Announcing the New RDAP Logo!

Announcing the New RDAP Logo!

As many of you are aware, the discussion around the RDAP logo has been ongoing for a number of years. A logo is important for a professional organization for a number of reasons: 

  • to provide a visual identity for the RDAP community across platforms and communication methods, 
  • to solidify the RDAP Association brand and leverage that brand to demonstrate investment and sustainability to potential partners
  • to maintain rights to our brand over time via trademark, and more. 

With this in mind, RDAP Leadership prioritized the logo redesign for the 2019-2020 fiscal year as a strategic goal for the sustainability of the organization. 

RDAP Leadership worked with Project7 Design to complete the redesign of the logo. With their help, Leadership conveyed RDAP Association’s values, mission, and community to P7, who  provided options that showcased different aspects of the RDAP Association. Ultimately, RDAP Leadership selected a logo that reflects that many pieces necessary to make up the whole of our incredible community. This logo provides a timeless and inclusive brand for the RDAP Association community. 

Without further introduction, here’s our new logo!

Our website and social media will begin to reflect our new logo and we’ll hope you’ll join us in celebrating this exciting new chapter for RDAP! Be sure to share your excitement using the #RDAP20 hashtag or mention us and we’ll be sure to retweet you!

Data Management for GIS projects

Data Management for GIS projects

The next webinar in our RDAP “Ask me Anything” town hall series is entitled “Data Management for GIS projects”, and is jointly sponsored by RDAP and the University Consortium for Geographic Information Science (UCGIS). UCGIS will 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

Please register for Data Management for GIS Projects on Feb 26, 2020 2:00 PM EST at: https://attendee.gotowebinar.com/register/7664982934109934348

After registering, you will receive a confirmation email containing information about joining the webinar.

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. Check to see if your institution is a member – https://www.ucgis.org/members

RDAP “Ask me Anything” town hall “What’s Different about Clinical Data?”

RDAP “Ask me Anything” town hall “What’s Different about Clinical Data?” – January 29

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 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

Webex Information:

Join WebEx meeting – https://ucincinnati.webex.com/ucincinnati/j.php?MTID=maa4fea22e94b23e5bb92d4b4e0c7fe6b Meeting number (access code): 641 892 916 Meeting password: qCHrqstM

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Presenters:

Nina 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 PhD in information science from UNC-Chapel Hill in 2019. ORCID 0000-0002-8746-8364

Christy 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 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.

Town Hall on RDAP’s response to NIH’s Draft Policy for Data Management and Sharing

Town Hall on RDAP’s response to NIH’s Draft Policy for Data Management and Sharing

The RDAP Executive Board is coordinating a response to NIH’s Draft Policy for Data Management & Sharing. To solicit feedback from our members, we’re hosting a Town Hall on Monday, December 9 at 12 pm EST. Connection info to the Zoom meeting is below. 

Prior to the Town Hall, please review the following documents from the NIH: Draft Policy for Data Management & Sharing

If you are unable to attend the Town Hall (or have more feedback after the Town Hall), we welcome your feedback via this Google Form (https://docs.google.com/forms/d/e/1FAIpQLSeDqfh7VEfhrqYPW-tRsRalW15wxl9w9jc-yD9QQHryGe7jRw/viewform).

Please provide feedback by end of the day Wednesday, December 11.  After gathering general feedback on this policy, we will draft a response and share it with you, again soliciting feedback. Responses are due to the NIH by January 10, 2020.  Thanks and we look forward to hearing from you!

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“Ask Me Anything” series – Institutional Research Data Policy

“Ask Me Anything” series – Institutional Research Data Policy

Please join your colleagues for the December RDAP Town Hall “Ask Me Anything” series on Institutional Research Data Policy. The Town Hall will be held on December 2nd at Noon EST.

We would like 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.

To guide the conversation, the invited panelists will be

  • 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
    1. Is an institutional research data policy necessary in any institution?
    2. What are the issues/gaps that we are trying to address through this policy?
    3. What should be the goal of an institutional research data policy?
  2. Roles and responsibilities
    1. Who should be involved in creating this kind of policy?
    2. How should the faculty be involved in the creation of this policy?
    3. How should a research data policy be enforced?
    4. How should students be affected by this policy?
  3. Outcomes of existing data policies
    1. What is the type of content addressed in an institutional research data policy? Should ownership be a part of it?
    2. Are research data policies encouraging or deterring open data?
    3. 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?
    4. What are some examples of situations that are easier/better because there is a research data policy at an institution?

— Do not delete or change any of the following text. —

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Join WebEx meeting Meeting number (access code): 317 347 647
Meeting password: JjBCYx2r
Join from a video system or application Dial 317347647@ucincinnati.webex.com You can also dial 173.243.2.68 and enter your meeting number.
Join by phone
Tap to call in from a mobile device (attendees only)
+1-415-655-0002 US Toll

Joining a WebEx meeting? Check out our participation guide for more information. Can’t join the meeting? If you are a host, go here to view host information. IMPORTANT NOTICE: Please note that this Webex service allows audio and other information sent during the session to be recorded, which may be discoverable in a legal matter. By joining this session, you automatically consent to such recordings. If you do not consent to being recorded, discuss your concerns with the host or do not join the session.