Documentation


Autoria(s): Zaraiskaya, Tatiana; Cooper, Alexandra; Moon, Jeff; Murphy, Sharon; Saleh, Nasser
Data(s)

10/06/2016

10/06/2016

10/06/2016

Resumo

In order to become better prepared to support Research Data Management (RDM) practices in sciences and engineering, Queen’s University Library, together with the University Research Services, conducted a research study of all ranks of faculty members, as well as postdoctoral fellows and graduate students at the Faculty of Engineering & Applied Science, Departments of Chemistry, Computer Science, Geological Sciences and Geological Engineering, Mathematics and Statistics, Physics, Engineering Physics & Astronomy, School of Environmental Studies, and Geography & Planning in the Faculty of Arts and Science.

Identificador

http://hdl.handle.net/1974/14550

Idioma(s)

en

Palavras-Chave #Data Storage #Research data management (RDM) #Big data #Program script #Data sharing