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Related Experiment Video

Updated: Sep 8, 2025

gP2S, an Information Management System for CryoEM Experiments

gP2S, an Information Management System for CryoEM Experiments

Published on: June 10, 2021

Adamant: a JSON schema-based metadata editor for research data management workflows.

Ihda Chaerony Siffa¹, Jan Schäfer¹, Markus M Becker¹

¹Leibniz Institute for Plasma Science and Technology (INP), Greifswald, Felix-Hausdorff-Straße 2, 17489, Germany.

|August 4, 2022

Summary

This summary is machine-generated.

Adamant is a web tool that streamlines research data management (RDM) from experiment conception. It supports FAIR data principles through user-friendly metadata collection and integration with existing RDM tools.

Keywords:

FAIR Principles JSON Schema Research Data Management

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Area of Science:

Computer Science
Information Science
Scientific Research

Background:

Effective research data management (RDM) is crucial for scientific integrity and reproducibility.
Achieving Findable, Accessible, Interoperable, and Reusable (FAIR) data requires systematic metadata collection.
Small laboratories often face challenges integrating robust RDM practices into their workflows.

Purpose of the Study:

To introduce Adamant, a web tool designed for systematic and early-stage research metadata collection.
To facilitate a continuous, consistent, and transparent RDM process.
To simplify the creation of metadata schemas and support adherence to data standards.

Main Methods:

Utilizes JavaScript Object Notation (JSON) schema to generate interactive web forms for metadata collection.
Provides a user-friendly interface (UI) accessible to users with limited programming experience.
Offers a programming interface for integration with other RDM software, such as electronic lab notebooks and repositories.

Main Results:

Adamant enables on-demand metadata schema creation and collection according to established or new standards.
The tool simplifies the integration of various RDM methods and software into daily research activities.
Its intuitive UI design ensures accessibility for researchers regardless of their technical expertise.

Conclusions:

Adamant supports good scientific practice by ensuring a transparent and consistent RDM process.
The tool promotes the creation of FAIR research data.
Adamant is particularly beneficial for small independent laboratories seeking to enhance their RDM capabilities.