The volume of digital data is doubling every two years (EMC, 2014). In the world of science, the cumulative total of articles published since 1665 is estimated to be more than 50 million (Jinha, 2010). There is a wealth of knowledge hidden in this huge amount of articles, but reading and analyzing all of them manually is not humanly possible. Text and data mining (TDM) can provide a solution. It can read and analyze millions of texts quickly and reveal patterns and trends that can lead to new discoveries in various fields, for example in scholarly communication, medicine, agriculture and social sciences. However, it is difficult for researchers and their librarians to find minable data and TDM services online. Even if the data are openly accessible, they are often only available on publishers’ websites that all support their own technology for accessing this information (Knoth and Pontika, 2016). Combining services on one dataset is almost impossible. The European project OpenMinTeD helps to solve these problems with a new platform on text and data mining. The project will: provide an extensive collection of TDM tools and services, which can be used across disciplines and communities. give access to big amounts of mineable open science, both text and data. establish interoperability standards and build a standard layer. In this way, miners can combine different TDM services on their data. provide training and support for different stakeholders, in the form of workshops as well as online resources and courses. encourage developers to further develop existing open tools and services. The OpenMinTeD platform will be of major help to librarians who would like to give researchers hands-on guidance on TDM. And, libraries who are working with open data are invited to become part of the platform by making their text and data available for TDM. All the tools and services are open access and open source. Our goal is to make the world of open science mineable, therefore we work with content providers of open text and data, such as CORE. In order to make sure the platform and services will be used, OpenMinTeD works together with different user communities, including research analytics, life sciences, agriculture & biodiversity and social sciences. We are also working on a sustainability plan and we will work closely with the OpenAIRE project to continue the infrastructural work on text and data mining in the long-term. Our mission is to make the immense amount of open text and data that currently exists discoverable, and we believe TDM is the way to do this. Bio: Martine Oudenhoven, EU project Community Engagement Officer, LIBER. Martine joined LIBER in November 2016 as community engagement officer. She is responsible for engagement related activities and dissemination of several EU projects, including the OpenMinTeD project that sets out to build an open infrastructure for text and data mining. Before joining LIBER, she worked as communication advisor at Leiden University Medical Center and the Faculty of Science of Leiden University. She is also a member of the core team of ScienceOnline Leiden, an open community that experiments with new ways of communicating science. Martine has a background in biology (MSc from Wageningen University) and communication. She is experienced in connecting and engaging multidisciplinary communities, science communication and outreach and strategic communications of scientific and scholarly consortia, organisations and higher education.