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MC2 Center Data Models Explorer

GitHub release (latest by date)

Welcome!

The MC2 Center Data Models Explorer enables structured, standardized documentation of data and resources for the Cancer Complexity Knowledge Portal.

This platform is designed to support researchers, developers, and data contributors by enhancing collaboration, reproducibility, and data discovery through clear metadata standards. Documenting key attributes of datasets, studies, publications, and more ensures that research outputs remain accessible and reusable across teams and projects.

What Can You Do Here?

The platform supports the documentation and upload of a variety of resource types. Choose the resource relevant to your work from the table below:

Resource Type Description
Datasets Collections of structured data such as clinical or genomic research results.
Studies Research projects with details like methodologies, assays, and participant data.
Publications Academic papers or reports with citations, abstracts, and other metadata.
Grants Funding information including institutions, collaborations, and grant IDs.
Educational Resources Tutorials, guides, and learning materials to support knowledge sharing.
Files Individual research files to organize and reference within projects.
Tools Software applications used for data analysis, visualization, and workflow automation.
Persons Profiles of key individuals involved in research projects, including investigators and contributors.

By documenting your resources here, you make your work more discoverable, reproducible, and impactful.

Who Should Use This Platform?

The MC2 Data Models Explorer is tailored to meet the needs of various users. Whether you're managing datasets or contributing software tools, here's how it benefits you:

User Type How You Benefit
Researchers Increase visibility and reproducibility of your studies and datasets.
Developers Share and document tools that streamline research workflows.
Data Scientists Catalog critical data resources to advance discovery and innovation.
Project Managers Maintain consistency and traceability of research resources over time.
Educators Disseminate tutorials and training materials to enhance learning and skill-building.

By contributing metadata and resources, you support a robust knowledge network that accelerates scientific progress.

Why Contribute Resources?

Contributing resources benefits both you and the wider research community. Here’s why it matters:

Benefit Description
Visibility Your work becomes more discoverable, potentially attracting new collaborators and citations.
Reproducibility Comprehensive metadata enables others to replicate or extend your research findings.
Collaboration Sharing resources opens opportunities to connect with researchers tackling similar challenges.
Data Longevity Properly documented data remains accessible and useful for long-term projects and evolving technologies.
Recognition Demonstrating your commitment to open science enhances your professional reputation and credibility.

Your contributions make a difference by fostering openness, innovation, and collaboration.

How to Use This Platform

The Data Models Explorer offers easy navigation and search options:

Action Instructions
Search for Terms Use the search bar above to look for specific metadata terms.
Browse Categories Navigate using the left-hand menu to explore terms organized by resource type.

If you're ready to contribute your resources, check out the tutorial page for step-by-step guidance.

Found an Error?

We continuously work to improve our data models. If you notice any issues or have suggestions, please [let us know].

You can also read our [contribution guidelines] if you'd like to submit updates directly.

Important

Changes to existing terms may have downstream impacts, so please provide clear justifications for any major revisions.