Abstract

Submission

Abstract Submission Guidelines

The 2026 Conference Planning Committee invites you to submit abstracts for oral and poster presentations at the 7th National Big Data Health Science Conference, to be held February 12-13, 2026, in Columbia, SC. Authors will have the option of publishing their abstract in the 2026 Conference Proceedings at no cost.

Abstract Submission Deadline: November 14, 2025

Submit Your Abstract Here

Goals for the 2026 National Big Data Health Science

  • Stimulate further advancements in Big Data health science research through rich interdisciplinary and multidisciplinary collaboration.
  • Be a multidisciplinary scientific venue for the exchange of new concepts, methods, and results to encourage the sharing of theoretical, methodological, and substantive knowledge from Big Data health science research.
  • Identify new issues that are, to date, understudied in this area and then generate, promote, and support innovation in Big Data health science.
  • Encourage open discussion on key issues in Big Data health science, with a focus on emerging methods that may influence the future of healthcare.
  • Facilitate the exchange of ideas and findings that could shape the direction of Big Data health science.
  • Provide opportunities for networking and collaboration between stakeholders interested in Big Data health science research.

Presentation Format

Abstracts must be responsive to the conference theme: ” Unlocking the Power of Big Data in Health: Bridging the Gap Between Discovery and Delivery”.

Abstracts may be submitted for:

In-Person Poster Presentation

Delegates will hang their poster in the poster hall during a designated hour and engage in Q&A with an in-person audience.

15-Minute Oral Presentations

Delegates will have 15 minutes to present their abstract in a relevant breakout session.

Content of the Abstracts

Regardless of presentation format, abstracts may be research-based or program-based.

Research-based abstracts describe empirical studies or methodological studies. They may focus on data or data science in the following areas, among others,

  • Big Data Analytics and Emerging Methodologies
  • Big Data for Public Health and Community Health
  • Big Data for Biomedical Research
  • Big Data Policy, Ethics, Cyber Infrastructure and Cybersecurity
  • Big Data for Clinical Practice and Delivery of Care

Program-based abstracts must describe problems or lessons learned from program development and implementation or policy issues related to Big Data analytics and their application in health science research in the following areas, among others,

  • Interoperability, Infrastructure and Health Data Integration
  • Community/industry engagement
  • Academic training
  • Data governance and policy
  • Other

Abstract Format

Abstracts must be structured according to the requirements below. Only structured abstracts will be considered for acceptance.

For research-based abstracts, the following sections must be included in your submission,

  • Title: Informative and brief title that summarizes the topic of the abstract
  • Introduction: Background information for the research, hypothesis or a description of the problem, ~50 words
  • Study Objectives: Outlines the aim behind the research, ~50 words
  • Methods: Key descriptions of study design, data sources and data analytics, ~150 words
  • Results: Specific results in a summarized format, ~100 words
  • Discussion: Brief comments, conclusions and implications, ~150 words
  • References: Optional, Abstracts can include up to 10 references. All references should be cited out consecutively in text, using numbers in square brack

* Paragraph headings should be typed in bold with no colon at the end.

For program-based abstracts, the following sections must be included in your submission,

  • Title: Informative and brief title that summarizes the topic of the abstract
  • Issues: Short statement of the issue or issues that the abstract addresses, ~100 words
  • Project: Brief description of the project, program, experience, service or study and its results and findings, ~200 words
  • Lessons learned: Summary of the lessons learned and their implications, ~200 words
  • References: Optional, Abstracts can include up to 10 references. All references should be cited out consecutively in text, using numbers in square brackets.

* Paragraph headings should be typed in bold with no colon at the end.

Other Abstract Requirements

  • Abstracts must not have been published or presented previously. For full guidance see, Plagiarism and copyright guidance.pdf
  • Abstracts must be submitted in English as a Word document.
  • Abstracts should be no more than 500 words, unjustified, and single spaced.
  • Authors’ first name and surname should be included, with the presenter’s name underlined. Authors’ names should be separated by a comma. An email address must be provided for the corresponding author and an asterisk [*] should be used to link the corresponding author with their email address.
  • Where there are multiple affiliations, a corresponding number must be entered after each author’s name in superscript (e.g., First Last1, First Last2). Affiliations should include department, institute, town, country. Affiliations should be listed in a separate paragraph in the order used against the author names and show the appropriate superscript number
    (e.g.,1Department, Institution, Town, State, Country
    2Company, Town, State, Country).
  • Abstract may include up to 10 in-text references in Vancouver style. All references should be cited out consecutively in-text, using numbers in square brackets (e.g., [1]).
  • Abstracts may include up to two figures/tables/images in total. All tables must be included in an editable format using the “table function” in a word processing program. This is to ensure the columns of data are kept aligned when the file is sent electronically to the publisher. No color or shading should be added to the table. All figures/tables/images should be numbered with a short descriptive title (e.g., Table 1) and should be included in the document where they are to appear. Titles for figures should be included in the text document, not as a part of the figure. All figures/tables/images should be cited/called out in the text.
  • Maximum of two first authored abstracts per delegate (delegates can be co-authors on multiple abstracts).
  • Submission of an abstract constitutes a commitment by the author(s) to present it if accepted. Failure to present, if not justified, will jeopardize future acceptance of abstracts.
  • The presenter is responsible for all expenses associated with the submission and presentation of an abstract (e.g., registration, travel, etc.).

An example abstract may be found here, Author guidelines and example abstract.pdf

The deadline for submission is November 14th, 2025

Contact Elizabeth Baird (eb136@mailbox.sc.edu) with questions.

The selection committee will endeavor to send notification emails about acceptance of abstracts by December 19, 2025. 

Submit Your Abstract Here