This mixed method study determined the essential tools and services required for research data management to aid academic researchers in fulfilling emerging funding agency and journal requirements. Focus groups were conducted and a rating exercise was designed to rank potential services. Faculty conducting research at the University of Toronto were recruited; 28 researchers participated in four focus groups from June– August 2016. Two investigators independently coded the transcripts from the focus groups and identified four themes: 1) seamless infrastructure, 2) data security, 3) developing skills and knowledge, and 4) anxiety about releasing data. Researchers require assistance with the secure storage of data and favour tools that are eas...
The study sought to gain a holistic understanding of NUST researcher's data management practices in ...
Research data management (RDM) has become a professional imperative for Canada’s academic librarians...
AbstractThe emergence of data intensive science and the establishment of data management mandates ha...
This mixed method study determined the essential tools and services required for research data manag...
Background In 2015, the Tri-Council funding agencies announced the intention to release guidelines...
Presented at the University of Arizona 2016 IT SummitThe past several years has seen an increasing e...
Our university library has a long history of supporting the data acquisition and analysis needs of c...
Academic research libraries are quickly developing support for research data management (RDM), incl...
Understanding researcher behaviour and workflow is instrumental to developing reflective service. Wi...
Understanding researcher behaviour and workflow is instrumental to developing reflective service. Wi...
This paper was presented at the IATUL 2015 "Strategic Partnerships for Access and Discovery" Confere...
This paper was presented at the IATUL 2015 "Strategic Partnerships for Access and Discovery" Confere...
There is power in collaboration. With academic institutions across Canada preparing for possible cha...
There is power in collaboration. With academic institutions across Canada preparing for possible cha...
Background: In June 2016, the Tri-Council Agencies released a statement regarding Digital Data Man...
The study sought to gain a holistic understanding of NUST researcher's data management practices in ...
Research data management (RDM) has become a professional imperative for Canada’s academic librarians...
AbstractThe emergence of data intensive science and the establishment of data management mandates ha...
This mixed method study determined the essential tools and services required for research data manag...
Background In 2015, the Tri-Council funding agencies announced the intention to release guidelines...
Presented at the University of Arizona 2016 IT SummitThe past several years has seen an increasing e...
Our university library has a long history of supporting the data acquisition and analysis needs of c...
Academic research libraries are quickly developing support for research data management (RDM), incl...
Understanding researcher behaviour and workflow is instrumental to developing reflective service. Wi...
Understanding researcher behaviour and workflow is instrumental to developing reflective service. Wi...
This paper was presented at the IATUL 2015 "Strategic Partnerships for Access and Discovery" Confere...
This paper was presented at the IATUL 2015 "Strategic Partnerships for Access and Discovery" Confere...
There is power in collaboration. With academic institutions across Canada preparing for possible cha...
There is power in collaboration. With academic institutions across Canada preparing for possible cha...
Background: In June 2016, the Tri-Council Agencies released a statement regarding Digital Data Man...
The study sought to gain a holistic understanding of NUST researcher's data management practices in ...
Research data management (RDM) has become a professional imperative for Canada’s academic librarians...
AbstractThe emergence of data intensive science and the establishment of data management mandates ha...