Guest post by Kristine M. Alpi, MLS, MPH, PhD, AHIP, OHSU Library, Oregon Health & Science University; Tova Johnson, MPH, MA, MLIS, OHSU Library, Oregon Health & Science University; and Heather K. Moberly, MSLS, AHIP, FHEA, PgCert (Vet Ed), University Libraries, Texas A&M University
Physical isolation arising from the COVID-19 pandemic has led many people to increasingly engage with the outdoor environment or bring companion animals into their lives as supports for their physical and mental wellbeing.
This connection among the health of humans, animals, and the environment exemplifies the One Health approach.
One Health is not new, but it has gained new life amid rising concerns over COVID-19 and the environment in recent years. This model encourages collaboration across disciplines, with experts in human, animal, and environmental health, along with other specialties, to achieve better public health outcomes. While leaders often come from veterinary medicine or public health, anyone committed to keeping the world healthy is a potential partner in One Health.
Providing high-quality, timely information to the people and professionals who need it most is critical to protecting the health of people, animals, and the environment. The FDA uses the term animal health literacy to provide the public with information about drug and food safety concerns that can have an impact on animals and humans. The joint NLM/FDA resource, DailyMed, includes drug listings approved for either humans or animals.
NLM’s MedlinePlus online health information resource provides robust information on animal-human interactions, but typically with a focus on those that threaten human health such as animal bites or zoonoses (diseases that can be passed between humans and animals). To get information from animal health experts, we can look to information providers such as veterinary educators to provide insights offering the interconnected One Health perspective.
Just as MedlinePlus relies, in part, on health professional societies to provide information on specialized care, veterinary medicine trains specialists in topics ranging from behavior to surgery, and provides information to support decision-making about large and small companion animal healthcare. Animal health information in multiple languages is not centrally coordinated, but the American College of Veterinary Surgeons is one example that offers information in Spanish as well as English.
Beyond personal experiences caring for animals at home or at work, One Health is a critical framework for providing timely, open, high-quality information during times of wildfires and natural disasters that can affect all species. Responding to natural disasters brings together teams who work primarily with humans and teams who typically work with animals. Many veterinary schools provide emergency preparedness education in addition to deploying veterinary emergency teams to respond to emergency situations that may be all species-focused or primarily a human health oriented mission. Central knowledge resources like the American Red Cross also provide apps and information to support people and pets during times of crisis.
Libraries who participate in the NLM-supported Network of the National Library of Medicine are essential resources for people seeking information online from trusted sources. Health sciences librarians, particularly the members of the Medical Library Association’s Animal and Veterinary Information Specialist Caucus, support the health of all species by addressing questions raised by people who live, work, and share the broader environment with companion animals and wildlife. These questions may come to public, community college, and university libraries who rely on free and direct access to high-quality resources written for a variety of audiences.
We recently presented Health Questions for All Species as a free webinar for the Oregon Reference Summit to highlight how to use NLM and other open access, evidence-based resources to address One Health questions. We acknowledged the value of regionally and culturally specific resources for populations who are particularly challenged by certain conditions or environmental exposures, and discussed similarities and differences in human and animal information sources, terminology and readability.
We hope this information expanded your awareness about how NLM and other information resources can promote One Health through an integrated approach to searching and addressing issues that impact humans, animals and our environment.
The One Health Commission is a great place for educational resources for teachers and learners who want to take another step towards Health for All.
Did you learn something new today? What can you do to contribute to One Health?
Kristine M. Alpi, MLS, MPH, PhD, AHIP, OHSU Library, Oregon Health & Science University and Adjunct Assistant Professor, Department of Population Health & Pathobiology, North Carolina State University.
Heather K. Moberly, MSLS, AHIP, FHEA, PgCert (Vet Ed), Medical Sciences Library and department of Veterinary Integrative Biosciences, College of Veterinary Medicine and Biomedical Sciences, Texas A&M University. Heather is a 2020 recipient of the Friends of the National Library of Medicine’s Michael E. DeBakey Library Services Outreach Award
One way we do this is through our Network of the National Library of Medicine (NNLM), which leverages more than 8,000 academic health science libraries, hospital and public libraries, and community organizations across the United States to promote health literacy and ensure that NLM resources are accessible to the public. NNLM develops and offers programs that affect communities in meaningful ways.
One of NNLM’s recent success stories is Project TORDS (Technology Outreach to Reduce Health Disparities and Stigma). Tony Nguyen, MLIS, AHIP, executive director of the NNLM Southeastern Atlantic Region, recently described the program, saying “Project TORDS is designed to increase access to technology in rural and underserved communities in southern West Virginia by providing training on the use of technology while showing participants how to access, evaluate and use online health information, such as NLM’s MedlinePlus.”
According to Darryl Cannady, the executive director of South Central Educational Development, Inc., a local, community-based organization participating in Project TORDS, “Living in rural, poverty stricken Southern West Virginia, where residents live with many health disparities and social determinants of health, we have to create innovative ways to reach the most disenfranchised communities and provide the needed access to health education and access to quality health care. Project TORDS helps bridge gaps and connect the dots to health education and resources, while simultaneously reducing stigma through education.”
Watch all about it: Project TORDS
Other NNLM health literacy outreach programs include the Wash and Learn and Promotores de Salud programs.
The Wash and Learn program transforms local laundromats into informal learning spaces where people can access early-learning literacy materials as they wait for their clothes to wash and dry.
NLM’s outreach to Promotores de Salud, the Spanish term for “community health workers,” reaches vulnerable and underserved members of the Latino/Hispanic community with health information and resources. These outreach efforts include sessions that promote awareness of culturally appropriate health information from NLM.
Watch all about it: Wash and Learn
Watch all about it: Promotores de Salud
Join us in celebrating Health Literacy Month this October – what does health literacy month mean to you?
M. Nichelle Midón works with NLM’s National Network of Libraries of Medicine (NNLM) to provide researchers, health professionals, public health workforce, educators, and the public with equal access to biomedical and health information resources. She holds a Bachelor of Science in public health from the University of North Carolina at Chapel Hill, a Master of Science in library and information science from the Catholic University of America, and a Master of Science in instructional technology from Towson University.
Since its launch, this program has matched fellows and mentors in a one-year leadership development program that has been a tremendous success. Inspired by the visionary leadership of former NLM Deputy Director Betsy Humphreys, NLM sought to answer the challenge of how to best prepare professionals to lead academic health science libraries of the future. NLM builds on this tradition of support by offering the Associate Fellowship Program, which is an early career training program for medical librarians.
To continue this tradition and respond to the needs of experts in the academic health science programs, NLM leadership established a program to attract and develop future leaders. The NLM/AAHSL Leadership Fellows Program provides a combination of in-person and virtual learning experiences for selected fellows and offers the opportunity to develop knowledge and skills in a variety of learning settings.
Fellows are paired with mentors who are directors of academic health sciences libraries. Mentors, who work closely with their fellows throughout the year and host a visit to their library, are the backbone of the program. Their participation makes it possible for fellows to be exposed to additional leadership styles and areas of expertise. Mentors continuously share that they too benefit from the program and appreciate the opportunity to reflect and learn from the cohort. Since the program began in 2002, 49 percent of fellow graduates have assumed director positions.
Last week, I was delighted to celebrate (virtually) the culmination of this year’s program:
Emily Jill Glenn, MSLS Associate Director, Education & Research Services, McGoogan Library of Medicine University of Nebraska Medical Center, Omaha, NE
Mentor: Anne K. Seymour, MSIS, Director Welch Medical Library Johns Hopkins University & Medicine, Baltimore, MD
Erika L. Sevetson, MS Director of Academic Engagement for Health, Biomedical and Physical Sciences Brown University Library, Providence, RI
Mentor: Debra Rand, MS, AHIP Associate Dean for Library Services Donald and Barbara Zucker School of Medicine at Hofstra/Northwell and Corporate Director of Libraries for Northwell Health, Hempstead, NY
Gail M. Kouame, MLIS Assistant Director for Research & Education Services, Robert B. Greenblatt, MD Library Augusta University, Augusta, GA
Mentor: Rick L. Fought, EdD, MLIS, AHIP Associate Professor and Director, Health Sciences Library University of Tennessee Health Science Center, Memphis, TN
Marisa L. Conte, MLIS, AHIP Assistant Director, Research and Informatics, Taubman Health Sciences Library University of Michigan, Ann Arbor, MI
Mentor: Kelly R. Gonzalez, MSIS, MBA Assistant Vice President for Library Services, Health Sciences Digital Library and Learning Center UT Southwestern Medical Center, Dallas, TX
Emily J. Hurst, MSLS, AHIP Deputy Director and Head of Research and Education, VCU Libraries, Tompkins-McCaw Library for the Health Sciences Virginia Commonwealth University, Richmond, VA
Mentor: Rose L. Bland, MA, MPA, AHIP Director, Shimberg Health Sciences Library University of South Florida, Tampa, FL
NLM’s commitment to this program has been steadfast, and the program’s continued success would not have been possible without the work that takes place in the field.
NLM/AAHSL Leadership Fellows are selected through a national competition, based on career directions and focused needs in their areas. As is typical in many mid-career mentoring programs, fellows do not need to interrupt their current career commitments to participate in the NLM/AAHSL Fellows Program.
Fellows spend twelve months with an expert mentor who is selected, in part, because of the match between what the fellow needs and what the mentor can provide. During most years, except for this year due to COVID-19, fellows typically engage in in-person exchanges, an intensive leadership institute, distance learning, and hands-on site visits. Fellows and mentors gather in Bethesda, MD for a capstone experience that includes a one-day visit to the National Library of Medicine. In addition to taking a deep dive into the functions of NLM, the fellows and their mentors can spend more time together face-to-face.
NLM recognizes that the health information needs of biomedical researchers and the general public rely heavily on the availability of professional health science libraries and the skills of well-trained medical librarians. As the world copes with the COVID-19 pandemic and the changing face of health science libraries, I remind all health science librarians of the NLM’s commitment to work together with you to elevate the resources provided by health sciences libraries to the world.
We embrace a commitment to remain relevant to the evolving health information needs of our stakeholders, which requires a great deal of resilience and a willingness to reinvent the way we do our work.
What should academic health science libraries of the future look like, and what kind of leaders will they need?
Due to the immediate and long-term impact of COVID-19, the NLM/AAHS Leadership Fellows Program will be on a hiatus for one year. There will not be a 2020/2021 class. AAHSL plans to open applications for the 2021/2022 class in spring 2021. The program will complete its events for the current 2019/2020 class. Please visit the AAHSL website for future opportunities.
Guest post by Clem McDonald, MD, Chief Health Data Standards Officer at the National Library of Medicine
COVID-19 testing equips individuals with the information they need to protect themselves and others, and arms public health professionals with data that can inform response efforts.
Recently, leadership across NIH articulated why widespread testing is necessary, important, and achievable. Equally important is understanding the different types of testing available. As a leader and pioneer in the development of clinical data standards, NLM supports the electronic exchange of clinical health information data, including those related to COVID-19 testing, for approved purposes and with appropriate privacy protections.
Three types of testing are available to identify COVID-19 (the disease caused by the SARS-CoV-2 virus).
1) Nucleic acid amplification tests (NAAT), also called molecular tests, detect the virus’s genetic material;
2) Antigen tests detect parts of specific proteins produced by the virus; and
3) Antibody tests detect COVID-19 antibodies in the blood (serum) that infected people develop to fight off the virus.
NAAT tests are dependent upon a method used to multiply the relatively few copies of viral nucleic acid that might be present in a specimen into a very large number of copies — making it much easier detect the virus. At present, most NAAT tests use an amplification method called polymerase chain reaction (PCR).
PCR uses small segments of DNA, called primers, to pick out the DNA that it needs to multiply. The PCR instruments process the sample in repeated cycles of heating and cooling. During each cycle, the number of copies of the targeted nucleic acid doubles. From a few original copies, it can generate up to a billion new copies to make the virus easier to see in the final detection step.
The FDA recently authorized a different NAAT test method called loop-mediated isothermal amplification (LAMP). This test method warms the sample to a constant temperature and uses six different primers to drive the replication of different segments of the novel coronavirus’s genome. It does not require multiple cycles of heating and cooling. By many accounts, this method is faster and easier to use than real-time PCR. Other methods of COVID-19 detection are under development.
Different SARS-CoV-2 NAAT testing products target different parts of the virus, use different primers to start the PCR reaction, apply to different specimens, and differ in the ability to detect the virus.
The primary methods for collecting a sample are through nasal, throat, and saliva (spit). Nasopharyngeal (NP) samples are believed to be the most sensitive for detecting the virus, but pushing the swab through the nostril into the nasopharynx at the base of the skull can be uncomfortable. The collection of other samples from nasal swabs and saliva can be easier on the person being tested and are becoming increasingly accessible.
The spread of SARS-CoV-2 is particularly challenging to manage because people can be contagious and spread the infection to others, even before they begin to show symptoms. NAAT tests can sometimes detect the virus in early stages before symptoms appear, but not always, and do not necessarily turn positive immediately with the onset of symptoms.
One strategy with NAAT tests involves the use of pooled samples. Pooled sampling involves mixing several samples together in a batch, or pooled sample, then analyzing the pooled sample with a diagnostic test. If the test on the pooled specimen is negative, then all the individuals who contributed to the pool are considered negative for COVID-19. If the pooled sample is positive, the lab must run separate tests on each of the samples to determine who is positive and who is negative. When the prevalence of COVID-19 in a population is low (in the 1-2% range), the total number of tests needed is reduced, and an organization’s testing capacity increases.
Antigen tests for COVID-19 detect the presence of a protein that is part of the SARS-CoV-2 virus. Today, the NP and mid-nasal samples are the primary sampling methods used for antigen testing, but the development of antigen tests for saliva are underway.
Antigen tests are relatively inexpensive and provide results almost immediately. These tests perform best in the early days after an infection begins. While they are not as sensitive as NAAT tests, some have suggested that repeated testing with a fast, although less sensitive test, may do more to help end the epidemic more quickly than perfect tests done infrequently.
Antibody SARS-CoV-2 tests detect the antibodies, or the “virus fighting proteins”, that a person’s immune system produces to fight infection. Antibody testing is generally done on the serum component of a blood sample. Antibodies may appear just a week or so after symptoms of SARS-CoV-2 infection appear. Antibody tests are not used to diagnose an active COVID-19 infection; however, they are useful for detecting whether someone has had a past infection.
Two different kinds of antibodies can be measured: IgM (immunoglobulin M) and IgG (immunoglobulin G). IgM antibodies appear early after infection (usually after the first week or so). Somewhat later, IgG antibodies, a more durable antibody, is produced. Today, there is no clear advantage of IGM or IgG antibody testing and not everyone will develop antibodies after a known COVID-19 infection. Importantly, scientists do not know how well or for how long antibody levels might protect someone against a future infection.
All three types of tests can be evaluated locally with a point-of-care (POC) machine or sent to laboratory for processing (in-lab testing). POC tests are carried out in close proximity to a patient and typically take 5-15 minutes, but only one or a handful of samples can be processed at a time. Not all POC machines have the capability to communicate electronically to public health and other reporting systems. In-lab testing machines can process hundreds of samples at time and, with the right safeguards, can deliver results electronically to patients, providers and public health reporting systems. However, in-lab testing has built-in delays due to its batch testing nature and the time it can take to deliver samples to laboratories.
There are many opportunities for innovation in testing methods to improve upon the efficiency, specificity, and scalability of currently available tests. Having a good set of well performing tests for SARS-CoV-2 is very important, but we also need to be able to deliver the results of such tests accurately and quickly (electronically) to the responsible care providers and to public health authorities.
To facilitate electronic delivery of such content, NLM has long supported the development of formal health care terminologies including LOINC (Logical Observation Identifiers Names and Codes), RxNorm, along with SNOMED CT, and more recently, communication structures such as HL7 FHIR(R). These capabilities are especially important during this time of COVID-19. In the last six months, the FDA has authorized more than 80 SARS-CoV-2 test products for emergency use, the CDC has defined a COVID-19 Case Report Form, and the Centers for Medicare & Medicaid Services has specified content that should accompany every SARS-CoV-2 test. NLM-supported LOINC codes have been defined for all of this content, as well as SNOMED CT codes for coded test values. The FDA, CDC, and industry have produced a compendium of the all SARS-CoV-2 tests and their standard codes. The use of standardized test codes for test results is essential to smooth delivery of test results into electronic health records and for the aggregation of test results for research and public health purposes.
Testing for COVID-19 is important, safe, and easy. Getting tested early and often and following best practices, such as wearing a mask, washing hands often, and limiting social contact will help get us back to normal.
Did you learn something new about testing methods? How else can NLM help support testing activities?
Clem McDonald, MD, is the Chief Health Data Standards Officer at NLM. In this role, he coordinates standards efforts across NLM and NIH, including the FHIR interoperability standard and vocabularies specific to clinical care (LOINC, SNOMED CT, and RxNorm). Dr. McDonald developed one of the nation’s first electronic medical record systems and the first community-wide clinical data repository, the Indiana Network for Patient Care. Dr. McDonald previously served 12 years as Director of the Lister Hill National Center for Biomedical Communications and as scientific director of its intramural research program.
Guest post by Susan Gregurick, PhD, associate director for data science and director of the Office of Data Science Strategy, National Institutes of Health.
There is an African proverb that says, “If you want to go fast, go alone. If you want to go far, go together.”
As I approach my first anniversary as the associate director for data science at NIH, this statement could not ring truer for me. By going together, NIH has made astonishing progress during this past year to enable more advanced data science, impressive data and computational infrastructure advances, and better FAIR data sharing.
Togetherness means collaboration that harnesses the power and strength of a diverse team. At NIH, women are using their expertise in data science and their teamwork skills to rapidly enable transformative programs.
“This is such an exciting time for innovation at the intersection of biomedical, medical, and technology domains. It’s dynamic and fast moving. Whether you have scientific skills, business expertise or know technology, there’s a role — an important role — for you in this space, especially here at NIH.”
I spoke with 11 women who are significantly impacting data science activities at NIH about how they enable data science; their advice for young, aspiring women data scientists; and the data science accomplishments that make them proud.
Collaboration and the role that NIH has played in responding to the COVID-19 pandemic were common themes in our discussions. These women also spoke about the importance of having a mentor, the four antidotes to challenging times, and the necessity of diverse perspectives.
I lead central fellowship programs to bring talented computer and data scientists to NIH. Our external outreach efforts encourage women and other minorities to apply for the programs we support. And, internally, we support engagement across NIH to place students in diverse positions.
Breaking down silos to advance data science.
Talented and driven staff across NIH have mobilized to lead implementation tactics under the strategic plan for data science, and we’ve built a forum for discussion in monthly town hall meetings. Most importantly, teams across NIH are working together and communicating widely to break down silos to continue advancing data science.
Teresa Zayas Cabán, PhD, Coordinator, Fast Healthcare Interoperability Resources (FHIR) Acceleration, National Library of Medicine (NLM)
I’m leading efforts to enable the use of standardized clinical and research data sharing to advance discovery. We’re not only working collaboratively within NIH to advance data science, but also across departments, government offices, and the field itself. Together, we are leading the field in a new direction with the use in research, as appropriate, of the same standards used in health care.
Be confident in what you know.
Don’t sell yourself short — speak up about what you know. Find good mentors who can advise you and be in your corner throughout your career. Find a good cohort of colleagues to collaborate and commiserate with.
We all have varying perspectives and visions for data science. Nonetheless, we have become nuclei of the NIH data science community. Through our collaborations, we are emissaries for data science to extramural grantee communities. I see this as a concentric circle of expanding national and even global communities of data science.
Technical and sociocultural accomplishments in data science.
A sociocultural accomplishment is that many silos have been dismantled, and the willingness and readiness to collaborate are demonstrably strong. On the technical front, there are successful examples of progress toward an NIH data ecosystem, both at the foundational level and at the leading edge.
Lisa Federer, PhD, Data Science and Open Science Librarian, Office of Strategic Initiatives, NLM
Leads the NIH Data Science Training Committee
Be a lifelong learner.
Embrace lifelong learning — there’s always something new to learn! I’ve made it a priority to learn new things that I can bring to my work, including going back to school to get a PhD in information science with a focus on data science.
Open science practices advancing our understanding of COVID-19.
NIH has been doing impressive work in advancing our understanding of COVID-19 and has been a leader in making data related to SARS-CoV-2 widely available so that researchers around the world can help tackle this important issue. In the face of this global problem, open science practices will help us make progress toward therapies and vaccines more quickly.
Jennie Larkin, PhD, Deputy Director, Division of Neuroscience, National Institute on Aging
Engage and embed data science in different programs.
Ask questions, learn, and engage. We need more bright people who can bring new perspectives, expertise, and energy to data science and help embed data science in different research programs.
Working with the community to address the COVID-19 pandemic.
The increasing breadth and depth of data science expertise across NIH and the larger biomedical enterprise has allowed us to rapidly accomplish much more than was possible just a few years ago. We have seen the best of our community, in the willingness to come together to meet the challenge of the COVID-19 pandemic.
Rebecca Rosen, PhD, Program Lead, NIMH Data Archive and Senior Advisor, Office of Technology Development and Coordination, National Institute of Mental Health
Learn from traditional and nontraditional resources.
I encourage young women in all biomedical science fields to incorporate data science into their career development plans. Look for data science educational resources from both traditional and nontraditional sources and network within those sources.
Collaboration to realize a data ecosystem.
The NIH data ecosystem has an increasingly tangible presence. We have growing numbers of researchers analyzing data across NIH cloud-based platforms, thanks in part to the new Office of Data Science Strategy, the NIH STRIDES Initiative, and a greater level of collaboration across NIH Institutes and Centers.
Heidi Sofia, PhD, Program Director, National Human Genome Research Institute (NHGRI)
Co-leads the Biomedical Information Science and Technology Initiative consortium and organized supplements to enhance software tools for open science (NOT-OD-20-073)
Beauty, awe, love, and humor.
I am never happier than when some brilliant young or established scientist in the community brings forward innovative, transformative science which I can endeavor to foster. In these instances, I find the first two of the four antidotes to our challenging times (beauty, awe, love, and humor). And my colleagues often provide the last one.
Use your power for good.
Among the first “computers” were women who performed the mathematical calculations needed to advance science, starting in 1757 in the search for Halley’s comet. Today, data science is a superpower for women in fields ranging from medicine to the natural sciences to business. So empower yourself, and use your power for good!
Maryam Zaringhalam, PhD, Data Science and Open Science Officer, Office of Strategic Initiatives, NLM
The lived experiences and perspectives of women — particularly women who are Black, Indigenous and People of Color (BIPOC); members of the LGBTQIA+ community; or members of the disability community — are critically important in ensuring that the products of data science have the greatest benefit for us all. Every chance I get, I tell women that they not only belong in data science, but that data science is better because of them.
Enabling researchers to make COVID-19 data available.
I was proud to be involved in quickly planning and organizing a joint NLM-ODSS webinar on sharing, discovering, and citing COVID-19 data and code using generalist repositories. It’s been inspiring to see the research community so eager to share the data and tools they’ve been generating, so this workshop felt like a timely and impactful contribution in support of researchers.
Valentina Di Francesco, MS, Lead Program Director, Computational Genomics and Data Science Program, NHGRI
Among the variety of projects I am involved in, I am particularly enthusiastic about the NIH Cloud Platform Interoperability Effort, which aims to establish and implement guidelines and technical standards to empower end-user analyses across participating cloud-based platforms established across NIH in order to facilitate the realization of a trans-NIH federated data ecosystem.
Data science is a science at NIH.
After many years at NIH, only recently have I noticed a solid appreciation of the essential contributions of the statistical, mathematical, and computer science approaches to better understand biological systems. Finally, data science is respected as a field at NIH! I can’t think of a better time to join the ranks of women data scientists in biomedical research.
Kim Pruitt, PhD, Chief, Information Engineering Branch, National Center for Biotechnology Information, NLM
Persevere, find a mentor, understand expectations, persevere.
My advice to someone entering this field is to persevere, to find an excellent mentor, to go into collaborations with a clear understanding of each member’s role and publication expectations, and to continually look for lessons learned when an analysis strategy fails (that is, cycle back to persevere).
Providing data access in the cloud
Providing access to data on the NIH STRIDES Initiative cloud-based platform is a prerequisite to supporting and growing the biomedical data science field. Most notable to me is the significant achievement of providing the complete Sequence Read Archive data (roughly 40 PB and growing) in two formats and ahead of the planned schedule.
Jennifer Couch, PhD, Chief, Structural Biology and Molecular Applications Branch, National Cancer Institute
NIH Citizen Science Coordinator
Bringing new approaches to biomedical research.
My focus is on bringing new, diverse, and often outsider perspectives, tools, approaches, and methods into the biomedical research space. Together with many talented colleagues and collaborators, I look for ways to bring new approaches to biomedical research. Sometimes that involves creating opportunities for different research communities to come together and find ways to collaborate.
On finding the right collaborators.
Hone your skills, don’t be afraid to try out new methods, and find collaborators with interesting questions who will know the answer when they see it. Find those collaborators who appreciate that your skills and insights are critical to your joint project’s success.
Dr. Gregurick leads the implementation of the NIH Strategic Plan for Data Science through scientific, technical, and operational collaborations with the Institutes, Centers, and offices that make up NIH. She has substantial expertise in computational biology, high-performance computing, and bioinformatics.