DATA MANAGEMENT PLAN IN THE REAL LIFE SCIENCES

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1 DATA MANAGEMENT PLAN IN THE REAL LIFE SCIENCES Yvan Le Bras Cyril Monjeaud Olivier Collin Jacques Nicolas CNRS UMR 6074 IRISA-INRIA

2 Context Now : Genomics : Next Generation Sequencing Now : Proteomics Next : Bio-imaging Kahn. On the future of genomic data. Science (2011) vol. 331 (6018) pp Digital data Huge amount Heterogenous Critical situation for some laboratories

3 Context Exchange from one domain to another From ICT / IT to scientific domains Between scientific domains Life science integrators e-science integrators

4 E-BIOGENOUEST From the e-biogenouest project to the first french e- Science center : CeSGO

5 E-Biogenouest Started in May 2012 for 3 years Funded by Brittany and Pays de la Loire E-science initiative for the Biogenouest network Test an e-science approach Roadmap preparation

6 E-Biogenouest Started in May 2012 for 3 years Funded by Brittany and Pays de la Loire E-science initiative for the Biogenouest network Test an e-science approach More than 120 scientists trained! 1669 meetings ;) Roadmap preparation -UEB C@mpus -CPER -FRM -INCa -H2020 Health 7 submitted publications Agro Environment IT More than 200 users! An innovative VRE concept -Mission interdisciplinarité CNRS -PIA -IFB -Fce Génomique -Rapsodyn -Sciences citoyennes

7 VRE: a tool for e-science application Virtual Research Environment Data User Web portal Collaboration softwares Community Processing resources

8 An innovative VRE approach Research Lifecycle Open source solutions Mutualise Don t reinvente the wheel win win Break down silos

9 Continuum HubZero Galaxy EMME Communauté Continuum data management & analysis Collaborative environment Collaboration

10 HUBzero : Scientifique collaborative platform ebgo HUB HUBzero to share knowledge and manage groups and projects Informations 218 users 111 projects 53 groups 729 resources > 400 uniq users uniques by month Purdue University M. McLennan, R. Kennell. Comput Sci Eng, 12:48-53, 2010.

11 ISAtools : Experimental data management EMME ISAtools suite to store data & metadata Fonctionalities -based on biomed ontologies -bridge between existing biomed standards -format publication submission -Pydio to upload data -biological investigation repository (data + metadata) Oxford eresearch Centre P. Rocca-Serra et al. Bioinformatics, 26;254(6), 2010

12 Galaxy : Data analysis web platform GALAXY by GenOuest To analyse & share data as processes and tools Informations jobs 150 users More than 800 outils Share - data - histories - workflows - tools Penn state university J. Goecks, A. Nekrutenko, J. Taylor, et al. Genome Biol, 25;11(8):R86, 2010

13 Pydio : File sharing platform Pydio by GenOuest To store & share data as links Informations -Galaxy workspace -EMME workspace -INCa workspace Share - data via URI - control - safety - privacy Abstrium SAS Charles du jeu, David Gillard et al.

14 What are our goals? For society Open Science and open data For end users scientists communities Data management plan Preserve, access, share & visualise (data & analytics porocesses) Help for project management For ICT Facilitate the use of tools Research Service Accelerate switch between dev to production state Optimise infrastructures use (storage, computing & network ) Infrastructure for data infastructure of data

15 DMP ON THE LINE From data storage to publication

16 CeSGO : Data storage

17 Data storage

18 Data storage URL generation

19 Metadata management

20 Metadata management

21 Metadata management Configuration

22 Metadata management Configuration

23 Metadata management Configuration

24 Metadata management Configuration

25 Metadata management Configuration

26 Metadata management Configuration

27 Metadata management Isacreator

28 Metadata management Isacreator

29 Metadata management Isacreator: genomespace

30 Metadata management Isacreator: local

31 Metadata management Isacreator: choose a config

32 Metadata management Isacreator: existing isatab

33 Metadata management Isacreator: existing isatab

34 Metadata management Isacreator: existing isatab

35 Metadata management Isacreator: Investigation

36 Metadata management Isacreator: Study

37 Metadata management Isacreator: Study 1

38 Metadata management Isacreator: Assay 1

39 Metadata management Isacreator: Assay 1 / Data

40 Metadata management Isacreator: Study

41 Metadata management Isacreator: create an ISArchive

42 Metadata management Isacreator: Study

43 Data analysis Metadata & data analysis: Galaxy

44 Data analysis Metadata & data analysis: Galaxy / Import ISArchive

45 Data analysis Metadata & data analysis: Galaxy / Import ISArchive

46 Data analysis Metadata & data analysis: Galaxy / Extract ISArchive

47 Data analysis Metadata & data analysis: Galaxy / Extract ISArchive

48 Data analysis Metadata & data analysis: Galaxy / Extract ISArchive

49 Data analysis Metadata & data analysis: Galaxy / Extract ISArchive

50 Data analysis Metadata & data analysis: Galaxy / Download data

51 Data analysis Metadata & data analysis: Galaxy / Download raw data

52 Data analysis Metadata & data analysis: Galaxy / Extract ISArchive

53 Data analysis Metadata & data analysis: Galaxy / Extract ISArchive

54 Metadata repository Metadata repository: Bii

55 Metadata repository Metadata repository: Bii 1 study

56 Metadata repository Metadata repository: Bii Data via URL / Protocols

57 CeSGO & DMP Données administratives Dénomination du projet Description du projet Nom / ID du responsable Agence de financement Version du DMP Politique appliquée aux données Responsabilités et ressources Collecte / création de données Description du jeu de données Protocole Méthode Equipements Assurance qualité appliquée Documentation et métadonnées Entrepôt Bii Standard de métadonnées : ISA-TAB

58 CeSGO & DMP Stockage, sauvegarde et sécurité des données Datacenter CeSGO pendant la durée du projet (max : 5 ans) Ethique et cadre légal Protection des données sensibles ou personnelles CC version 4.0 Partage des données Accès libre ou restreint Délai : 3 ans max après leur collecte Entrepôts (GEO, Genbank, SRA, Uniprot, PRIDE,.) Outils nécessaires à la réutilisation / validation des données Data paper Sélection et archivage des données

59 CESGO: 5 GOALS From Data Mangement to Accessibility

60 CeSGO : Western France e-science metadata Data management URI Life sciences protocols

61 CeSGO : Western France e-science New VREs! Open Data

62 CeSGO : Western France e-science New VREs! Connected using semantic web approaches Thanks to DOI attribution Linked Data

63 CeSGO : Western France e-science cloud Reproducibility Galaxy versioning docker

64 CeSGO : Western France e-science wiki Accessibility Analytics processes Public resources Experiments Publications

65 Merci de votre attention La plate-forme Bio-informatique GenOuest Le groupe Symbiose IRISA/INRIA GenOuest-Dyliss-Genscale ebgo HUB (collaboration) Scitizen portal (citizen science) EMME portal (data management) Galaxy instance (data analysis) GO4Bioinformatics (education )

66 CeSGO : Western France e-science New VREs!

e-biogenouest : The Tools

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