data librarians

DCCP at MLA '19: Check out our Slides, Notes, Posters and More!

It was an eventful week in Chicago for MLA ‘19!

While we wish everyone was able to make it to the conference, we know that isn’t always possible, so we have uploaded all of the slides, posters, and notes related to the DCCP and our work. Below, we have listed a description of each presentation, the slides or poster, and a person to contact if you have any questions.

The DCCP Information Session

Kevin Read presenting at the DCCP Information Session at MLA ‘19

Kevin Read presenting at the DCCP Information Session at MLA ‘19

  • Provided information about what it means to join the DCCP, implementing the Data Catalog, and how different institutions are using the catalog for their specific needs

  • Link to slides

  • Link to notes

  • Contact: Kevin Read, DCCP Project Lead: kevin.read@med.nyu.edu

Paper presentation: From Conception to Action: Elevating Library Projects through Collaboration between Librarians and Developers

  • Demonstrates how developers and librarians have worked together on the Data Catalog, as well as other library projects and provides tips on how to improve developer and librarian collaborations

  • Link to the slides

  • Contact: Ian Lamb, Solutions Developer, ian.lamb@nyulangone.org

Paper presentation: Developing Workflows to Facilitate the Sharing of Electronic Health Record Data

  • Discusses how NYU created a process to include Electronic Health Record (EHR) data in the NYU Data Catalog. Outlines the workflow and provides example records for EHR data in the NYU Data Catalog

  • Link to the slides

  • Contact: Nicole Contaxis, NYU Data Catalog Coordinator: nicole.contaxis@nyulangone.org

Paper presentation: Creating Institution Specific Resources on Data Transfer and Data Sharing

  • Illustrates how NYU supplements their work on the NYU Data Catalog with ongoing projects to help researchers transfer and share their data while still being in compliance with national regulation, funder and publisher requirements, and institutional policy

  • Link to the slides

  • Contact: Nicole Contaxis, NYU Data Catalog Coordinator: nicole.contaxis@nyulangone.org

Poster: A Multisite Collaboration to Improve Data Curation and Discovery in Academic Health Sciences Centers

dccp_general_poster.jpg

  • Provided information on what the Data Catalog Collaboration is, what our goals are, and ways that the Data Catalog is used at participating institutions

  • Contact: Kevin Read, DCCP Project Lead: Kevin.Read@med.nyu.edu

  • Link to the poster

Poster: Outreach Strategies and Researchers’ Motivations for Sharing Data through a Data Catalog

dccp_outreach_poster.jpg
  • Demonstrated why researchers share data through the Data Catalog as well as the outreach strategies employed at different institutions in the DCCP

  • Link to the poster

  • Contact: Melissa A. Ratajeski, Pitt Data Catalog Lead and Coordinator of Data Services at the University of Pittsburgh Health Sciences Library System, mar@pitt.edu

Poster: Using the PubMed Central Data Availability Search Filter and an Institutional Data Catalog to Make Data more Discoverable

PMC_MLA19_Poster.jpg
  • Illustrates how NYU is using the PubMed Central (PMC) Data Availability Search filter to add new datasets to the NYU Data Catalog. Includes the workflow and an example record

  • Link to the poster

  • Contact: Nicole Contaxis, NYU Data Catalog Coordinator, nicole.contaxis@nyulangone.org

Finding Data To Index: When the Data Availability Statement Leads Nowhere

This blog post is final part of a series on using the “has data avail” filter on PubMed Central (PMC) to identify a wide range of institutional datasets and what we at NYU learned about our institution’s data sharing practices from this exercise. To learn more about the background of this project and how we pulled the bibliographic data used, please refer to our first post. This blogpost is the last in the series and will discuss additional findings related to the bibliometric data we pulled from PMC.

Unsavory Researcher Behavior

When investigating Data Availability Statements (DAS), we learned about how researchers use repositories, use data that is available through application to a consortium, and make their data available in Supporting Information Files. Yet, we also found several examples of unsavory researcher behavior. Several authors listed the data as available in non-existent repositories. For example, on researcher stated that his data was available at an institutional data access point that does not exist. Other researchers listed the data as available on their lab websites, yet when librarians examined the lab website, there wasn’t any data available.

Uninformed Researcher Behavior

Additionally, other Data Availability Statements (DAS) seemed to demonstrate a lack of understanding on what constitutes “data” and what should be included in a statement. One statement reads, “No datasets were generated or analyzed during the current study,” even though the researchers took samples and analyzed them in the publication. Other DAS’s did not list enough information for a researcher to track down the data described. For example, one stated, “NLM has access to all the data and data are available upon request.” With so little information, it seems unlikely that the data could be located and re-used in a meaningful way.

What Librarians Can Do

While it may be easy to assume that all of these researchers are bad actors, it is also possible that the researchers require more guidance in order to write helpful and meaningful DAS’s. As librarians, we can advocate for better DAS’s by providing information on what the DAS is meant to accomplish - guide other researchers to the data for re-use or replications. While it could be helpful for librarians to develop templates, data varies immensely across disciplines and projects. Providing the logic of the DAS will allow researchers to extrapolate about what information is necessary within the boundaries of their project and their domain.

Harlem Health Advocacy Partners and a Case Study in Data Re-Use

In the fall of this year, a Research and Data Librarian at the NYU Health Sciences Library, Fred LaPolla, was brought in to help teach an Intensive Research Practicum for Primary Care Residents. Dr. Colleen Gillespie, the Director of the Division of Education Quality in the Institute for Innovations in Medical Education and an Associate Professor in the Department of Medicine, led the practicum and wanted residents to ask a question of a secondary dataset, analyze the data, present the results, and write up a draft of a manuscript in 10 days. Prior to the beginning of the practicum, LaPolla pointed Dr. Gillespie to the NYU Data Catalog, and she was able to contact Dr. Lorna Thorpe about the Harlem Health Advocacy Partners Data Set.

“West 125th Street looking west from Seventh Avenue, Harlem, New York City” From the Schomburg Center for Research in Black Culture, Photographs, and Prints Division, The New York Public Library. 1946.

“West 125th Street looking west from Seventh Avenue, Harlem, New York City” From the Schomburg Center for Research in Black Culture, Photographs, and Prints Division, The New York Public Library. 1946.

The Harlem Health Advocacy Partners (HHAP) dataset was collected in five public housing developments in Harlem, New York City, where the chronic disease burden is high. Two rounds of data collection were performed: first, a telephone survey of 1,633 individuals and second, an interventional study of 370 individuals.The variables through these two rounds of data collection included age, gender, race/ethnicity, employment status, health insurance, self-reported general health, self-reported mental health, level of physical activity, smoker status, BMI, blood pressure, level of social connectedness, and specific health conditions including asthma, diabetes, hypertension, and depression. Previous articles published with this data include “A Place-Based Community Health Worker Program: Feasibility and Early Outcomes, New York City, 2015,” published in the American Journal of Preventive Medicine.

After completing the practicum, the residents worked together with Dr. Gillespie, Dr. Thorpe, and Mr. LaPolla to submit the manuscript for publication as co-authors. This case study in data re-use illustrates how the NYU Data Catalog fits into the data ecosystem, bridging connections between researchers and helping people locate relevant datasets. It also illustrates how important data re-use can be to young researchers and students, as it can provide access to data without the high cost of them having to collect it themselves, or pay for that data.

Data Catalog Collaboration Project receives CTSA Great Team Science Contest Award for Top Importance

what is team science?

Team science is a collaborative effort to address scientific challenges that leverage the strengths and expertise of professionals trained in different fields. One of the overarching goals of the Clinical and Translational Science Awards (CTSA) given to select institutions is to promote team science through establishing mechanisms by which biomedical researchers can collaborate, be trained in why team science is important, and develop evaluation measures to assess teamwork in biomedical research contexts.

about the award

Last week, the Data Catalog Collaboration Project (DCCP) found out that they had received an award from the CTSA Great Team Science Contest, which asked CTSA-funded hubs to submit examples of team science successes to be evaluated by a review panel and presented at the fall meeting. Each application was scored based on a number of categories: overall score, top importance, top innovation, top impact, among others. 170 applications were submitted, and the DCCP received the highest score for the Top Importance category. I was able to present the topic at the Fall CTSA Program Meeting where I could discuss the value of the data catalog approach to leaders in biomedical translational research. The people I spoke to were most interested in how the data catalog can help them make disparate, hard to find research datasets that are spread out and stored in various places across their institution more discoverable using a single system.

Expanding our reach beyond libraries

From our perspective, the most exciting part about receiving this award was that our approach of having libraries implement local data catalogs, establishing collaborations between librarians and developers to improve data discovery, fostering partnerships with our local institutional research initiatives, and making concerted efforts to reduce the barrier on the research community to share was seen as the most important project by a community that expands well beyond the realm of libraries. This is a considerable achievement because the other projects that were submitted were very strong in addressing a diverse range of team science initiatives. The DCCP has long been an advocate of ensuring that institutional research data is discoverable, available and usable regardless of where it is stored, and this award is an acknowledgement that the broader biomedical research community agrees.

The DCCP has grown to 8 libraries in total working to improve institutional data discovery, and this award can serve as evidence of its value to libraries or broader institutions interested in improving their data discovery needs. The DCCP members all provide a great service to their institution, and to the other libraries participating in this effort. If you are interested in being a part of this effort, please reach out to us.