Dataverse North Working Group

• Lisa Goddard, University of Victoria (Chair)
• Eugene Barsky, University of British Columbia
• Carrie Breton, University of Guelph
• Alexandra Cooper, Queen’s University
• Jean-Yves Côte, HEC Montréal
• Corey Davis, Council of Prairie and Pacific University Libraries
• James Doiron, University of Alberta
• Alison Farrell, Memorial University
• Martine Gagnon, Université Laval
• Meghan Goodchild, Queen’s University/Scholars Portal
• Mark Goodwin, University of British Columbia
• Siobhan Hanratty, University of New Brunswick
• John Huck, University of Alberta
• Alexander Jerabek, Université de Québec à Montréal
• Amber Leahey, Scholar’s Portal
• Erin MacPherson, Dalhousie University
• Kaitlin Newson, Scholars Portal
• Kathryn Ruddock, University of Calgary
• Diane Sauvé, Université de Montréal
• Michael Steeleworthy, Wilfrid Laurier University
• Sarah Stevenson, Dalhousie University
• Sally Taylor, University of British Columbia
• Kristi Thompson, Western University
• Barbara Znamirowski, Trent University

Objectives

• Gather information about the major Canadian Dataverse providers, including fees and funding models, service level agreements, versions, levels of support, limitations
• Coordinate and develop a framework for Dataverse hosting and support services for designated libraries or other special interests that do not currently have a place to deposit research data
• Explore a common business model to level the access to universities across Canada
• Identify major challenges for service providers and possible solutions

Members

• Corey Davis, University of Victoria (Chair)
• Meghan Goodchild, Queen’s University/Scholars Portal
• Alexander Jerabek, Université de Québec à Montréal
• Amber Leahey, Scholars Portal
• Diane Sauvé, Université de Montréal 
• Sarah Stevenson, Dalhousie University
• Kristi Thompson, Western University

Objectives

• Identify the types of Dataverse training that are most desirable for librarians, library staff
• Identify the kinds of Dataverse training that are most desirable for faculty, researchers
• Gather existing training documentation from members and related organizations
• Propose models for sharing documents and offering shared training sessions
• Assess and evaluate Dataverse as a tool for different types of data
• Work with the Portage Training Expert Group

Members

• Carrie Breton, University of Guelph (co-Chair)
• Siobhan Hanratty, University of New Brunswick (co-Chair)
• Jean-Yves Côte, HEC Montréal
• James Doiron, University of Alberta 
• Alison Farrell, Memorial University
• Erin MacPherson, Dalhousie University
• Kaitlin Newson, Scholars Portal
• Kathryn Ruddock, University of Calgary
• Barb Znamirowski, Trent University

Objectives

• Provide recommendations for a default Portage metadata template
• Provide recommendations for discipline-specific Portage metadata template(s)
• Create recommendations for labeling, describing and organizing files
• Identify training opportunities, in collaboration with the Dataverse Training Group
• Provide recommendations for DOIs and other unique identifiers

Members

• Sally Taylor, University of British Columbia (Chair)
• Alexandra Cooper, Queen’s University 
• Martine Gagnon, Université Laval
• Mark Goodwin, University of British Columbia
• John Huck, University of Alberta
• Amber Leahey, Scholars Portal
• Mike Steeleworthy, Wilfrid Laurier University

• Dataverse North Metadata Best Practices Guide V1.1, by members of the Portage Metadata subgroup of the Dataverse North Working Group. June 2019. (PDF)
• Dataverse North Metadata Best Practices Guide V1.0, by members of the Portage Metadata subgroup of the Dataverse North Working Group. April 2019. (PDF)

Repository Options in Canada: A Portage Guide (PDF)

Portage supports two national repository options: the Federated Research Data Repository (FRDR) and Dataverse North. As a part of Portage’s Federated Architecture Model, we have partnered with Compute Canada, OCUL Scholars Portal, and institutions offering Dataverse to provide hosted repository options that do not require installing, configuring, patching, or upgrading by individual institutions or researchers.