Welcome to ARDMS


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Connect with Research Data Management System of Universities and Colleges of India

Stay toned with the latest Research Data produced from Indian Academic Institutes of the Country. Join as Researcher, Viewer or as Reviewer

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Who's on ARDMS?

Learners

Viewers

Dive into ARDMS's Dataset.

Developers

Research Scholar

Upload Dataset to ARDMS.

Reviewers

Reviewer

Review dataset to perfection for ARDMS.

Developers

Admin

Manage all the datasets and Reviewers of the system.

Researchers

Super Admin

Manage all users and functions of the system.

Total Registered Users

0

Total Datasets

0

Total Downloads

0

Total Hits

0

Browse datasets by subject:

Economy

2

Economics

Education

1

Political Science

Environment

1

Sociology

Environment

1

Psycology

Environment

0

Social Work

Environment

1

Women Studies

Health

0

History

Science

0

Philosophy

Economy

0

Education

Education

1

Mass Communication

Science

1

Library and information Science

Labour

0

Management

Health

0

Commerce

Health

1

Environmental Studies

Science

0

Physical Education

What We Offer?

The Academic Research Data Management System (ARDMS) is a centralized platform designed to manage the entire lifecycle of research data, from planning and collection to secure storage, sharing, and long-term preservation. It ensures research outputs are findable, accessible, interoperable, and reusable (FAIR), while providing essential services like safe storage, metadata management, and compliance with data management policies. By streamlining workflows and supporting data quality and integrity, ARDMS allows researchers to focus on their core work while meeting the growing demands for Research Data Management Plans (RDMPs) and compliance with funding and publication requirements.

In addition to improving transparency, reproducibility, and accountability in research, ARDMS addresses challenges like data loss, duplication, and interoperability gaps. It supports academic libraries in enhancing data stewardship and fosters collaboration among researchers, funding bodies, and the academic community. By enabling data sharing and supporting reproducibility studies, it ensures valuable research data remains accessible and beneficial over time, while empowering librarians and data stewards with advanced roles in data curation and management.

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