Download - MPCDF & RDA
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Raphael Ritz
Max Planck Computing and Data Faci l i ty
5 t h NFDI Neuroscience Community Workshop
14. July 2021
MPCDF & RDA
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• Anwendungsentwicklung, Algorithmenentwicklung und Optimierung für Hochleistungsrechnen in enger Abstimmung mit Wissenschaftlern aus den MPI
• Konzipierung, Entwicklung und Umsetzung von Datenmanagementlösungen für große Datenprojekte in enger Abstimmung mit Wissenschaftlern aus den MPI
• Betrieb inklusive zyklischer Erneuerung eines modernen Hochleistungsrechners
• Betrieb größerer Rechensysteme für MPI
• Betrieb einer adäquaten Dateninfrastruktur einschließlich Langzeitarchivierung
AUFGABEN DER MPCDF LAUT STATUT
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• No dedicated funding for hardware or general expansion of our facility
• Supporting Max Planck Scientists when requested as in kind contribution
• Explicit contribution to FAIRmat and PUNCH4NFDI • How to deal with cross-cutting topics in the NFDI is still
open (NFDI Sections?)
https://www.mpcdf.mpg.de
MPCDF AND NFDI
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14July2021 rd-alliance.org@resdatall|@rda_europe
VisionResearchersandinnovatorsopenlyshareandre-usedataacrosstechnologies,disciplines,andcountriestoaddressthegrandchallengesofsociety.
MissionRDAbuildsthesocialandtechnicalbridgesthatenableopensharingandre-useofdata.
THERESEARCHDATAALLIANCE
www.rd-alliance.org
buildingthesocialandtechnicalbridgesthatenableopensharingandre-useofdata
50FLAGSHIPOUTPUTS
including8ICTTechnical
Specifications
100+ADOPTIONCASES
acrossmultipledisciplines,
organisations&countries
92GROUPSWORKINGONGLOBALDATAINTEROPERABILITYCHALLENGES
36WorkingGroups55InterestGroups
1CommunityofPractice
11,905INDIVIDUALMEMBERSFROM145COUNTRIES
69%Academia&Research14%PublicAdministration11%Enterprise&Industry
53ORGANISATIONALMEMBERS12AFFILIATEMEMBERS
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RDAGroups-Overview
14July2021 rd-alliance.org@resdatall|@rda_europe
RDAisapragmaticandagileorganization,andthroughtheworkofitsWorkingandInterestGroups,directlyandlogicallytackles
numerousdatainfrastructurechallenges.
WorkingGroups&InterestGroups:what'sthedifference?
InterestGroupsInterestgroupsareopen-endedintermsoflongevity.Theyfocusonsolvingaspecificdatasharingproblemandidentifyingwhatkindofinfrastructureneedstobebuilt.InterestGroupscanidentifyspecificpiecesofworkandstartupaWorkingGrouptotacklethose.
WorkingGroupsWorkingGroupsareshort-term(18months)andcometogethertodevelopandimplementdatainfrastructure,whichcouldbetools,policy,practicesandproductsthatareadoptedandusedbyprojects,organizations,andcommunities.Embeddedwithinthesegroupsareindividualswhowillusetheinfrastructureandhelpinmakingitbroadlyavailabletothepublic.
ReadmoreaboutRDAGroupshere
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14July2021 rd-alliance.org@resdatall|@rda_europe
Organisedby Hostedby:
https://www.rd-alliance.org/plenaries/international-data-week-2023-salzburg
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• Findable: metadata are key: generate, collect, expose
• => metadata repositories (CKAN)
• Accessible: often expected via link/http (unconditioned or conditioned)
• => object store/S3
• Interoperable: standard formats and conventions; eventually Data Typing/Registries?
• => consult on the new concepts; operate a DTR at some point?
• Reusable: for large data sets “bringing compute to data”
• => HPC Cloud or cloud computing in general
=> partially opening up the infrastructure => evolve Identity and Access Management
SOME IMPLICATIONS OF FAIR ON DATA MANAGEMENT