Open Innovation Call - Challenge #2

Vision and Description text

The vision underlying the work of new value added data products that will run on top of the OpenAIRE infrastructure is to address data reuse from OpenAIRE in new contexts that enhance and foster scholarly communication following the FAIR principles of an Internet of FAIR Data & Services (IFDS).

The services must build upon the OpenAIRE APIs (

A critical component of this vision is to think out of the box and create new disruptive services (on top of OpenAIRE) and tools that will reach broader audiences and raise the impact of Open Science and OpenAIRE within EOSC, among other RIs, to user groups, industry, public administration, policy on open science.


OpenAIRE aggregates a vast amount of open science scientific records (data and  metadata, from publications, outcomes of research) that have the potential to assist research communities  to better understand their interconnections, connections to society and industry, their impact, their future. With the evolution of big data technologies in a well-connected world (research web) there is a need to explore, exploit and make sense of scientific and scholarly information in more innovative ways.


OpenAIRE-Advance calls  interested SMEs (developers, data analysts, etc.) and Young Innovators to offer solutions that will use data provided via OpenAIRE, blend with your imagination, skills, expertise and produce new services that will add value for all stakeholders involved in the research process or are recipients of research outcomes  (see below).

What we are looking for in this challenge

We are looking for software, services (new or existing ones) that will promote open content collections or promote and advance open scholarship, and may potentially be integrated into OpenAIRE infrastructure. You can focus on at least one potential user group. Proposed services may combine more than one category.


The characteristics of this challenge is to use the services and data already available in OpenAIRE to build  new services and products.

Important – Categories of actions to work on with suggested scenarios

Potential ideas for products or services  to enhance open scholarship (non-inclusive) which may work as inspirations for applicants:

Boost Open Access
Boost open access content and promote it so that citizens, scientists and companies can easily spot and download it. Being familiar with open access and follow a common routine to find and use open data will engage more people towards an Open Science culture. For example, an idea is to integrate OpenAIRE to Google Scholar Results by creating Google Chrome Add On(s) that will trigger when a Google scholar search is activated and will show the OpenAIRE icon next to the pdf/txt link. Users will be notified by that icon that they can find the article in OpenAIRE. When the OpenAIRE icon is clicked, the user will be redirected to the page where this article is available for download. 
Research Analytics and visualization for funders and policy makers
Combine with other data (web, public sector information, social, e.g.) and provide research monitoring that is relevant for national funders in a trusted way. Include impact as this relates to indicators for innovation.
Make use of OpenAIRE data and assist policy makers to comprehend research impact and draw recommendations by visualising research topics, subjects and trends. Policies could be the link between OpenAIRE and the rest of the world: the idea is to identify themes/data that policy makers could be interested in based on what is available in OpenAIRE, and what OpenAIRE data can tell them in this sense. The overall use case is: you are a researcher working for a local, regional or national authority, or an NGO; you have been commissioned to write something, a serious academic piece but with a very practical aim: to inform new policy recommendations that would benefit sections of the public. You may have access to research and data but equally you may because you do not sit within an academic department at a university. How could you do a quick but robust literature or data review to see what may have been done to answer the policy question you have? Could you gain access to data via a special community dashboard and through OpenAIRE if it has tools for visualising the results of previous research or directly mining it?

Another idea is to link citizen science and innovation. For example, work on the development of the research community dashboard: people interested in specific disciplines could potentially reuse the dashboard, its data and tools, and build on this services to elaborate data and produce new knowledge. An added value could be created by monitoring research by subject and topics. For instance, it would be interesting for a user to filter publications by subject (i.e. Physics) and add more filter like topics (i.e. Climatology and weather) in order to narrow down the results. Subject and topics can be derived from the projects scientific areas and the publications keywords respectively. This also will be useful for the funder from a management perspective.

Calculating impact assessment for research performing organizations.
Any research organization that produces and publishes publications, would potentially be interested to show the impact of that work. How can that be measured, and in combination with OpenAIRE services and data can be shown?
Links to other infrastructures
Develop technical or semantic bridges to related infrastructures within academic environments and beyond. Examples include:
  • Open Education Systems which contain open educational resources or online courses
    Science media, e.g., newspapers, researcher blogs, other science channels
  • Public Sector Information (i.e., open government data) to identify links between research and public sectors) through OpenAIRE’s Linked Open Data
  • Crowdsourcing to allow users to interact with the OpenAIRE data to enhance/improve the underlying scholarly communication graph (consider use of OpenAIRE AAI where applicable).
Gamifying open science
Additionally, another suggestion is to visually propose scientific reward strategies based on the connections between publications, software, datasets and other products. Ideally authors should be able to understand the effect of adopting strategies that go beyond IF for publications and take into account the existence of other products of science. For example: 1) ability to reproduce may "raise" the IF value 2) citation to a datasets should be "inherited" by the article describing the dataset.
Intelligent discovery mechanisms
Enhance search mechanisms by exploiting the links between different objects in the OpenAIRE graph
Mechanisms to securely share data (e.g., blockchain)
How could we secure that research data and the ways we share them along with publications, citations are accurate valid? Is the information published in a paper (data and code outputs)  the same as the one linked? Did anyone tried to modify them? These can be ideas to work on, and promote transparency, research provenance, reproducibility, identification of papers and trust.


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