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Data Corpora for Artificial Intelligence

Deutsche Forschungsgemeinschaft (DFG)

The DFG is supporting the development of data corpora for training artificial intelligence (AI)

The DFG’s Committee on Scientific Library Services and Information Systems (AWBI) is responding to needs identified by the research community in connection with the Call for Ideas to Support AI in Research through Information Infrastructures(interner Link). This call invites proposals for projects aimed at preparing and providing data as a foundation for the development or advancement of AI in research.

Background

Methods used in the context of artificial intelligence – such as machine learning (ML) and text and data mining (TDM) – are becoming increasingly relevant in many areas of digital research practice and in the provision of scientific information. Such methods are used to analyse and process large volumes of data, for instance, as well as for language processing and generation. The development and use of these methods rely on a wide range of multimodal data types, such as factual data, measurement data, behavioural data, monolingual and multilingual texts, image data, synthetic data, digitisation and indexing data. The quality and availability of these data types can vary significantly, and their aggregation and cleansing often require considerable effort. As such, there is a need within the research community for systematically prepared, curated, annotated and aggregated data corpora.

Objectives of the Call for Proposals

This call aims to support the establishment and development of high-quality, extensive data corpora that can serve as a robust and reliable foundation for the development/advancement and application of AI methods in research. The future use of methods and applications based on the funded corpora may take place both in research and within scientific information infrastructures. The quality, scope and composition of the corpora must be tailored to the relevant needs and must enable research beyond individual projects or locations, or contribute to improving the provision of scientific information. The data corpora should be provided in accordance with established principles and standards (such as FAIR and CARE) and via existing information infrastructures, in particular the National Research Data Infrastructure (NFDI).

Scope of Funding

The purpose of funding is to support the compilation and extension of data corpora for AI. Projects may also include the following aspects:

conception of selection and quality criteria, implementation of quality assurance measures
reuse, adaptation and in particular application of data cleansing, aggregation, annotation, curation and harmonisation procedures
provision of the compiled or extended data corpus accessible through existing scientific information infrastructures

Specialties

Artificial Intelligence

Eligibility Requirements

Proposals must be submitted in English so as to enable international review. Proposals must be structured in accordance with the Proposal Preparation Instructions – Project Proposals in the Area of Scientific Library Services and Information Systems (DFG form 12.01(interner Link)). In addition, applicants must also consider the specific details of this call and the Guidelines and Supplementary Instructions (DFG form 12.14)(interner Link)relating to the “Information Infrastructures for Research Data” funding programme

Eligible Countries:

Germany

Sponsor Details

Sponsor Institute/Organizations: Deutsche Forschungsgemeinschaft (DFG)

Sponsor Type: Corporate/Non-Profit

Address: German Research Foundation Kennedyallee 40 53175 Bonn, Germany Telephone: +49 (228) 885-1 Telefax +49 (228) 885-2777

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