{"data":[{"id":"5","type":"zenodomaterials","attributes":{"title":"Interferences, form factor and grating intensity","url":"https://zenodo.org/record/7598278","short-description":"Simple python script that plots the interferences, form factor and intensity as a function of the observation angle.","doi":"10.5281/zenodo.7598278","remote-updated-date":null,"remote-created-date":null,"keywords":["grating","diffraction","optics"],"zenodolicense":"CC-BY-4.0","bcontributors":[],"bauthors":[{"id":324,"firstname":"Stephane","lastname":"Bac","orcid":""}],"created-at":"2023-02-02T09:21:36.661Z","updated-at":"2023-02-02T09:21:40.142Z"},"relationships":{"user":{"data":{"id":"10","type":"users"}},"content-provider":{"data":null}},"links":{"self":"/zenodomaterials/interferences-form-factor-and-grating-intensity"}},{"id":"265","type":"materials","attributes":{"title":"UmbrellaID Workshop: Keycloak","url":"https://indico.psi.ch/event/12701/","short-description":"This one day training is dedicated to the PaN community IT people that want to enable community AAI for their users. At the end of the training it is expected that you understand what UmbrellaID and the EOSC AAI federation is. A hands on session shall demonstrate how to integrate your services with UmbrellaID using Keycloak.\r\n\r\nIf you want to actively participate in the hands on session, you need to have your own Keycloak installation, see the following checklist. If you don't have that, you can still participate in the workshop and also take part in the hands on session as an observer.\r\n\r\nChecklist for the hands on session:\r\n\r\n- An installation of Keycloak\r\n- Internet access from the host where they have installed Keycloak (ideally direct access, but HTTP proxy and reverse HTTP proxy are also valid)\r\n- DNS resolution for the host with Keycloak installed should be in place and should be identical from\r\n    everywhere (I.E. the machine should be referenced with the same domain name from the RI/lab intranet and public internet network)\r\n- A valid X509 server certificate\r\n\r\nThe session recordings can be found here:\r\n\r\n1. https://umbrellaid.org/zoom/2022-05-03-UmbrellaID-Workshop-Session-1.mp4\r\n2. https://umbrellaid.org/zoom/2022-05-03-UmbrellaID-Workshop-Session-2.mp4","doi":"","remote-updated-date":null,"remote-created-date":null,"keywords":["UmbrellaID"],"licence":"notspecified","difficulty-level":"notspecified","bcontributors":[],"bauthors":[],"target-audience":["PaN Community"],"scientific-topics":[],"external-resources":[{"title":"UmbrellaID Workshop : 3rd of May, github","url":"https://github.com/ExPaNDS-eu/ExPaNDS/blob/master/WP3/WP3.4-3.5/UmbrellaIDWorkshop/requirements.md","created-at":"2023-01-31T15:12:23.647Z","updated-at":"2023-01-31T15:12:23.647Z","api-url":null,"type":"other"}],"created-at":"2023-01-31T14:56:08.845Z","updated-at":"2023-01-31T14:56:50.619Z"},"relationships":{"user":{"data":{"id":"10","type":"users"}},"content-provider":{"data":{"id":"4","type":"content-providers"}},"nodes":{"data":[]}},"links":{"self":"/materials/umbrellaid-workshop-keycloak"}},{"id":"264","type":"materials","attributes":{"title":"Containerized Serial Crystallography “CrystFEL” VISA workflow","url":"https://pan-training.eu/workflows/containerized-serial-crystallography-visa-workflow","short-description":"Experiments generate up to 150 TB per day of data saved at the measurement facility. Such large datasets are impractical for users to take home.\r\n\r\nSubsequent analysis needs to be performed remotely making it attractive for deployment as a cloud-like use case. Involving EOSC in the analysis and re-use of this data is an appropriate use case.\r\n\r\nSerial crystallography is a beam-line technique for collecting information on the structure of a protein without growing large protein crystals. Instead, a large number of small protein crystals are held in a pulsed X-ray beam. In a second step, the series of produced images are used to reconstruct a precise 3-D image of the protein structure. Serial crystallography is the preferred technique for obtaining diffraction data of proteins at room temperature, where radiation damage from the X-ray beam starts rapidly. The standard software for analysing serial crystallography is “CrystFEL”.\r\n\r\nThe proposed workflow was rendered in a standard fashion, which would allow it to be easily adopted by arbitrary systems or also other containerized applications. The only requirements are an Apptainer installation on the system and a Docker or Singularity/Apptainer image of the application, as well as an adjustment of the configuration file for the wrapper script.","doi":"","remote-updated-date":null,"remote-created-date":null,"keywords":["CrystFEL","Serial crystallography","pulsed X-ray beam","VISA"],"licence":"CC-BY-4.0","difficulty-level":"medium","bcontributors":[{"id":100,"firstname":"Oliver","lastname":"Knodel","orcid":"0000-0001-8174-7795","contribtype":null}],"bauthors":[{"id":323,"firstname":" Silvan","lastname":"Schön","orcid":"0000-0001-8415-1241"}],"target-audience":["research data scientist","scientific"],"scientific-topics":[{"preferred-label":"crystallography","uri":"http://purl.org/pan-science/PaNET/PaNET01082"}],"external-resources":[],"created-at":"2023-01-22T13:46:53.502Z","updated-at":"2023-01-22T13:46:53.502Z"},"relationships":{"user":{"data":{"id":"2","type":"users"}},"content-provider":{"data":{"id":"3","type":"content-providers"}},"nodes":{"data":[]}},"links":{"self":"/materials/containerized-serial-crystallography-crystfel-visa-workflow"}},{"id":"263","type":"materials","attributes":{"title":"ETH Lib4RI: Research Data Management – The Basics","url":"https://www.lib4ri.ch/sites/default/files/media/documents/2023_05_PhD-Training_RDM_PSI_web.pdf","short-description":"Research data management best practices in the ETH Lib4RI, the Library for the Research Institutes within the ETH Domain: Eawag, Empa, PSI \u0026amp; WSL","doi":"","remote-updated-date":null,"remote-created-date":null,"keywords":["data catalogue","data management","metadata","SciCat"],"licence":"notspecified","difficulty-level":"easy","bcontributors":[],"bauthors":[{"id":320,"firstname":"Fabian ","lastname":"Felder","orcid":""},{"id":321,"firstname":"Federico","lastname":"Cantini","orcid":""},{"id":322,"firstname":"Carlo","lastname":"Minotti","orcid":"0000-0002-2739-966X"}],"target-audience":["research scientists","postdocs","PhD students","ExPaNDS and PaNOSC project members","PaN users","PaN Community","researchers"],"scientific-topics":[],"external-resources":[],"created-at":"2023-01-20T09:30:56.140Z","updated-at":"2024-09-04T14:43:58.488Z"},"relationships":{"user":{"data":{"id":"19","type":"users"}},"content-provider":{"data":{"id":"4","type":"content-providers"}},"nodes":{"data":[]}},"links":{"self":"/materials/eth-lib4ri-research-data-management-the-basics"}},{"id":"262","type":"materials","attributes":{"title":"Active DMPs for Photon and Neutron RIs","url":"https://zenodo.org/record/7223438","short-description":"This deliverable envisions an integrated aDMP system which supports the (semi-)\r\nautomated generation of DMPs by maximising reuse of information generated during the\r\nresearch life-cycle and also aiming to support the scientists and other stakeholders by\r\nsupporting information transfer. Therefore, a data model for aDMPs focusing on the\r\nintegration of information that exists before a proposal is submitted and its life-cycle\r\nintegration is introduced. It relates the data model also to the template created in PaNOSC.","doi":"10.5281/zenodo.7223438","remote-updated-date":null,"remote-created-date":null,"keywords":["expands","wp2-ExPaNDS","DMP","data management plan","data management"],"licence":"CC-BY-4.0","difficulty-level":"notspecified","bcontributors":[{"id":98,"firstname":" Stephen","lastname":"Collins","orcid":"0000-0001-5120-0764","contribtype":null},{"id":99,"firstname":"Oliver","lastname":"Knodel","orcid":"0000-0001-8174-7795","contribtype":null}],"bauthors":[{"id":308,"firstname":"Heike","lastname":"Goerzig","orcid":"0000-0001-9121-8643"},{"id":309,"firstname":"Vasily","lastname":"Bunakov","orcid":"0000-0003-3467-5690"},{"id":310,"firstname":"Alejandra","lastname":"Gonzalez-Beltran","orcid":"0000-0003-3499-8262"},{"id":311,"firstname":"Janusz","lastname":"Malka","orcid":"0000-0002-1971-3102"},{"id":312,"firstname":"Brian","lastname":"Matthews","orcid":"0000-0002-3342-3160"},{"id":313,"firstname":"Abigail","lastname":"McBirnie","orcid":"0000-0003-0566-5717"},{"id":314,"firstname":"Nicolas","lastname":"Soler","orcid":"0000-0003-1137-1213"},{"id":315,"firstname":"Noel","lastname":"Vizcaino","orcid":""},{"id":316,"firstname":"Marjolaine","lastname":"Bodin","orcid":"0000-0003-0321-3952"},{"id":317,"firstname":"Fredrik","lastname":"Bolmsten","orcid":""},{"id":318,"firstname":"Andrei","lastname":"Vukolov","orcid":"0000-0001-6967-3236"},{"id":319,"firstname":"Majid","lastname":"Ounsy","orcid":"0000-0003-0661-7047"}],"target-audience":["PaN Community"],"scientific-topics":[],"external-resources":[],"created-at":"2023-01-19T22:10:03.784Z","updated-at":"2023-01-19T22:10:03.784Z"},"relationships":{"user":{"data":{"id":"10","type":"users"}},"content-provider":{"data":{"id":"5","type":"content-providers"}},"nodes":{"data":[]}},"links":{"self":"/materials/active-dmps-for-photon-and-neutron-ris"}},{"id":"261","type":"materials","attributes":{"title":"Self-evaluation Photon and Neutron RIs for FAIR data certification","url":"https://zenodo.org/record/7246802","short-description":"This ExPaNDS project deliverable describes a FAIR self-assessment undertaken by the ten\r\nExPaNDS partner Photon and Neutron Research Infrastructures (PaN RIs) over the\r\nthree-month period July – September 2022. After reviewing selected examples of existing\r\nFAIR evaluation frameworks designed to enable assessment at different levels (dataset,\r\nrepository, and organisation), the report describes the evaluation approach adopted for the\r\nExPaNDS FAIR self-assessment. As no existing framework met our specific need to focus\r\non FAIR workflows and processes in PaN RIs, it was necessary to select, combine, and\r\nadapt existing frameworks. Supported by four underlying guiding principles, our approach\r\ndrew heavily on the FAIR Principles, the RDA FAIR Data Maturity Model, and FAIRsFAIR’s\r\nCoreTrustSeal+FAIRenabling framework. Post-evaluation feedback from ExPaNDS partners\r\nindicated that they found the FAIR self-assessment a useful and valuable exercise for\r\nunderstanding current levels of FAIRness at their facilities and for articulating what\r\nimplementations they have in progress or planned to support FAIR in future. A key output of\r\nthe ExPaNDS FAIR evaluation is the collected self-assessment reports from the ten partner\r\nfacilities. These reports are published openly and in full as part of the deliverable. In addition,\r\nthe self-assessments are supplemented with some high-level observations on the state of\r\nthe FAIR journey across the ExPaNDS facilities.","doi":"10.5281/zenodo.7246802","remote-updated-date":null,"remote-created-date":null,"keywords":["FAIR","metadata","expands","European Photon and Neutron facilities ","wp2-ExPaNDS"],"licence":"CC-BY-4.0","difficulty-level":"notspecified","bcontributors":[{"id":92,"firstname":"Christoph","lastname":"Deinert","orcid":"0000-0001-6211-0158","contribtype":null},{"id":93,"firstname":"Patrick","lastname":"Fuhrmann","orcid":"0000-0002-9092-704X","contribtype":null},{"id":94,"firstname":"Alejandra","lastname":"Gonzalez Beltran","orcid":"0000-0003-3499-8262","contribtype":null},{"id":95,"firstname":"Marta","lastname":"Gutierrez","orcid":"","contribtype":null},{"id":96,"firstname":"Uwe","lastname":" Konrad","orcid":"0000-0001-8167-9411","contribtype":null},{"id":97,"firstname":"Roberto","lastname":"Pugliese","orcid":"","contribtype":null}],"bauthors":[{"id":291,"firstname":"Simon","lastname":"Lambert","orcid":"0000-0001-9570-8121"},{"id":292,"firstname":"Abigail","lastname":"McBirnie","orcid":"0000-0003-0566-5717"},{"id":293,"firstname":"Brian","lastname":"Matthews","orcid":"0000-0002-3342-3160"},{"id":294,"firstname":"Stephen","lastname":"Collins","orcid":"0000-0001-5120-0764"},{"id":295,"firstname":"Maik","lastname":"Fiedler","orcid":"0000-0003-3669-4035"},{"id":296,"firstname":"Brigitte","lastname":"Gagey","orcid":"0000-0002-9436-431X"},{"id":297,"firstname":"Heike","lastname":"Görzig","orcid":"0000-0001-9121-8643"},{"id":298,"firstname":"Oliver","lastname":"Knodel","orcid":"0000-0001-8174-7795"},{"id":299,"firstname":"George","lastname":"Kourousias","orcid":"0000-0002-1243-7168"},{"id":300,"firstname":"Carlo","lastname":"Minotti","orcid":"0000-0002-2739-966X"},{"id":301,"firstname":"Anders","lastname":"Markvardsen","orcid":"0000-0001-8974-2868"},{"id":302,"firstname":"Majid","lastname":"Ounsy","orcid":"0000-0003-0661-7047"},{"id":303,"firstname":"Krisztian","lastname":"Pozsa","orcid":""},{"id":304,"firstname":"Silvan","lastname":"Schön","orcid":"0000-0001-8415-1241"},{"id":305,"firstname":"Nicolas","lastname":"Soler","orcid":"0000-0003-1137-1213"},{"id":306,"firstname":"Darren","lastname":"Spruce","orcid":""},{"id":307,"firstname":"Andrei","lastname":"Vukolov","orcid":"0000-0001-6967-3236"}],"target-audience":["PaN Community"],"scientific-topics":[],"external-resources":[],"created-at":"2023-01-19T21:50:52.551Z","updated-at":"2023-01-19T21:50:52.551Z"},"relationships":{"user":{"data":{"id":"10","type":"users"}},"content-provider":{"data":{"id":"5","type":"content-providers"}},"nodes":{"data":[]}},"links":{"self":"/materials/self-evaluation-photon-and-neutron-ris-for-fair-data-certification"}},{"id":"260","type":"materials","attributes":{"title":"PaNOSC + ExPaNDS outcomes boosting Interoerability Data and Services for Photon and Neutron (PaN) Science / EOSC Symposium 2022 plenary","url":"https://www.youtube.com/watch?v=x6MH0dj-EAQ\u0026t=2094s","short-description":"EOSC Symposium 2022 presentation by Andy Gotz: PaNOSC + ExPaNDS outcomes boosting Interoerability Data and Services for Photon and Neutron (PaN) Science.","doi":"","remote-updated-date":null,"remote-created-date":null,"keywords":["expands","PaNOSC"],"licence":"notspecified","difficulty-level":"notspecified","bcontributors":[],"bauthors":[{"id":290,"firstname":"Andy","lastname":"Gotz","orcid":""}],"target-audience":["PaN Community"],"scientific-topics":[],"external-resources":[{"title":"EOSC Symposium 2022 plenary","url":"https://events.eoscfuture.eu/symposium2022/2606111","created-at":"2023-01-13T15:19:19.547Z","updated-at":"2023-01-13T15:19:19.547Z","api-url":null,"type":"other"}],"created-at":"2023-01-13T15:19:19.525Z","updated-at":"2023-01-13T15:19:19.525Z"},"relationships":{"user":{"data":{"id":"10","type":"users"}},"content-provider":{"data":null},"nodes":{"data":[]}},"links":{"self":"/materials/panosc-expands-outcomes-boosting-interoerability-data-and-services-for-photon-and-neutron-pan-science-eosc-symposium-2022-plenary"}},{"id":"259","type":"materials","attributes":{"title":"Joint Public Session ExPaNDS/PaNOSC on metadata catalogues (SciCat implementation) and future perspectives","url":"https://expands.eu/presentations/#WP3PublicMeeting","short-description":"Presentations from public joint WP3 Meeting for ExPaNDS and PaNOSC, which took place in hybrid format from SOLEIL (France) and via Zoom on the 3rd November 2022.   \r\nA recording of the event can be found on the ExPaNDS  website: https://expands.eu/presentations/  \r\nVideo recording (direct link to vimeo) will be available soon.","doi":"10.5281/zenodo.7428550","remote-updated-date":null,"remote-created-date":null,"keywords":["expands","PaNOSC","open data","wp3-ExPaNDS"],"licence":"CC-BY-4.0","difficulty-level":"notspecified","bcontributors":[{"id":82,"firstname":"Majid","lastname":"Ounsy","orcid":"","contribtype":"Other"},{"id":83,"firstname":"Kat","lastname":"Roarty","orcid":"","contribtype":"Other"}],"bauthors":[{"id":281,"firstname":"Massimiliano","lastname":"Novelli","orcid":""},{"id":282,"firstname":"Carlo","lastname":"Minotti","orcid":""},{"id":283,"firstname":"Fredrick","lastname":"Bolmsten","orcid":""},{"id":284,"firstname":"Alun","lastname":"Ashton","orcid":""},{"id":285,"firstname":"Tobias","lastname":"Richter","orcid":""}],"target-audience":["data managers"],"scientific-topics":[],"external-resources":[{"title":"Slides","url":"https://zenodo.org/record/7428550#.Y5cxW3bP1aQ","created-at":"2023-01-13T10:58:56.572Z","updated-at":"2023-01-13T10:58:56.572Z","api-url":null,"type":"other"}],"created-at":"2022-12-12T15:18:52.567Z","updated-at":"2023-01-19T17:24:32.997Z"},"relationships":{"user":{"data":{"id":"10","type":"users"}},"content-provider":{"data":{"id":"5","type":"content-providers"}},"nodes":{"data":[]}},"links":{"self":"/materials/work-package-3-public-meeting"}},{"id":"258","type":"materials","attributes":{"title":"Full-field Tomography at PSI","url":"https://pan-training.eu/workflows/backup-fork-of-full-field-tomography-at-psi-wip#workflow","short-description":"This workflow has some details on the instrument the data is produced from (TOMCAT beamline) and the infrastructure PSI has concerning their data.\r\nIf you are more interested in the science and want to reproduce the data and not bother with the surrounding details/context, please refer to the Pulmonary arterial hypertension research workflow.\r\n\r\nFull-field Tomography at PSI\r\n\r\nTomography datasets often present large volumes (100 GBs - few TBs) difficult to compress and transfer. The tomographic reconstruction is highly demanding on compute (GPU) and storage resources for the intermediate and/or final result. In addition, the optional image segmentation step may be demanding on computer memory.\r\n\r\nThe offline analysis (after experiment) could be performed remotely by users at home making it attractive for deployment as a cloud-like use case. Finally, this technique is applied at many facilities and in different scientific domains - therefore a portable result is more useful.\r\n\r\nThis entire process is illustrated with a typical experiment.","doi":"","remote-updated-date":null,"remote-created-date":null,"keywords":["synchrotron","imaging","Jupyter notebooks","Python","Pulmonary arterial hypertension"],"licence":"ODC-BY-1.0","difficulty-level":"medium","bcontributors":[{"id":80,"firstname":"Rajmund","lastname":"Mokso","orcid":"","contribtype":"Other"},{"id":81,"firstname":"Carlo","lastname":"Minotti","orcid":"","contribtype":"Other"}],"bauthors":[{"id":279,"firstname":"Krisztian ","lastname":"Pozsa ","orcid":""},{"id":280,"firstname":"Oliver","lastname":" Knodel","orcid":""}],"target-audience":["research data scientist","life scientists"],"scientific-topics":[],"external-resources":[],"created-at":"2022-12-09T13:32:19.683Z","updated-at":"2022-12-09T13:32:19.683Z"},"relationships":{"user":{"data":{"id":"2","type":"users"}},"content-provider":{"data":{"id":"4","type":"content-providers"}},"nodes":{"data":[]}},"links":{"self":"/materials/full-field-tomography-at-psi"}},{"id":"257","type":"materials","attributes":{"title":"Training Workflow on Terahertz Spectroscopy at TELBE","url":"https://pan-training.eu/workflows/telbe","short-description":"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.\r\n\r\nIn 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:\r\n\r\n* The open accessible dataset\r\n* The software\r\n* Services to execute the analysis","doi":"","remote-updated-date":null,"remote-created-date":null,"keywords":["terahertz","Higgs","dataset","data analysis","spectroscopy","FAIR","training","TELBE","photon","metadata","TELBE"],"licence":"CC-BY-NC-4.0","difficulty-level":"medium","bcontributors":[{"id":79,"firstname":"Oliver","lastname":"Knodel","orcid":"0000-0001-8174-7795","contribtype":"Other"}],"bauthors":[{"id":277,"firstname":"Thomas","lastname":"Gruber","orcid":"0000-0001-6940-2065"},{"id":278,"firstname":"Jan-Christoph ","lastname":"Deinert ","orcid":"0000-0001-6211-0158"}],"target-audience":["PaN Community","beamline users","graduate students"],"scientific-topics":[{"preferred-label":"spectroscopy","uri":"http://purl.org/pan-science/PaNET/PaNET01125"},{"preferred-label":"THz photon probe","uri":"http://purl.org/pan-science/PaNET/PaNET01006"}],"external-resources":[{"title":"Training workflow","url":"https://pan-training.eu/workflows/telbe","created-at":"2022-11-28T09:20:58.208Z","updated-at":"2022-11-28T09:20:58.208Z","api-url":null,"type":"other"}],"created-at":"2022-11-28T09:20:58.206Z","updated-at":"2022-12-06T13:15:09.677Z"},"relationships":{"user":{"data":{"id":"2","type":"users"}},"content-provider":{"data":{"id":"1","type":"content-providers"}},"nodes":{"data":[]}},"links":{"self":"/materials/terahertz-spectroscopy-workflow"}},{"id":"256","type":"materials","attributes":{"title":"NOBUGS 2022","url":"https://www.youtube.com/channel/UC7SUAP5KT6c5g-BaJR718BQ/videos","short-description":"The 13th NOBUGS Conference was held at Paul Scherrer Institute, Villigen, Switzerland on September 19-22, 2022. The goal of the NOBUGS (New Opportunities for Better User Group Software) Conference Series is to foster collaboration and exchange between scientists and IT professionals working on software for X-ray, neutron and muon sources from around the world.\r\n\r\nProgram Themes:\r\n\r\n- Data acquisition systems\r\n- Data reduction\r\n- User interfaces\r\n- Data catalogs/Electronic Notebooks\r\n- Data Streaming\r\n- Use of (commercial) Cloud Systems\r\n- Web Tools\r\n- Workflow Engines \u0026amp; Tools\r\n- Other Relevant Topics","doi":"","remote-updated-date":null,"remote-created-date":null,"keywords":["NOBUGS","scientific software"],"licence":"notspecified","difficulty-level":"notspecified","bcontributors":[],"bauthors":[],"target-audience":[],"scientific-topics":[],"external-resources":[{"title":"NOBUGS 2022 indico (slides)","url":"https://indico.psi.ch/event/12738/timetable/#20220919","created-at":"2022-10-10T11:09:43.413Z","updated-at":"2022-10-10T11:11:17.681Z","api-url":null,"type":"other"}],"created-at":"2022-10-10T11:09:43.411Z","updated-at":"2022-10-10T11:10:41.562Z"},"relationships":{"user":{"data":{"id":"10","type":"users"}},"content-provider":{"data":null},"nodes":{"data":[]}},"links":{"self":"/materials/nobugs-2022"}},{"id":"255","type":"materials","attributes":{"title":"Virtual Infrastructure for Scientific Analysis (VISA) Workshop","url":"https://expands.eu/presentations/#VISAWorkshop","short-description":"We invite you to view our workshop – hosted jointly by ExPaNDS and PaNOSC!\r\n\r\nVISA provides remote data analysis services giving access to experimental data, analysis software, compute infrastructure and expert-user support (IT and Scientific). The online half-day Workshop is open to all external stakeholders (especially scientists and IT staff but not limited to). We aim to demonstrate to beamline scientists the possibilities offered by VISA for data analysis and gathering IT staff around the table to discuss about the development and further deployment of the platform.\r\n\r\nVISA has been developed at a critical time (during the COVID-19 crisis) to answer data analysis needs and allowing remote instrument control. It provides simplified access for scientists to data analysis tools, offers remote support to users from experts and allows them to remotely control their experiments with the assistance of on-site instrument scientists. VISA allows a user to use the Remote Desktop as if they were sitting in front a data treatment workstation at the host institute and embeds JupyterLab directly accessible from the same platform interface. Initially developed at the Institut Laue-Langevin (ILL) in Grenoble, France and further deployed in the context of PaNOSC, VISA enables the PaN research infrastructures (PaN RIs) to work together on further scientific collaborations to solve 21st century challenges.\r\n\r\nThe first session of the workshop showcases the implementation of VISA at the PaN RIs through ExPaNDS and PaNOSC partner’ demos and illustrate its use for scientific users and others.\r\n\r\nThe second session in the afternoon focuses on presentations on VISA development and deployment (on OpenStack and other infrastructures), paving the way for a roundtable discussion on the future of VISA: sustainability and future collaborations.  \r\n\r\nVideo recording (direct link to vimeo) will be available soon.","doi":"10.5281/zenodo.7108457","remote-updated-date":null,"remote-created-date":null,"keywords":["VISA","expands","PaNOSC","remote data analysis services"],"licence":"CC-BY-4.0","difficulty-level":"notspecified","bcontributors":[],"bauthors":[{"id":269,"firstname":"Jean Francois","lastname":"Perrin","orcid":""},{"id":270,"firstname":"Fabio","lastname":"Dall'Antonia","orcid":""},{"id":271,"firstname":"Silvan","lastname":"Schoen","orcid":""},{"id":272,"firstname":"Eric","lastname":"Moge","orcid":"0000-0002-7967-2007"},{"id":273,"firstname":"Tim","lastname":"Wetzel","orcid":""},{"id":274,"firstname":" Enric","lastname":"Querol Baladia","orcid":""},{"id":275,"firstname":"Andrea","lastname":"Manzi","orcid":"0000-0001-7949-2199"},{"id":276,"firstname":"Ludovic","lastname":"Leroux","orcid":""}],"target-audience":[],"scientific-topics":[],"external-resources":[{"title":"Slides","url":"https://zenodo.org/record/7108457#.Y0BQn3bMJaQ","created-at":"2023-01-13T10:56:35.868Z","updated-at":"2023-01-13T10:56:35.868Z","api-url":null,"type":"other"}],"created-at":"2022-10-10T10:53:28.069Z","updated-at":"2023-01-13T10:56:35.851Z"},"relationships":{"user":{"data":{"id":"10","type":"users"}},"content-provider":{"data":{"id":"5","type":"content-providers"}},"nodes":{"data":[]}},"links":{"self":"/materials/virtual-infrastructure-for-scientific-analysis-visa-workshop"}},{"id":"254","type":"materials","attributes":{"title":"Final recommendations for FAIR Photon and Neutron Data Management","url":"https://zenodo.org/record/6821676#.YwiWdnHP02w","short-description":"The present deliverable pursues the work initiated in ExPaNDS deliverable 2.2, which established a common metadata framework for FAIR data generated in Photon and Neutron (PaN) facilities. The modalities of implementation of this framework across facilities are examined and current practices and tools for metadata capture, storage and exposure are highlighted. This work is also the occasion to examine the commonalities of the framework with other initiatives developed inside and outside ExPaNDS such as the common search API, the data catalogues (ExPaNDS WP3), the EOSC discovery platforms B2FIND and OpenAire as well as the NeXus data format. It also provides the reader with guidelines on current tools and schemata available to record provenance and digital preservation information. The essence of these discussions is summarised as a list of practical recommendations at the end.","doi":"https://doi.org/10.5281/zenodo.6821676","remote-updated-date":null,"remote-created-date":null,"keywords":["expands","wp2-ExPaNDS","FAIR","data 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the European Open Science Cloud. One of the main objectives of the EOSC is to make Open Data from these facilities FAIR. This portal implements the F(indable) part of FAIR via a **federated search engine** from the following facilities:\r\n\r\n- European Spallation Source\r\n- Institut Laue Langevin\r\n- MAX IV\r\n\r\nAdditional facilities will be included in the federated search as their search engines come online locally. The goal is to include all photon and neutron facilites who provide open data by the end of the two projects PaNOSC and ExPaNDS.\r\n\r\nThe mission of the PaN data search portal is to contribute to the realization of a data commons for Neutron and Photon science. The search results provide a link to the landing page of the data DOIs through which the other data services provided by PaNOSC and ExPaNDS for data downloading, analysis, notebooks and simulation can be accessed. The aim of the portal is to facilitate using data from photon and neutron sources for the many scientists from existing and future disciplines. To achieve this aim, the exchange of know-how and experiences is crucial to driving a change in culture by embracing Open Science among the targeted scientific communities. This is why the project works closely with the national photon and neutron sources in Europe to develop common policies, strategies and solutions in the area of FAIR data policy, data management and data services.","doi":"","remote-updated-date":null,"remote-created-date":null,"keywords":["FAIR","federated search engine","open data","EOSC"],"licence":"notspecified","difficulty-level":"notspecified","bcontributors":[],"bauthors":[],"target-audience":[],"scientific-topics":[],"external-resources":[],"created-at":"2022-05-25T08:14:49.388Z","updated-at":"2022-05-25T08:15:30.296Z"},"relationships":{"user":{"data":{"id":"10","type":"users"}},"content-provider":{"data":{"id":"21","type":"content-providers"}},"nodes":{"data":[]}},"links":{"self":"/materials/european-photon-and-neutron-open-data-search-portal"}},{"id":"241","type":"materials","attributes":{"title":"DMSC - Instrument Scientists workshop (2022)","url":"https://pan-learning.org/moodle/course/view.php?id=105","short-description":"If you have self enrolled onto the course please wait 5 minutes before launching the JupyterHub\r\nAccess the course by clicking on the JupyterHub link (bellow).\r\nClick Start My Server \u0026gt; Start and your container will launch.","doi":"","remote-updated-date":null,"remote-created-date":null,"keywords":[],"licence":"notspecified","difficulty-level":"notspecified","bcontributors":[],"bauthors":[],"target-audience":[],"scientific-topics":[],"external-resources":[],"created-at":"2022-05-03T15:03:56.504Z","updated-at":"2024-12-21T11:31:14.204Z"},"relationships":{"user":{"data":{"id":"21","type":"users"}},"content-provider":{"data":{"id":"27","type":"content-providers"}},"nodes":{"data":[]}},"links":{"self":"/materials/dmsc-instrument-scientists-workshop-2022"}},{"id":"240","type":"materials","attributes":{"title":"McStas and McXtrace online-session","url":"https://pan-learning.org/moodle/course/view.php?id=104","short-description":"No short description available.","doi":"","remote-updated-date":null,"remote-created-date":null,"keywords":["McStas","mcstas simulation tool"],"licence":"notspecified","difficulty-level":"notspecified","bcontributors":[],"bauthors":[],"target-audience":[],"scientific-topics":[],"external-resources":[],"created-at":"2022-05-03T15:03:56.286Z","updated-at":"2024-12-21T11:31:13.541Z"},"relationships":{"user":{"data":{"id":"21","type":"users"}},"content-provider":{"data":{"id":"27","type":"content-providers"}},"nodes":{"data":[]}},"links":{"self":"/materials/introduction-to-mcstas"}},{"id":"239","type":"materials","attributes":{"title":"Photosynthesis and Energy 2024","url":"https://pan-learning.org/moodle/course/view.php?id=103","short-description":"No short description available.","doi":"","remote-updated-date":null,"remote-created-date":null,"keywords":["photosynthesis ","energy"],"licence":"notspecified","difficulty-level":"notspecified","bcontributors":[],"bauthors":[],"target-audience":[],"scientific-topics":[],"external-resources":[],"created-at":"2022-05-03T15:03:56.055Z","updated-at":"2024-12-21T11:31:12.875Z"},"relationships":{"user":{"data":{"id":"21","type":"users"}},"content-provider":{"data":{"id":"27","type":"content-providers"}},"nodes":{"data":[]}},"links":{"self":"/materials/photosynthesis-and-energy-2022"}},{"id":"238","type":"materials","attributes":{"title":"Simulating LoKi with McStas","url":"https://pan-learning.org/moodle/course/view.php?id=102","short-description":"No short description available.","doi":"","remote-updated-date":null,"remote-created-date":null,"keywords":["McStas","mcstas simulation tool","LoKi"],"licence":"notspecified","difficulty-level":"notspecified","bcontributors":[],"bauthors":[],"target-audience":[],"scientific-topics":[],"external-resources":[],"created-at":"2022-05-03T15:03:55.720Z","updated-at":"2024-12-21T11:31:12.146Z"},"relationships":{"user":{"data":{"id":"21","type":"users"}},"content-provider":{"data":{"id":"27","type":"content-providers"}},"nodes":{"data":[]}},"links":{"self":"/materials/simulating-loki-with-mcstas"}},{"id":"237","type":"materials","attributes":{"title":"SimEx (Simulating Experiments): Examples","url":"https://pan-learning.org/moodle/course/view.php?id=101","short-description":"SimEx is a program for simulating experiments at advanced laser and x-ray light sources. 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Select a notebook. \r\n\r\nHere is a list of notebooks available: \r\n\r\ncrl\\_focus - currently not working! \r\nedge \r\nEuXFEL\\_SASE1\\_SPB\\_KBfocus - currently not working! \r\npropagation\\_example\\_01\r\npropagation\\_example\\_02 - currently not working! \r\nspheres - currently not working! \r\nwire","doi":"","remote-updated-date":null,"remote-created-date":null,"keywords":["simulation","SimEx "],"licence":"notspecified","difficulty-level":"notspecified","bcontributors":[],"bauthors":[],"target-audience":[],"scientific-topics":[],"external-resources":[],"created-at":"2022-05-03T15:03:55.498Z","updated-at":"2024-12-21T11:31:11.426Z"},"relationships":{"user":{"data":{"id":"21","type":"users"}},"content-provider":{"data":{"id":"27","type":"content-providers"}},"nodes":{"data":[]}},"links":{"self":"/materials/simex-simulating-experiments-examples"}},{"id":"236","type":"materials","attributes":{"title":"Simulation of boron carbide diffraction with D2B","url":"https://pan-learning.org/moodle/course/view.php?id=100","short-description":"Simulation of boron carbide diffraction with D2B","doi":"","remote-updated-date":null,"remote-created-date":null,"keywords":["simulation","boron carbide diffraction","D2B"],"licence":"notspecified","difficulty-level":"notspecified","bcontributors":[],"bauthors":[],"target-audience":[],"scientific-topics":[],"external-resources":[],"created-at":"2022-05-03T15:03:55.211Z","updated-at":"2024-12-21T11:31:10.748Z"},"relationships":{"user":{"data":{"id":"21","type":"users"}},"content-provider":{"data":{"id":"27","type":"content-providers"}},"nodes":{"data":[]}},"links":{"self":"/materials/simulation-of-boron-carbide-diffraction-with-d2b"}},{"id":"235","type":"materials","attributes":{"title":"Introduction to Oasys (Hercules 2022)","url":"https://pan-learning.org/moodle/course/view.php?id=99","short-description":"Welcome to the Hercules 2022 Oasys tutorial written by Manuel Sanchez del Rio and Juan Reyes Herrera.\r\nThe aim of this course is to learn the following:\r\nCalculate main characteristics of synchrotron source (Bending magnets and Insertion devices).\r\nCalculate the heat-load on different beamline components.\r\nSimulating beamline optics by ray-tracing to obtain main parameters of the beam, e. g., size and divergence, energy resolution, intensity/flux.\r\nUnderstand basic principles of X-ray optics: Mirrors and Crystals.\r\nBasic concepts about coherence.\r\nAnd it is split into four sections: \r\n1. 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