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After gathering one of the largest collections of individual patient data on antimicrobial resistance (AMR) in the world, the Global Research on Antimicrobial Resistance (GRAM) Project is now inviting researchers to use this valuable resource in their own studies. The AMR data repository, hosted by the Infectious Diseases Data Observatory (IDDO), now covers nearly 70 countries and 250,000 patients, after launching last year to provide a secure, sustainable platform for global AMR data sharing. Holdings currently include 38 datasets from 24 different (GRAM) Project collaborators.

Drug-resistant, ESBL-producing E. coli bacteria © CDC
Drug-resistant, ESBL-producing E. coli bacteria

Accessing AMR data in the repository

The data are available at no charge to researchers around the world. Interested parties must complete a data access application, which will be assessed either by the data contributor, or by IDDO’s independent data access committee (DAC), which is committed to the principles of equitable, ethical, and transparent data sharing.

To learn more about AMR data in the repository, visit the AMR data repository pages on the IDDO website. Current contributors include the International Nosocomial Infection and Control Consortium (INICC); Aga Khan University, Karachi, Pakistan; ACORN (A Clinically Oriented Antimicrobial Resistance Surveillance Network), and many others.

Contributing AMR data to the repository

With many funders encouraging re-use of research data, the repository offers contributors the option to expand access to qualified third-party researchers in multiple ways. Contributors may delegate decision-making authority to the DAC, or contributors may opt to retain oversight—approving or denying all requests.

The repository adheres to FAIR principles of findability, accessibility, interoperability, and reusability. IDDO will assign relevant digital object identifiers (DOI) to contributed datasets, which will appear in subsequent works that analyse them.

For more information about contributing data to the repository, view the ‘Work with GRAM’ pages on the IDDO website.

The full story is available on the GRAM website 

 

Below Dr Makoto Saito (left) discusses his plans to use AMR repository data, with members of the GRAM team.