Session Contribution Rest List
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[ { "title": "Harmonizing NetCDF Metadata Workflows: A Collaborative Initiative for Enhanced Data Integration and Reusability", "url": "/submissions/104", "abstract": "<p>\n To ensure FAIR data (Wilkinson et al., 2016:\n <a href=\"https://doi.org/10.1038/sdata.2016.18\" rel=\"noopener noreferrer\" target=\"_blank\">\n https://doi.org/10.1038/sdata.2016.18\n </a>\n ), well-described datasets with rich metadata are essential for interoperability and reusability. In Earth System Science, NetCDF is the quasi-standard for storing multidimensional data, supported by metadata conventions such as Climate and Forecast (CF,\n <a href=\"https://cfconventions.org/\" rel=\"noopener noreferrer\" target=\"_blank\">\n https://cfconventions.org/\n </a>\n ) and Attribute Convention for Data Discovery (ACDD,\n <a href=\"https://wiki.esipfed.org/Attribute_Convention_for_Data_Discovery_1-3\" rel=\"noopener noreferrer\" target=\"_blank\">\n https://wiki.esipfed.org/Attribute_Convention_for_Data_Discovery_1-3\n </a>\n ).\n</p>\n<p>\n While NetCDF can be self-describing, metadata often lacks compatibility and completeness for repositories and data portals. The Helmholtz Metadata Guideline for NetCDF (HMG NetCDF) Initiative addresses these issues by establishing a standardized NetCDF workflow. This ensures seamless metadata integration into downstream processes and enhances AI-readiness.\n</p>\n<p>\n A consistent metadata schema benefits the entire processing chain. We demonstrate this by integrating enhanced NetCDF profiles into selected clients like the Earth Data Portal (EDP,\n <a href=\"https://earth-data.de\" rel=\"noopener noreferrer\" target=\"_blank\">\n https://earth-data.de\n </a>\n ). Standardized metadata practices facilitate repositories such as PANGAEA (\n <a href=\"https://www.pangaea.de/\" rel=\"noopener noreferrer\" target=\"_blank\">\n https://www.pangaea.de/\n </a>\n ) and WDCC (\n <a href=\"https://www.wdc-climate.de\" rel=\"noopener noreferrer\" target=\"_blank\">\n https://www.wdc-climate.de\n </a>\n ), ensuring compliance with established norms.\n</p>\n<p>\n The HMG NetCDF Initiative is a collaborative effort across German research centers, supported by the Helmholtz DataHub. It contributes to broader Helmholtz efforts (e.g., HMC) to improve research data management, discoverability, and interoperability.\n</p>\n<p>\n Key milestones include:\n</p>\n<ul>\n <li>\n Aligning metadata fields across disciplines,\n </li>\n <li>\n Implementing guidelines,\n </li>\n <li>\n Developing machine-readable templates and validation tools,\n </li>\n <li>\n Supporting user-friendly metadata entry.\n </li>\n</ul>\n<p>\n This presentation outlines key challenges, solutions, and the anticipated impact on the geoscientific community. We will present a first version of NetCDF metadata attribute guidelines and invite you to join this initiative.\n</p>\n", "presentation_type": "Talk", "session": "Metadata", "start": "2025-09-04T09:30:00+02:00", "duration": "00:15:00", "authors": [ { "author": { "first_name": "Romy", "last_name": "Fösig", "orcid": "0000-0002-8162-4354" }, "affiliation": [ "Karlsruhe Institute of Technology" ], "is_presenter": true }, { "author": { "first_name": "Björn", "last_name": "Saß", "orcid": "0000-0002-9331-1195" }, "affiliation": [ "Helmholtz-Zentrum Hereon" ], "is_presenter": false }, { "author": { "first_name": "Sabine", "last_name": "Barthlott", "orcid": "0000-0003-0258-9421" }, "affiliation": [ "Karlsruhe Institute of Technology" ], "is_presenter": false }, { "author": { "first_name": "Klaus", "last_name": "Getzlaff", "orcid": "0000-0002-0347-7838" }, "affiliation": [ "GEOMAR Helmholtz-Zentrum für Ozeanforschung Kiel" ], "is_presenter": false }, { "author": { "first_name": "Tobias", "last_name": "Kerzenmacher", "orcid": null }, "affiliation": [ "Karlsruhe Institute of Technology" ], "is_presenter": false }, { "author": { "first_name": "Dorothee", "last_name": "Kottmeier", "orcid": null }, "affiliation": [ "Alfred-Wegener-Institut - Helmholtz-Zentrum für Polar- und Meeresforschung" ], "is_presenter": false }, { "author": { "first_name": "Katharina", "last_name": "Loewe", "orcid": null }, "affiliation": [ "Karlsruhe Institute of Technology" ], "is_presenter": false }, { "author": { "first_name": "Ulrich", "last_name": "Loup", "orcid": "0009-0005-1370-6226" }, "affiliation": [ "Forschungszentrum Jülich GmbH" ], "is_presenter": false }, { "author": { "first_name": "Christof", "last_name": "Lorenz", "orcid": "0000-0001-5590-5470" }, "affiliation": [ "Karlsruhe Institute of Technology" ], "is_presenter": false }, { "author": { "first_name": "Florian", "last_name": "Obersteiner", "orcid": "0000-0002-7327-8893" }, "affiliation": [ "Karlsruhe Institute of Technology" ], "is_presenter": false }, { "author": { "first_name": "Andrea", "last_name": "Pörsch", "orcid": "0000-0003-4502-6223" }, "affiliation": [ "GFZ German Research Centre for Geosciences" ], "is_presenter": false }, { "author": { "first_name": "Corinna", "last_name": "Rebmann", "orcid": "0000-0002-8665-0375" }, "affiliation": [ "Karlsruhe Institute of Technology" ], "is_presenter": false }, { "author": { "first_name": "Emanuel", "last_name": "Söding", "orcid": "0000-0002-4467-642X" }, "affiliation": [ "GEOMAR Helmholtz-Zentrum für Ozeanforschung Kiel" ], "is_presenter": false }, { "author": { "first_name": "Philipp Sebastian", "last_name": "Sommer", "orcid": "0000-0001-6171-7716" }, "affiliation": [ "Helmholtz-Zentrum Hereon" ], "is_presenter": false } ], "submitter": "Romy Fösig", "event": "Data Science Symposium 2025", "activity": "AK Metadaten PIDs (Metadaten-PIDs)", "accepted": true, "license": "Creative Commons Attribution 4.0 International (CC-BY-4.0)", "affiliations": [ "Karlsruhe Institute of Technology", "Helmholtz-Zentrum Hereon", "GEOMAR Helmholtz-Zentrum für Ozeanforschung Kiel", "Alfred-Wegener-Institut - Helmholtz-Zentrum für Polar- und Meeresforschung", "Forschungszentrum Jülich GmbH", "GFZ German Research Centre for Geosciences" ] }, { "title": "Building Knowledge Graphs with the ELN Herbie", "url": "/submissions/110", "abstract": "<p>\n There is an increasing effort in scientific communities to create shared vocabularies and ontologies. These build the foundation of a semantically annotated knowledge graph which can surface all research data and enable holistic data analysis across various data sources and research domains.\n</p>\n<p>\n Making machine-generated data available in such a knowledge graph is typically done by setting up scripts and data transformation pipelines which automatically add semantic annotations. Unfortunately, a good solution for capturing manually recorded (meta)data in such a knowledge graph is still lacking.\n</p>\n<p>\n Herbie, the semantic electronic lab notebook and research database developed at Hereon, fills this gap. In Herbie, users can enter all (meta)data on their experiments in customized web forms. And once submitted, Herbie automatically adds semantic annotations and stores everything directly in the knowledge graph. So it is as easy to use as a spreadsheet but produces FAIR data without any additional post-processing work. Herbie is configured using the standardized SHACL Shapes Constraint Language and furthermore builds on well-established frameworks in the RDF ecosystem like RDFS, OWL, or RO-Crate.\n</p>\n<p>\n We will showcase this approach through a typical example of a production and analysis chain as can be found in many scientific domains.\n</p>\n", "presentation_type": "Talk", "session": "Metadata", "start": "2025-09-04T09:45:00+02:00", "duration": "00:15:00", "authors": [ { "author": { "first_name": "Fabian", "last_name": "Kirchner", "orcid": null }, "affiliation": [ "Helmholtz-Zentrum Hereon" ], "is_presenter": true }, { "author": { "first_name": "Catriona", "last_name": "Eschke", "orcid": null }, "affiliation": [ "Helmholtz-Zentrum Hereon" ], "is_presenter": false }, { "author": { "first_name": "Martin", "last_name": "Held", "orcid": "0000-0003-1869-463X" }, "affiliation": [ "Helmholtz-Zentrum Hereon" ], "is_presenter": false } ], "submitter": "Fabian Kirchner", "event": "Data Science Symposium 2025", "activity": null, "accepted": true, "license": "Creative Commons Attribution No Derivatives 4.0 International (CC-BY-ND-4.0)", "affiliations": [ "Helmholtz-Zentrum Hereon" ] }, { "title": "From Sensors to Semantics: Leveraging Ontologies for Recording Sensor Maintenance Metadata in the MOIN4Herbie Project", "url": "/submissions/89", "abstract": "<p>\n The collection and use of sensor data are vital for scientists monitoring the Earth's environment. It allows for the evaluation of natural phenomena over time and is essential for validating experiments and simulations. Assessing data quality requires understanding the sensor's state, including operation and maintenance, such as calibration parameters and maintenance schedules. In the HMC project MOIN4Herbie, digital recording of FAIR sensor maintenance metadata is developed using the electronic lab notebook Herbie.\n</p>\n<p>\n In this talk, we will describe the process of configuring Herbie with ontology-based forms for sensor maintenance metadata in our two pilot cases, the Boknis Eck underwater observatory and the Tesperhude research platform. This includes the development of a sensor maintenance ontology and task-specific ontologies tailored for each use case. Ontologies, in information science, are a formalization of concepts, their relations, and properties. They allow for the collection of input that is immediately fit for purpose as findable, machine-readable, and interoperable metadata. By using ontologies, we can ensure the use of controlled vocabularies and organize the knowledge stored within for accessibility and reusability.\n</p>\n<p>\n A further focus will be the translation of maintenance tasks into Shapes Constraint Language (SHACL) documents that can be rendered as forms to the users of Herbie. Herbie relies on these ontologies and vocabularies to generate user-friendly web forms for collecting, validating, and provisioning FAIR (Findable, Accessible, Interoperable, and Reusable) metadata in the form of Resource Desription Framework (RDF) graphs.\n</p>\n<p>\n We developed a module to facilitate metadata integration from sensor registries, such as the\n <a href=\"https://registry.o2a-data.de/items\" rel=\"noopener noreferrer\" target=\"_blank\">\n O2A Registry\n </a>\n . This will allow seamless integration of the sensor maintenance metadata sourced from MOIN4Herbie with the sensor metadata stored in the registries and the data flows of the sensors.\n</p>\n<p>\n This approach ensures that the metadata collected is not only standardized but also easily accessible and usable for future research and applications.\n</p>\n", "presentation_type": "Talk", "session": "Metadata", "start": "2025-09-04T10:00:00+02:00", "duration": "00:15:00", "authors": [ { "author": { "first_name": "Linda", "last_name": "Baldewein", "orcid": "0000-0002-9477-516X" }, "affiliation": [ "Helmholtz-Zentrum Hereon" ], "is_presenter": true }, { "author": { "first_name": "Fabian", "last_name": "Kirchner", "orcid": null }, "affiliation": [ "Helmholtz-Zentrum Hereon" ], "is_presenter": false }, { "author": { "first_name": "Carsten", "last_name": "Schirnick", "orcid": null }, "affiliation": [ "GEOMAR Helmholtz-Zentrum für Ozeanforschung Kiel" ], "is_presenter": false }, { "author": { "first_name": "Claas", "last_name": "Faber", "orcid": null }, "affiliation": [ "GEOMAR Helmholtz-Zentrum für Ozeanforschung Kiel" ], "is_presenter": false }, { "author": { "first_name": "Mihir", "last_name": "Rambhia", "orcid": null }, "affiliation": [ "Helmholtz-Zentrum Hereon" ], "is_presenter": false }, { "author": { "first_name": "Smruthishree", "last_name": "Srinivasa", "orcid": null }, "affiliation": [ "Helmholtz-Zentrum Hereon" ], "is_presenter": false }, { "author": { "first_name": "Helmke", "last_name": "Hepach", "orcid": "0000-0002-4939-590X" }, "affiliation": [ "GEOMAR Helmholtz-Zentrum für Ozeanforschung Kiel" ], "is_presenter": false }, { "author": { "first_name": "Anahita", "last_name": "Nafissi", "orcid": "0000-0002-9416-1475" }, "affiliation": [ "Helmholtz-Zentrum Hereon" ], "is_presenter": false }, { "author": { "first_name": "Catriona", "last_name": "Eschke", "orcid": null }, "affiliation": [ "Helmholtz-Zentrum Hereon" ], "is_presenter": false } ], "submitter": "Linda Baldewein", "event": "Data Science Symposium 2025", "activity": null, "accepted": true, "license": "Creative Commons Attribution 4.0 International (CC-BY-4.0)", "affiliations": [ "Helmholtz-Zentrum Hereon", "GEOMAR Helmholtz-Zentrum für Ozeanforschung Kiel" ] } ]