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- Type:
- Media
- Description/Abstract:
- This webinar was a part of the Data and Computation Science Series and one of five webinars focused on the Publishing Lifecycle of Data. It occurred on June 29, 2020, at 1:00 pm EDT. Presenter Bio: Geoffrey Pinski is the Assistant Vice President for Technology Transfer in the University of Cincinnati's Office of Innovation. Housed in UC's 1819 Innovation Hub, Geoffrey leads the team responsible for identifying and commercializing the research and innovations of UC’s faculty, staff, and students. Geoffrey rose through ranks, holding nearly every position along the way; starting first as an extern during law school. Under his leadership, the office has set records for invention disclosures, licenses, and startups. As the President of the Ohio Technology Transfer Officers Counsel, he helped develop the Ohio IP Promise; a promise by all 14 states and 2 of the private institutions in Ohio to provide a unified process for commercialization. Session Description: Data is a loaded term - it covers everything from raw numbers to software code. Come learn more about the intersection of Intellectual Property and data; how to protect data, while sharing it; and how and when commercialization might be an avenue. And finally, learn what resources are available to help you navigate the waters of data and Intellectual Property. There is both a ppt slide deck and a mp4 session.
- Creator/Author:
- Geoffrey Pinski
- Submitter:
- Amy Koshoffer
- Date Uploaded:
- 07/01/2020
- Date Modified:
- 08/19/2020
- Date Created:
- 2020-06-29
- License:
- Attribution 4.0 International
- Type:
- Media
- Description/Abstract:
- This video is the recording of the fourth webinar RDAP “Ask me Anything” town hall series entitled “Data Management for GIS projects”, held on February 26, 2020. It was jointly sponsored by RDAP and the University Consortium for Geographic Information Science (UCGIS). UCGIS was host this webinar. Webinar Description: With federal and other funding agencies wanting to ensure long term access to research output, data management planning for GIS projects has great importance. This webinar shares insight on lessons learned through GIS projects and highlights best practices for different steps in project exploration and creation. Also in this webinar, a geology researcher using GIS techniques and collecting geospatial data will explain how she communicated her use of best practices through a data management plan for a successfully funded NSF grant. Attendees will understand the importance of well-written data management plans, how to put those plans into action through implementing data management planning and reproducible research best practices, and how library engagement can help with data management planning. Presenters: Amy Koshoffer, University of Cincinnati; Jennifer Latessa, University of Cincinnati; and Paula Figueiredo, North Carolina State University Slide deck is also included. About UC–GIS: The University Consortium for Geographic Information Science (UCGIS) is a non-profit organization that creates and supports communities of practice for GIScience research, education, and policy endeavors in higher education and with allied institutions. We are the professional hub for the academic GIS community in the United States, with partnerships extending this capacity abroad.
- Creator/Author:
- Koshoffer, Amy; Paula Marques Figueiredo, and Jennifer Latessa
- Submitter:
- Amy Koshoffer
- Date Uploaded:
- 02/28/2020
- Date Modified:
- 02/28/2020
- Date Created:
- 2020-02-27
- License:
- Attribution-NonCommercial-NoDerivs 4.0 International
- Type:
- Media
- Description/Abstract:
- This webinar was presented to the RDAP community on January 29, 2020 @ 1 pm EST. The goal of the webinar was to raise awareness of the special requirements of clinical data for data management. Managing data has a number of common principles that get applied to each subject domain. As a result, it’s easy to start consideration of data with a disciplinary subject and data structure. But in the health sciences and medicine there is a key issue that has to be asked first: Is it clinical research data? Before delving into metadata standards, FAIR principles, or sharing, a health sciences data librarian often starts with the clinical/nonclinical distinction. But what’s so special about clinical data? What do we even mean when we talk about clinical data? This session will introduce basic concepts in clinical data management, processes that are commonly used by researchers looking to do clinical data research. We will explore how a health sciences library can provide patron support on local infrastructure for accessing and using clinical data for research. We will also provide resources for further exploration by librarians and patrons. Attendees will come away with: (1) a better understanding of basic terminology and data workflows in clinical research data management; (2) a sense of typical workflows that happen with the clinical research data lifecycle; (3) an introduction to systems in clinical data collection and analysis, particularly REDCAP; and, (4) at least one answer to the question of “What’s different about clinical?” When it comes to data. Date: January 29, 2020 @ 1 pm EST Presenters: Nina Exner is the research data librarian at Virginia Commonwealth University, serving both the medical and core campuses. Before joining VCU in 2017, she was a Researcher and Grant Support Services librarian, supporting all disciplines. She received her Master’s in Library Science in 1997 from North Carolina Central University and her Ph.D. in information science from UNC-Chapel Hill in 2019. ORCID 0000-0002-8746-8364 Christy E Navarro joined UC Davis in August of 2019 as Health Library Informaticist at Blaisdell Medical Library. Prior to that she designed privacy programs for large health systems in California, helped implement ecosystems of research data sharing, developed best practice guidelines in data management, and served as the resource of choice for privacy, data de-identification, and research data questions. She brings 20 years of expertise in healthcare informatics, health information exchange, process improvement, program design, population health improvement, human subject research and patient & consumer privacy. Christy has a Master of Science in Health Informatics from UC Davis Health and a Bachelor of Science in Business with an emphasis in Management Information Systems from CSU Sacramento. Lori D Sloane has been working at the University of New Mexico Health Sciences Center since 1990. For the first 23 years, she has been the IT support for researchers on campus. Lori brought REDCap to the University of New Mexico as one of the first 13 sites to pilot this software. She transitioned into a Data Manager position for the Health Sciences Library and Informatics Center seven years ago.
- Creator/Author:
- Koshoffer, Amy; Sloane, Lori D ; Navarro, Christy E , and Exner, Nina
- Submitter:
- Amy Koshoffer
- Date Uploaded:
- 01/31/2020
- Date Modified:
- 02/21/2020
- Date Created:
- 2020-01-29
- License:
- Attribution-NonCommercial-NoDerivs 4.0 International
- Type:
- Media
- Description/Abstract:
- This webinar was presented to the RDAP community on December 2, 2019 at 12 pm EST. The goal of the webinar was to hear from the RDAP community about their experiences with institutional research data policies that regulate the ownership, management, and transfer of research data in an institution. The webinar organizing committee was Sophie Hou, Amy Schuler, and Clara Liebot invited panelists were: Kristin Briney, Biology & Biochemistry Librarian, Caltech University, Heather Coates, Digital Scholarship & Data Management Librarian / Co-Director, Center for Digital Scholarship, Indiana University Purdue University Indianapolis, Abigail Goben, Information Services and Data Management Librarian Associate Professor, University of Illinois-Chicago, Jonathan Petters, University Libraries Data Management Consultant and Curation Services Coordinator, Virginia Polytechnic Institute and State University. Background/Use Case (provided by Clara Llebot of Oregon State University): I work in a research intensive university as the library data management specialist. I have worked occasionally on data policies during my time here, like when we wrote the policy that regulates dataset reviews in our institutional repository. These policies were usually flexible, informative, and a helpful tool for me. Earlier this year I was asked to be part of a committee that would create an institutional research data management policy in our institution. I was thrilled that the library was being asked to participate, and at the same time terrified that I had no idea what I was getting into. I have been generally interested in concepts around data ownership, the interactions between copyright and data, decision making regarding research data, etc., but I felt unprepared.An institutional research data policy is, from my perspective, a policy that affects a lot of people, and that has the potential of changing behaviors and research practices in a way that I am definitely not used to. We are still beginning the process of creating the policy, so right now what I have is mostly questions, not answers, about what an institutional research data policy should say. Main Discussion Questions: 1. Motivations for the policy Is an institutional research data policy necessary in any institution? What are the issues/gaps that we are trying to address through this policy? What should be the goal of an institutional research data policy? 2. Roles and responsibilities Who should be involved in creating this kind of policy? How should the faculty be involved in the creation of this policy? How should a research data policy be enforced? How should students be affected by this policy? 3. Outcomes of existing data policies What is the type of content addressed in an institutional research data policy? Should ownership be a part of it? Are research data policies encouraging or deterring open data? What can we do, when writing this type of policy, to make clear that the university supports open data? Or should this be in different policies? What are some examples of situations that are easier/better because there is a research data policy at an institution?
- Creator/Author:
- Koshoffer, Amy
- Submitter:
- Amy Koshoffer
- Date Uploaded:
- 12/03/2019
- Date Modified:
- 01/31/2020
- Date Created:
- 2019-12-02
- License:
- Attribution-NonCommercial-NoDerivs 4.0 International
- Type:
- Article
- Description/Abstract:
- This use case appears in Curating Research Data V2, an ACRL publication edited by Lisa R Johnston. Both volumes of the book are available as open access editions at the following link. http://www.ala.org/acrl/publications/booksanddigitalresources/booksmonographs/catalog/publications The use case examines the metadata contributed in a self-submission repository model and what changes were made in the metadata form to encourage researchers to contribute quality metadata.
- Creator/Author:
- Koshoffer, Amy; Hansen, Carolyn, and Newman, Linda
- Submitter:
- Amy Koshoffer
- Date Uploaded:
- 01/30/2017
- Date Modified:
- 02/21/2017
- Date Created:
- 2016-02-12
- License:
- Attribution-NonCommercial-NoDerivs 4.0 International