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Keywords: F.A.I.R. principles  or metadata 

  • TA1 "Data for Science" Vorlesung

    18 April 2023

    TA1 "Data for Science" Vorlesung https://pan-training.eu/events/ta1-data-for-science-vorlesung-a99bc043-c4f9-4eb9-b068-52fedfd00d74 The FAIR Data Principles require that data is described with rich metadata and that it is associated with detailed provenance. Without the indication of the instrument that has been used to collect the data, this description will be incomplete. In order to make this indication reliable and persistent, we need a persistent identifier for the instrument. The Persistent Identification of Instruments Working Group in the Research Data Alliance has explored a community-driven solution for globally unique identification of measuring instruments operated in the sciences. The group formulated a schema for the metadata to identify the instrument that should be stored along with the identifier in the PID infrastructure and it tested potential implementations with infrastructure providers, namely ePIC Handles and DataCite DOIs. 2023-04-18 14:00:00 UTC 2023-04-18 15:00:00 UTC [] [] research data scientist workshops_and_courses [] FAIR Data Principlesmetadatadata provenancepersistent identifiers

  • Fundamentals of Scientific Metadata: Why Context Matters

    18 - 19 June 2024

    Fundamentals of Scientific Metadata: Why Context Matters https://pan-training.eu/events/fundamentals-of-scientific-metadata-why-context-matters This course is an entry-level introduction to the fundamentals of scientific metadata for PhD students, early-career researchers, and postdocs. In this course we will look at the intricate relationship between (digital) research data, metadata, and knowledge; discuss why metadata is critical in today’s research; and explain some of the technologies and concepts related to structured machine-readable metadata. Have you ever struggled to make sense of scientific data provided by a collaborator? Or, even worse, to understand your own data five months after publication... Do you have difficulties in meeting the data description requirements of your funding agency? Do you want your data to have lasting value; but don’t know how to ensure that? Precise and structured descriptions of research data are key for scientific exchange and progress - and for ensuring recognition of your effort in data collection. The solution: make your data findable, accessible, interoperable, and reusable - by describing them with metadata. This course is targeted especially at scientific staff and researchers in the Helmholtz Research Field Matter but is open to anyone who would like to better understand research data annotation with metadata. *What You Will Learn*: * Understanding the vital differences between data and metadata. * Techniques for annotating research data using structured metadata. * Identifying and implementing appropriate metadata frameworks and data repositories. * Developing basic skills in Markdown, JSON, XML. * Exploring tools to improve your metadata annotation capabilities. * Recognizing the role of structured metadata in enhancing your scientific visibility. In this course, we will specifically focus on matter-related datasets, formats, and metadata schemas. However, it is open to anyone interested in learning about structured metadata and its importance in scientific research. 2024-06-18 09:00:00 UTC 2024-06-19 12:30:00 UTC [] [] [] workshops_and_courses [] metadatadata managementdata repositorymatterdataset

  • HZDR Data and Software Management Day

    28 - 29 October 2024

    Dresden, Germany

    HZDR Data and Software Management Day https://pan-training.eu/events/hzdr-data-and-software-management-day This year's HZDR Data and Software Management Day takes place from Monday, the 28th of October from 13:00 to Tuesday, the 29th, 13:30 at the great lecture hall (106/255) at HZDR and via Zoom. Against the background of progressive digitization and an ever increasing need for reproducibility, the focus will be on the data and software management landscape at HZDR. In talks and interactive workshops, our colleagues will give insights into the data and software management challenges they're facing and their solutions. Furthermore, you will have the opportunity to exchange and discuss these topics further during the coffee breaks. 2024-10-28 13:00:00 UTC 2024-10-29 13:30:00 UTC 400, Bautzner Landstraße, Dresden, Germany 400, Bautzner Landstraße Dresden Saxony Germany 01328 Helmholtz-Zentrum Dresden-Rossendorf (HZDR) [] research scientistsdata managers workshops_and_courses [] data managementresearch datametadatadata lifecycle

  • Lecture series "Experiments and Data at Photon and Neutron Facilities"

    12 November 2024

    Lecture series "Experiments and Data at Photon and Neutron Facilities" https://pan-training.eu/events/lecture-series-experiments-and-data-at-photon-and-neutron-facilities This lecture series, organized by the DAPHNE4NFDI consortium, aims at introducing to several common experimental techniques being used at large-scales facilities, i. e. neutron sources and synchrotrons, and various data aspects. The lectures will cover the basics of the methods and show practical application of these. In addition, challenges and opportunities on how to properly and efficiently handle the large datasets produced during experiments (i.e., improved research data management, automatic ingestion of metadata, artificial intelligence and machine learning models) are tackled to emphasize this mostly hidden aspect as well. The lecture series is aimed at MSc and PhD students, but also interested postdocs. The course corresponds to 2 ECTS points. The lecture series consists of 16 lectures and takes place every Tuesday at 3:30 PM (CET), starting from 22/10/2024. Please check content material before each lecture to get the latest version. **Material only for registered users** 2024-11-12 15:30:00 UTC 2024-11-12 17:00:00 UTC DAPHNE4NFDI x-ray absorption spectroscopy Karlsruhe Institute of Technology (KIT) vitaly.biniyaminov@kit.edu Deutsche Forschungsgemeinschaft (DFG) masters studentsPhD studentspostdocs workshops_and_courses [] Data at Photon and Neutron Facilitiesdata scienceXRDmetadatarefXAS

  • Lecture series "Experiments and Data at Photon and Neutron Facilities"

    19 November 2024

    Hamburg, Germany

    Lecture series "Experiments and Data at Photon and Neutron Facilities" https://pan-training.eu/events/lecture-series-experiments-and-data-at-photon-and-neutron-facilities-8a5a9094-9f85-4912-ad24-dd9033e4a655 is lecture series, organized by the DAPHNE4NFDI consortium, aims at introducing to several common experimental techniques being used at large-scales facilities, i. e. neutron sources and synchrotrons, and various data aspects. The lectures will cover the basics of the methods and show practical application of these. In addition, challenges and opportunities on how to properly and efficiently handle the large datasets produced during experiments (i.e., improved research data management, automatic ingestion of metadata, artificial intelligence and machine learning models) are tackled to emphasize this mostly hidden aspect as well. The lecture series is aimed at MSc and PhD students, but also interested postdocs. The course corresponds to 2 ECTS points. The lecture series consists of 16 lectures and takes place every Tuesday at 3:30 PM (CET), starting from 22/10/2024. Please check content material before each lecture to get the latest version. 2024-11-19 15:30:00 UTC 2024-11-19 17:00:00 UTC DAPHNE4NFDI 85, Notkestraße, Hamburg, Germany 85, Notkestraße Hamburg Germany 22607 Karlsruhe Institute of Technology (KIT) vitaly.biniyaminov@kit.edu Deutsche Forschungsgemeinschaft (DFG) masters studentsPhD studentspostdocs workshops_and_courses [] Data at Photon and Neutron Facilitiesdata science XRDmetadatarefXAS

  • EURO-LABS Advanced Training on Open Science and Data ManagemenT

    24 - 29 November 2024

    Bad Kreuznach, Germany

    EURO-LABS Advanced Training on Open Science and Data ManagemenT https://pan-training.eu/events/euro-labs-advanced-training-on-open-science-and-data-management Open Science is the practice of making scientific research output openly available in the form of data, software, publications, hardware and infrastructure. This promotes transparency, collaboration, and reproducibility in research, as well as wider access to knowledge for the public and to researchers. Open Science represents an opportunity for the society at large and in particular for the physics community to improve the management and use of the large data sets produced in accelerator facilities around Europe and foster new collaborations. As a goal towards Open Science physics, the development of suited data workflow that could be shared among the physics European facilities would represent a major step forward. The data produced in these facilities should follow the F.A.I.R. principles (Findable, Accessible, Interoperable and Reusable) to ensure long term storage and possible future use by the community. The goal of the Advanced Training course is to convey basic principles and to demonstrate commonly used tools to achieve this goal successfully. The Advanced Training will take place at castle Ebernburg (Germany) in the week 24.-29. November 2024. An excursion is planned to visit the GSI Helmholtzzentrum für Schwerionenforschung and FAIR (Facility for Antiproton and Ion Research, that is presently under construction) in Darmstadt. The training participants have the opportunity to see the accelerator facility and various experiment setups as well as the FAIR construction site, in order to experience the inside of a nuclear physics research laboratory. **List of confirmed lecturers and topics:** * Antoine Lemasson (CNRS - GANIL) – Introduction to Open Science * Florian Uhlig (GSI) – Tools for sustainable programming * Ozlem Ozkan (Helmholtz Metadata Collaboration) – Metadata for beginners * Clemens Lange (PSI) – Open Science in HEP * Adrien Matta (LPC Caen - CNRS) and Jérémie Dudouet (IP2I Lyon - CNRS) – Hands-on data challenge * Kathrin Göbel (GSI) – Open technology transfer Local organizers: Andrew Mistry (GSI/FAIR), Christine Hornung (GSI), Gerhard Burau (HGS-HIRe) The school is open to PhD students, final year master degree students, and early career Postdocs. 25-30 participants will be selected from the applications. There is a contingent of places reserved for HGS-HIRe participants. 2024-11-24 13:00:00 UTC 2024-11-29 13:00:00 UTC Fritz-Göbel-Weg, Bad Kreuznach, Germany Fritz-Göbel-Weg Bad Kreuznach Landkreis Bad Kreuznach Germany 55583 [] [] PhD studentsmasters students [] [] Open ScienceknowledgeF.A.I.R. principles

  • Lecture series "Experiments and Data at Photon and Neutron Facilities"

    3 December 2024

    Lecture series "Experiments and Data at Photon and Neutron Facilities" https://pan-training.eu/events/lecture-series-experiments-and-data-at-photon-and-neutron-facilities-226a070c-6a7e-4cf6-a3f8-e2702b1046c0 This lecture series, organized by the DAPHNE4NFDI consortium, aims at introducing to several common experimental techniques being used at large-scales facilities, i. e. neutron sources and synchrotrons, and various data aspects. The lectures will cover the basics of the methods and show practical application of these. In addition, challenges and opportunities on how to properly and efficiently handle the large datasets produced during experiments (i.e., improved research data management, automatic ingestion of metadata, artificial intelligence and machine learning models) are tackled to emphasize this mostly hidden aspect as well. The lecture series is aimed at MSc and PhD students, but also interested postdocs. The course corresponds to 2 ECTS points. The lecture series consists of 16 lectures and takes place every Tuesday at 3:30 PM (CET), starting from 22/10/2024. Please check content material before each lecture to get the latest version. **Material only for registered users** 2024-12-03 15:30:00 UTC 2024-12-03 17:00:00 UTC DAPHNE4NFDI small angle scattering Karlsruhe Institute of Technology (KIT) vitaly.biniyaminov@kit.edu Deutsche Forschungsgemeinschaft (DFG) masters studentsPhD studentspostdocs workshops_and_courses [] Data at Photon and Neutron Facilitiessmall-angle scatteringmetadatadata science

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