Software or Web Services to Re-Represent Existing Scientific Data and Knowledge into a Knowledge Graph Format
ID: NIH/NIAID 136Type: BOTH
Overview

Topic

Software or Web Services to Re-Represent Existing Scientific Data and Knowledge into a Knowledge Graph Format

Agency

Department of Health and Human ServicesNational Institutes of Health

Program

Type: SBIRPhase: BOTHYear: 2023

Topic Link

https://www.sbir.gov/node/2451751

Additional Information

https://sam.gov/opp/aa72581c848947f0b61c15062e604862/view
Timeline
  1. 1
    Release Aug 25, 2023 12:00 AM
  2. 2
    Open Aug 25, 2023 12:00 AM
  3. 3
    Next Submission Due Nov 14, 2023 12:00 AM
  4. 4
    Close Nov 14, 2023 12:00 AM
Description

The Department of Health and Human Services, specifically the National Institutes of Health (NIH) and The Centers for Disease Control and Prevention (CDC), are seeking proposals for Small Business Innovation Research (SBIR) contracts. The solicitation, titled "Software or Web Services to Re-Represent Existing Scientific Data and Knowledge into a Knowledge Graph Format," focuses on the development of software or web services that can convert scientific data and knowledge into a knowledge graph format.

The goal of this research is to address the challenge of digesting and analyzing the increasing volume of scientific data and knowledge. Researchers are increasingly relying on computer algorithms to assist with data analysis and the discovery of new information. The COVID-19 pandemic highlighted the need for efficient data analysis, as a large number of papers were published in a short period of time. The public health response to emerging threats and the treatment of diseases require continuous analysis of new data, which is complicated by the large volume of data being generated.

Knowledge graphs (KGs) have emerged as a valuable technology for data representation and integration. KGs represent information about entities and their relationships in a semantically rich way, enabling efficient data retrieval and analysis by computational algorithms. KGs have shown promise in various scientific domains, such as analyzing collaborations between authors, exploring pathways in molecular biology, and drug repurposing. However, a major bottleneck in leveraging KGs for biomedical research is the difficulty of representing data and knowledge in a KG-compatible format. Many biomedical data are stored in formats that are not compatible with KGs, such as spreadsheets and databases.

The solicitation seeks proposals for the development of software or web services that can convert existing scientific data and knowledge into a KG-compatible format. The funding for this project is as follows: Phase I proposals can receive up to $300,000 for a duration of up to 1 year, while Phase II proposals can receive up to $1.5 million for a duration of up to 3 years. The anticipated number of awards is 1-3.

Overall, this solicitation aims to address the challenge of representing scientific data and knowledge in a KG-compatible format, enabling more efficient data analysis and knowledge discovery in the biomedical research field.

Files
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