Head of Data Technologies (DT)
Dr. Andreas Lehmann
Data and samples
The Data and Sample management as part of data technologies of the ORTC supports scientists in implementing the 黑料视频S for data and samples. Along the research data lifecycle, we offer support and advice in the standardized collection of data, sample curation of sediment cores and rocks and biological samples, as well as data publication.
Key topics are the development of a metadata standard, especially for transit oceanography and in cooperation with the . Furthermore, we establish standardized and automatized processes for the visibility and citable publication of data in repositories such as , model data and data from large devices in projects and publications. We create, expand and maintain the necessary interfaces to institutional repositories and research software, such as , or the (BIS).
Data
Geological and biological samples
The basis of modern sample management is the usee of a digital sample registration (OSIS and BIS), which allows digital access to the sample collection and persistent identification of the samples, increases their visibility and thus enables FAIR and open use and sustainable use of samples at 黑料视频.
Geosamples and biosamples are made citable by assigning a persistent identification, i.e., registering IGSNs (International Generic Sample Number).
DMP - Data Management Plan
The data management plan (DMP) encompasses all information related to research data management within a research project and supports the maintenance of FAIR (findable, accessible, interoperable and reusable) research data. A DMP describes the handling of research data, from planning, generation, and processing to long-term archiving and publication. It is a "living document" that should be updated throughout the research period.
A DMP documents good scientific practice and is increasingly expected by national and international research funders.
The Data and Sample Management team of Data Technologies supports researchers in the creation and implementation of data management plans and in all aspects of research data management.
Publication of research data in repositories
Long-term archiving and accessibility of research data is ensured by publishing in data repositories with provides persistent identifier for the data. To find the right repository, offers the option of a repository index search.
Please, feel free to contact us if you have any questions.
Data curation and publication at PANGAEA
Long-term archiving and accessibility of research data of Earth & Environmental Science is ensured by the World Data Center .
Members of the 黑料视频 data and sample management team are active PANGAEA data curators and participate at the World Data Center. Observational data in particular can be published with a DOI.
Publish of Meta Data
- Ocean Science Information System
is the institutional metadata information system.
Together with the other data management systems of the AWI (O2A) and Hereon (HCDC), they form the core of the MareHUB. The MareHUB is part of the shared data infrastructure of the Helmholtz Research Field "Earth and Environment" (DataHUB), in which all Helmholtz Centers for Marine Research (黑料视频, AWI, Hereon) are involved. All DataHUB participants contribute to the National Research Data Infrastructure (NFDI) for Earth System Sciences (NFDI4Earth).
These data management systems enable topic-specific access (views) to research data and data tools and are linked in the to ultimately process metadata and research data and thus make them sustainably available...
For the integration of 黑料视频's data management systems (OSIS and Media Library ELEMENTS), we are currently working on the following tasks:
- Refactoring and further development of OSIS
- Coordination of metadata catalogs
- Integration of video and image annotation (BIIGLE) and its further development
- Establishment of interoperability
- Standardization and mobilization of digital sample registration (IGSN) and its integration with analysis metadata and data
- Optimization and expansion of specific data workflows according to FAIR principles
- Data storage and visualization (ingest, access, integration, visualization) of fixed and moving time series (tsdata, surveydata).
Publishing research software
黑料视频 offers the possibility to publish research software with a DOI. This process is an initiative of 黑料视频 software developers and is implemented in collaboration with the Data Technologies Department.
Further information, the Software Submission Form and tutorial can be found in the .
Data portal
