HackHub: Revolutionizing Data Management and Exchange in Hackatons
Hackathons Data Central: An intuitive web application that simplifies and enhances data management and exchange in hackathon environments.
Initial situation
During hackathons, participants require efficient data exchange to collaboratively develop innovative solutions. Currently, energy-related data within the Swizerland is often dispersed across multiple channels, making it difficult to access and manage effectively in a single place. This absence of a centralized tool leads to fragmented data handling, duplicated efforts in data acquisition and preparation, and potential delays in the rapid prototyping process crucial to hackathon success, ultimately hindering seamless communication and collaboration among participants.
Project goal
This project aims to transform data management by developing a centralized, user-friendly platform. Our primary objective is to build an intuitive web interface that enables participants and organizers to efficiently manage, explore, and visualize datasets relevant to hackathon challenges, fostering greater collaboration and productivity.
Challenges Overview
(All Users)
Users can browse the list of available challenges. Non-logged-in users can view basic details of all challenges. Logged-in participants can explore and join any challenge, while challenge owners only see and manage their own challenges.
Dataset Management
(Owner View)
Challenge owners can view the datasets linked to their challenge and have full control: they can add new datasets, edit existing ones, or delete them—all from a single interface.
Predefined Dataset Form
(Owner Side)
When adding or editing a dataset, owners are provided with a standardized form to ensure data consistency and completeness. The same form structure is used for both actions.
Dataset Access
(Participant View)
Once participants join a challenge, they gain access to view all datasets associated with that challenge.The data is displayed in an organized and readable format for easy use.
Solution developed and its benefits
To address the inefficiencies faced by both dataset owners and participants in hackathons, we have developed an innovative web application that simplifies data management and access.The platform offers intuitive tools for dataset owners to categorize and manage datasets by challenge, ensuring that the right data is always available at the right time. Dataset owners can add, edit, or delete data associated with their respective challenges from a single, streamlined interface. This removes complexity and ensures that all datasets are up-to-date and consistent. While participants can efficiently explore and access datasets in a structured and visual manner. Instead of wasting time searching for specific datasets, users can simply browse through organized categories, filter by challenge, and view the data that is most relevant to their work. The application also supports various file formats (PDF, JSON, websites, etc.), enabling users to interact with and visualize different types of data directly on the platform.
- Centralized platform to manage all datasets in one place.
- Standard form ensures consistency and completeness across all datasets.
- Public datasets can be reused across multiple challenges.
- Participants can view challenge and dataset details before joining.
- Built-in visualizations allow users to explore data directly on the platform.
- Automatic deletion of datasets based on the selected storage duration.
Key terms
- Hackathon A time-bound event where individuals or teams collaboratively develop software or hardware solutions to specific challenges.
- Dataset A structured collection of data, often organized by topic or challenge, used for analysis, visualization, or development.
- Challenge A specific problem or topic presented during a hackathon that participants aim to address with innovative solutions.
- Owner The person responsible for managing one or more challenges during a hackathon event. They upload, maintain, and organize datasets relevant to their assigned challenge(s).
- Participant A user engaged in solving hackathon challenges using available datasets and platform tools.
- Centralized Platform A single web interface where all datasets and related information are managed and accessed.
- Data Visualization The platform’s ability to automatically display and represent data from various file formats (e.g., PDF, DOC, website) directly in an easy-to-understand graphical format or structured view, allowing users to analyze and interpret data without leaving the platform.<
- Public Dataset A dataset that is accessible to all users and may be reused across multiple challenges.
- Storage Duration The amount of time a dataset remains available on the platform before automatic deletion.
Costumer

EDIH
Bernhard Isenschmid and Eifert Matthias
Hightech Zentrum Aargau AG
Badenerstrasse 13
CH-5200 Brugg
http://www.hightechzentrum.ch/
Team
Odelia Sajtschik
Advisor
Norbert Seyff
Nitish Patkar