queen’s in the global knowledge commons · 2019-08-21 · interoperability for web-based...
TRANSCRIPT
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Queen’s in the Global
Knowledge Commons
Data Day 2016, Queen’s UniversityMartha Whitehead, Vice-Provost and University Librarian
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Outline
What this is really about:
research quality and impact
Open Science context of research data management
Broadening the concept of scholarly communications
Institutional RDM services emerging at Queen’s
National context and Portage Network opportunities
International perspectives
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Effective and sustainable scholarly communication
Public policy that enables information access
Respect for intellectual property
Protection of privacy
Preservation
My Lens: Information Access
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Credit (this and next two slides): Victoria Stodden, Defining the Scholarly
Record for Computational Research, CNI Annual Meeting, April 4, 2016
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Research/IT/Library
intersecting
responsibilities
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Research Data Management Services
Library, guided by working group including
University Research Services representatives,
works closely with researchers to help with
• Planning for data managementdata management plans and grant applications
• Preparing your datacoding, formatting, anonymizing, and more
• Documenting your data
describing your data so others can understand and use it
• Archiving your datafinding an appropriate repository or archive
• Making your data discoverablepromoting open access, indexing, assigning DOI’s
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Ontario Library
Research Cloud
• Established to provide cost-effective
long-term storage for digital assets
• Large-scale cloud storage service
using low-cost technologies
• Storage nodes at multiple Ontario
campuses
• Advanced text mining tools
• Utilizes industry-standard APIs and
interfaces to maximize compatibility
with existing library use cases,
including institutional repositories
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How can we ramp up to support funder
guidelines for data management?
Where is the infrastructure? (technical and
human)
Isn’t this a national / international concern?
Will researchers engage with RDM issues?
Institutional concerns
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• Resources vary by institution and region, and nobody
has it solved completely
• Managing research data is complex (diversity of
format, metadata, analytical tools): researchers and
service providers need help
• Researchers and their data cross institutional,
regional and disciplinary boundaries
• Preservation storage is not yet addressed
Research data management is an element of national digital infrastructure
Bigger than any one institution
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Policy
Portage Network:
• In Canada’s RDM ecosystem
• Its RDM framework:
oNetwork of expertise
oInfrastructure platforms and tools
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Open Science
Canada’s Action Plan on Open Government 2014-2016
Tri-Agencies (CIHR, NSERC, SSHRC)
• Consultation in 2013 (Report: Capitalizing on Big Data: Toward a Policy
Framework for Advancing Digital Scholarship in Canada)
• Tri-Agency Statement of Principles on Digital Data Management
“…the Government of Canada
will establish a government-
wide approach to Open
Science to increase access to
federally-funded scientific
publications and data.”
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Portage slides courtesty of Chuck Humphrey
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What is Portage?
A national, library-based research data management network
that coalesces initiatives in research data management to build
capacity and to coordinate activities better.
○ 2013 (Dec): Concept meeting at the ARC Hotel
○ 2014 (Mar): Launch of Project ARC, a one-year pilot
○ 2015 (May): Framework and transition plan for operating network
○ 2015 Sep – 2017 Aug: Portage Director developing services,
governance and operational models
○ 2017 Aug:
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Portage in
Canada’s RDM ecosystem
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● Research data are a public good
● Intelligent access: openness, with respect for privacy
● Collaborative approaches: cost savings and shared expertise
● Inclusiveness: aim to serve all researchers and create a more
level playing field
● Commitment to standards and interoperability
● International relationships: liaise internationally and ensure
Portage keeps pace with international practices
● Respect for differences: flexibility to meet the needs of different
regions, institutions, and disciplines
● Open source: Tools will be contributed back to the community
● Stewardship: a sense of responsibility for managing research
data over the long term
December 2013
Portage Principles
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Other RDM principles
Tri-agency Statement of
Principles on Digital Data
Management
• Canadian Institutes of Health
Research
• Natural Sciences and
Engineering Research
Council of Canada
• Social Sciences and
Humanities Research
Council of Canada
• January 2016
Research Data Management
in Canadian Universities: A
statement of principles
• Research Data Canada and
Vice-Presidents of Research
from the U15
• March 2016
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Bottom-up approach
Researchers, societies
and their domain
projects
Information
professionals
Mandated institutions
working collaboratively
Granting council and
federal agency digital data
management principles
Academic research data
management principles
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Is there a best level to collaborate?
Portage aims to provide
infrastructure and services
at the levels of the
research project, the
institution, and the network.
By network, we mean
collaborating in regional
and national partnerships.
Portage
Research
Project
Institution
Network
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Libraries
IT
Research
ServicesEthics
Grad
Studies
Researchers
Shared stewardship at the institutional level
Individuals, Groups
and Services
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Higher Education
Institutions
CANADA
CARL
CAREB
CAGS
Societies
Libraries
IT
Ethics
Grad
Studies
Researchers
RSO
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Portage RDM Framework
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Portage Network of Expertise
Capitalize on the research data management expertise
and services in libraries.
● Expert Groups currently operational
○ Data Management Plan Expert Group
○ Data Preservation Expert Group
○ Data Discovery Expert Group
○ RDM Learning Expert Group
● Expert Groups forthcoming
○ Data Curation Expert Group
○ Ethics and Data Expert Group
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Infrastructure platforms and tools
Develop RDM platforms and tools through partnerships
and memoranda of understanding.
● Current partnerships in place or nearly signed
○ DMP Assistant (UAL-CARL)
○ National Research Data Repository Prototype (CC-CARL)
○ Preservation Pipeline (CC-OCUL/SP-UTL-CARL)
○ Dataverse-to-Archivematica middleware (OCUL/SP-CARL)
● Forthcoming
○ PREFER: Policy Format Register
○ Federated data discovery system
○ Data curators toolkit
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Preservation Workflow Concept
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National Preservation Pipeline Service with Compute Canada (in progress)
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• CARL/Portage and CC: jointly manage the development through shared planning processes
• CARL/Portage: research data management expertise and in-kind contributions
• CC: project management and software development expertise and necessary computational resources
• all derived software products will be released to the wider research community through an open source licence (except software components from other parties that are covered by their own licensing regime)
• non-exclusive relationship
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Stakeholder engagement
Build a community of practice for research data
management through well established working
relationships among stakeholders across research
sectors.
○ Regional library consortia
○ Individual academic libraries
○ Academic RDM stakeholders, e.g., VPR’s, REBs, Scholarly
Associations, Networks of Centres of Excellence
○ Other RDM stakeholders, e.g., Research Data Canada,
Leadership Council for Digital Infrastructure
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National services, but also key international issues:
New modes of scholarly communications
Open science framework
Interoperability for web-based scholarship
Open repositories
With thanks to Kathleen Shearer, Executive Director of COAR, and
participants at IDCC16, RLUK 2016, CNI Spring 2016 Meeting, COAR
General Assembly 2016, CARL/ARL Spring 2016 Joint Meeting
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National Data Service (US)
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Addressing Strategic Challenges
●Adoption of common metadata, identifiers (for
authors, institutions, research funding
organizations, publications), vocabularies and
taxonomies
●Interaction with other local infrastructures and
external systems (administrative research systems,
publishing platforms, e-learning systems, etc)
COAR Roadmap: Future Directions for
Repository Interoperability
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In conclusion…
Key Aims
Open global ecosystem of infrastructures
New modes of scholarly communications
Modern reward and recognition practices
A global knowledge commons
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And key questions for us to ponder
What services are best offered locally,
nationally, internationally?
In developing services locally, how do we
ensure international interoperability?
What can we do to explore new modes of
scholarly communications and modern
reward and recognition practices?
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Thank you!
Questions? Thoughts?