Involved Consortia

NFDI4Agri: National Research Data Infrastructure for Agricultural Sciences

Agriculture is central to all people. One focus of agricultural research is on ensuring food security through resource-efficient, sustainable food production. Among various disciplines, high diversity of data is generated in agricultural research in terms of content. In agricultural field measurements, data is collected to describe the physical condition and development of plants as a function of soil, management and climate.

Agricultural research data originating from laboratory analysis, landscape monitoring, sequencing, breeding, phenotyping, spectrophotometer measurements, remote sensing, economic market data or modelling results and is usually both, spatial and temporal referenced as geodata (e.g. soil maps) or time series (e.g. yield data). Additionally, data from agricultural research have to deal with sensitive information about landowners’ areas and aspects of data protection must be considered.

As a result of increasing use of sensor technology and the upcoming digitization in agriculture (Farming 4.0), the production of spatially and/or temporally high-resolution data increases considerably. The NFDI4Agri approach meet the needs of the agricultural research community and connect agricultural disciplinary repositories and, hence, make publicly funded and yet isolated research data inter- and transdisciplinary available and thus reusable.

Further information: https://www.nfdi4agri.de/

NFDI4BioDiversity: National Research Data Infrastructure for Biodiversity, Ecology and Environmental Data

Biodiversity is more than just the diversity of living species. It includes genetic and phenotypic diversity of organisms, functional diversity, interactions and the diversity of populations and whole ecosystems. Mankind continues to dramatically impact the earth’s ecosystem which is the foundation of human well-being. A general understanding of the status, trends, and drivers of biodiversity on earth is urgently needed to determine management options and devise conservation responses.

Answers to scientifically and socially relevant questions can only be found following the FAIR data principles, open science and through availability of data integrated from multiple sources. As digitalization and liberation of data proceeds, NFDI4BioDiversity will foster community standards, data management as an integral part of research and documentation as well as the harmonization and synthesis of heterogeneous data. It will pro-actively engage the user community to build a coordinated data management platform for all types of biodiversity data as a dedicated added value service for all users of NFDI.

Further information: https://www.nfdi4biodiversity.org/

Prevoius events: Community Workshop NFDI4BioDiversity, Leipzig, June 6-7, 2019

NFDI4Health: National Research Data Infrastructure for Personal Health Data

Access to detailed information on a large and unselected number of patients is pivotal to advance patient stratification, to support personalized medicine, find new therapy options and to improve patient care. In Germany, there exist a high number of different health data resources such as clinical, epidemiological or public health studies distributed over various research institutions and public authorities.

Access to and use of this data is restricted by data protection laws due to the legitimate interests of the study subjects. Besides these important restrictions, access to research data is still hampered mainly by missing interoperability of data types, poor data linkage opportunities, and the lack of protected data sharing environments and settings, which would allow automatic access to data.

In the interest of improving population health through better and broader data re-use in Germany, we map out a national research strategy focusing on personal health data. Main objectives are (1) the implementation of a federated health data infrastructure in Germany for searching and accessing health care data and health databases, (2) to enhance data sharing and data linkage of personal health data in compliance with privacy regulations and ethics principles, (3) to enable the development and deployment of new consent management mechanisms and augmented data access services, and (4) to foster data sharing and cooperation between clinical research, epidemiological and public health communities.

Contact for further information:
Prof. Dr. Juliane Fluck (ZB MED – Information Centre for Life Sciences)
e-Mail: fluck@zbmed.de

Prof. Dr. Iris Pigeot (Leibniz Institute for Prevention Research and Epidemiology – BIPS)
e-Mail: pigeot@leibniz-bips.de

Further information: https://www.nfdi4health.de/

Previous events: Community Workshop NFDI4Health, Cologne, June 25, 2019

NFDI4Microbiome: National Research Data Infrastructure for Microbiome Research

A large fraction of existing microorganisms is associated with plants, animals, and human beings, where they typically exert essential functions. However, the complexity of these microorganisms and their symbiotic interactions is yet poorly understood. Microbiota (including viruses) have a strong impact on many aspects of human life, starting from health to ecologically relevant processes. The biggest challenge in the understanding of microbiota lies in the complexity of numerous biotic interactions between the specific strains of a microbiota and their abiotic environmental factors. Mapping and deciphering those molecular interactions and the underlying regulatory mechanisms is a crucial step towards an understanding and usage of microbiota.

NFDI4Microbiome will assist researchers with different scientific challenges to understand microbial communities and the interaction between the species in them. For this purpose the consortium will provide the computational infrastructure as well as analytical tools for the community to compile, analyze and store various types of data with the aim to decipher the interspecies interactions on a molecular level.

The consortium will enable efficient and reproducible processing of metagenomes, meta-transcriptomes, meta-proteomes and meta-metabolomic information as well as of data from single cell sequencing. It will enrich this data by metadata from databases and by knowledge automatically extracted from literature and make the data interoperable. The increased understanding of microbiota interactomes and bacterial interspecies interactions facilitated by this infrastructure will be beneficial for biotechnology, agriculture, ecology, and medicine.

Contact for further information:
Prof. Dr. Konrad Förstner (ZB MED – Information Centre for Life Sciences)
e-Mail: foerstner@zbmed.de

NFDI4NutEpi: National Research Data Infrastructure for Nutritional Epidemiology

The overall goal of NFDI4NutEpi is to establish a national data infrastructure that will facilitate population research on dietary factors in the aetiology of health related out-comes on population level. We aim to develop mechanisms for identification and classification of studies and the data that they hold, create mechanisms for harmonization data related to dietary intake and develop infrastructures for optimizing the use of existing data for the study of dietary factors in epidemiological studies.

Our focus will be strongly on the diet-related data and information in existing structures and studies. The planned research data infrastructure will cover several existing observational studies in Germany with a focus on dietary exposure and thus will provide a comprehensive infrastructure to evaluate scientific questions in relation to past or current status of dietary intake as well as the relation of diet to health outcomes to the broader scientific community in Germany.

It will furthermore strengthen nutritional epidemiologic research by developing harmonization strategies for dietary data documentation as well as analytical tools that ensure best-practice data analyses. Up to now the consortium covers large parts of the existing observational epidemiological studies with dietary data in Germany, including the cohort studies EPIC-Potsdam, EPIC-Heidelberg, DONALD, GINIplus, LISAplus, and the Hamburg City Health Study and cross-sectional studies as NVSII, BVSII and ActiveE. However, it is strived for including further studies.

Contact for further information:
Prof. Dr. Matthias B. Schulze (German Institute of Human Nutrition)
e-Mail: mschulze@dife.de