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Collaborating to Manage Research Data

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1 Collaborating to Manage Research Data
Zheng (John) Wang Rick Johnson Hesburgh Libraries University of Notre Dame This session provides Notre Dame¹s experience as a case study to provision research data curation and access services. Managing research outputs becomes a tall order of many universities, given their determined agenda to pursue research excellence. In a world of increasingly data-intensive research, data is rising as a critical component of scholarly communication, often mandated by granting agencies. Data curation, preservation, and access are paramount to university academic mission, and academic and research libraries are some of the few entities of the universities that carry such functions; however, library enduring commitments in print and current operations, and complex campus organizations often hinder libraries¹ ability to quickly respond to the data needs of the academy. Notre Dame¹s investment in research was recently reinforced by the university¹s approval of the expansion of ten disciplines, such as computational data, adult stem cell research, and nuclear physics. There is much needed support for research data on campus. The Hesburgh Libraries has been building an institutional digital repository since winter To respond to the trending needs, the Libraries switched gears to a user-centered and agile approach to develop data curation and access services since June Our goal remains to accept all scholarly outputs (text, images, video and audio), but with an imminent emphasis on research support. Our strategy is to grow our data curation services and our user base simultaneously, and to build success stories to drive adoptions along the way. Early adopters were identified with the help of our subject librarians, and they determined the most critical baseline features for the Libraries to develop. We also leveraged Hydra open source solutions and collaborated with Northwestern University, Indiana University, and the University of Virginia to create a new community shared Institutional Repository (IR) system. We have worked with our early adopters to pilot features since summer. We plan to launch an early access release by November 2013 and a full rollout by April We will share our development philosophy to overcome resource shortages to meet high demands on research support, our strategy to reach and develop our user base and roadmap, our insights on faculty¹s needs on research support, and our methodology to leverage and contribute to open source tools. A quick demo of our curation tool will be provided at the end of the session. 12/10/13

2 Notre Dame Research Profile - Research & Sponsored Programs Revenue
FY09: $120.9 million FY14: $189.7 million $68.8 million (56.9%) increase 9.4% annual growth rate 12/10/13

3 Data Growth Potential - Investment in Research
FY09: $88.9 million FY14: $161.9 million $73 million increase (82.1%) 12.7% annual growth rate Advancing Our Vision $13 million recurring investment 10 Disciplines (i.e. computational data, adult stem cell, nuclear physics) 80 new faculty 12/10/13

4 Nature of Research Data
Often requires enormous storage (volume, accumulative) Often exists in diverse formats Increasingly owned by faculty across institutions Requires intensive resources and new expertise 12/10/13

5 Related Materials: Any Format
Statistical Data Article ETD Image Data 12/10/13

6 Library Context - Institutional Digital Repository
Part of Hydra community Vertical Successes High demand due to the Open Data Mandate and Public Access Policies Storage allocation internal to library needs Digital Initiative Program staffing level 12/10/13

7 User-Centric Personas
Faculty Grad Students Librarians Curators Targeted Early Adopters Core Features Engineering Science Arts & Humanities Every discipline, project, and researcher different Ramp up direct engagement with researchers earlier in the process (even before any tools may exist) Determine Core Features Important to researchers Targeted Early Adopters Core Features 12/10/13

8 Design Strategy Design for everyone, but optimize for intermediate (Alan cooper) Critical needs What are the core? Other advanced services? 12/10/13

9 Partnerships are Key Increasing complexity demands support of experts
Funding Agency Requirements Copyright and Intellectual Property Metadata and Data Structuring Data sharing and Preservation 12/10/13

10 How Do We Connect with Researchers?
Top Down Office of Research Colleges and Departments Researchers Pre/Post Award Grant Consultants Collaborators Subject Liaisons Colleagues Grass Roots 12/10/13

11 Priorities First Phase
Wide format support, with mixed collections Focus on Preservation and Curation Get Users Engaged Early Release Early; Release Often Faculty proxy 12/10/13

12 Grow Together User Base Features
Grow services and user base simultaneously [Insert chart showing increase in users plotted against increase in features and complexity] [show a tree with early adopters and roots at the bottom from various disciplines…build the trunk, start to add branches Features 12/10/13

13 Layered Continuous Improvement
Advanced Discovery, Harvesting, Curation, Analysis, Computation Feedback determines Investment in most impactful advanced services Enhanced Management, Presentation, Publishing, Collaboration Continous Feedback from Growing User Base Core Features: Wide Format Support, Preservation, Sharing Users validate and shape direction of services to best fit THEIR needs. Invest in features and services that matter the most Early User Feedback Identify Target Users and Most Common Needs 12/10/13

14 Release Early; Release Often
Early Access Release Nov 2013 Point Release One Every 3-4 sprints (6-8 weeks) Point Release Two Next Major Release Larger releases broken into smaller point releases to deliver fixes and enhancements quickly based on feedback 12/10/13

15 Sustain through Community
Center for Research Computing Hesburgh Libraries Office of Research OIT Collaborate with campus partners Outreach and partner with critical campus communities 12/10/13

16 Sustain through Community
Shared IR Project Complete Multi-Institutional Collaboration from top to bottom within the Hydra Community Shared Roadmapping and Governance Community and Local Roles Rotate Resources DATA CURATION EXPERTS We have aligned with several partners, but how do you sustain and synchronize priorities? The result is a top to bottom collaboration within each organization with shared roadmapping, governance, implementation, and maintenance by multiple institutions 12/10/13

17 Community Development & Adoption
Curate Notre Dame CurateND Duke DCE LSE? Penn State Indiana Northwestern Va Tech Cincinnati Uva Libra2.0 Circles in Red are those that have already contributing , Orange circles are those coming on shortly, and green circles are those that have expressed interest. 12/10/13

18 Mixed Architecture Many Formats; Many Contributors 12/10/13

19 Future Priorities By April
Improved Organization and Managed Collection Support Submission, Review, and Publish Workflows Integration with ORCiD Bulk Ingest Support 12/10/13

20 Future Priorities April and beyond
Enhanced Publishing Layer to Digital Exhibits, Online Journals Tuned and Optimized for large datasets Integration with SHARE Pluggable support for solution bundles 12/10/13

21 Future long term view 12/10/13

22 Quick Demo 12/10/13

23 FAQ Zheng (John) Wang, zheng.wang@nd.edu
Rick Johnson, Hydra Shared IR Project Wiki: 12/10/13


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