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2022 Summit Schedule

Monday, March 14, 2022 - Workshop Day

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Workshop 1: Open Science Data Curation, Preservation, and Access by Libraries

Researchers, communities, and stakeholders alike are aligning on the need for and the importance of open infrastructure for supporting the production, distribution, and stewardship of public research. Commercial barriers, combined with a proliferation of data sharing platforms, contribute to a fragmented environment in which data, research outputs, as well as curation and long-term stewardship, are hampered by a lack of technical integration across the research lifecycle, reliability of access, and coordination with local library expertise and services. This fragmented environment impedes research reproducibility and scientific resilience. The Center for Open Science (COS) and the Internet Archive (IA) have combined forces to provide open, cooperative infrastructure for ensuring long-term access and preservation of research outputs from across the lifecycle. Harnessing COS’s Open Science Framework (OSF) with IA’s expertise in scalable digital archiving and global access technologies, these mission-aligned organizations have collaborated on archiving COS’s public registrations data for digital preservation and perpetual access via the Internet Archive. In this workshop, participants will gain skills to implement reproducible open science practices with OSF registrations, learn best practices for filtering and discovering registrations of interest using both OSF and IA platforms, and explore methods for extracting bulk registration data for further scientific inquiry and research.

Instructors: Peggy Lee, Mark Call, Bryan Newbold, Jefferson Bailey, and Nici Pfieffer 

Workshop 2: Research Data Skills Building Community Support in the ESIP Data Management Training Clearinghouse

Karl Benedict (Director of Research Data Services in the University Libraries at the University of New Mexico), and Nancy Hoebelheinrich (Principal of Knowledge Motifs LLC and Editor of the DMTC) will showcase the newly enhanced capabilities of the Data Management Training Clearinghouse (DMTC) for searching, providing assessment feedback to resource creators and searchers on specific resources, and submitting and reviewing quality descriptions for learning resources.  Workshop participants will have the opportunity to use the DMTC in hands-on practice with the new system, both to gain experience with the DMTC as a tool for their own teaching and learning, but also explore how the DMTC and its content can be used to support them as they work with their diverse communities.  Based on both their experiences with the new DMTC and the experiences and needs they bring as teachers and learners, we will engage workshop participants in discussions about how to better support them as members and leaders of research data teaching and learning communities.  The outcome of these discussions will contribute to further planning and development of the DMTC in meeting the expressed needs. 

Instructors: Nancy Hoebelheinrich and Karl Benedict



30 minute Break



Workshop 3: Design for Engagement, Inclusion, and Impact: Data Literacy Lesson Planning to Make a Difference

Data librarians are always teaching—data literacy lessons for students, professional development for colleagues, and programming for faculty across multiple disciplines—often without formal training in instructional design or lesson planning. Without formalized training, data librarians might feel underprepared to design instructional episodes for students, faculty, or coworkers. Librarians, both those new to teaching and those with substantial instructional experience, must also continuously seek to improve their pedagogical practices, increase inclusivity in instructional spaces, and design equity into learner engagement.

A template for teaching prompts librarians to follow best practices for educational equity and inclusion, plan efficiently, and make considered decisions to ensure that time spent with learners is relevant and meaningful. This session presents a lesson plan template for data instruction that embeds backward design, inclusiveteaching check-ins, and other instructional best practices. Examples will be shared from a range of data and information literacy contexts.

In this workshop, presenters will 1) begin by outlining the value of lesson planning for data instruction and reviewing lesson plan components along with examples from instructional scenarios. Next, attendees will 2) work in small groups to explore core elements of pedagogical best practices embedded in the template, including backward design, enduring understandings, learning outcomes, inclusive teaching practices, and learner assessment. Groups will unpack these concepts and return to the main session to share takeaways and questions. After clarifying their understanding, attendees will join a presenter-moderated breakout to 3) use a guided worksheet to draft lesson plans for their own teaching individually and then share their drafts with a partner for feedback. Finally, attendees will return to the main session to 4) consider opportunities to incorporate lesson planning into their teaching practice and explore options for self-reflection and ongoing lesson development.

Instructors: John Watts, Megan Oakleaf, Heather Charlotte Owen, and Tiana Johnson

Tuesday, March 15, 2022

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Welcome and Opening Keynote

Keynote: Jordan Harrod

Jordan Harrod (she/her) is a PhD Candidate in Medical Engineering and Medical Physics at the Harvard-MIT Health Sciences and Technology program. She works at the intersection of non-invasive brain-machine interfaces and machine learning for pain and anesthesia under Dr. Ed Boyden and Dr. Emery Brown. Jordan received her Bachelor of Science in Biomedical Engineering from Cornell University in 2018, where she worked on interfacial tissue engineering, medical image analysis, and machine learning for MRI reconstruction. In her spare time, Jordan is actively involved in science communication via her YouTube channel, which focuses on engaging the public on artificial intelligence, as well as on Twitter, Tiktok, and Instagram. 



10 minute Break



Presentations Session 1



30 minute break and time with exhibitors



Lightning Talks Session 1



Social: New members event

Wednesday, March 16, 2022

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Social: Kickstart day 2 of the Summit with other Summit attendees 



Lightning Talks Session 2



15 minute Break



Presentations Session 2 | Presentations Session 3



40 minute break time with posters and exhibitors



Presentations Session 4



Social: Games night

Thursday, March 17, 2022

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8-9am Social: Kickstart day 3 of the RDAP Summit with other Summit attendees



40 minute break time with posters and exhibitors



Panel: Data Support Services Needs in the DIY Era



15 minute Break



RDAP Journal Club

Have you read a great article or book recently? Curious about what’s been published on research data? Led by the RDAP Education & Resources Committee, join us for a special Summit edition of the RDAP Journal Club!

Bring an article/book you’d like to share – we ask only that you can relate it to data work and that it not be your own research. Give us a short introduction (3 minutes) to the work and tell us what was great (or needs more investigation!). Looking for ideas of articles to read? We’ll be sharing a list of articles related to the conference theme that  you can choose from. Don’t have a book/article, no worries! Come and listen and engage with others looking to discuss data related research.



RDAP Business Meeting and Closing


The RDAP community brings together a variety of individuals, including data managers and curators, librarians, archivists, researchers, educators, students, technologists, and data scientists from academic institutions, data centers, funding agencies, and industry who represent a wide range of STEM disciplines, social sciences, and humanities.



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