ETH Lib4RI: Research Data Management – The Basics
Research data management best practices in the ETH Lib4RI, the Library for the Research Institutes within the ETH Domain: Eawag, Empa, PSI & WSL
Keywords: data catalogue, data management, metadata, SciCat
Resource type: slides
ETH Lib4RI: Research Data Management – The Basics
https://www.lib4ri.ch/sites/default/files/media/documents/2023_05_PhD-Training_RDM_PSI_web.pdf
https://pan-training.eu/materials/eth-lib4ri-research-data-management-the-basics
Research data management best practices in the ETH Lib4RI, the Library for the Research Institutes within the ETH Domain: Eawag, Empa, PSI & WSL
data catalogue, data management, metadata, SciCat
research scientists
postdocs
PhD students
ExPaNDS and PaNOSC project members
PaN users
PaN Community
researchers
Self-evaluation Photon and Neutron RIs for FAIR data certification
This ExPaNDS project deliverable describes a FAIR self-assessment undertaken by the ten
ExPaNDS partner Photon and Neutron Research Infrastructures (PaN RIs) over the
three-month period July – September 2022. After reviewing selected examples of existing
FAIR evaluation frameworks designed to...
Keywords: FAIR, metadata, expands, European Photon and Neutron facilities , wp2-ExPaNDS
Resource type: Document
Self-evaluation Photon and Neutron RIs for FAIR data certification
https://zenodo.org/record/7246802
https://pan-training.eu/materials/self-evaluation-photon-and-neutron-ris-for-fair-data-certification
This ExPaNDS project deliverable describes a FAIR self-assessment undertaken by the ten
ExPaNDS partner Photon and Neutron Research Infrastructures (PaN RIs) over the
three-month period July – September 2022. After reviewing selected examples of existing
FAIR evaluation frameworks designed to enable assessment at different levels (dataset,
repository, and organisation), the report describes the evaluation approach adopted for the
ExPaNDS FAIR self-assessment. As no existing framework met our specific need to focus
on FAIR workflows and processes in PaN RIs, it was necessary to select, combine, and
adapt existing frameworks. Supported by four underlying guiding principles, our approach
drew heavily on the FAIR Principles, the RDA FAIR Data Maturity Model, and FAIRsFAIR’s
CoreTrustSeal+FAIRenabling framework. Post-evaluation feedback from ExPaNDS partners
indicated that they found the FAIR self-assessment a useful and valuable exercise for
understanding current levels of FAIRness at their facilities and for articulating what
implementations they have in progress or planned to support FAIR in future. A key output of
the ExPaNDS FAIR evaluation is the collected self-assessment reports from the ten partner
facilities. These reports are published openly and in full as part of the deliverable. In addition,
the self-assessments are supplemented with some high-level observations on the state of
the FAIR journey across the ExPaNDS facilities.
FAIR, metadata, expands, European Photon and Neutron facilities , wp2-ExPaNDS
PaN Community
Training Workflow on Terahertz Spectroscopy at TELBE
The radiation source ELBE (Electron Linac for beams with high Brilliance and low Emittance) at the Helmholtz Centre Dresden Rossendorf (HZDR) can produce several kinds of secondary radiations. THz radiation is one of them and can be used with a typical pulse frequency of 100 kHz as a stimulation...
Scientific topics: spectroscopy, THz photon probe
Keywords: terahertz, Higgs, dataset, data analysis, spectroscopy, FAIR, training, TELBE, photon, metadata, TELBE
Resource type: lesson, workflow, training
Training Workflow on Terahertz Spectroscopy at TELBE
https://pan-training.eu/workflows/telbe
https://pan-training.eu/materials/terahertz-spectroscopy-workflow
The radiation source ELBE (Electron Linac for beams with high Brilliance and low Emittance) at the Helmholtz Centre Dresden Rossendorf (HZDR) can produce several kinds of secondary radiations. THz radiation is one of them and can be used with a typical pulse frequency of 100 kHz as a stimulation source for elementary low-energy degrees of freedom in matter.
In this training workflow brings together background information of the experiment, the facility used, as well as the processing techniques and steps to understand the data generated by the experiment:
* The open accessible dataset
* The software
* Services to execute the analysis
spectroscopy
THz photon probe
terahertz, Higgs, dataset, data analysis, spectroscopy, FAIR, training, TELBE, photon, metadata, TELBE
PaN Community
beamline users
graduate students
FAIR Metadata Workshop
Presentation of the ExPaNDS draft metadata framework for FAIR Photon and Neutron (PaN) data.
Keywords: FAIR, metadata, wp2-ExPaNDS
Resource type: video
FAIR Metadata Workshop
https://vimeo.com/685211186
https://pan-training.eu/materials/fair-metadata-workshop
Presentation of the ExPaNDS draft metadata framework for FAIR Photon and Neutron (PaN) data.
FAIR, metadata, wp2-ExPaNDS
PaN Community
ExPaNDS and PaNOSC project members
Workshop on Metadata Catalogues
Presentations from the Workshop on Metadata Catalogues, which took place virtually via Zoom on the 4th April 2022.
Keywords: data catalogue, SciCat, ICAT, expands, panet, PaNOSC, metadata, data management, data processing, wp3-ExPaNDS
Resource type: slides, video
Workshop on Metadata Catalogues
https://zenodo.org/record/6414117
https://pan-training.eu/materials/workshop-on-metadata-catalogues
Presentations from the Workshop on Metadata Catalogues, which took place virtually via Zoom on the 4th April 2022.
data catalogue, SciCat, ICAT, expands, panet, PaNOSC, metadata, data management, data processing, wp3-ExPaNDS
data curator
data managers
research data engineer
ExPaNDS and PaNOSC project members
PaN users
PaN Community
Describe data by scripts for future reuse
Petr Čermák presents: Describe data by scripts for future reuse at the 2nd PaNOSC and ExPaNDS PaN EOSC Symposium (October 2021).
Keywords: metadata, open data, FAIR, figshare, binder, data processing, wp5-ExPaNDS
Resource type: video, slides
Describe data by scripts for future reuse
https://zenodo.org/record/5636331/files/20211026-PaN-EOSC-Symposium2021-PetrCermak-UseCase.pdf?download=1
https://pan-training.eu/materials/describe-data-by-scripts-for-future-reuse
Petr Čermák presents: Describe data by scripts for future reuse at the 2nd PaNOSC and ExPaNDS PaN EOSC Symposium (October 2021).
metadata, open data, FAIR, figshare, binder, data processing, wp5-ExPaNDS
Draft recommendations for FAIR Photon and Neutron Data Management
ExPaNDS WP2 has the objective of Enabling FAIR Data, providing guidelines, recommendation and practical experience to the project and the wider PaN community on the best practise in generating FAIR experimental data for National RIs. In order for the facility to deliver experimental data “FAIR at...
Keywords: FAIR, metadata, expands, experimental lifecycle, wp2-ExPaNDS
Resource type: Document
Draft recommendations for FAIR Photon and Neutron Data Management
https://zenodo.org/record/4312825#.X-DBT9j7SUk
https://pan-training.eu/materials/draft-recommendations-for-fair-photon-and-neutron-data-management
ExPaNDS WP2 has the objective of Enabling FAIR Data, providing guidelines, recommendation and practical experience to the project and the wider PaN community on the best practise in generating FAIR experimental data for National RIs. In order for the facility to deliver experimental data “FAIR at the point of leaving the facility”, the infrastructure systems and procedures involved in the facilities experimental lifecycle should be coordinated to construct and maintain the FAIRness of that data. In particular, at each stage in the experimental lifecycle, metadata and contextual information should be collected (automatically and manually) to form as complete a record as possible of the experiment so that that data can be FAIR.
In this report, we give an analysis of the metadata that should be generated and recorded at each stage of the lifecycle and consider its contribution to making that data FAIR. This delivers a prioritization which we use to determine which metadata should be collected. We use that prioritization to make a series of recommendations on the types of metadata that should be collected at each stage. These recommendations give a framework for setting standards for common metadata formats and provide a basis for assessing the FAIRness of data generated by facilities. Further work will develop these draft recommendations into our final recommendations for common metadata formats and use of metadata in practice.
FAIR, metadata, expands, experimental lifecycle, wp2-ExPaNDS
PaN Community
ExPaNDS and PaNOSC project members
The FAIR Experiment
Video recording of the workshop exploring the FAIR Experiment at PaN facilities (02/10/2020)
Keywords: FAIR, research data, data management, metadata, wp2-ExPaNDS
Resource type: video
The FAIR Experiment
https://vimeo.com/493767139
https://pan-training.eu/materials/the-fair-experiment
Video recording of the workshop exploring the FAIR Experiment at PaN facilities (02/10/2020)
FAIR, research data, data management, metadata, wp2-ExPaNDS
facility staff
instrument scientist
Delivering data services to EOSC
Wiki page recording the ExPaNDS training workshop on data services for EOSC (06/04/2021)
Keywords: OAI-PMH, metadata, harvesting, SciCat, ICAT, B2FIND, OpenAIRE, research data, wp3-ExPaNDS
Resource type: wiki
Delivering data services to EOSC
https://github.com/ExPaNDS-eu/ExPaNDS/wiki/Delivering-data-services-to-EOSC
https://pan-training.eu/materials/delivering-data-services-to-eosc
Wiki page recording the ExPaNDS training workshop on data services for EOSC (06/04/2021)
OAI-PMH, metadata, harvesting, SciCat, ICAT, B2FIND, OpenAIRE, research data, wp3-ExPaNDS
data curator
research data scientist