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Overview

Overview#

Materials researchers need collaborative tools for data curation. Too often, acquired data and other research artifacts are stored on local systems for analysis or shared using common cloud-based file management tools that are ill-suited for research artifact curation.

The IMQCAM digital twin environment provides a centralized portal for the management of data and software artifacts for materials researchers. It consists of the following:

  • Data Catalog: a scalable web-based portal for the curation, sharing, and preservation of research artifacts.

  • Analysis Dashboard: a web-based service for the creation, sharing, and publishing of transparent and reproducible analyses.

Data Catalog#

The Data Catalog (https://data.imqcam.org/) is a scalable web-based portal that allows researchers to transfer, organize, annotate, and share research artifacts with others.

../../_images/imqcam-data-catalog.png

Fig. 1 IMQCAM Data Catalog#

Key features include:

  • Web-based user interface that supports basic data management functions (upload, create/rename/delete, access control, metadata/annotation)

  • Authentication using your institutional credentials

  • Complete REST-based API (https://data.imqcam.org/api/v1)

  • Python toolkit and command-line utilities

Analysis Dashboard#

The Analysis Dashboard (https://dashboard.imqcam.org/) enables users to create and share analysis environments (called tales) based on popular tools including Jupyter and MATLAB.

../../_images/imqcam-tale-dashboard.png

Fig. 2 IMQCAM Analysis Dashboard#

Key features include:

  • Web-based user interface that supports the creation and sharing of custom computational environments using Docker

  • Interactive access to data in the IMQCAM Data Catalog

  • Reproducible and transparent analysis

  • Publishing computational artifacts

  • Complete REST-based API

Contents