Training eSupport System
  • Log In
    • Log in with UmbrellaID
    • Login
  • About
  • Events
  • Materials
  • Workflows
  • Collections
  • Learning paths
  • Directory
    • Providers

PaN-Training makes use of some necessary cookies to provide its core functionality.

See our Privacy Policy for more information.

You can modify your cookie preferences at any time here, or from the link in the footer.

Allow necessary cookies
  1. Home
  2. Materials

Filter

  • Sort

  • Filter Clear filters

    • Scientific topic
    • FAIR data11
    • Findable, accessible, interoperable, reusable data11
    • Data management7
    • Metadata management7
    • Research data management (RDM)7
    • Chromosome walking1
    • Clone verification1
    • DNA-Seq1
    • DNase-Seq1
    • High throughput sequencing1
    • High-throughput sequencing1
    • NGS1
    • NGS data analysis1
    • Next gen sequencing1
    • Next generation sequencing1
    • Panels1
    • Primer walking1
    • SPARQL1
    • SPARQL Protocol and RDF Query Language1
    • Sanger sequencing1
    • Sequencing1
    • Targeted next-generation sequencing panels1
    • Show N_FILTERS more
    • Content provider
    • Elixir TeSS11
    • Show N_FILTERS more
    • Keyword
    • Data management
    • FAIR data14
    • Reproducibility3
    • BLR1
    • DSI1
    • Data mining1
    • Data reuse1
    • Educational resources1
    • FAIR Data1
    • GNU Make1
    • Knowledge graph1
    • Next generation sequencing1
    • Online Repository1
    • Ontology1
    • SPARQL1
    • Training1
    • Version control1
    • Zenodo Community1
    • Show N_FILTERS more
    • Difficulty level
    • Not specified
    • Show N_FILTERS more
    • Licence
    • Creative Commons Attribution 4.0 International7
    • License Not Specified2
    • Creative Commons Attribution Share Alike 4.0 International1
    • Creative Commons Zero v1.0 Universal1
    • Show N_FILTERS more
    • Author
    • Fred Hutch Data Science Lab2
    • FAIR-by-Design-Methodology1
    • Health Data Science Sandbox1
    • OBOAcademy1
    • The Carpentries Incubator1
    • feichtingerm1
    • Show N_FILTERS more
    • Contributor
    • Fred Hutch Data Science Lab2
    • FAIR-by-Design-Methodology1
    • Health Data Science Sandbox1
    • OBOAcademy1
    • The Carpentries Incubator1
    • feichtingerm1
    • Show N_FILTERS more
  • Show disabled materials
  • Show archived materials
    • Date added
    • In the last 24 hours
    • In the last 1 week
    • In the last 1 month

Training materials

  • Subscribe via email

Email Subscription

Register training material

Keywords: Data management

and Difficulty level: Not specified

and Max age: 1 month

11 materials found
  • fhdsl/NIH_Data_Sharing

    Data management FAIR data
  • fhdsl/Ethical_Data_Handling_for_Cancer_Research

    Data management FAIR data
  • FAIR-by-Design-Methodology/FAIR-by-Design_Book

    Data management FAIR data
  • hds-sandbox/RDM_biodata_course

    Data management FAIR data Sequencing Next generation sequencing
  • OBOAcademy/obook

    Data management FAIR data SPARQL GNU Make Knowledge graph Ontology Version control
  • feichtingerm/rdmlifesciunivie

    Data management FAIR data
  • carpentries-incubator/FAIR-research-data-coursebook

    Data management FAIR data
  • Biocuration | EMBL-EBI Training

    FAIR data Data management
  • Bringing data to life | EMBL-EBI Training

    FAIR data Data management Reproducibility
  • Open Science in the Swedish context

    FAIR data Data management Reproducibility
  • 1
  • 2
Training eSupport System
pan-training@hzdr.de
Imprint
Contribute
About PaN-Training
Funding & acknowledgements
Privacy
Cookie preferences
Version: 1.5.1
Source code
API documentation

The training portal for the photon & neutron community is supported through the European Union's Horizon 2020 research and innovation programme, under grant agreement 857641, 823852, the Horizon Europe Framework under grant agreement 101129751, and the consortium DAPHNE4NFDI in the context of the work of the NFDI e.V. under the DFG - project number 460248799.