Academic libraries are repositioning, restructuring and reskilling staff to take on new roles in research data management (Lyon 2012, Webster 2012). These roles embrace elements of data stewardship, data management, data science and data visualization (Lyon & Takeda 2012). iSchools and Library Schools are introducing data curation into the curriculum, to prepare students for these roles. This paper presents a Case Study where an “immersive” approach to teaching research data management (RDM) constructs, is embedded within a Doctoral Seminar Program and an MLIS Special Topic at the University of Pittsburgh iSchool. \ud The methodology builds on the initial immersive informatics pilot study, where a novel RDM training course was developed and...
With funding from the Institute of Museum and Library Services, the Libraries of the University of M...
This paper presents the findings, lessons learned and next steps associated with the implementation...
Panel presentationManaging research data effectively is critical to producing high quality datasets ...
Objective: This paper describes a project to revise an existing research data management (RDM) cours...
The paper explains the approach taken in the UK Jisc-funded RDMRose project to developing a study mo...
© 2014 Anna Shadbolt, Leo Konstantelos, Liz Lyon, & Marieke GuyThis paper presents the findings, les...
BackgroundBetter research data management (RDM) provides the means to analyze data in new ways, effe...
Editor: Julia Bauder Chapter: Creating Capacity for Research Data Services at Regional Universities:...
This is the publisher’s final PDF. The published article is copyrighted by Amanda L. Whitmire, and c...
After years of building the infrastructure for data literacy and data management through various lib...
The intersection of data literacy and research data management (RDM) training continues to be an imp...
Wiljes C, Cimiano P. Teaching Research Data Management Skills to Students. Presented at the Göttinge...
This paper reports on the design, delivery and assessment of a model for internal library education ...
This paper presents the findings, lessons learned and next steps associated with the implementation ...
AbstractResearch Data Management is broadly understood as collecting, analyzing, publishing, reanaly...
With funding from the Institute of Museum and Library Services, the Libraries of the University of M...
This paper presents the findings, lessons learned and next steps associated with the implementation...
Panel presentationManaging research data effectively is critical to producing high quality datasets ...
Objective: This paper describes a project to revise an existing research data management (RDM) cours...
The paper explains the approach taken in the UK Jisc-funded RDMRose project to developing a study mo...
© 2014 Anna Shadbolt, Leo Konstantelos, Liz Lyon, & Marieke GuyThis paper presents the findings, les...
BackgroundBetter research data management (RDM) provides the means to analyze data in new ways, effe...
Editor: Julia Bauder Chapter: Creating Capacity for Research Data Services at Regional Universities:...
This is the publisher’s final PDF. The published article is copyrighted by Amanda L. Whitmire, and c...
After years of building the infrastructure for data literacy and data management through various lib...
The intersection of data literacy and research data management (RDM) training continues to be an imp...
Wiljes C, Cimiano P. Teaching Research Data Management Skills to Students. Presented at the Göttinge...
This paper reports on the design, delivery and assessment of a model for internal library education ...
This paper presents the findings, lessons learned and next steps associated with the implementation ...
AbstractResearch Data Management is broadly understood as collecting, analyzing, publishing, reanaly...
With funding from the Institute of Museum and Library Services, the Libraries of the University of M...
This paper presents the findings, lessons learned and next steps associated with the implementation...
Panel presentationManaging research data effectively is critical to producing high quality datasets ...