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Network of Experts

The Network of Experts is critical in developing and providing resources, expert advice and practical help to assist with the management of research data at every stage of the data lifecycle. Our experts include librarians, data management professionals, institutional research officers, ethics officers and members of government and non-governmental organizations from across Canada.

Expert and Working Groups are ongoing and responsible for particular stages related to the RDM life cycle. Current Groups include:

Data curation is a fundamental component of good research data management and a requisite to creating FAIR datasets. By implementing practices, techniques and tools to improve the quality of data and metadata, data curation makes data transportable across systems; facilitates its dissemination, reuse and preservation; and enables interoperability with other products. Through its application to all stages of the data lifecycle, data curation connects the researchers, data professionals and stakeholders who strive to create open and reproducible scholarship. 

The Curation Expert Group (CEG) works to build, connect and work with communities to promote the value of curation, and identify, evaluate and promote good practices in preparing data and metadata for research, dissemination and preservation in Canada. Current areas of interest include:

  • Developing a central, community-supported resource for data curation information, guidance and reference materials.
  • In collaboration with the Alliance Training Expert Group, identifying curation training needs across Canada and organizing training resources and events to address them.
  • Collaborating with the FRDR development team to streamline and automate curation tasks for datasets submitted to the repository.
  • Realizing the vision of a national approach to data curation services, support and network development in Canada articulated in the Canadian Data Curation Forum Report.
  • Developing and maintaining a set of basic documentation and reference materials that communicate best (and “good enough”) practices for curating datasets, such as the Dataverse Curation Guide.

 

Terms of Reference for the Curation Expert Group 

CEG Roadmap


To become a member, please complete the Expression of Interest Form.

Members

  • Jay Brodeur, McMaster University (co-Chair)
  • Alicia Cappello, Queen’s University (co-Chair)
  • Omid Aghaei, Ocean Networks Canada
  • Carrie Breton, University of Guelph
  • Erin Clary, Digital Research Alliance of Canada
  • Jeff Cullis, Canadian Integrated Ocean Observing System (CIOOS) Atlantic
  • Krysha Dukacz, McMaster University, Global Water Futures
  • Laura Gerlitz, Digital Research Alliance of Canada
  • Meghan Goodchild, Queen’s University, Scholars Portal
  • Lina Harper, Digital Research Alliance of Canada
  • Shahira Khair, University of Victoria
  • Beth Knazook, Digital Repository of Ireland
  • Amber Leahey, University of Toronto, Scholars Portal
  • Neha Milan, University of Saskatchewan, Federated Research Data Repository
  • Tamanna Moharana, Digital Research Alliance of Canada
  • Ève Paquette-Bigras, Université de Montréal
  • Bhaleka Persaud, University of Waterloo, Water Institute, Global Water Futures
  • Michael Steeleworthy, Wilfrid Laurier University
  • Qian Zhang, Digital Research Alliance of Canada

Data management planning is recognized as one of the key pillars of research data management, and data management plans (DMPs) are increasingly required by funders, including the Canadian Tri-Agencies as outlined in their Research Data Management Policy. The Data Management Planning Expert Group (DMPEG) works to promote and nurture a strong data culture in Canada, and to support researchers and institutions in their data management planning needs. 

The DMPEG develops and makes available guidelines, best practices and training resources in support of data management planning writ large, as well as guidance materials for the Alliance national DMP service, DMP Assistant, including the standards underlying the structure and management of, and content for, DMP templates and exemplars. The DMPEG’s work ultimately

  • facilitates the sharing of research administrative information across research organizations and agencies;
  • improves coordination among local and national research service organizations; and
  • reduces administrative burden on researchers.

 

Current areas of interest include

  • Developing Exemplar DMPs and other guidance and training resources to assist researchers in developing high quality DMPs;
  • Maintaining and developing further guidance for discipline- and methodology-specific DMP templates implemented through DMP Assistant;
  • Developing and implementing a DMP repository where researchers can deposit, curate, discover and access Canadian DMPs; and
  • Supporting the ongoing development and sustainability of the DMP Assistant platform and service, including identifying and recommending new features to support both administrators and end users.


For more information, or to inquire about becoming a member, please see the Terms of Reference and/or complete the Expression of Interest Form.

 

Members

  • James Doiron, University of Alberta (co-Chair)
  • Heather Ganshorn, University of Calgary (interim co-Chair)
  • Dylanne Dearborn, University of Toronto
  • Jonathan Dorey, Institut national de la recherche scientifique (INRS)
  • Krysha Dukacz, McMaster University
  • Émilie Fortin, Université Laval
  • Janie Gauthier-Boudreau, Université du Québec à Chicoutimi
  • Carla Graebner, Simon Fraser University
  • Maggie Neilson, Acadia University (on leave)
  • Isaac Pratt, McMaster University
  • Chantel Ridsdale, Oceans Network Canada
  • Weiwei Shi, University of Alberta (observer)
  • Robyn Stobbs, Athabasca University
  • Li Zhang, University of Saskatchewan

Active Working Groups (WGs)

DMP Assistant Institutional Customization Guide WG (Terms of Reference): This group will develop a guide to assist institutions and administrators with customizing the content and appearance of DMP Assistant to meet their institutional needs.

DMP Assistant Exemplar DMPs Review and Development WG (Terms of Reference): This group works with members of the Canadian RDM community to develop exemplar data management plans from a variety of disciplines, in English and French, and to ensure the exemplars represent best practices in data management planning.

DMP 101+ Tutorial Video WG (Terms of Reference): This group will develop the content for brief tutorial videos that build and expand upon the recently released DMP Assistant Tutorial Videos series, provide researchers and other end users foundational knowledge regarding DMPs, an overview of their content (e.g., general categories and questions), and highlight available resources and supports including the DMP Assistant tool, exemplar DMPs, and other available training materials.

Data repositories are recognized as foundational to good research data management. The Canadian data repository landscape is rich and diverse, with over 200 data repositories in operation at national, regional and local/institutional levels. The Data Repositories Expert Group (DREG) brings together representatives from key repository stakeholder communities to provide high-level coordination for platform-specific working groups and to foster a broad and cohesive approach to repository development in Canada.

Current areas of interest include repository certification and national repository infrastructure.

Terms of Reference for the Data Repositories Expert Group

 

To become a member, please complete the Expression of Interest Form.

Members

  • Bo Wandschneider, University of Toronto (Chair)
  • Erin Clary, Digital Research Alliance of Canada
  • Kate Davis, OCUL Scholars Portal
  • Natasha Fee, Canadian Space Agency
  • Sèverin Gaudet, Natural Sciences and Engineering Research Council of Canada
  • John Huck, University of Alberta
  • Reyna Jenkyns, Ocean Networks Canada
  • JJ Kavelaars, National Research Council
  • Mark Leggott, Digital Research Alliance of Canada
  • Etienne Low-Décarie, Shared Services Canada
  • Neha Milan, University of Saskatchewan, Federated Research Data Repository
  • Karen Payne, Ocean Networks Canada & WDS-ITO
  • Jen Pecoskie, Digital Research Alliance of Canada
  • Marc Rousseau, McGill University
  • Mike Smit, Dalhousie University
  • Lee Wilson, Digital Research Alliance of Canada

Dataverse is open-source data repository software that allows researchers, journals and institutions to better manage research data. The Dataverse North Expert Group is contributing to a community of practice for libraries using or interested in using the Dataverse repository platform for research data in Canada. Its goal is to bring together Dataverse providers and libraries to coordinate and discuss local and national training, support services, outreach strategies, promotions and infrastructure development and needs. The group is also investigating gaps and opportunities that could be addressed by nationally coordinated strategies and services for Dataverse, including training, infrastructure development, support for researchers and libraries and hosting services provided by Dataverse providers.

Current areas of interest include the development of instructional materials and metadata guidance for librarians and researchers. The Dataverse North Metadata Best Practices Guide offers general guidance on data citation and includes discipline-specific examples across a range of areas including geospatial data. The Dataverse North EG is also helping to develop a policy framework for Scholars Portal Dataverse, including a set of templates that can be adopted or modified for use by other data repositories.

Terms of Reference for the Dataverse North Expert Group

To become a member, please complete the Expression of Interest Form.

Members

  • John Huck, University of Alberta (Chair)
  • Teresa Bascik, Université de Montréal
  • Alexandra Cooper, Queen’s University
  • Corey Davis, Council of Prairie and Pacific University Libraries
  • James Doiron, University of Alberta
  • Alison Farrell, Memorial University
  • Meghan Goodchild, Queen’s University/Borealis
  • Mark Goodwin, Digital Research Alliance of Canada
  • Siobhan Hanratty, University of New Brunswick
  • Lina Harper, Digital Research Alliance of Canada
  • Alexander Jerabek, Université de Québec à Montréal
  • Amber Leahey, Scholar’s Portal
  • Kaitlin Newson, Scholars Portal
  • Kathryn Ranjit, University of Calgary
  • Michael Steeleworthy, Wilfrid Laurier University
  • Barbara Znamirowski, Trent University

For research data to be effectively shared and re-used, researchers must first be able to find, access and interpret those data. The main purpose of the Discovery and Metadata Expert Group (DMEG) is to support data creators, curators and other professionals in planning, producing, managing and disseminating descriptive metadata to enable the effective discovery and reuse of research data across a wide range of disciplines. Through national and international consultation and collaboration, the group promotes standards for metadata and data that support discoverability by both humans and machines.

The DMEG works closely with the Federated Research Data Repository (FRDR) team to facilitate the effective discovery of and appropriate access to Canadian research data by scholars and general audiences around the world. This includes setting up appropriate alerting services, evaluating standards for metadata quality and connecting data to other scholarly resources and outputs available on the web using authoritative sources.

Other current areas of interest include improving geospatial discovery of Canadian research data, investigating how to improve the discovery and indexing of licensed and restricted access data, crosswalking metadata from a wide array of data sources, and identifying data producers and systems both within and outside of academia.

For more information, or to inquire about becoming a member, please see the Terms of Reference and/or complete the Expression of Interest Form.

Members

  • Kevin Read, University of Saskatchewan (Co-Chair)
  • Clara Turp, McGill University (Co-Chair)
  • Eugene Barsky, University of British Columbia
  • Cyndie Found, National Research Council
  • Mark Goodwin, Digital Research Alliance of Canada
  • Amber Leahey, Scholars Portal
  • Dany Savard, York University
  • Alicia Urquidi Diaz, Scholar's Portal
  • Chantelle Verhey, World Data System – International Technology Office
  • Peter Webster, Saint Mary’s University

Active Working Groups (WGs)

Access Limited Data Discovery Working Group (Terms of Reference): The Access Limited Data Discovery Working Group works to scope the landscape of Canadian access-limited data locations, platforms and/or tools; identify the challenges associated with increasing the discovery of access-limited data; and make recommendations for improving the discovery of access-limited data based on challenges identified. Access-Limited Data is data that is not immediately accessible or for which access or discovery is limited. Such data includes data that can be made available under certain conditions, and data that lacks the appropriate infrastructure to be accessible or discoverable more broadly. Examples include but are not limited to licensed, restricted, human health or embargoed data.

Canadian Data Repositories Landscape Working Group (Terms of Reference): The Canadian Data Repositories Landscape Working Group seeks to survey the Canadian data repository landscape. The goals of this project are to develop a sustainable method for tracking Canadian data repositories; identify established, emerging and dormant data repositories for monitoring; describe identified repositories according to a standard set of criteria (e.g., domain, platform); promote Canadian data repositories through established registries (re3data, FAIRsharing); and to evaluate gaps in the Canadian data repository landscape.

FRDR Discovery Redesign Working Group (Terms of Reference): The FRDR Discovery Redesign project seeks to overhaul the existing FRDR interface to meet evolving user needs. The goals of this project are to integrate the existing FRDR Discovery Service platform with the Geodisy project; expand the capabilities of FRDR’s search; build a foundation upon which FRDR can better leverage persistent identifiers and controlled vocabularies; and to respond to diverse community needs for discovery of Canadian research data. The FRDR Discovery Redesign Working Group supports the redesign of the Discovery Service, ensuring that the project is community-driven and incorporates usability best practices.

The preservation of research data is essential to ensure that it remains accessible and usable in the long term. The purpose of the Preservation Expert Group (PEG) is to advance the Alliance’s capacity in developing infrastructure and best practices for preserving research data and metadata. This includes working with relevant stakeholders on software development projects that add platforms and preservation services to the RDM infrastructure in Canada. PEG also advises the RDM team at the Alliance in its participation in regional and national initiatives to provide key components of preservation infrastructure, as well as working to maintain and foster a community of practice for research data preservation in Canada.

Current areas of interest include working with other Expert Groups to increase awareness of preservation issues, liaising with FRDR and Scholars Portal Dataverse on preservation functionality in repositories, and working with FRDR, SciNet, Scholars Portal and University of Toronto Libraries on a preservation pipeline project that will facilitate researcher access to a robust long-term digital preservation environment.

Terms of Reference for the Preservation Expert Group
 

To become a member, please complete the Expression of Interest Form.

Members

  • Rebecca Dickson, Council of Pacific and Prairie University Libraries (co-Chair)
  • Steve Marks, University of Toronto (co-Chair)
  • Kate Cawthorn, University of Calgary
  • Corey Davis, University of Victoria 
  • Meghan Goodchild, Queen's University/Borealis
  • Beth Knazook, Digital Repository of Ireland
  • Kayla Lar-Son, University of British Columbia
  • Mireille Nappert, HEC Montréal
  • Y.G. Rancourt, Digital Research Alliance of Canada
  • Alisa Rod, McGill University
  • Lee Wilson, Digital Research Alliance of Canada
  • Mike Winter, University of Saskatchewan

Research data management policies, practices, systems and infrastructures are constantly developing and evolving, both nationally and internationally. The Research Intelligence Expert Group (RIEG) gathers evidence to guide the development of best practices in RDM in Canada and informs stakeholder communities about existing and arising issues in related policies and practices. RIEG conducts and analyzes results from independent studies and surveys in order to provide evidence-based recommendations regarding RDM to the Alliance.

Current areas of interest for RIEG include

  • Institutional preparedness to support RDM, in the areas of strategies, policies, capacity and resources,
  • Emerging RDM support services outside of research institutions, and
  • Researcher practices for managing and sharing research data.
     

Terms of Reference for the Research Intelligence Expert Group

 

To become a member, please complete the Expression of Interest Form.

Members

  • Alexandra Cooper, Queen’s University (Co-Chair)
  • Lucia Costanzo, University of Guelph (Co-Chair)
  • Dylanne Dearborn, University of Toronto
  • Louise Gillis, Dalhouise University
  • Meghan Goodchild, Queen’s University/Borealis
  • Laurence Horton, University of Toronto
  • Shahira Khair, University of Victoria
  • Mark Leggott, Digital Research Alliance of Canada
  • Marjorie Mitchell, University of British Columbia, Okanagan
  • Jean-Baptiste Poline, McGill University
  • Subhanya Sivajothy, McMaster University
  • Gail Thornton, University of Alberta
  • Minglu Wang, York University
  • Tatiana Zaraiskaya, University of New Brunswick

Active Working Groups

Data Repository and Storage Working Group (DRSWG). (Terms of Reference) The purpose of this DRSWG is to document, implement and promote these storage solutions within the NOE. This group will also work to develop associated supports to enable the effective use of these solutions and ensure access to data over time. These efforts are intended to ensure NOE-generated data are appropriately stored and available for immediate and future needs.

The collection, analysis, use and reuse of research data takes place in a complex legal, policy and societal context involving privacy, intellectual property rights, commercial concerns, working with Indigenous communities and data, and other key ethical issues. The Sensitive Data Expert Group (SDEG) is composed of a broad membership from research communities – including research ethics professionals, representatives of funding agencies, and members of Indigenous organizations – with direct interests in this subject. The group works together to develop practical guidance and tools for the management of sensitive research data in the Canadian landscape. This work helps the Alliance and other organizations develop both practical and policy responses to the RDM needs of Canadian researchers and contributes to the expertise of the broader RDM community of practice in Canada.
 

Current areas of interest include

  • Developing materials to assist researchers in understanding the impacts of research ethics on research data management, including a glossary of terminology, a risk matrix and examples of deposit-friendly language for consent forms.
  • Supporting the development of DMP templates for use in research contexts related to Indigenous peoples and communities.

 

Terms of Reference for the Sensitive Data Expert Group
 

To become a member, please complete the Expression of Interest Form.

Members

  • Lori Walker, Brock University/CAREB (co-Chair)
  • Rachel Zand, University of Toronto/CAREB (co-Chair)
  • Sheila Chapman, Canadian Institutes of Health Research
  • Shannon Cobb, Canadian Institutes of Health Research
  • Philipe Després, Université Laval/CHU de Québec
  • Aaron Franks, First Nations Information Governance Centre [observer]
  • Brenda Gagné, Mount Saint Vincent University
  • Alex Garnett, Simon Fraser University
  • Jeremy Geelen, Canadian Institutes of Health Research
  • Darren Lauzon, Statistics Canada
  • Mark Leggott, Digital Research Alliance of Canada
  • Suzanne McMurphy, University of Windsor
  • Scot Nickels, Inuit Tapiriit Kanatami
  • Bobby Nikkhah, University of British Columbia
  • Catherine Paquet, University of Ottawa
  • Victoria Smith, Digital Research Alliance of Canada
  • Kristi Thompson, University of Western Ontario
  • Berenica Vejvoda, University of Windsor
  • Karen Wallace, Secretariat on Responsible Conduct of Research
  • Jin Zhang, WestGrid

As the research data management landscape continues to evolve, it is crucial that researchers and data professionals have the information and training they need to stay up to date with the latest developments and best practices. The National Training Expert Group (NTEG) oversees a range of specific projects that collaboratively develop and deliver both training and training resources to support all aspects of RDM skill development for a variety of stakeholders across Canada.

Current areas of interest include developing and implementing a national RDM training strategy, supporting initiatives such as webinars and “workshops in a box,” and working with the Alliance’s Expert and Working Groups to develop domain-specific, researcher-focused training.

Terms of Reference for the National Training Expert Group

 

To become a member, please complete the Expression of Interest Form.

Members

  • Nicholas Rochlin, University of British Columbia (co-Chair)
  • Jennifer Abel, University of Calgary (co-Chair)
  • Alexandra Apavaloae, Social Sciences and Humanities Research Council of Canada
  • Ernie Boyko, Canadian National Committee of CODATA
  • Leigh-Ann Butler, Natural Sciences and Engineering Research Council of Canada
  • Shannon Cobb, Canadian Institutes of Health Research
  • Phillipe Deprés, Université Laval
  • James Doiron, University of Alberta
  • Jane Fry, Carleton University
  • Jenny Godley, University of Calgary
  • Isabelle Laplante, Centre de documentation collégiale
  • Ariel Lisogorsky, University of Waterloo
  • Jaime Lee Orr, University of Winnipeg
  • Jeff Moon, Compute Ontario
  • Marie-Eve Ruest, Université du Québec à Chicoutimi
  • Michael Smolinski, Canadian Institutes of Health Research
  • Felicity Tayler, University of Ottawa
  • Alexander Thistlewood, Social Sciences and Humanities Research Council of Canada
  • Wendy Watkins, Carleton University, Emerita
  • Rachel Zand, University of Toronto / CAREB

 

Active Working Groups

Maturity Assessment Model in Canada Working Group. The MAMIC (Maturity Assessment Model in Canada) WG was created in 2021 to develop an RDM Maturity Assessment Model specific to the needs of the Canadian research landscape. It is available to all Canadian research institutions to aid in the completion of their RDM Institutional Strategy. The current version of the MAMIC can be viewed here.