Open Knowledge Maps is a charitable non-profit. All of our services are free and open. There are no license fees and no lock-in effects. To provide a sustainable platform for open discovery, we propose to fund Open Knowledge Maps in a collective effort: organisations become supporting members and provide a yearly contribution. In return, our supporting members are invited to co-create the platform with us. Find more details below or download our flyer, which contains a summary of the information displayed on this page.
Benefits for research organisations and libraries:
We joined Open Knowledge Maps as a Supporting Member because it is an innovative tool for literature search and we are eager to support the further development of Open Knowledge Maps.
Dr. David Johann, Head of Group Knowledge Management, ETH Library, ETH Zurich
Open Knowledge Maps is a considerable reinforcement in the areas of open science & open access, which are central to our research services.
Dr. Andrea Hacker, Open Access and Bern Open Publishing (BOP), University Library Bern
Open Knowledge Maps is one of these initiatives we consider to be a visionary innovator in the field of discovery in open spaces.
Prof. Dr. Klaus Tochtermann, Director, ZBW
All of our services are free and openly licensed.
Your membership supports an open and transparent discovery infrastructure that is developed in close collaboration with the community. Our offering includes:
Open Knowledge Maps is an AI-based search engine that enables researchers, students, and practitioners to quickly identify relevant resources. Instead of long, unstructured lists of search results, we create rich visual overviews of research topics, so-called knowledge maps.
Largest visual search engine for research
We increase the visibility of content from a variety of sources, including research institutions, funders, and publishers. With our services, individuals and organisations can create knowledge maps based on 300+ million research outputs from all disciplines. You can choose between more than 20 output types, including journal articles, books, and research data.
Part of the European Open Science Cloud (EOSC)
We are involved in many EOSC-related activities. As coordinator of the GO FAIR Implementation Network “Discovery”, we facilitate the improvement of research data discovery. As a partner in the Horizon 2020 project TRIPLE, we co-develop a European discovery platform for the social sciences and humanities.
Download our flyer, which contains a summary of the information displayed on this page.
We currently offer supporting memberships in three categories. For more information on the categories, please see the details below. Note: Small organisations mean small and medium-sized enterprises (SMEs) as defined in the relevant national or regional classifications. An exception are infrastructure organisations and networked organisations, which are always considered to be large organisations.
As a supporting member, you are directly involved in the decision-making process around Open Knowledge Maps by way of the Board of Supporters. The Board of Supporters provides input on the technical roadmap and has one third of the vote on what features are implemented on Open Knowledge Maps. This is done in a lightweight process via two short web forms. It is up to the members to which extent they choose to engage with this process.
Discounts for consortia of 10 or more organisations are available! For more information please contact Open Knowledge Maps founder and chairman Dr. Peter Kraker at: firstname.lastname@example.org.
With your contribution, you facilitate the maintenance of Open Knowledge Maps. This makes sure that the platform will be available now and in the future.
With your contribution, you support the maintenance, but also the development of substantial new features on Open Knowledge Maps. This makes sure that we can improve Open Knowledge Maps going forward.
With your contribution, you support us in achieving our vision of turning discovery into a collaborative process. This makes sure that we can work towards a large-scale collaborative discovery system (see our video for more details).