NCDS Data Internship

External reviewers are Network members who have representative data librarian experience. The external reviewers make scored recommendations for selection to the NCDS Internship Committee.

Applicants may request to receive a copy of reviewer comments and rubric. 

Scored Review Criteria

The application will be scored in the following areas:

• Describes applicant's interest in the internship and how the internship would benefit the applicant. (20 pts)
• Describes the applicant's experience working with or seeking to learn about data or providing data services. (5 pts)
• Describes and details projects the applicant may be interested in undertaking, as part of the internship. (5 pts)

After the scoring process, the applicable candidates are then selected based upon geographical distribution to align with funding and skill/project match.

Applicants who are accepted will be notified in late April. Onboarding procedures will follow in order to begin processing for employment. NCDS will provide an internship agreement for all selected candidates.

Expectations for Participation: Student interns will attend regular meetings and check-ins, complete all assigned trainings, and submit a final project report. Students are strongly encouraged to submit their work to conferences and journals. Each intern will have the opportunity to receive funding from NNLM to present at one conference where their proposal has been accepted.

Recipients of NNLM funding are required to deposit any peer-reviewed manuscript upon acceptance for publication in PubMed Central in accordance with the NIH Public Access Policy.

Data Sharing and Development of Training Materials

To facilitate the dissemination of knowledge and information associated with the NNLM Cooperative Agreement Award, all are required to share any data or training material resulting from funding. This information must be submitted to the following collection sites as applicable: Network of the National Library of Medicine (NNLM) website; Other websites specifically designated by the NLM as part of the Network of the National Library of Medicine (considering changes in the project and data repositories required to maintain sharing within the Network). In addition, recipients of funding are expected to use or adapt existing training materials before developing new materials. Consult with your RML/Office and the NNLM Training Office (NTO) prior to developing materials. Publication and Copyrighting: Per Section 8.2.1. - Right in Data (Publication and Copyrighting) of the NIH Grants Policy Statement. The NIH must be given a royalty-free, nonexclusive, and irrevocable license for the Federal government to reproduce, publish, or otherwise use any materials developed as a result of funding and to authorize others to do so for Federal purposes, i.e. the ongoing development of the Network of the National Library of Medicine.

Data developed by participants and consultants are also subject to this policy.

NIH Acknowledgement

Any resources developed with project funds must include an acknowledgment of NIH grant support and a disclaimer. Please consult with the NCDS for the specific acknowledgement statement to be used for your project award.

2023 Medical Library Association Southern Chapter and South Central Chapter Joint Meeting -  Absorbing Data: An Intern’s Journey Through the National Center for Data Services Program by Amanda Pazos

2023 Midwest Data Librarian Symposium - Preparing the Next Generation of Data Librarians: A Roundtable Session with National Center for Data Services (NCDS) Interns by Corey E. Black, Katya E. Mueller, and Jennifer Ye Moon-Chung

2023 Midwest Data Librarian Symposium - Engaging MLIS Interns with Data Curation Primers by Maria Lee

2023 Medical Library Association Upstate New York & Ontario Chapter Meeting - The National Center for Data Services Data Librarianship Internship: Training for Underrepresented, MLIS Students through a Bibliometrics Project by Phoebe Yip

2024 Research Data Access and Preservation Summit - NCDS Internship Showcase (3 presentations) by Peace Ossom, Avianna Wooten, and Maria Lee

2022 Digital Library Federation Forum conference - Hands-On Practical Experience in Data Services: Findings from the First Cohort of a Paid Summer Internship for BIPOC Graduate Students by Justin de la Cruz, Dev Wilder, Silvia Wu, and Loida Pan

2022 Joint Conference of Librarians of Color - Diversifying Data Librarianship via a National Internship Program: Practical Experiences for POC by Peace Ossom, Maria Arteaga, Aundria Parkman, and Robert Rosas (session was cancelled due to hurricane)

2023 Research Data Access and Preservation Summit - NCDS Internship Showcase (6 presentations) by Peace Ossom, Dev Wilder, Loida Pan, Liliana Gonzalez, Maria Arteaga Cuevas, and Silvia Wu

Project 1: "Exploring the NNLM Data Warehouse." (NNLM National Evaluation Center) The NNLM Data Warehouse stores NNLM data from the early 2000s to the present. This data is used to feed interactive dashboards, and NNLM members have the option to request data for their own research, analysis, and reporting. This project will help adapt existing data to a new data reporting system (CiviCRM) and add modifications and improvements to enhance reporting capabilities and analyses.

Data Skills to be Developed: 1) Learn how to interpret and understand data models and database schemas  2) Learn how to use relational databases  3) Become proficient in the SQL programming language  4) Use Python to interact with the database and create data pipeline script  5) Integrate the GitHub code repository into your coding workflow  6) Lean how to retrieve data from APIs  7) Create data visualizations with Tableau

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Project 2: "Enhanced Research Metrics: Turning Publication Data into Actionable Insights" (Edward G. Miner Libraries, University of Rochester) Research metrics, such as author collaboration networks and publication impact, can provide valuable insights into scientific production. However, collecting and organizing these data can be a time-consuming and resource-intensive process. This project aims to utilize bibliographic data from Scopus to generate research metrics for various medical departments at our medical center.

Data Skills to be Developed: 1) Data analysis and visualization 2) Data manipulation and cleaning 3) Use of an IDE, e.g., (Visual Studio Code) 4) Familiarity with Rbiblioshiny package 

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Project 3: "Ecology of infectious disease" (Cary Institute of Ecosystem Studies) We are looking to predict the next disease outbreak before it happens. This project focuses on (1) identifying animals that amplify disease, using computer algorithms that compare traits of known disease carriers with species not yet known to carry disease, and (2) examining which combinations of species, pathogens, and environmental conditions give rise to disease outbreaks. Interns will help clean and augment a subset of data from the Global Infectious Disease and Epidemiology Network (GIDEON) https://www.gideononline.com/.

Data Skills to be Developed:  1) Creating tidy data  2) Working with and exploring biological and ecological data about mammals and zoonotic pathogens around the world  3) Using R, Python, or other scripting and coding languages 4) plotting and visualizing data 5) learning about data and software management plans

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Project 4: "Git Primer Development" (The Data Curation Network) Data Curation Primers are detailed reference documents centered on a specific subject, disciplinary area, or curation task that can be used by curators when curating a dataset that falls outside of their expertise. These step-by-step resources provide a shared knowledge base for a specific data format, method, or tool. Interns will help develop a primer for Git, a distributed version control system that tracks changes in any set of computer files.

Data Skills to be Developed: 1) Git competency 2) GitHub competency 3) Familiarity with different data types 4) Data literacy   

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Project 1: NYU Health Sciences Library, NYU Langone Health. The NYU Health Sciences Library Data Services Team provides workshops on various topics for the NYU Langone Health community. Each workshop requests feedback from participants through a survey. NCDS interns will work to analyze the information received in surveys dating from January 2019 as a way of improving educational offerings.

Data Skills to be Developed: 1) Data collection with REDCap, 2) Data cleaning and visualization in Python 3) Quantitative and qualitative data analysis

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Project 2: NNLM National Evaluation Center. These internship positions will join our developers in enhancing the NNLM Data Warehouse, which stores NNLM data on subaward projects, activities conducted by staff and subawardees, and participants in NNLM activities. The intern will help to fulfill data requests, test new functionality, and contribute to the code base.

Data Skills to be Developed: 1) Build and use relational databases, 2) Become proficient in the SQL programming language, 3) Use Python to interact with database and create data pipeline script, 4) Retrieve data from APIs, 5) Create data dashboards with Tableau

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Project 3: Data Curation Network. The Data Curation Network is a membership network composed of fifteen organizations with wellestablished public access data repositories, which share functional and subject expertise to facilitate the more robust management and curation of research data. Interns will be partnered with a team of DCN mentors and receive data curation training from DCN colleagues for the CURATED protocol, gain exposure to de-identification strategies through existing DCN material, and curate data using the CURATED protocol. The interns will then complete a rotation with DCN curators to obtain hands-on experience in curating various types of datasets that are deposited in the organizational repository

Data Skills to be Developed:  1) Using the CURATED workflow for processing data for sharing and preservation, 2) Evaluating data quality, 3) De-identification of data

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