MPCDF & RDA

Raphael Ritz

Max Planck Computing and Data Faci l i ty

5 t h NFDI Neuroscience Community Workshop

14. July 2021

MPCDF & RDA

•  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

RDAGroups-Overview


RDAisapragmaticandagileorganization,andthroughtheworkofitsWorkingandInterestGroups,directlyandlogicallytackles

numerousdatainfrastructurechallenges.

WorkingGroups&InterestGroups:what'sthedifference?

InterestGroupsInterestgroupsareopen-endedintermsoflongevity.Theyfocusonsolvingaspecificdatasharingproblemandidentifyingwhatkindofinfrastructureneedstobebuilt.InterestGroupscanidentifyspecificpiecesofworkandstartupaWorkingGrouptotacklethose.

WorkingGroupsWorkingGroupsareshort-term(18months)andcometogethertodevelopandimplementdatainfrastructure,whichcouldbetools,policy,practicesandproductsthatareadoptedandusedbyprojects,organizations,andcommunities.Embeddedwithinthesegroupsareindividualswhowillusetheinfrastructureandhelpinmakingitbroadlyavailabletothepublic.

ReadmoreaboutRDAGroupshere


Organisedby Hostedby:

https://www.rd-alliance.org/plenaries/international-data-week-2023-salzburg

•  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

Documents

MPCDF & RDA