storage infrastructure, and are maintaining their own stor...","PeriodicalId":49663,"journal":{"name":"Program-Electronic Library and Information Systems","volume":"49 1","pages":"382-407"},"PeriodicalIF":0.0000,"publicationDate":"2015-09-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1108/PROG-02-2015-0017","citationCount":"9","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Program-Electronic Library and Information Systems","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1108/PROG-02-2015-0017","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q","JCRName":"Social Sciences","Score":null,"Total":0}
引用次数: 9
Abstract
Purpose – The purpose of this paper is to demonstrate how knowledge of local research data management (RDM) practices critically informs the progressive development of research data services (RDS) after basic services have already been established. Design/methodology/approach – An online survey was distributed via e-mail to all university faculty in the fall of 2013, and was left open for just over one month. The authors sent two reminder e-mails before closing the survey. Survey data were downloaded from Qualtrics survey software and analyzed in R. Findings – In this paper, the authors reviewed a subset of survey findings that included data types, volume, and storage locations, RDM roles and responsibilities, and metadata practices. The authors found that Oregon State University (OSU) researchers are generating a wide variety of data types, and that practices vary between colleges. The authors discovered that faculty are not utilizing campus-wide storage infrastructure, and are maintaining their own stor...
期刊介绍:
■Automation of library and information services ■Storage and retrieval of all forms of electronic information ■Delivery of information to end users ■Database design and management ■Techniques for storing and distributing information ■Networking and communications technology ■The Internet ■User interface design ■Procurement of systems ■User training and support ■System evaluation