1. Canadian eResearch Community Updates Strategic Agendas Grassroots Initiatives National Data Management Landscape Discussion

2. Canadian eResearch Community Strategic Agendas Sharon Murphy, Queen’s University

3. Canadian eResearch Community CLA 2013 ARL / DLF eScience Institute

4. Canadian eResearch Community CLA 2013 E-Research encompasses the breadth of e-research activities applied across all disciplines (and including all interdisciplinary teams). Its scope is not limited to the types of scientific research requiring very large-scale computation (i.e., computational science or high- performance computing research) but includes all aspects and types of research that are performed digitally, such as data production and curation, social interaction, publishing and scholarly communication, and the use of physical space for specialized group activities.: http://www.arl.org/rtl/eresearch/escien/index.shtml) http://www.arl.org/rtl/eresearch/escien/index.shtml

5. Canadian eResearch Community CLA 2013 Strategic Agendas Background/Env. Scan Opportunities Risks Organizational Implications Next Steps

6. Canadian eResearch Community CLA 2013 Environmental Scan Shared : 1.All disciplines 2.Data services/Infrastructure 3.Partnerships – external and internal 4.Services already exist in Library (varying levels) 5.Research “silos” And, Not So Common : 1.Data + scholarly communication, digitization, community spaces

7. Canadian eResearch Community CLA 2013 Opportunities Shared: 1.Data management plans 2.Data deposit 3.Create virtual home for services 4.Data collection policy 5.Data citation awareness 6.Institutional policies and procedures And, Not So Common: 1.Non-academic clients 2.Research commons 3.Open data advocacy

8. Canadian eResearch Community CLA 2013 Risks Shared: 1.No-one will use services 2.Everyone will use services 3.High cost of training and skill development 4.If we don’t act: data lost, grants vulnerable, libraries side-lined And, Not So Common: 1.If we don’t act: Data itself will be commercialized and we will have to pay for access

9. Canadian eResearch Community CLA 2013 Organizational Implications Shared : 1.Staff capacity 2.Build on existing services 3.Internal teams/working groups for oversight 4.Build with internal and external partners And, Not So Common: 1.Bibliographic services for meta-data and discovery 2.Liaison model incorporate new services

10. Canadian eResearch Community CLA 2013 Next Steps Shared: 1.Library staff awareness 2.University awareness events – esp. new faculty, grad. students and post-docs 3.Adoption of agenda and work on plan 4.Assign responsibilities 5.Needs assessment 6.Data inventory

11. Canadian eResearch Community CLA 2013 Next Steps And, Not So Common: 1.Data awareness starts with undergraduates 2.University data stewardship statement 3.Pilot project

12. developing strong data roots in fertile library soil: e-science in canadian libraries Geoff Harder Canadian eResearch Community, CLA, 2013

13. “A year from now you may wish you had started today.” - Karen Lamb Image credit: numskullery/Flickr, Creative Commons licensed

14. The most important step is taking the first one. [have an agenda] Goals and objective setting for e-science is important. We can’t afford BUSY work. Articulate goals and act with purpose. Planning and action *can* begin at the grassroots. Assume there is no top down funding. Take action: Environmental scan, requirements building, re-imagining services, tools, communications, education, training Image Attribution: http://www.flickr.com/photos/badbodydoubletrouble/6333804376/sizes/o/in/photostream/

15. A few examples of collaborative e-science in action:

16. What: Tools - Open source software stack to create and manage OAIS compliant AIPs; dashboard for monitoring and auditing preservation; ability to take action, e.g. file normalization U of A/UBC/SFU: joint effort to make Archivematica research data friendly Development includes: file normalization, LOCKSS, generic storage APIs, repository connectors Momentum: Others looking to join/fund new components data.archivematica collaboration

17. Create a Social Sciences and Humanities Private LOCKSS Network (PLN) - address gap In discussion: UofA, UBC, SFU, Scholar’s Portal/OCUL Goal: Preserve SSH data at risk; small data is vulnerable Phase 1: dark archive Phase 2: strategies to brighten data; develop value-added services collaboration

18. Canadian Polar Data Network - polardatanetwork.ca UAL, OCUL/Scholar’s Portal, Canadian Cryospheric Information Network/Polar Data Catalogue UWaterloo – International Polar Year, CISTI, DFO Data deposit agreement - http://polardatanetwork.ca/wp- content/uploads/DataDepositAgreementforCPDN.pdf http://polardatanetwork.ca/wp- content/uploads/DataDepositAgreementforCPDN.pdf Governance - http://polardatanetwork.ca/?page_id=277 http://polardatanetwork.ca/?page_id=277 Metadata standards - http://polardatanetwork.ca/wp- content/uploads/CPDNBestPracticeForNapMetadata1.pdf http://polardatanetwork.ca/wp- content/uploads/CPDNBestPracticeForNapMetadata1.pdf borrow and build

19. Several institutions looking at Dataverse – lightweight data management OCUL: in production UAL: testing; launch in fall 2013 UBC: testing “…makes it easy for researchers to deposit data, create appropriate metadata, and version documents as you work. Access to data and supporting documentation can be controlled down to the file level, and researchers can choose to make content available publicly, only to select individuals, or to keep it completely locked. All data is hosted on Canadian servers, in a secure environment that conforms to industry best practices for maintaining data integrity and longevity.”

20. UPEI running VREs for 5 years Open source project (Fedora + Drupal) growing in use – generic VRE service pack in late 2013 Domain specific solution packs for 2013 to include Digital Humanities, Chemistry, Biodiversity Source: M. Leggott, Goats in the Garden, APLA 2013

21. Things are happening! Identify gaps Leverage existing resources, partnerships, infrastructure Do something today! from the roots: action items Image credit: http://thezeds.com/2013/02/06/carl-research-data-management-course-rdm/

22. Canadian eResearch Community CLA 2013 The National Data Management Landscape National Consultation on Access to Scientific Research Data (NCASRD) – 2004 Research Data Strategy Working Group (RDSWG) – 2008-2012 Canadian National Collaborative Data Infrastructure (CNCDI) - 2011 National Research Data Summit – 2011 Brent Roe, Canadian Association of Research Libraries

23. Canadian eResearch Community CLA 2013 The National Data Management Landscape Open Data Initiative – 2011- Research Data Canada (RDC) – 2012-present The Leadership Council on Digital Infrastructure for Research – 2012-present CARL Data Management Course – 2013 Renewed federal government funding for research infrastructure – 2012 and 2013

24. Canadian eResearch Community CLA 2013 Suggested Discussion Ideas Services What are you doing now? (eg. Case studies, projects, pilots) Partners? Staffing / Resources Staff capacity (eg. redeployment and training) Models (eg. Liaison model and escience)

25. Canadian eResearch Community CLA 2013 Participant Discussion What are we doing now: Collaborative tools Creating virtual research environment Staffing Hiring data management person Faculty buy-in critical and critical role of tri- council here

26. Canadian eResearch Community CLA 2013 What can small schools without infrastructure do? Educational and coaching role to researchers Great start: LibGuide for data awareness e.g. University of Manitoba - http://libguides.lib.umanitoba.ca/umlrdm http://libguides.lib.umanitoba.ca/umlrdm We have some nice models to follow re: data management in US

27. Canadian eResearch Community CLA 2013 Certain disciplines have a culture of sharing and others not so much Quality of data: how can we be sure? concerns over source data and re-use of data maybe it’s the best thing to have it exposed and checked Data as IP – reluctant researchers