The DATA division of the Computing and Data Centre of the Alfred Wegener Institute is responsible for the publication of data products from environmental research and the research infrastructures, such as research vessels, observatories and stations. We provide services and support data workflows, software tools and data science.

Contact: data@awi.de

We are your partner when it comes to your data projects both at AWI and in your environmental research community, e.g. the German Marine Research Alliance (DAM). We support you with data science and logistics, software development, data analytics and publication.

• Data Science
• Bioinformatics
• Geo Data Science
• Data Logistics
• Data Workshops
• Machine and Deep Learning
• Data Publication and long-term archiving

Contact: o2a-support@awi.de and info@pangaea.de

Use our tools for a seamless data management approach in your project.

We are offering workshops covering the wide range of data applications around the whole data lifecycle including data management, publication and data science. We look forward to seeing you there!

Explore our Data Workshops

Data Logistics Support

The Data Logistics Support (DLS) group provides services to transfer raw data from measuring devices including high volume data from research vessels and sensor networks to the AWI's central storage and archive systems. We support mobile systems as well as laboratory equipment and permanently installed devices on board our research platforms. For example, data can be transferred in near real time by satellite from the Antarctic or after an expedition on mobile data carriers.

Learn more about Data Logistics Support

Data Science Support

The Data Science Support Group (DSS) focuses on several key areas: bio and geo data science, data analysis, pattern recognition, artificial intelligence, machine learning, and bioinformatics (multiomics, single-cell analysis, metabarcoding). Leveraging our extensive expertise in AI and machine learning algorithms, we efficiently process large and computationally intensive datasets from the field of biology or geology.

Learn more about Data Science Support

Software Engineering

The Software Engineering (SE) group develops infrastructure components and systems for scientific data management and core compute services. Following agile principles during the development process and are flexible in coping with new requirements from science. As an integrative DevOps team, we are also maintaining and running developed applications.

Learn more about Software Engineering

PANGAEA

The PANGAEA group provides essential services for scientific project data management, long-term data archiving and preservation, data publication, and dissemination of quality approved metadata according to the FAIR data principles. Every dataset published is fully citable including a persistent unique Digital Object Identifier (DOI).

Learn more about the PANGAEA group and visit PANGAEA

Head
Prof. Dr. Frank Oliver Glöckner

Deputy Head
Dr. Angela Schäfer

Data Logistics Support
Sebastian Immoor

Data Science Support
Dr. Sonja Hänzelmann

PANGAEA
Dr. Janine Felden

Software Engineering
Dr. Roland Koppe

The O2A Data Flow Framework is a generic and sustainable framework that enables the seamless flow of sensor observations to archives and analyses. This framework builds on the international OGC standards for metadata and data interoperability. O2A is designed to help scientists focus on the development of improved data products and facilitate the reuse of data. The O2A Data Flow Framework consists of several modular and extensible components. Learn more about O2A at https://o2a-data.de