TOPIC : Using big data approaches in research and innovation policy making
|Publication date:||27 October 2017|
|Types of action:||RIA Research and Innovation action|
|DeadlineModel: Opening date:||single-stage 06 November 2018||Deadline:||14 March 2019 17:00:00|
|Time Zone : (Brussels time)|
Topic DescriptionSpecific Challenge:
To exploit the potential of big data approaches for research and innovation policy making by providing more timely and in depth information on the performance of the research and innovation system and its links to productivity growth.Scope:
Many of the advanced economies have, since the crisis, been faced with a productivity paradox: while the pace of innovation continues to accelerate, productivity growth has come to a quasi-standstill. The reasons for this have been the subject of intense debate over the past years and evidence increasingly points to the importance of the links between productivity growth and research and innovation. Seminal work by the OECD has pointed to the importance of technology diffusion in this respect, which could also be linked to the changing nature of the innovation process itself, which is going through profound changes, with notably digitalisation leading to increasing complexity, stronger networking effects and a growing importance of winner takes all characteristics.
If research and innovation policy making is to adapt to this rapidly changing environment in an evidence based manner, it needs solid and timely data to support its decisions and it is becoming increasingly clear that official statistics, if relying on traditional sources, cannot continue to provide a full picture of all the dynamics of today's research and innovation systems. However, in today's increasingly digitalised world, alternative sources of data have being emerging exponentially, generated by the use of information and communication technologies and their diffusion through the web. This includes, for instance, information contained in company websites, social media posts, but also increasingly databases being made available by e.g. governments. Such data sources, commonly known as big data, have the advantage of being widely available in a timely manner, have the potential of being able to cover a variety of aspects of research and innovation performance, allow to provide information at a more granular level and examine in a better way social interactions, all of which is not possible through the indicators currently provided by official statistics.
Proposals should aim at exploiting the potential of big data to produce information on research and innovation activity, performance, output and/or impact which has the potential to be available in real time, focusing notably on research and innovation investments in the private sector, public-private cooperation and technology diffusion between private actors. Proposals should also take into account aspects of data accuracy and data security.
The Commission considers that proposals requesting a contribution from the EU in the order of EUR 1 million would allow this specific challenge to be addressed appropriately. Nonetheless, this does not preclude submission and selection of proposals requesting other amounts.Expected Impact:
The outcomes of the Research and Innovation Actions are expected to provide research and innovation policy making with more timely and diverse data on research and innovation activity, performance, output and/or impact.
Topic conditions and documents
1. Eligible countries: described in Annex A of the Work Programme.
A number of non-EU/non-Associated Countries that are not automatically eligible for funding have made specific provisions for making funding available for their participants in Horizon 2020 projects. See the information in the Online Manual.
Proposal page limits and layout: please refer to Part B of the proposal template in the submission system below.
- Evaluation criteria, scoring and thresholds are described in Annex H of the Work Programme.
- Submission and evaluation processes are described in the Online Manual.
4. Indicative time for evaluation and grant agreements:
Information on the outcome of evaluation (single-stage call): maximum 5 months from the deadline for submission.
Signature of grant agreements: maximum 8 months from the deadline for submission.
5. Proposal templates, evaluation forms and model grant agreements (MGA):
Research and Innovation Action:
6. Additional provisions:
Members of consortium are required to conclude a consortium agreement, in principle prior to the signature of the grant agreement.
8. Additional documents:
7. Open access must be granted to all scientific publications resulting from Horizon 2020 actions.
Where relevant, proposals should also provide information on how the participants will manage the research data generated and/or collected during the project, such as details on what types of data the project will generate, whether and how this data will be exploited or made accessible for verification and re-use, and how it will be curated and preserved.
Open access to research data
The Open Research Data Pilot has been extended to cover all Horizon 2020 topics for which the submission is opened on 26 July 2016 or later. Projects funded under this topic will therefore by default provide open access to the research data they generate, except if they decide to opt-out under the conditions described in Annex L of the Work Programme. Projects can opt-out at any stage, that is both before and after the grant signature.
Note that the evaluation phase proposals will not be evaluated more favourably because they plan to open or share their data, and will not be penalised for opting out.
Open research data sharing applies to the data needed to validate the results presented in scientific publications. Additionally, projects can choose to make other data available open access and need to describe their approach in a Data Management Plan.
Projects need to create a Data Management Plan (DMP), except if they opt-out of making their research data open access. A first version of the DMP must be provided as an early deliverable within six months of the project and should be updated during the project as appropriate. The Commission already provides guidance documents, including a template for DMPs. See the Online Manual.
Eligibility of costs: costs related to data management and data sharing are eligible for reimbursement during the project duration.
The legal requirements for projects participating in this pilot are in the article 29.3 of the Model Grant Agreement.
LEARs, Account Administrators or self-registrants can publish partner requests for open and forthcoming topics after logging into the Participant Portal.
To access the Electronic Sumission Service, please click on the submission-button next to the type of action that corresponds to your proposal. You will then be asked to confirm your choice of the type of action and topic, as these cannot be changed in the submission system. Upon confirmation, you will be linked to the correct entry point.
To access existing draft proposals for this topic, please login to the Participant Portal and select the My Proposals page of the My Area section.
|Type of Action||Research and Innovation action [RIA]|
|Topic||Using big data approaches in research and innovation policy making - TRANSFORMATIONS-13-2019|
|Guidance on proposal submission:||H2020 online manual|
H2020 Online Manual is your guide on the procedures from proposal submission to managing your grant.
Participant Portal FAQ – Submission of proposals.
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