Data Catalogue for Experiment Support

Welcome to our comprehensive data catalogue for experiment support, curated throughout the entirety of our 3-year MediaFutures project, until August 2023. This is the release of the final version of the data catalogue that complements with specific tools, methods and datasets the Data Innovation Toolkit. MediaFutures, an EU-funded project, is dedicated to supporting innovative entrepreneurial and artistic projects that aim to reshape the media value chain.

Within this catalogue, you will find a thoughtfully curated collection of datasets, tools, and self-training resources that are assets for the MediaFutures ecosystem. Whether you are an entrepreneur or an artist, these resources are thought to enrich your creative projects.

Datasets

A catalogue of third-party datasets that may be of interest to the applicants. There is a selection of datasets focused on COVID-19 for the 1st open call.

Tools

A selection of open source tools and technologies suggested by Mediafutures mentors for startups and artists to obtain, process and visualize data within their projects.

Self-training

A collection of self-training resources on different aspects of dealing with data from data ethics and responsible innovation to art-science collaboration.

Assets applied within the MediaFutures projects

Assets

Find the right data, tools and training for you

Want to obtain and manipulate data with minimal or no coding.

Willing to learn and develop some code in your project

Want to obtain and process data for developing your project

  • Training resources on responsible innovation, data skills, data access: improve your data skills and your awareness on data ethics and data access issues
  • Datasets: find datasets relevant to your project from our catalogue
  • Data collection: explore open tools and APIs to obtain data from online platforms such as Twitter, Reddit or Wikipedia
  • Data science: check Python packages for data science that can help you process data to extract information for your artistic project
  • Explainable AI and Algorithmic Fairness: include open trustworthy AI tools for exploring decision-making process of models, and detecting and mitigating potential bias in projects
  • Generative AI: a collection of open resources including open models, frameworks, libraries and tools to deal with generative AI, ranging from large language models (LLMs) and chatbots to image processing and generation. The collection includes open source and alternative models that can be used by anybody, as well as frameworks and tools to help advanced users to deal with the issues of the computational power required to work with this kind of models.

You know how to code, but you need data

  • Datasets: find datasets relevant to your project from our catalogue
  • Data collection: explore open tools and APIs to obtain data from online platforms such as Twitter, Reddit or Wikipedia

To search through the whole collection, or to access the list of all resources in alphabetical order, click here:

Collection