RDM4Mic

RDM4Mic was initiated in 2019 and deals with the topic of research data management for microscopy. During regular meetings, strategies for image data management, requirements for resources to establish a image data management system as well as available software, tools and worksflows are discussed.

(text is taken from the official website)

Resources on RDM for microscopy data

The German BioImaging constortium provides detailed information about RDM for microscopy.

Click the link below for more information:

• GerBi Website: https://gerbi-gmb.de/
• Gerbi Team Image Data Analysis and Management
• RDM4Mic Website
• RDM4Mic on Github (find presentations, scripts & templates)
• Minimal annotation standard for Microscopy Images

NFD4BIOIMAGE

NFDI4BIOIMAGE is a candidate consortium in the national research data infrastructure (Nationale Forschungsdateninfrastruktur, NFDI) in Germany. Our focus is on all steps of the research data life cycle for microscopy and bioimage analysis. 

Aims of the NFDI4BIOIMAGE initiative

NFDI4BIOIMAGE will strive to provide scientists from all natural science and biomedical research fields with workable and trusted solutions to handle the ever-increasing amount of bioimage data from the various (light) microscopy techniques and related biophotonic technologies. Bioimaging data should thus be in accordance with the FAIR principles, i.e., be Findable, Accessible, Interoperable, and Re-Usable. Increasing data accessibility and re-usability will advance bioimage informatics, the scientific discipline devoted to quantitative analysis and software-aided knowledge extraction from bioimage data.

Objectives

To achieve the aims, NFDI4BIOIMAGE will realize the following objectives:
• Standardization: data acquisition, metadata, file formats, (meta)data models, ontologies, annotation tools, data provenance
• Storage concepts and open repositories: access and submission requirements, capacity, long-term vs. short-term, distributed vs. centralized, data flows
• Data integration: combination with -omics data and other discipline-specific data types, integrative dataset queries, interoperability, interfaces
• Bioimage informatics tool development: bioimage analysis, automated AI-based bioimage analysis pipelines, workflow management and reproducibility, interoperability of analysis tools, statistics, and modeling
• Education: training, workshops, online tools, open educational formats
• Networking: international harmonization, knowledge exchange, connection to other NFDI consortia and non-NFDI RDM-initiatives

(text is taken from the official website)

Get involved with the NFDI4BIOMAGE