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National Repository โ€ข Life Science Data

Indian Biological Data Centre (IBDC)

The first national repository for life science data in India, mandated to archive life science data generated from publicly funded research and to enable FAIR data sharing.

Who we are

IBDC is the first national repository for life science data in India. Supported by the Government of India through Department of Biotechnology and hosted at Regional Centre for Biotechnology, Faridabad. IBDC archives, curates and shares life science data from publicly funded research. Built modularly to handle heterogeneous data types.
Due to the heterogeneity of life science data, IBDC has been developed in a modular nature wherein different sections would typically deal with particular types of life science data. Each IBDC section has a dedicated data submission and access schema. In addition to archiving life science data, IBDC is also developing highly curated data sets in order to facilitate knowledge discovery in various domains of life sciences, providing infrastructure and expertise for biological data analysis.
Fundamentally, IBDC is committed to the spirit of data sharing as per FAIR principles. IBDC is facilitating as the major repository for life science data emerging from India, it will constantly strive to serve the requirements of the scientific community.

Why it matters

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Enable Discovery

Provide discovery-ready, curated datasets and tools for researchers.

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Secure Archiving

Reliable, long-term preservation and versioned storage.

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Open Access APIs

Programmatic access for analysis and integration into workflows.

Objectives

Persistent archiving

Provide an IT platform for perpetually archiving biological data generated in India.

SOPs & FAIR

Develop SOPs for storing and sharing data per FAIR principles.

Quality & curation

Perform QC, curation/annotation, backups and lifecycle management of data.

APIs & tools

Develop web-based tools and APIs for data sharing and retrieval.

Training & outreach

Organize training programs on big data analysis and the benefits of data sharing.

Metadata & standards

Define metadata standards and validation pipelines for submissions.