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BB-02-2017
BB-02-2017: Towards a method for the collection of statistical data on bio-based industries and bio-based products
Specific Challenge:As compared to bioeconomy sectors such as food-chain or bioenergy which keep hold of consolidated official statistics, there is a current lack of reliable and uniform ones on bio-based industries and bio-based products. In spite of progress made by the European Bioeconomy Observatory and other initiatives to gather data on the use of biomass for bio-based products, the following hurdles are still laying ahead to reach a widespread data availability: (i) There is lack of a comprehensive database with statistics for industrial uses of biomass from primary and secondary sources, (ii) The flow from raw materials to end products cannot be inferred from existing databases, (iii) There is insufficient comparability between different databases, (iv) Methodologies for data collection are not always transparent and existing data rely to a large extent on industry surveys and estimations of experts. This data gap hinders the development of economic models enabling the quantification of the bioeconomy and its economic, environmental and social effects. In turn, it has a negative effect on the ability of policy-makers to set the most appropriate policies to encourage investment in the bioeconomy in view of factors such as competition/synergies and possible trade-offs between various biomass uses.
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Esta ayuda financia Proyectos: Objetivo del proyecto:

Specific Challenge:As compared to bioeconomy sectors such as food-chain or bioenergy which keep hold of consolidated official statistics, there is a current lack of reliable and uniform ones on bio-based industries and bio-based products. In spite of progress made by the European Bioeconomy Observatory and other initiatives to gather data on the use of biomass for bio-based products, the following hurdles are still laying ahead to reach a widespread data availability: (i) There is lack of a comprehensive database with statistics for industrial uses of biomass from primary and secondary sources, (ii) The flow from raw materials to end products cannot be inferred from existing databases, (iii) There is insufficient comparability between different databases, (iv) Methodologies for data collection are not always transparent and existing data rely to a large extent on industry surveys and estimations of experts. This data gap hinders the development of economic models enabling the quantification of the bioeconomy and its economic, environmental and social effects. In turn, it has a negative effect on the ability of policy-makers to set the most appropriate policies to encourage investme... ver más

Specific Challenge:As compared to bioeconomy sectors such as food-chain or bioenergy which keep hold of consolidated official statistics, there is a current lack of reliable and uniform ones on bio-based industries and bio-based products. In spite of progress made by the European Bioeconomy Observatory and other initiatives to gather data on the use of biomass for bio-based products, the following hurdles are still laying ahead to reach a widespread data availability: (i) There is lack of a comprehensive database with statistics for industrial uses of biomass from primary and secondary sources, (ii) The flow from raw materials to end products cannot be inferred from existing databases, (iii) There is insufficient comparability between different databases, (iv) Methodologies for data collection are not always transparent and existing data rely to a large extent on industry surveys and estimations of experts. This data gap hinders the development of economic models enabling the quantification of the bioeconomy and its economic, environmental and social effects. In turn, it has a negative effect on the ability of policy-makers to set the most appropriate policies to encourage investment in the bioeconomy in view of factors such as competition/synergies and possible trade-offs between various biomass uses.


Scope:Proposals shall develop and implement a method for the collection of data on bio-based products, taking into consideration the incorporation of the data in the European statistical infrastructure (Eurostat), building on and contributing to on-going activities on exemplary bio-based products (Bio-based Succinic Acid & 1,4-Butandiol, lubricants). The following aspects will represent the framework for developing the proposals: (1) links with current CEN standardisation work on bio-based products; (2) training support or technical inputs to official customs and competent laboratory staff in Member States and to relevant activities within the existing programmes such as Customs 2020 and European Union Customs Competency Framework (EU Customs CFW); (3) definition of the minimum bio-based carbon and/or bio-based content for some bio-based product groups (except bio-based lubricants); (4) data compatibility with European and international databases (e.g. FAOSTAT, PSD, etc.). Data generated should be fed into economic models, existing or newly developed, enabling the description of the development of the bioeconomy, its interaction with the rest of the economy, and its economic, environmental and social impact. Consortia should include a balanced combination of expertise on bio-based products, statistical reporting from Member States and modelling. Proposals should build upon the existing work of completed and on-going projects, including the current activities of the Bioeconomy Observatory, RRM-Group as well as the Commission study on Biomass Supply and Demand.

The Commission considers that proposals requesting a contribution from the EU of up to EUR 6 million would allow this specific challenge to be addressed appropriately. Nonetheless, this does not preclude the submission and selection of proposals requesting other amounts.


Expected Impact:As a step forward in setting the most appropriate policies to encourage investment in the bioeconomy and defining possible trade-offs between various biomass uses, proposals will have to achieve:

An implementation of an EU framework for the collection of data pertinent to bio-based products including disaggregated product-level statistics enabling the systematic monitoring of the evolution of bio-based product markets. The development of statistics and modelling tools providing decision-makers with the capacity to monitor bioeconomy developments and formulate clear targets and consider future impacts of present-day decisions, in particular in relation to establishing an efficient strategy for biomass use in the EU. Contribution to interoperability activities (e.g. bioeconomy related models, database interface specifications). Demonstrate direct benefits to the bio-based industries in the form of an enhanced capacity to provide evidence of these industries’ economic, environmental and social impact in quantitative terms.
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Temáticas Obligatorias del proyecto: Temática principal:

Características del consorcio

Ámbito Europeo : La ayuda es de ámbito europeo, puede aplicar a esta linea cualquier empresa que forme parte de la Comunidad Europea.
Tipo y tamaño de organizaciones: El diseño de consorcio necesario para la tramitación de esta ayuda necesita de:

Características del Proyecto

Requisitos de diseño: Duración:
Requisitos técnicos: Specific Challenge:As compared to bioeconomy sectors such as food-chain or bioenergy which keep hold of consolidated official statistics, there is a current lack of reliable and uniform ones on bio-based industries and bio-based products. In spite of progress made by the European Bioeconomy Observatory and other initiatives to gather data on the use of biomass for bio-based products, the following hurdles are still laying ahead to reach a widespread data availability: (i) There is lack of a comprehensive database with statistics for industrial uses of biomass from primary and secondary sources, (ii) The flow from raw materials to end products cannot be inferred from existing databases, (iii) There is insufficient comparability between different databases, (iv) Methodologies for data collection are not always transparent and existing data rely to a large extent on industry surveys and estimations of experts. This data gap hinders the development of economic models enabling the quantification of the bioeconomy and its economic, environmental and social effects. In turn, it has a negative effect on the ability of policy-makers to set the most appropriate policies to encourage investment in the bioeconomy in view of factors such as competition/synergies and possible trade-offs between various biomass uses. Specific Challenge:As compared to bioeconomy sectors such as food-chain or bioenergy which keep hold of consolidated official statistics, there is a current lack of reliable and uniform ones on bio-based industries and bio-based products. In spite of progress made by the European Bioeconomy Observatory and other initiatives to gather data on the use of biomass for bio-based products, the following hurdles are still laying ahead to reach a widespread data availability: (i) There is lack of a comprehensive database with statistics for industrial uses of biomass from primary and secondary sources, (ii) The flow from raw materials to end products cannot be inferred from existing databases, (iii) There is insufficient comparability between different databases, (iv) Methodologies for data collection are not always transparent and existing data rely to a large extent on industry surveys and estimations of experts. This data gap hinders the development of economic models enabling the quantification of the bioeconomy and its economic, environmental and social effects. In turn, it has a negative effect on the ability of policy-makers to set the most appropriate policies to encourage investment in the bioeconomy in view of factors such as competition/synergies and possible trade-offs between various biomass uses.
¿Quieres ejemplos? Puedes consultar aquí los últimos proyectos conocidos financiados por esta línea, sus tecnologías, sus presupuestos y sus compañías.
Capítulos financiables: Los capítulos de gastos financiables para esta línea son:
Personnel costs.
Los costes de personal subvencionables cubren las horas de trabajo efectivo de las personas directamente dedicadas a la ejecución de la acción. Los propietarios de pequeñas y medianas empresas que no perciban salario y otras personas físicas que no perciban salario podrán imputar los costes de personal sobre la base de una escala de costes unitarios
Purchase costs.
Los otros costes directos se dividen en los siguientes apartados: Viajes, amortizaciones, equipamiento y otros bienes y servicios. Se financia la amortización de equipos, permitiendo incluir la amortización de equipos adquiridos antes del proyecto si se registra durante su ejecución. En el apartado de otros bienes y servicios se incluyen los diferentes bienes y servicios comprados por los beneficiarios a proveedores externos para poder llevar a cabo sus tareas
Subcontracting costs.
La subcontratación en ayudas europeas no debe tratarse del core de actividades de I+D del proyecto. El contratista debe ser seleccionado por el beneficiario de acuerdo con el principio de mejor relación calidad-precio bajo las condiciones de transparencia e igualdad (en ningún caso consistirá en solicitar menos de 3 ofertas). En el caso de entidades públicas, para la subcontratación se deberán de seguir las leyes que rijan en el país al que pertenezca el contratante
Amortizaciones.
Activos.
Otros Gastos.
Madurez tecnológica: La tramitación de esta ayuda requiere de un nivel tecnológico mínimo en el proyecto de TRL 5:. Los elementos básicos de la innovación son integrados de manera que la configuración final es similar a su aplicación final, es decir que está listo para ser usado en la simulación de un entorno real. Se mejoran los modelos tanto técnicos como económicos del diseño inicial, se ha identificado adicionalmente aspectos de seguridad, limitaciones ambiéntales y/o regulatorios entre otros. + info.
TRL esperado:

Características de la financiación

Intensidad de la ayuda: Sólo fondo perdido + info
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Please read carefully all provisions below before the preparation of your application.
 
List of countries and applicable rules for funding: described in part A of the General Annexes of the General Work Programme.
Note also that 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 (follow the links to Australia, Brazil, Canada, China, Hong Kong & Macau, India, Japan, Republic of Korea, Mexico, Russia, Taiwan).
 
Eligibility and admissibility conditions: described in part B and C of the General Annexes of the General Work Programme
Proposal page limits and layout: Please refer to Part B of the standard proposal template.
 
Evaluation
3.1  Evaluation criteria and procedure, scoring and threshold: described in part H of the General Annexes of the General Work Programme
3.2 Submission and evaluation process: Guide to the submission and evaluation process
      
Indicative timetable for evaluation and grant agreement:
Information on the outcome of single-stage evaluation: maximum 5 months from the deadline for submission.
Signature of grant agreements: maximum 8 months from the deadline for submission.
Information on the outcome of two-stage evaluation: Please read carefully all provisions below before the preparation of your application.
 
List of countries and applicable rules for funding: described in part A of the General Annexes of the General Work Programme.
Note also that 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 (follow the links to Australia, Brazil, Canada, China, Hong Kong & Macau, India, Japan, Republic of Korea, Mexico, Russia, Taiwan).
 
Eligibility and admissibility conditions: described in part B and C of the General Annexes of the General Work Programme
Proposal page limits and layout: Please refer to Part B of the standard proposal template.
 
Evaluation
3.1  Evaluation criteria and procedure, scoring and threshold: described in part H of the General Annexes of the General Work Programme
3.2 Submission and evaluation process: Guide to the submission and evaluation process
      
Indicative timetable for evaluation and grant agreement:
Information on the outcome of single-stage evaluation: maximum 5 months from the deadline for submission.
Signature of grant agreements: maximum 8 months from the deadline for submission.
Information on the outcome of two-stage evaluation:
      For stage 1: maximum 3 months from the deadline for submission.
      For stage 2: maximum 5 months from the deadline for submission.
Signature of grant agreements: maximum 8 months from the deadline for submission.
 
Provisions, proposal templates and evaluation forms for the type(s) of action(s) under this topic:
Research and Innovation Action:
Specific provisions and funding rates
Standard proposal template
Standard evaluation form
H2020 General MGA -Multi-Beneficiary
Annotated Grant Agreement
 
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.
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
Further information on the Open Research Data Pilot is made available in the H2020 Online Manual.
 
7. Additional provisions:
Horizon 2020 budget flexibility
Technology readiness levels (TRL) – where a topic description refers to TRL, these definitions apply.
Financial support to Third Parties – where a topic description foresees financial support to Third Parties, these provisions apply.
8. Additional documents
 
H2020 Work Programme 2016-17: Introduction
H2020 Work Programme 2016-17: Food security, sustainable agriculture and forestry, marine and maritime and inland water research and the bioeconomy
H2020 Work Programme 2016-17: Dissemination, Exploitation and Evaluation
H2020 Work Programme 2016-17: General Annexes
Legal basis: Horizon 2020 - Regulation of Establishment
Legal basis: Horizon 2020 Rules for Participation
Legal basis: Horizon 2020 Specific Programme
 
Garantías:
No exige Garantías
No existen condiciones financieras para el beneficiario.

Información adicional de la convocatoria

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