Mission Statement
ModelingHub aims to centralize and streamline the exchange of knowledge within the computational chemistry community. By providing a space where high-quality tutorials and workflows can be shared and accessed, the goal is to bridge the gap between scattered resources and the need for comprehensive, objective-oriented guides. The platform aspires to foster collaboration and the sharing of best practices, ultimately contributing to the advancement of the field and making computational chemistry more accessible to researchers of all levels.
The Problem Being Addressed
In the current landscape of computational chemistry, finding reliable and detailed guides can be challenging. ModelingHub seeks to address several key issues:
- Fragmentation of Resources: Tutorials and workflows are often dispersed across the web—hidden in forums, personal blogs, and ad-hoc wikis—making them difficult to locate and access. ModelingHub intends to aggregate these resources into a single, searchable database, simplifying the process of finding relevant information.
- Manuals Lack Objective-Oriented Guidance: While software manuals are often comprehensive, they tend to be general and do not always provide step-by-step guidance tailored to specific research goals. ModelingHub aspires to fill that gap by offering tutorials focused on achieving tangible, meaningful results.
- Cross-Disciplinary Needs: Computational chemists frequently need to integrate multiple techniques, software, and concepts to achieve their research objectives. These interdisciplinary approaches are rarely covered in a single manual. ModelingHub seeks to support the creation and sharing of workflows that combine various tools and methodologies into cohesive, goal-oriented procedures.
- Knowledge Retention Within Groups: Much of the expertise in computational chemistry remains within research groups or is passed down through personal communication, limiting its reach. By providing an open platform, the aim is to encourage the wider dissemination of best practices, helping to elevate the entire community.
- Reproducibility of Research: Reproducibility is a significant challenge in computational chemistry. Replicating complex procedures from published papers can be difficult, even for experienced users. ModelingHub could allow authors to provide in-depth explanations and detailed workflows, helping others to successfully reproduce their results.
What the Platform Offers
- Centralized Repository: A developing resource for tutorials, workflows, and guides in computational chemistry, making it easier to find the information needed.
- Objective-Oriented Content: Tutorials designed to help users achieve specific research goals, rather than simply explaining software features.
- Cross-Software Workflows: Guides that integrate multiple tools and techniques, reflecting the real-world needs of computational chemists.
- Community-Driven Content: Users are encouraged to contribute their own tutorials and workflows. Submissions will be reviewed to ensure they meet quality standards, fostering a culture of excellence and collaboration.
- In-Depth Explanations for Reproducibility: Authors may provide detailed explanations of the methods used in their published papers, enhancing the reproducibility of computational research.
Who Is Behind ModelingHub.xyz
ModelingHub is envisioned as a community-driven space created by and for computational chemists. Contributors might include researchers, academics, and industry professionals who are passionate about sharing their knowledge and improving the accessibility of computational chemistry.
Join the Community
Whether you’re an experienced computational chemist or just beginning your journey, you are invited to join this emerging community. By contributing knowledge, learning from others, and collaborating, ModelingHub hopes to build a comprehensive resource that benefits the entire field. The collective effort could push the boundaries of what is possible in computational chemistry.
Contact Us
For questions, feedback, or interest in contributing, please get in touch through the contact page. Input and suggestions are welcome, as the platform seeks continuous improvement and growth.