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ERC-EuropePMC-2-2014

Extracting funding statements from full text research articles in the life sciences

Total Cost €

EC-Contrib. €

Partnership

Views

Outcomes and
results

ERC-EuropePMC-2-2014 project word cloud

Explore the words cloud of the ERC-EuropePMC-2-2014 project. It provides you a very rough idea of what is the project "ERC-EuropePMC-2-2014" about.

feasibility published accurate full grant mining quality linking funders staff erc anticipating explore scientific source pubmed articles schemes sources solution structured outcomes website altogether article search ideally statements journal standard stages idea ercea submission made basis central relationship routine strategy associations browse critical backlog sporadically reports consultation manuscript later lost recording

Project "ERC-EuropePMC-2-2014" data sheet

The following table provides information about the project.

Coordinator	EUROPEAN MOLECULAR BIOLOGY LABORATORY Organization address address: Meyerhofstrasse 1 city: HEIDELBERG postcode: 69117 website: http://www.embl.de contact info title: n.a. name: n.a. surname: n.a. function: n.a. email: n.a. telephone: n.a. fax: n.a.
Coordinator Country	Germany [DE]
Project website	http://europepmc.org
Total cost	60˙000 €
EC max contribution	60˙000 € (100%)
Programme	1. H2020-EU.1.1. (EXCELLENT SCIENCE - European Research Council (ERC))
Code Call	H2020-Adhoc-2014-20
Funding Scheme	ERC-LVG
Starting year	2014
Duration (year-month-day)	from 2014-09-01 to 2015-08-31

Partnership

Take a look of project's partnership.

#	participants	country	role	EC contrib. [€]
1	EUROPEAN MOLECULAR BIOLOGY LABORATORY EUROPEAN MOLECULAR BIOLOGY LABORATORY Organization address address: Meyerhofstrasse 1 city: HEIDELBERG postcode: 69117 website: http://www.embl.de contact info title: n.a. name: n.a. surname: n.a. function: n.a. email: n.a. telephone: n.a. fax: n.a.	DE (HEIDELBERG)	coordinator	60˙000.00

Map

Project objective

In support of the ERC open access strategy, it is critical for the ERC to identify published scientific articles that have been based on its funding schemes, in order to assess the impact of the research supported. Currently, the relationship between funding source and article is made only sporadically, years later in end-of-grant reports, or lost altogether, as there is no structured method for recording these associations.

Ideally, the funding source should be identified as part of journal manuscript submission processes, however, this idea is currently in its very early stages and will not address the backlog of articles already published. Therefore, we propose to use text-mining methods to identify funding statements in full text articles available in Europe PubMed Central as an accurate and cost-effective solution to linking articles to funding sources. We will assess the outcomes through standard text-mining quality-assessment methods as well as through consultation with ERCEA staff. Anticipating useful outcomes, we will use the methods developed to identify ERC-funded articles in Europe PubMed Central on a routine basis, and make those results available in the search and article browse features on the Europe PubMed Central website. Finally, we will explore the feasibility of extending the approach to other Europe PubMed Central funders.

Deliverables

List of deliverables.
Algorithm for extraction of ERC funding statements	Documents, reports	2019-07-22 14:59:37
Incorporation of algorithm into Europe PMC processes and ERC funding statements visible on Europe PMC website.	Demonstrators, pilots, prototypes	2019-07-22 14:59:37

Take a look to the deliverables list in detail: detailed list of ERC-EuropePMC-2-2014 deliverables.

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The information about "ERC-EUROPEPMC-2-2014" are provided by the European Opendata Portal: CORDIS opendata.