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Bioinformatics tools to make data FAIR (Findable, Accessible, Interoperable, and Re-usable)

Description:

Fast-Track proposals will be accepted. Number of anticipated awards: 1-2 Budget (total costs):
Phase I: $300,000/year for up to 2 years
Phase II: $1,000,000/year for up to 3 years
Background
The NIAID Division of Allergy, Immunology, and Transplantation (DAIT) has funded the following bioinformatics resources to meet the needs of the immunology research community for data sharing, knowledge dissemination, standard development and integrative analyses:
 ImmPort (https://immport.niaid.nih.gov/): a unique resource for public data sharing of clinical immunology and research studies
 ImmuneSpace (https://www.immunespace.org/): a data management and analysis platform where datasets from the Human Immunology Project Consortium (HIPC) program can be easily explored and analyzed using state-of-the-art computational tools
 ITN TrialShare (https://www.itntrialshare.org/): a web portal of the Immune Tolerance Network (ITN) that shares information about the ITN’s clinical studies and specimen bio-repository

 IEDB (http://www.iedb.org/): a bioinformatics resource that offers easy searching of experimental data
characterizing antibody and T cell epitopes studied in humans, non-human primates, and other animal species. It
also hosts tools for epitope analyses
 ImmGen (https://www.immgen.org/): a public resource that provides a complete microarray analysis of gene
expression and regulation in the immune system of the mouse
While the data, knowledge and tools provided by these resources are freely available, their usage becomes limited to specific domains because the data representations (the internal method used to represent the type of data) stored in the repository for search, retrieval and presentation tools are specific to the individual repository. There is a growing need for informatics tools and approaches that make it easy for researchers to make data Findable, Accessible, Interoperable and Reusable (FAIR). Tools that facilitate this integration can contribute to transparency and reproducibility and ultimately accelerate research.
Project Goal
The goal of this project is to support the development of new and/or improved methods that make data FAIR in order for popular search engines to index and provide relevant search results for research data sets that are available for public use. These tools will complement the capabilities of more specialized search interfaces or services such as those provided by DAIT-funded data repositories.
Phase I Activities
Phase I activities must include performing a gap analysis of the above-mentioned databases according to the FAIR principles and developing informatics tools to address the identified gaps. The offeror may choose to develop tools with one or more of the following functionalities:
1.
Novel approaches to make data more findable by utilizing information that includes but is not limited to data, metadata, associated literature, and text.
2.
Approaches that extract information about features of the data and make it FAIR so a search engine can find it.
3.
Approaches that perform quality control by verifying ontology mapping, conformance to data description standards or other pre-processing steps involved in making data FAIR.
Phase II Activities
1.
Improve stability, scalability, and usability of the informatics tools prototyped during Phase I.
2.
Add functionalities and capacities to these systems based on research community’s needs.

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