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Holmes "Institutional Infrastructure for Data Sharing"
The document discusses the establishment of a collaborative, equitable data-sharing ecosystem through the Galter Health Sciences Library at Northwestern University, highlighting its focus on open science and the creation of team scientist roles. It outlines strategies for effective data management and sharing, including the use of the InvenioRDM platform for research data management while promoting responsible data science practices. Additionally, it emphasizes the importance of recognizing diverse contributions in research and supporting community engagement in scientific endeavors.
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Holmes "Institutional Infrastructure for Data Sharing"
- 1. Institutional Infrastructure for DataSharing Effective Data Management NISO Virtual Conference Kristi Holmes, PhD Galter Health Sciences Library Northwestern University @kristiholmes 29 Sept 2021 Adapted from illustration by Andrew Russell
- 2. Empowering a collaborative,equitable ecosystem Where are we going? How do we get there? Who’s along for the ride? The big picture...
- 3. What do wemiss when science isn’t equitable? Image credits: https://www.proboat.com/2017/08/lyman-morse-builds-new-wood-glue/ and https://pixabay.com/photos/island-tropical-blue-waters-5783440/
- 4. Open Science atUNESCO. Towards a UNESCO Recommendation on Open Science. Available at https://en.unesco.org/sites/default/files/open_science_brochure_en.pdf Openness Critical for access, innovation, and sustainability BENEFITS CHALLENGES INCENTIVES COLLABORATION RECIPROCITY
- 5. Empowering a collaborative,equitable data ecosystem Tools – both social and technical Understanding, recognizing, and incentivizing
- 6. Personas It is criticalto understand and support the team PERSONAS FEATURES ● 14 one-page profiles of key roles in translational research, including 2 patient profiles ● Evidence-based through systematic review of literature, job descriptions, and interviews. Two empathetic patient profiles informed by literature ● Sample use cases informed by project experience USE PERSONAS ● Download the Profiles & User Guidebook ● Sample Use Cases: read ours and contribute your own ● Submit feedback via the Personas Evaluation Form Expanding Personas based on feedback: AI/ML, Bioethics/research, community health educator, Diversity professional, Medical Education Coordinator, Regulatory professional Lead: Sara Gonzales Collaborators: NYU, OHSU, UVA, and Northwestern Gonzales S, O’Keefe L, Gutzman K, Viger G, Wescott A, Farrow B, Heath AP, Kim MC, Taylor D, Champieux R, Yen PY, Holmes K. Personas for the translational workforce. Journal of Clinical and Translational Science, 1-8. https://doi.org/10.1017/cts.2020.2
- 7. Bahlai, C. A.,et al. (2019). Open Science Isn't Always Open to All Scientists: Current efforts to make research more accessible and transparent can reinforce inequality within STEM professions. American Scientist, 107(2). Available at https://www.americanscientist.org/article/open-science-isnt-always-open-to-all-scientists Illustration by Tom Dunne Research isn’t open for everyone (and there are a lot of incentives to keep it closed)
- 8. Institutional perspectives & new models TeamScientists. Northwestern University Feinberg School of Medicine Faculty Affairs Office. Available at https://www.feinberg.northwestern.edu/fao/for-administrators/team-scientists/index.html
- 9. Team Scientist FacultyTrack Survey Results SATISFIED Overall satisfaction with current position 74% Opportunity to collaborate with other faculty 90% Sense of contributing to important research 83% Contributions are acknowledged via co-authorships 80% Promotion process is clear and transparent 68% Fall 2017 survey response rate: 81% Fall 2021 survey is about to launch! ▪ 2015: a new “Team Scientist” track was established within our regular faculty lines to better value such scientists’ contributions ▪ Collaborative effort between NUCATS, Vice Dean for Faculty Affairs at Feinberg, and relevant stakeholders ▪ Collaborative scientists who span content disciplines at NU now have several distinct pathways for promotion with clear metrics through our tenure-eligible, non-tenure-eligible, and research faculty lines ▪ All faculty identify critical references and roles, going beyond publications and grants to tell a story of meaningful impact ▪ Contribution roles are key! Institutional perspectives New models: Northwestern’s Team Scientist Faculty Track NUCATS Team: Keith Herzog, Mohammad Hosseini, Emily Traw
- 10. DataClinic The Galter DataClinicemploys a primary care model for data management and analysis. In addition to providing training and best practices support, we offer free consultations for researchers with data issues, including data management and sharing. Data Education & Community Engagement The Galter Library actively promotes reproducibility and open science best practices by organizing and hosting special events featuring cutting-edge organizations and software tools in the field. Innovations Galter Health Sciences Library and Learning Center is dedicated to building a collaborative clinical and translational research data infrastructure. Institutional perspectives The Galter Library DataLab Lead: Matt Carson, with Pamela Shaw, Sara Gonzales
- 11. Rule 1: Don’ttry to own everything Rule 2: Leverage champions to get buy-in from stakeholders Rule 3: Have a sustainability plan (and find funding) Rule 4: Hire a team, and support them Rule 5: Recognize and elevate data, software, and workflow contributions Rule 6: Focus on interdisciplinarity, but don’t overdilute Rule 7: Emphasize responsible data science Rule 8: Establish a set of guiding principles Rule 9: Engage with external communities Rule 10: Leverage core service groups Check out Simple Rules and other resources Institutional perspectives Ten simple rules for starting (and sustaining) an academic data science initiative Parker MS, Burgess AE, Bourne PE (2021) Ten simple rules for starting (and sustaining) an academic data science initiative. PLoS Comput Biol 17(2): e1008628. https://doi.org/10.1371/journal.pcbi.1008628
- 12. 1. Define achievablemilestones, whether those milestones are for an established time period or for a task. Milestones are defined by what works best for your team. 2. Show visible interim results within each milestone. If a milestone is one week, identify what tasks each team member will be working on during that week. 3. Be realistic and don’t go it alone. Milestones can be difficult to achieve, so be sure to accurately assess how much time you need to complete each task. If a roadblock appears, don’t hesitate to discuss it as a team and reassign work as needed (if time- or skill-related). Call on help when needed. 4. Break through roadblocks. Don’t let the small details slow you down. Be sure to know who makes the decisions when disagreement occurs. 5. Encourage open, positive communication among team members and stakeholders. 6. Implement intentional checkpoints to ensure ethical practices 7. Celebrate victories and work together to understand challenges. 8. Take time to do it right the first time. Scope is secondary. Be sure to understand the data, the process, and work the plan accordingly. 9. Above all else, focus on the user and the mission Institutional perspectives Successful priorities and lessons learned Adapted from: Davis V, et al. "Implementing VIVO and Filling it with Life." VIVO: A Semantic Portal for Scholarly Networking Across Disciplinary Boundaries (Synthesis Lectures on the Semantic Web). Morgan & Claypool Publishers, 2012.
- 13. Empowering a collaborativeecosystem Investing in infrastructure, maintenance, & innovation too
- 14. The InvenioRDM project.An international, interdisciplinary collaboration to build a user-focused, turn-key, next-gen research repository. Available at https://inveniosoftware.org/products/rdm/ Your generalist institutional repository A powerful tool for open science and data management and sharing next-generation!
- 15. Final NIH Policyfor Data Management and Sharing https://grants.nih.gov/grants/guide/notice-files/NOT-OD-21-013.html We’re leveraging InvenioRDM as a strong foundation at NU. Here’s why. Behind the scenes ▪ Discoverability. Leverages metadata standards, extensible and customizable metadata, and the powerful Elasticsearch full-text search engine retrieves, facets, sorts, and filters searches with ease. ▪ Scalablity. Invenio is fast. Designed to manage 100+ million records and petabytes of files. All data can be archived independently of the size. ▪ Technology. Modular underlying technology (Python, Flask) widely supported. Invenio is JSON-native and provides RESTful APIs to make it easy to build apps on top of the framework. ▪ Ethical metrics. Industry standard usage statistics for record pages with all tracking completely anonymized. ▪ Easy. Turn-key research data management platform & index can be easily deployed in the local environment. A SAAS-model for service via TIND (CERN spinoff). Customize the look and feel to our local environment. ▪ A robust OS community: Large team of developers & active open source community. User-focused features ▪ Research, shared. Securely share and preserve data records and a wide range of research types with collaborators, with asy dissemination to the community. ▪ Communities. Create and curate communities (e.g., workshop, project, lab, or journal). ▪ Integrates with best-practice tools and workflows. GitHub, Jupyter Notebooks, Binder, and more. ▪ Compliance-friendly. Comply with data sharing mandates* and acknowledge your funders. ▪ Get credit & be cited. Get a DOI to make records easily and uniquely citable. Pre-formatted citation text makes it easy to cite your work and be cited. Contributor roles allows recognition of the whole team.
- 16. How did thiscollaboration start (and what about Zenodo?!) What motivated the InvenioRDM project? • Some organizations tried to reuse the existing open source Zenodo source code • Other orgs tried to use the Invenio Framework to build a RDM repository from scratch • Several orgs tried to make the same modifications but had no easy way of sharing their changes All these groups came together to create a collaborative open source project and grow a sustainable community. Zenodo is also moving to InvenioRDM ;) Two goals of InvenioRDM project:
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- 18. InvenioRDM’s records aremade findable through each being issued a Digital Object Identifier (DOI), and through their metadata being indexed and made searchable immediately. Metadata in InvenioRDM are accessible because they are retrievable using a standardized communications protocol which is free and universally implementable. InvenioRDM leverages metadata encoding (JSON) and vocabulary (FundRef, OpenAIRE, COAR Resource Types, etc.) standards to ensure maximum interoperability for records describing digital assets. Ensuring the reusability of digital assets deposited in InvenioRDM is key and is achieved through assigning licenses and establishing provenance through registering users. Support for FAIRer science
- 19. Upcoming: Communities & Collections Community: Definea research group, department, event, or other collaborative unit; official and ad hoc groups supported Collection: Create multiple Collections under the umbrella of a Community. Collections bring together related groupings of files to communicate process, enable sharing of results, and support publication, compliance and reproducibility Resource types are customizable for each instance as needed. XYZ Clinical Study Phenotype Definitions Phenotype Definitions Definitions Characterizations Evaluations Metadata Dissemination Strategy Clinical Studies Research Proposals Protocols Data Management Plans Methods Descriptions Measures Case Reports Datasets and Analyses This example page from Zenodo shows approach; sample records highlight application in biomedicine Lorem ipsum dolor sit amet, do eiusmod tempor consectetur elit, sed incididunt ut labore et dolore magna aliqua. Lorem ipsum dolor sit amet, do eiusmod consectetur elit, sed incididunt
- 20. Early-Career Scholars: I’mjust getting started on my research career. I want to showcase my work and demonstrate my expertise and collaborations, Our repository gives me a way to make all of my research efforts findable and the metrics are helpful for reporting to leadership. The secure “Funding Community” collection of example proposals from other investigators at my university was a huge help to me as I prepared and submitted my proposal! Basic Science: My research group uses the repository to support reproducible science by packaging our data and methods together. Everything gets a unique identifier and versioning is supported. Our lab prioritizes science communication. Our graduate students set up a Lab Community to enhance engagement and dissemination of data, protocols, tools, handbooks, lay summaries, presentations, training materials, and more. We like that we can credit all contributors and present our work through an attractive resource that can be easily updated. Translation to Practice: My team wants to find out about clinical trial opportunities to offer patients all options for treatment. It is important to us to openly share the latest research with patients. The Communities feature gives us a way to make these materials openly, packaged in a cohesive and attractive manner. As our team updates these resources, we can upload the new versions and track access. Population Health and Health Equity: Our large multi-site cancer health equity project uses InvenioRDM to collaborate with our community-based partners and credit these partners. We can share materials from community health events, project materials, training materials, annual reports, and lay summaries of research. InvenioRDM helps us to be better partners, accountable to collaborators and the community. We can create communities of practice to integrate theories, data, techniques, and tools. We want to make our research discoverable to the wider community, helping to spark new collaborations and opportunities for dissemination. Art and creative works: The same scientific research that generates new understanding and innovation also brings unexpected and often breathtaking beauty. Every year the university hosts a “Science in Society” scientific images contest. These visually stunning images captivate the imagination and deepen the connection between science and art. Each image in the collection originates from contemporary research in a wide range of fields, including medicine, genetics, chemistry, and engineering. Judged by an interdisciplinary panel of local artists, scientists and community leaders, the winning images are digitally housed in a “Community” and have been displayed throughout the Chicagoland area, including Navy Pier, Harold Washington Library, Evanston Public Library, the Noyes Cultural Arts Center, and the Museum of Science and Industry. Adaptation of Illustration by Tom Dunne User Stories to highlight use of the InvenioRDM Communities feature
- 21. InvenioRDM in action(coming soon!) NNLM Beacon: An openly available online repository of outputs from NNLM Northwestern Prism Images: Wireframes Leads: Karen Gutzman & Matt Carson, with many others
- 22. Resources & Links OfficialInvenioRDM site: https://inveniosoftware.org/products/rdm/ Roadmap: https://inveniosoftware.org/roadmap/ GitHub: https://github.com/inveniosoftware/invenio-app-rdm Documentation: https://inveniordm.docs.cern.ch/ Install your own instance: https://inveniordm.docs.cern.ch/ Get a demo! Contact InvenioRDM Community Coordinator Sara Gonzales to arrange
- 23. “Hail the Maintainers:innovation is overvalued, maintenance often matters more.” Aeon. Available at https://aeon.co/essays/innovation-is-overvalued-maintenance-often-matters-more themaintainers.org @The_Maintainers (great perspectives)
- 24. Thank you! @kristiholmes [email protected] Partnerships &Collaborations • Galter Health Sciences Library • Presented projects: Sara Gonzales, Karen Gutzman, Matt Carson, Joelen Pastva, Pamela Shaw, Guillaume Viger, Mohammad Hosseini, Galter Library Digital Initiatives team, Galter DataLab, and more • InvenioRDM open source community and the team at CERN • Personas collaboration: NYU, OHSU, UVA, Northwestern • Northwestern University Clinical and Translational Sciences Institute • The Network of the National Library of Medicine (NNLM) • Support the NNLM National evaluation Center & clinical data project • The Data Discovery Collaboration Support • Northwestern University Clinical and Translational Sciences Institute UL1TR001422 (NIH/NCATS) • NNLM National Evaluation Center (U24LM013751) (NIH/NLM) • Chicago Cancer Health Equity Collaborative (ChicagoCHEC) U54CA202995, U54CA202997, U54CA203000 (NIH/NCI) • Enhancing clinical trials participation though library partnerships G08LM012688 (NIH/NLM) • Health For All: Advancing Library-Academic Medical Center Partnerships to Navigate Wellness and Scale Preventive Services Access G08LM013188 (NIH/NLM) Andrew Russell and Lee Vinsel. Let's Get Excited about Maintenance. NYTimes