National Network of Libraries of Medicine
English Arabic Chinese (Simplified) French Hindi Japanese Korean Persian Portuguese Russian Spanish

Data Science

Purdue University Funded to Provide RDM Training

GMR Data Science - Fri, 2019-05-17 11:40

The GMR is excited to announce that Purdue University has received funding through the Research Data Award to provide research data management training to students. Training workshops will include FAIR Data Principles, Research Data Management Basics: Finding and Organizing Data, Cleaning and Formatting Data with OpenRefine, General Tips for Visualizing Biomedical Data, Biomedical Data Visualization with Tableau, and Useful R Packages for Analyzing and Visualizing Biomedical Data.

The workshops will be part of a larger project that seeks to study and understand rates of attrition in biomedical data challenges. In this context, researchers at Purdue will also host a Biomedical Data Challenge and conduct focus group sessions with individuals who drop out to better understand the reasons why. In addition to presenting results of their research at conferences throughout the year, a digital open education resource toolkit will be developed to help guide librarians in recruiting for and retaining diversity in data hacking challenges.

This projects supports Goal 3 of the NLM Strategic Plan, to build a workforce for data driven research and health, and supports the aligning objectives to expand and enhance research training for biomedical informatics and data science, to assure data science and open science proficiency, to increase workforce diversity, and to engage the next generation and promote data literacy.

Categories: Data Science

Data Flash: Can Librarians Hack it for Health? Yes!!!

PNR Data Science - Tue, 2019-05-14 19:13

Opened book with code in the background

Can librarians hack it in a hackathon?  The answer to that question is a resounding yes!!!  As a former hackathon librarian participant, I can confidently give you my word that librarians are an asset to any hackathon team.

From April 12th-14th, 2019, I, a health sciences librarian, flew out to Spokane, WA from Seattle, WA to participate in the 2nd Annual Med Hackathon at Washington State University’s (WSU) Elson S. Floyd College of Medicine (ESFCOM).  ESFCOM’s 2nd Annual Med Hackathon was a community health hackathon that drew people from all kinds of disciplines from computer engineering to medical librarianship!

The WSU Med Hackathon was a three-day event whose theme this year was tackling behavioral health challenges in rural Washington state with the intent of destigmatizing mental illness.  On the first day/night, we listened to a couple of keynote speakers talk about the need for mental health services especially in Washington State and we ended our night with participants pitching their problems and respective solutions to behavioral health challenges.  I was going to pitch my idea about creating a mobile app that would deliver cognitive and dialectical behavioral therapy (CBT and DBT) to mental health patients, but I heard someone else pitching a similar idea to mine.  As a result, I ended up meeting up with this mental health counselor to discuss and develop our overlapping idea even more at the networking event later that evening.  Our initial team of two organically grew into a dynamic team of five people; my team had computer engineers, a mental health counselor, a graphic designer, and a health sciences librarian, me!

The beauty of the WSU Med Hackathon is the skill diversity that it encourages and promotes with each participating hackathon team!  As someone who knows very little about computer programming compared to a computer engineer, I was able to really leverage my research skills and health sciences background in order to make a meaningful team contribution.  Although, I was not able to contribute directly to the computer programming of the CBT/DBT mobile app, our team’s final and competitive product, or to the visual design of the app itself, I was able to contribute in other meaningful ways.  For example, in addition to doing all of the product and patent research for my team’s app, I was also able to provide feedback about the overall usability and design of our team’s mobile app.  As well, I was able to really apply my instructional and presentation skills by co-authoring a presentation script and co-presenting a 3-minute product pitch, which ultimately determined my team’s fate in this hackathon.

My team worked all day Saturday and into the early morning Sunday on our product.  On Sunday, we pitched for three minutes our final product, the CBT/DBT mobile app, to the three hackathon judges.  Mid-day, the hackathon winners were announced; it was announced that my team, Project Hope, had won third place for our CBT/DBT mobile app at WSU’s 2nd Annual Med Hackathon.  Our third place finishing is proof that librarians as an integral part of a team or in any collaboration is an invaluable asset!

Categories: Data Science

Cultivating Data-Savvy Services, Bit by Bit

SCR Data Science - Thu, 2019-05-02 15:34

We’re back after a brief hiatus, and our guest author for today’s post is Sheila Green, Health Science Center – Bryan Campus Librarian with the Medical Sciences Library, Texas A&M University Libraries. At the beginning of this year, she was awarded a professional development award to advance her skills in research data management from the National Network of Libraries of Medicine Training Office (NNLM NTO). As part of her award, she was encouraged to share lessons and outcomes from her experience. We are proud to have her in our region!

Sheila GreenI’m a subject liaison to a College of Medicine. I identify points of pain for faculty and provide library services to ease that pain. I knew research data management (RDM) services had potential, but I needed to understand researcher data processes and how they differed from my private industry background. I needed to know the questions to ask, how to listen for the pain points in their answers, and offer services within my capacity.

My first professional development course from the NNLM NTO resulted in a workshop for graduate students, faculty, and staff based on the Research Data Management Teaching Toolkit. Adapting existing tools helped me focus on issues at my institution and not the mechanics of building a workshop.

Feedback from the workshop and informal conversations unearthed interest in reproducibility and lab data processes. A casual email inquiry about RedCap support generated a response with bolded sentences from a research director – another unmet need identified. I wanted to know more to grow more services – again.

The next professional development opportunity from the NNLM NTO funded a trip to New York University Health Sciences Library to meet with the Data Services Team, observe RDM and visualization classes, meet with NYU Data Services, and attend a Columbia University Symposium Promoting Credibility, Reproducibility and Integrity in Research.

I’ve planted more RDM service seedlings since my return. The incoming College of Medicine graduate students will attend an adapted Research Data Management Hands on Workshop at orientation. The exploratory meeting with researchers about RedCap workshops is next week. Postdoc and Student Research directors are going to be exposed shortly to ways we can insert reproducible processes into their training programs.

“Data ready” isn’t just about gathering knowledge. It’s also about plowing new ground, planting ideas with researchers and leadership, cultivating opportunities that pop up, and sharing the harvest with each other.

Categories: Data Science

Highlights of Funding Collaboration Between NNLM PSR and the Public Library Association on Project Outcome Activities

PSR Data Science - Mon, 2019-04-29 19:09

by Samantha Lopez
Program Officer
Public Library Association,
a division of the American Library Association
Chicago, IL

The Public Library Association (PLA), a division of the American Library Association, has added another collaborative project to its ongoing partnership with the National Network of Libraries of Medicine (NNLM), a program of the National Library of Medicine (NLM). Through this partnership with NNLM, PLA has expanded its performance measurement toolkit, Project Outcome, with the addition of standardized health surveys designed to help public libraries measure the impact of their health programming and services. Funding for the creation of the new surveys was provided by three of NNLM’s eight regional medical libraries: MidContinental, Pacific Southwest, and South Central.

Project Outcome is a free online toolkit that helps public libraries measure the impact of their programs and services by providing standardized surveys and an easy-to-use process for measuring and analyzing outcomes. Measuring outcomes helps libraries demonstrate their effectiveness beyond attendance and door counts. By using standardized surveys, participants of Project Outcome can aggregate their outcomes data consistently across different programs, locations, and time, as well as compare their aggregate data at regional, state, and national levels. Since launching in 2015, Project Outcome has collected over 200,000 patron surveys from nearly 1,500 public libraries across the U.S. and Canada.

Icons representing early childhood literacy, digital learning, education/lifelong learning, health, job skills, economic development, civic/community enagement and summer reading

Project Outcome provides standardized outcome surveys in these eight library service areas. Photo Credit.

Project Outcome’s standardized surveys measure four key outcomes: knowledge, confidence, application and awareness. The new health surveys, developed by NNLM, will help public libraries better understand how their programs and services are helping patrons learn more about being healthy, feel confident about taking care of their or their family’s health, adopt or maintain a healthier lifestyle, and increase their awareness of health-related resources and services provided by the library.

Libraries have the option to select from two types of health surveys: immediate and follow-up. The immediate survey gauges patrons’ intent to change a behavior, while the follow-up survey captures whether patrons did change as a result of the library program or service. For instance, the immediate health survey asks patrons if they feel more confident taking care of their or their family’s health and the follow-up health survey asks patrons if they are better able to take care of their or their family’s health. The combination of these two surveys will help libraries demonstrate their impact on health services more effectively to their communities and beyond.

With funding support from the NNLM, Pacific Southwest Region, PLA was able to quickly integrate the health surveys into Project Outcome’s online toolkit, training resources, and data dashboards and reports. These tools help libraries get free access to standardized outcome measures and visualizations, helping them save time and resources in their data collection. In addition to the health surveys, libraries receive training and resource support to increase their understanding of the importance of providing community health programs and services.

The goal of this collaborative project between PLA and NNLM is that public libraries will use the new health surveys to measure their impact, make strategic decisions around programming to help create healthier communities, and better advocate for the public library as a trusted health information resource. To learn more about how PLA’s Project Outcome is helping turn better data into better libraries, please visit the website or contact us.

Categories: Data Science

Chock-a-Block Full – Learning from the NYUHSL Research Data Management Team!

PSR Data Science - Thu, 2019-04-25 18:40

by Andrea Lynch, MLIS
Scholarly Communication Librarian
City of Hope Lee Graff Medical & Scientific Library
Duarte, CA

The announcement about the National Network of Libraries of Medicine (NNLM) Training Office Data Management Professional Development funding opportunity was in my email inbox. I wasn’t going to apply initially, but was reminded via email about this opportunity by Alan Carr, associate director of the NNLM PSR Network office, and thought I should apply. I reached out to Dr. Alisa Surkis and Kevin Read to see if a visit to New York University (NYU) was possible. Given the highlights at the 2018 NNLM Research Data Management (RDM) Course Capstone Summit of the New York University Langone Health’s Research Data Management Training for Information Professionals, I knew spending time with the dynamic duo would be impactful. Good news for me, I wasn’t alone since there were three other librarians who were already working on and planning with Alisa and Kevin for a research data management intensive couple of days in late March (Jennifer Chaput of University of Connecticut, Sheila Green of Texas A&M University, and Kathryn Anne Vela of Washington State University). And then, the NYU RDM gurus shared with the librarian group that a research reproducibility symposium at Columbia University was happening the Friday after our potential two-day NYU visit. I applied for the NNLM Training Office professional development opportunity and was lucky enough to be one of the awardees, leading to three full and wonderful days with the NYU Health Sciences Library RDM experts!

Alisa and Kevin planned two days of activities and meetings at NYU (March 27-28, 2019). The agenda was a well planned collection of experiences in order for us to be fully immersed in their environment and to get a sense of their RDM outreach, consultation, and educational program. Our first day set the tone for the visit. Jeff Williams, director of the NYU Health Sciences Library, provided the context and some history so that we could see how their RDM activities fit into the larger library and overall institutional efforts. Jumping right into the overview and history of how RDM started at the NYU Health Sciences Library, Alisa and Kevin, along with Fred LaPolla and Nicole Contaxis, shared their successes and lessons learned along their RDM journey. Next on the first day’s schedule was an overview of their data catalog project and how they are collaborating with eight other institutions to implement their open source system. The data visualization program was highlighted by Fred LaPolla, with more to come the second day seeing him in action. Then we were off to Kevin’s RDM class with NYU basic sciences graduate students. The class was a wonderful recap of the concepts presented during the NNLM RDM 101 course, and ended with an alien brain scan data scenario that got the students excited about winning a very special tool.

The second day began with Fred’s Microsoft Excel and data visualization class. I learned something new about Excel, Sparklines. Fred provided a great example of a clear and concise teaching approach with tips and tricks for thinking of Excel in a new way. We were then treated to lunch by Jeff Williams (Thank you, Jeff!). Next, we enjoyed a walking tour of NYC with a brief stop at the best little store with just about every hot sauce, spice, and tea option available! The last stop was at NYU’s main campus to hear highlights from two members of the NYU RDM team; Scott Collard and Vicky Steeves. Three things that stayed with me from that afternoon:

  1. They organize their classes along the research cycle. Great idea!
  2. Responsible conduct of research requirement is tied to the library.
  3. They hire graduate students to provide RDM assistance and teach classes.

The third day, March 29th, we attended the all-day A University Symposium: Promoting Credibility, Reproducibility, and Integrity in Research at Columbia University and co-sponsored by a number of institutions, including NYU. Attending this symposium was a perfect way to spend the third RDM learning day in NYC. Hearing the initiatives and efforts focused on research reproducibility and transparency-related tenure and promotion practices gave me additional reasons why libraries and librarians should be engaged in RDM initiatives. It is about education, advocacy, and collaboration. The symposium session that really got me going, and started off the day, was the keynote about implicit and perception bias by Dr. Brian Nosek, professor at the University of Virgina. Check out this one-hour video on the topic, presented by Dr. Nosek at the University of California, San Diego.

What hosts the NYU Health Sciences Library RDM team members are! The visit was the ideal mix of seriousness and fun, and broke down the barriers of starting and maintaining a RDM program. Below are just a few of the gold nuggets from my time with the NYUHSL RDM team. These tidbits are paraphrased and some are combined statements from multiple NYUHSL RDM team members; Alisa, Kevin, Fred, and Nicole.

  • Find the research data pain points and turn them into use cases in the educational and outreach threads of your RDM program.
  • Collaboration is key. RDM lynchpins and champions are critical.
  • The gems are the people who show up for classes and share their experiences and can connect you with others for assistance or additional learning.
  • It takes time and presence to build up these programs.
  • Do something…get started!
  • Get the word out…and be relentless.
  • Obtain stories about impact; then share those stories.
  • “You asked me to!” This is the reason people were contributing to our data catalog.
  • Start with what you have. Have PRISM or Excel? Start there. Offer a class!

I hope my next guest blog post on Latitudes will be an overview of our library’s initial educational and service RDM offerings, assessment of our inaugural RDM program, and next steps for future activities. It won’t be for a while, but it will happen…because I will do something with all I’ve learned and will get started with RDM at my library. Thanks again to NNLM NTO for this opportunity and to the awesome team at NYUHSL for sharing so much!

Categories: Data Science

The University of Cincinnati Mentors the University of Louisville in Developing Research Data Management (RDM) Services

GMR Data Science - Thu, 2019-04-25 10:12

This guest post is written by Rebecca Morgan, Clinical Librarian & Assistant Professor at the University of Louisville

Last year, I completed the NNLM’s inaugural RDM 101: Biomedical and Health Research Data Management (RDM) Training for Librarians course, conducted by the National Training Office (NTO). As a member of the RDM 101 cohort, I was given the opportunity in early 2019 to apply for a professional development award for RDM, also provided by the NTO. This award connected recipients to a data mentor who could provide personalized, hands on guidance on initiating or expanding data services. The provided funds would support travel to and from the mentor and/or mentee’s respective institutions.

This type of formal mentorship was exactly what my institution needed. The University of Louisville, currently has no data services program or the resources available to hire a data librarian or transition an existing staff member into a more data-centric role. Although we’ve discussed our desire to provide some degree of RDM services for some time, our lack of institutional expertise has stymied us. Having an experienced mentor to guide us might be just what we needed to get off the ground.

I am happy to say I was selected as an award recipient and that Amy Koshoffer, Assistant Director of Research and Data Services at University of Cincinnati (UC), agreed to serve as my mentor. I had met Amy during RDM 101, so I knew she was not only very knowledgeable, but also fully dedicated to helping others become more skilled and successful in providing data-related services.

On March 4th, 2019, the University of Louisville welcomed Amy to our campus to present on initiating and sustaining research data management services in academic libraries. In addition to our own faculty and staff, several colleagues from regional institutions such as the University of Kentucky, Norton Healthcare, and Sullivan University also attended.

Amy’s visit was comprised of two presentations. The first was an overview of how UC started their data services program and what services they are currently offering today. She was very candid about discussing what worked, what didn’t, and what lessons were learned along the way. This presentation not only showed attendees where and how RDM services could start, but also gave us a taste of what we could eventually build to in the future. The second presentation was a demonstration of the kind of workshop Amy and her team might provide to researchers interested in learning more about how to manage their data. This practical demonstration helped attendees conceptualize the kind of programs we might be able to someday develop at our own institutions.

The discussions after each presentation were especially valuable in helping clear up some common misconceptions about what it means to provide RDM services. Many attendees assumed that you had to manage your own data repository or be an expert in R, Python, or REDCAP to provide adequate RDM support. Amy assured attendees that building data services can be a slow and steady process that should be scaled to whatever each institution can manage or maintain.

The benefit gained from Amy’s visit was immediately apparent. Within a couple weeks of her visit, UofL established a task force to write a strategic plan for providing data services at our own institution. We are also in contact with some of our counterparts at the University of Kentucky to explore ways to work cross-intuitionally to build up a community of practice in our state. Without the knowledge and direction gained by Amy’s visit, I doubt we would have advanced in these areas as quickly as we have. Having access to someone with expertise in this field who can provide practical answers and guidance was exactly what we needed to get the ball rolling.

As part of this award, I was also able to visit Amy at the University of Cincinnati for their fourth annual Data Day. Fellow RDM 101 alum Elena Azadbahkt, who was also being mentored by Amy, also attended. To learn more about our experiences at Data Day and about our experiences at the UC, please read Elena’s wonderful report here:

Categories: Data Science

Citizen Science Day Megathon Promotes Alzheimer’s Disease Research!

PSR Data Science - Mon, 2019-04-22 15:33

To celebrate Citizen Science Day 2019, the Stall Catchers Megathon took place around the world on Saturday, April 13th. Citizen Science Day is an annual event to celebrate participation and engagement in real science by members of the general public. On April 13th, libraries in many parts of the country hosted the Megathon, a worldwide event for anyone to join in to analyze real research data in a game format. Local teams gathered in many locations, including public libraries, enabling this global project to have a small town feel while regular people did real science.

To build community engagement through citizen science projects in public libraries, NNLM PSR partnered with SciStarter, an online citizen science community, and Arizona State University, which had been working with public libraries in the Phoenix area on citizen science projects for over a year. The project focused on building relationships and capacity in public libraries across the country as community science centers, culminating in a common Citizen Science Day event. Citizen science projects can fall into many different scientific disciplines, including medical research. The Stall Catchers online game was created by the Human Computation Institute to support Alzheimer’s research being conducted at Cornell University; participants watch short video clips displaying blood flow in the research mice’s brains and determine if the blood is flowing or stalled.

Dan Stanton, Arizona State University librarian and Director of Library Programs at SciStarter:

I feel like I’ve been working on this since Citizen Science Day 2018! So for me, the amazing thing about Citizen Science Day 2019 was the progress made in getting the word out about the critical role libraries can play in Citizen Science. In the past year we’ve gone from localized displays and other programming, to a national campaign for libraries that included weekly open planning calls; quality promotional resources including bookmarks, posters, and a detailed Librarian’s Guide to Citizen Science; and a project focused on a topic that touches everyone, and includes cool science and a clear explanation of how participating contributes to ongoing scientific research. I want to thank NNLM PSR, and especially Kelli Ham, for being such important partners in the movement to connect Citizen Science and libraries!

The Los Angeles Public Library hosted multiple Megathon sites, and was declared the “winner” of the points challenge during the event. Here are some of the winning citizen scientists who participated at the Los Angeles Central Public Library composed of staff from NNLM, SciStarter, and LAPL, as well as other local citizen scientists:

participants of Citizen Science Day holding up laptops and mobile devices displaying the stall catchers app

Citizen Science Day participants at Los Angeles Public Library

The EyesOnAlz blog posted an early peak at the #Megathon research results. The post indicates that the research question addressed on Saturday was whether stalls occur more frequently in the brains of mice that have high blood pressure, and if that stalling can be reversed.

“Despite a slightly rocky road, we broke some serious records during the Megathon weekend! Never before have we done so much research in a single Stall Catchers event, and had so many people playing at the same time. We were featured on Science Friday, and Alzheimer’s Speaks Radio! Plus, we were thrilled to have Australia & Asia join us in a last minute self-organized pre-Megathon event, as well as a group of students from Dickson County High School who were keen to do their part on Monday, and help us finish up analysis of the Megathon dataset!!”

Darlene Cavalier, Founder of SciStarter and Professor of Practice at the School for the Future of Innovation in Society at ASU, added, “The collective accomplishments of Citizen Science Day would not have been possible without the support of NNLM PSR. The support enabled libraries and others to host community-centered events and promote ongoing citizen science programs in ways that transcend a single day.”

Categories: Data Science

Apply to be NNLM MAR’s Academic Coordinator

MAR Data Science - Thu, 2019-04-18 09:55

The University of Pittsburgh Health Sciences Library System (HSLS) invites applications for the position of Academic Coordinator for the Middle Atlantic Region of the National Network of Libraries of Medicine (NNLM MAR). We are looking for an energetic, creative, innovative, and service-oriented individual interested in being part of a collaborative team that works together to improve access to, and sharing of biomedical and health information resources, with an emphasis on resources produced by the National Library of Medicine.

Funded by the National Library of Medicine (NLM) through a cooperative agreement, HSLS serves as the regional medical library headquarters for the Middle Atlantic Region, one of eight regions in the NNLM nationwide program. NNLM MAR comprises Delaware, New Jersey, New York and Pennsylvania. The NNLM mission is to ensure health professionals, researchers, the public health workforce, patients, families and the general public have access to quality health information.

The Academic Coordinator has primary responsibility for designing and evaluating outreach and education programs aimed at library staff working in academic institutions, with a special focus on community colleges, research universities and colleges/universities with programs in the health sciences, health and science education, library science, emergency management, and environmental health. The position has an expanded role in aligning NNLM MAR programs for academic libraries with new and changing NLM initiatives. This position is NNLM MAR’s liaison to initiatives aligned with NLM’s call for a new generation of “data-savvy librarians”.

For a complete job description and application details please see the full job posting.

Application review will begin May 15, 2019.

NNLM MAR Executive Director Kate Flewelling will be at the Medical Library Association conference and would be happy to speak with anyone interested in the position. Please email her ( to set up a time.

Categories: Data Science

Report on the 4th Annual “Data Day” at the University of Cincinnati

PSR Data Science - Wed, 2019-04-17 18:11

by Elena Azadbakht
Health Sciences Librarian
University of Nevada, Reno Libraries

In early 2018, I secured a spot in the National Network of Libraries of Medicine’s inaugural RDM 101: Biomedical and Health Research Data Management Training for Librarians, conducted by the National Training Office (NTO). I learned quite a bit about research data management (RDM) during the eight-week online course. At the time, I was the Health and Nursing Librarian at the University of Southern Mississippi, and I wrote about my RDM 101 experience in a post on the Southern Chapter’s blog, Southern Salutations. I have since moved into my current position as the Health Sciences Librarian at the University of Nevada, Reno (UNR), but I remain intensely interested in developing a robust RDM program.

During the first week of April, I visited the University of Cincinnati (UC) for a few days, also courtesy of the NNLM NTO. I attended UC’s 4th annual Data Day and had the opportunity to learn about the University of Cincinnati Libraries’ data initiatives in the meantime. Amy Koshoffer, UC Science Informationist and a RDM 101 course mentor, graciously served as my host for the trip. Rebecca Morgan, librarian at the University of Louisville, also attended. It was nice to have a “buddy” who was there with similar aims.

Rebecca and I met with the Research and Data Services (RDS) team as well as liaisons and informationists at the UC Health Sciences Library. We also toured key library and campus spaces. All the while, we learned about how the RDS team does their work, such as taking a close look at their consultation form/log, and how their RDM program came about and has evolved. It was amazing hearing about these things from the people doing the work in the context in which it takes place (as opposed to reading about it in a formal publication or presentation.)

Data Day was a bit different than what I’d expected, but in a good way. Before studying the schedule, I had imagined it would be almost entirely hands-on skills development – the “how” of research data. And while the event featured a power session that introduced participants to the R programming language, most of the day’s sessions focused instead on the big picture of research data – the “why.” Drawing in over 100 attendees, Data Day serves as a community building venture for those interested in data and data issues at UC and within the region. This year’s theme was Diversity, Equity and Inclusion in Data. Keynote speakers included Amanda J. Wilson, Head of the NLM’s National Network Coordinating Office, who presented on the All of Us Research Program, and Debra Guadalupe Duran, Director of the National Institute on Minority Health and Health Disparities, who discussed big data’s impacts on health disparities.

I would ultimately like to host a similar, albeit smaller, event here at UNR. My co-workers and I are brainstorming ways we can support RDM and data science skills development on our campus. Amy and her colleagues emphasized educational activities as a starting point, e.g., tailored workshops based on the New England Collaborative Data Management Curriculum, and described how they came together to create a strategic plan and a set of goals for data at UC. Rebecca also noted how her library has established a similar sort of group. Since my return, we’ve made plans to establish a data working group within the UNR Libraries. We already have a LibGuide, a Canvas module available to all faculty and staff, and have led a few workshops on RDM. But we’ll use UC and others as a guide when developing our own goals in this area.

Not everything I encountered or heard about at UC is applicable or achievable at UNR – at least not immediately. But I feel a lot more confident that we’re on the right track with RDM and data science. Over time, some of the distinctive aspects of UC’s program will find their way into our work at UNR. Starting small and planning on a “slow burn” is perfectly okay! Moreover, visiting other campuses and their libraries is invigorating, as is meeting colleagues who are interested in the same topics and issues as you are. Apart from Rebecca, I also met librarians from Miami University (in Oxford, OH) and the University of Kentucky who attended Data Day. Now I have a handful of fellow librarians that I can easily reach out to when an interesting data-related idea springs to mind or when planning a data-related activity or event. Although I’m not adverse to cold calling other librarians who I’ve noted are doing interesting activities, it is great to have built a rapport with specific individuals within the NNLM and RDM communities! This was also one of the primary benefits of the RDM 101 course itself.

Categories: Data Science

New NLM Resource for Data Literacy and Management

GMR Data Science - Wed, 2019-04-10 08:58

The Health Services Research Information Central has added a new topic category covering data literacy and management.

The new topic page is intended to serve as an introduction to the topics of data science, data literacy, data management, data sharing, and research reproducibility. Though the emphasis is on health data, information from the broad data science community is included.

Visit the new topic page!

Categories: Data Science

April PNR Rendezvous: Learning Data Visualization

PNR Data Science - Wed, 2019-04-10 04:23

Data is everywhere and trying to make sense of it can be overwhelming and complex but also revealing. Data visualization helps to communicate more clearly the significance of the information. How to do that? Come and attend the April session of the PNR Rendezvous to learn some tips and tricks from staff from the University of Washington Health Sciences Library and the National Network of Libraries of Medicine’s National Evaluation Office.

Below are the details of when and how to join the webinar.

Date: Wednesday, April 17

Time: 1-2PM (Pacific) | 12-1PM (Alaska) | 2-3PM (Mountain) | 3-4PM (Central) | 4-5PM (Eastern) | 11AM-12PM (Hawaii)

Presentation: Tips and Tricks for Learning Data Visualization

Data visualization in the health sciences can help reveal insights and trends that might otherwise go unnoticed. A clear visualization can convey more information than an endless spreadsheet. However, learning new tools can be challenging, especially if it’s your first time tackling a subject. Data visualization tools, in particular, can have high learning curves and it is easy to get overwhelmed with all of the resources and tutorials available. This PNR Rendezvous session will discuss tips and tricks for learning data visualization. The tools we will be focusing on are Tableau and ArcGIS.

How to join the session: Registration is encouraged but not required. Complete information to log on is available on our PNR Rendezvous web page

We encourage you to join the live session but it will be recorded for viewing within a week.

Categories: Data Science

RDM in the Big Apple!

PNR Data Science - Mon, 2019-04-08 15:53

We are very excited and pleased to share this guest post by Kathryn Vela, the Washington State University’s (WSU) Elson S. Floyd College of Medicine’s (ESFCOM) Health Sciences Librarian.  Kathryn was selected through a competitive application for professional development funding from the National Training Office (NTO), to participate in a mentoring opportunity having completed the NNLM online training course RDM 101: Biomedical and Health Research Data Management Training for Librarians.  Welcome Kathryn!

As a health sciences librarian with an interest in data, I was extremely excited to be part of the first cohort of the online course “Research Data ManagementA picture of Kathryn Vela in NYC. for Biomedical and Health Science Librarians” in early 2018. It was a delightfully educational experience, and as an unexpected bonus, I was eligible to apply for funding from the NTO to continue my research data management (RDM) education. I submitted a proposal for and received funding to visit the NYU Health Sciences Library and learn from their data services team. I wasn’t the only one with this idea; three other librarians from my cohort were also interested in an NYU site visit, and so we coordinated to plan the trip together.

The site visit was a two-day event, with a third day spent at a symposium at Columbia University. Much of this time was spent discussing how the NYU HSL data services have developed over the last few years, including the Data Catalog Collaboration Project. We (i.e. the visiting librarians) also shared how we were engaging in data services at our own institutions. These conversations gave us the opportunity to learn from some data experts, ask questions, and share ideas.

We also had the chance to sit in on two different classes provided by the NYU librarians. One class was part of a larger research course and provided an overview of basic RDM practices, and the other was about creating data visualizations in Excel. Since I would like to provide more data-related instruction, this was incredibly beneficial and gave me a lot of ideas to incorporate into my own work.

The symposium at Columbia University was called “Promoting Credibility, Reproducibility and Integrity” and featured a number of enlightening panel discussions on topics like transparency in scientific journals and bias in research. I enjoyed the opportunity to attend thisA picture of the New York City skyline.symposium while I was in New York because it gave me some interesting insights into the inner workings of academic research.

Overall, it was a whirlwind trip, but I definitely came back with a brain bursting full of new knowledge and ideas to try at my institution. Since most of my RDM learning has taken place online, it was nice to have the opportunity to talk to other like-minded people face to face, and to see RDM expertise in action. The NYU data librarians were welcoming and informative, and I greatly appreciate their support for this site visit.

Categories: Data Science

Data Flash: The Impact of the NIH-NLM-NNLM in U.S. Communities

PNR Data Science - Mon, 2019-04-08 10:53

A picture of the physical building of the National Library of Medicine.

April 7th-13th, 2019 is National Library Week. The American Library Association’s (ALA) National Library Week theme is simple, but compelling: how libraries equate to building strong communities.

In honor of National Library Week, the NNLM PNR’s Dragonfly will go back in time and explore the origins of the National Library of Medicine (NLM) and the National Networks of Libraries of Medicine.

The NLM, located on the NIH campus in Bethesda, MD, was founded in the year 1836 as the Library of the Surgeon General’s Office, the medical literature repository of the U.S. Army Surgeon General. It is the world’s largest biomedical library and has been searched billion of times by millions of people around the world. NLM also founded and funds the National Network of Libraries of Medicine (NNLM).

The historical formation of the NNLM goes back to 1965 when it was called the Regional Medical Library (RML) Program and consisted of 11 regional medical libraries. The RML Program was the manifestation of the 1965 Medical Library Assistance Act, which authorized the NLM to provide grant funding to improve the condition and potential of American medical libraries; among the many grants that came from the Medical Library Assistance Act, a grant for the development of a national systems of regional medical libraries was given to the NLM.

It wasn’t until 1990, that the RML Program became what is known as the NNLM.  The current overarching mission of the NNLM is to “provide all U.S. health professional with equal access to biomedical information” and to “improve the public’s access to information to enable them to make informed decisions about their health”.

Last year in 2018, the NNLM and the Public Library Association (PLA) forged a new partnership that increased public library workers’ knowledge and skills related to consumer health services, called the “Promoting Healthy Communities Initiative”.  In 2017, the NNLM was honored to be selected as a community partner of the National Institutes of Health (NIH)’s All of Us Research Program which has a mission to accelerate health research and medical breakthroughs enabling individualized prevention, treatment and care. All of Us will partner with one million or more people across the United States to provide the most diverse biomedical data resource in history. All of Us will make this resource available to all researchers, helping them to gain better insights into the biological, environmental, and behavioral factors that—separately and combined—influence health.

PLA has now joined forces with NNLM to promote NIH’s All of Us Research Program. and work together with public libraries to increase “health literacy, address health research inequities, and strengthen community partnerships with health advocates and providers.”

The NNLM is proud of the PLA partnership, a strong reminder of how libraries build strong communities of health through such collaborations and outreach. Happy National Library Week everyone!!! Enjoy being a part of your community and effectively, your medical/health sciences/public library!

Categories: Data Science

Upcoming Webinar – Needs Assessments in Research Data Management: What Do We Know and Where are the Gaps?

GMR Data Science - Mon, 2019-04-01 16:56

The next NNLM Research Data Management Webinar Series presentation is set to take place on April 16, 1:00 – 2:00 CT!

Join us as we delve into needs assessments in research data management. Our presenter, Tina Griffin, Assistant Professor and the library liaison to the College of Pharmacy and also the basic science departments of the College of Medicine at the University of Illinois at Chicago, will summarize the current state of published literature, in aggregate, regarding research data services needs assessments. Participants will come away with an understanding of what is currently known of RDM needs and where the gaps in research are relative to institution type, disciplines supported, and demographics.

Register on NNLM’s Webpage.

Categories: Data Science

UC Data Day to be Live Streamed – April 1

GMR Data Science - Tue, 2019-03-26 09:15

The University of Cincinnati will be live streaming their Data Day event on April 1st. This year’s theme is Diversity, Equity, and Inclusion in Data.

The day will be comprised of panel discussions, an interactive session where participants will learn R programming skills, and keynote speakers to start and end the day.  The first keynote speaker, Amanda Wilson, will highlight the historic All of Us Research Program that is gathering data from one million individuals to assist in delivering precision medicine by taking into account individual differences in lifestyle, environment, and biology among participants. The second keynote speaker, Deborah Duran, will address how diversity and inclusion are necessary considerations as we consider our research and how doing so can have an impact on us all. Panelists will discuss health disparities and health equity research from local and statewide perspectives as well as how data is being used to empower social justice.

The full schedule is available on the Data Day website

The event will be live streamed from this YouTube page.

Categories: Data Science

NLM’s Radiation Medical Emergency Management (REMM) Resource Receives Major Update!

PSR Data Science - Wed, 2019-03-20 15:22

The National Library of Medicine’s Radiation Medical Emergency Management (REMM) has been updated. This resource provides guidance for health care providers, primarily physicians, about clinical diagnosis and treatment of radiation injury during radiological and nuclear emergencies.

New on the Mobile REMM app:

  • A new version of the Mobile REMM app, which contains selected pages from online REMM, was released in the App Store and Google Play Store. This new version reflects the content updates published on REMM online.
Categories: Data Science

Data Flash: Healthy Paradigm Shifts – Hacking Behavioral Health’s Future

PNR Data Science - Fri, 2019-03-15 16:06

Computer code and an open book

What is a healthcare hackathon? Generally speaking, a healthcare hackathon is a social event that focuses on building small and innovative technology projects that aim to resolve healthcare challenges. “Hackathon” is a portmanteau of the words “hack” and “marathon,” which in turn translates into some kind of race against the clock to solve challenges.

MIT Hacking Medicine founded in 2011, is made up of MIT students and community members with the goal of innovating the healthcare community and driving new medical innovations. The MIT group meet this goal by carrying out innovative events like healthcare hackathons; amazingly, they host more than 80 healthcare hackathons a year. MIT Hacking Medicine even has a free handbook that serves as a resource for anyone interested in hosting similar kinds of healthcare hackathons in their respective communities.

Here in the Pacific Northwest Region, Washington State University’s (WSU) Elson S. Floyd College of Medicine (ESFCOM) Hackathon is very much inspired by the MIT Hacking Medicine model of healthcare hackathons, with a few interesting modifications. Their first hackathon in 2018 tackled the theme of addressing rural health challenges in Washington State, with prizes awarded to the top three hackathon teams at the event. Building off that success, WSU will be hosting another healthcare hackathon from April 12th – 14th, with the overarching theme of innovating solutions that will tackle behavioral health challenges, a pressing issue in Washington State today.

WSU welcomes patients, students, faculty, developers, caregivers, and more to attend their second healthcare hackathon. What makes the WSU ESFCOM healthcare hackathon unique from other healthcare hackathons is the research and reference presence of academic librarians who provide research services to the hackathon participants throughout the event.

Applications to participate in the ESFCOM Hackathon are due by April 5th, 2019. For more information about this exciting Washington State event, please contact WSU’s College Technology Incubator Officer Andrew Richards.

Categories: Data Science

UMN Hosts Successful Data Workshop for Researchers

GMR Data Science - Thu, 2019-03-14 15:50

Librarians from the University of Minnesota’s Health Sciences Library in the Twin Cities made the 160 mile trek to the University’s coordinate campus in Duluth to conduct a special half-day workshop for researchers on data management. The workshop was part of a Research Data award that was funded through the GMR. Julie Davis, workshop participant and Project Coordinator for the Research for Indigenous Community Health Center in the College of Pharmacy stated, “My most valuable takeaways were learning more about best practices and concrete strategies related to file naming, file organization, project documentation, and data preservation.”

To read more about the workshop, please visit the the University of Minnesota’s News Website.

Categories: Data Science

Celebrate Data in February: Love Data Week and Endangered Data Week

SEA Data Science - Thu, 2019-02-07 15:01

Two upcoming data weeks, Love Data Week and Endangered Data Week, provide opportunities to share stories, learn new skills, and consider how data shapes our everyday life. No matter your role – researcher, librarian, data professional, scholar, or community member – everyone is invited to contribute and participate!

Love Data Week: February 11 – February 15, 2019  

Similar to Open Access Week, the purpose of the Love Data Week event is to raise awareness and build a community to engage on topics related to research data management, sharing, preservation, reuse, and library-based research data services. We will share practical tips, resources, and stories to help researchers at any stage in their career use good data practices.

This year’s theme focuses on data in everyday life. As data creation, gathering, and use continues to expand, its impact transforms how we move through and experience the world. This theme is being explored through two topics that offer a rich opportunity to engage many audiences:

  • Open data – What is open data? And how does it play out in our everyday life?  The answer depends on who is asking – open data for government, citizens, researchers, and businesses can mean very different things.
  • Data justice – Social justice and big data are current buzzwords, but how do these two areas intersect? Can data be used to effect social change and fight inequality, and if so, how?

Endangered Data Week: February 25 – March 1, 2019

Endangered Data Week is a collaborative effort coordinated across campuses, nonprofits, libraries, citizen science initiatives, and cultural heritage institutions, to shed light on public datasets that are in danger of being deleted, repressed, mishandled, or lost. The week’s events can promote care for endangered collections by: publicizing the availability of datasets; increasing critical engagement with them, including through visualization and analysis; and by encouraging political activism for open data policies and the fostering of data skills through workshops on curation, documentation and discovery, improved access, and preservation.

To support Endangered Data Week, consider hosting one of the following events or activities:

  • Subject-specific workshops or presentations using endangered datasets
  • Lectures or roundtables on issues of transparency, policy, or critical data literacy
  • Workshop/hackathon on organizing, reformatting, or visualizing endangered data
  • DataRescue events
  • Letter writing/advocacy campaigns
  • Data curation workshops or training
  • Data Expeditions
  • Workshops on ways to use archived websites for research
  • Web scraping/web archiving workshops
  • Data storytelling events, using tools like these, from DataRefuge

Are you planning to celebrate Love Data Week or Endangered Data Week? What activities or events do have planned at your institution? If you would like to share how your organization participated in these data weeks, please contact Liz Waltman or get in touch on social media @NNLMSEA.

Categories: Data Science

Registration Open for 4th Annual Data Day Event

GMR Data Science - Tue, 2019-02-05 10:07

You are cordially invited to the University of Cincinnati’s 4th Annual Data Day sponsored by The University of Cincinnati Libraries and IT@UC.

Diversity, Equity and Inclusion are topics gaining national attention.  Our 4th Annual University of Cincinnati Data Day will explore these topics in depth and highlight how researchers can expand their understanding by considering the impact of diversity, equity and inclusion on their own research.

What: University of Cincinnati 4th Annual Data Day

When: Monday, April 1, 2019 9am – 4:30pm

Where: Tangeman University Center, Great Hall (located on the main campus of the University of Cincinnati)

Cost: Free

The day will be comprised of panel discussions, an interactive session where participants will learn R programming skills, and keynote speakers to start and end the day.  The first keynote speaker, Amanda Wilson, will highlight the historic All of Us Research Program that is gathering data from one million individuals to assist in delivering precision medicine by taking into account individual differences in lifestyle, environment, and biology among participants. The second keynote speaker, Deborah Duran, will address how diversity and inclusion are necessary considerations as we consider our research and how doing so can have an impact on us all. Panelists will discuss health disparities and health equity research from local and statewide perspectives as well as how data is being used to empower social justice.

You do not want to miss this exciting day!

For more information and registration visit:

Categories: Data Science