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SysMo-DB: Supporting Data Access and Integration Carole Goble, University of Manchester UK Jacky Snoep, Uni of Manchester / Stellenbosch, S Africa Isabel Rojas, EML Research gGmbH, Germany

SysMo-DB: Supporting Data Access and Integration Carole Goble, University of Manchester UK Jacky Snoep, Uni of Manchester / Stellenbosch, S Africa Isabel

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Page 1: SysMo-DB: Supporting Data Access and Integration Carole Goble, University of Manchester UK Jacky Snoep, Uni of Manchester / Stellenbosch, S Africa Isabel

SysMo-DB: Supporting Data Access and Integration Carole Goble, University of Manchester UKJacky Snoep, Uni of Manchester / Stellenbosch, S AfricaIsabel Rojas, EML Research gGmbH, Germany

Page 2: SysMo-DB: Supporting Data Access and Integration Carole Goble, University of Manchester UK Jacky Snoep, Uni of Manchester / Stellenbosch, S Africa Isabel

Goal of SysMO Eleven individual projects

Different research outcomes A cross-section of microorganisms, including

bacteria, archaea and yeast. Record and describe the dynamic molecular

processes occurring in microorganisms in a comprehensive way

Present these processes in the form of computerized mathematical models.

Pool research capacities and know-how.

Page 3: SysMo-DB: Supporting Data Access and Integration Carole Goble, University of Manchester UK Jacky Snoep, Uni of Manchester / Stellenbosch, S Africa Isabel

The crunch

No one concept of experimentation or modelling

No planned, shared infrastructure for pooling

Page 4: SysMo-DB: Supporting Data Access and Integration Carole Goble, University of Manchester UK Jacky Snoep, Uni of Manchester / Stellenbosch, S Africa Isabel
Page 5: SysMo-DB: Supporting Data Access and Integration Carole Goble, University of Manchester UK Jacky Snoep, Uni of Manchester / Stellenbosch, S Africa Isabel

SysMO-DB

Retrofit a data access, model handling and data integration platform:

To support and manage the diversity of Data and Models Competencies

That promotes shared understanding Using a common platform and common

technologies

DB

Page 6: SysMo-DB: Supporting Data Access and Integration Carole Goble, University of Manchester UK Jacky Snoep, Uni of Manchester / Stellenbosch, S Africa Isabel

Web-based solution to facilitate:exchange of data, models and

processes (intra- and inter- consortia)

search for data, models and processes across the initiative

maximisation of the "shelf life" and utility of the data, models and processes generated

dissemination of results

DB SysMO-DB

Page 7: SysMo-DB: Supporting Data Access and Integration Carole Goble, University of Manchester UK Jacky Snoep, Uni of Manchester / Stellenbosch, S Africa Isabel

Our experimental conditions…. Progressive and incremental

Something in it for me all the way along

Low hanging fruit immediately Return that matches investment

Realistic Eases pressure points and

concerns of the groups Lower barriers of engagement

Sustainable Flexible, extensible and open

Page 8: SysMo-DB: Supporting Data Access and Integration Carole Goble, University of Manchester UK Jacky Snoep, Uni of Manchester / Stellenbosch, S Africa Isabel

Exp

erim

enta

l d

ata

Mod

els

Pro

cess

es

SysMO DB

SysMO-DB Concept

SysMO-HUB web interface

Page 9: SysMo-DB: Supporting Data Access and Integration Carole Goble, University of Manchester UK Jacky Snoep, Uni of Manchester / Stellenbosch, S Africa Isabel

SysMO-DB Team

University of Stellenbosch, South AfricaUniversity of Manchester, UK

Prof Jacky Snoep

Models

EML Research gGmbH, Germany

DataMetadata

Prof Isabel Rojas

University of Manchester, UK

Processes (Workflow)

PortalInfrastructure

Prof Carole Goble

Page 10: SysMo-DB: Supporting Data Access and Integration Carole Goble, University of Manchester UK Jacky Snoep, Uni of Manchester / Stellenbosch, S Africa Isabel

SysMO-DB Team

University of Manchester, UK

WorkflowPortal

InfrastructureSoftware Engineer

Stuart Owen

University of Manchester, UK

WorkflowMetadataBioinformatician

Katy Wolstencroft

EML Research gGmbH, Germany

DatabasesMetadata

Isabel Rojas and Olga Krebs

Page 11: SysMo-DB: Supporting Data Access and Integration Carole Goble, University of Manchester UK Jacky Snoep, Uni of Manchester / Stellenbosch, S Africa Isabel

Backed up by the Rest

Page 12: SysMo-DB: Supporting Data Access and Integration Carole Goble, University of Manchester UK Jacky Snoep, Uni of Manchester / Stellenbosch, S Africa Isabel

…..and more

Page 13: SysMo-DB: Supporting Data Access and Integration Carole Goble, University of Manchester UK Jacky Snoep, Uni of Manchester / Stellenbosch, S Africa Isabel

…and more

Page 14: SysMo-DB: Supporting Data Access and Integration Carole Goble, University of Manchester UK Jacky Snoep, Uni of Manchester / Stellenbosch, S Africa Isabel

Construct pathway model in SBML

Model analysis

New hypothesis

Experimental validation

Data analysis & integration

Model update

New data

New dataPredict

Page 15: SysMo-DB: Supporting Data Access and Integration Carole Goble, University of Manchester UK Jacky Snoep, Uni of Manchester / Stellenbosch, S Africa Isabel

Construct pathway model in SBML

Model analysis

New hypothesis

Experimental validation

Data analysis & integration

Model update

Workflows

New data

New data

JWSOnline

COPASI

Workflows

SysMO Data

SABIO-RK

External Data and

Applications

Predict

Page 16: SysMo-DB: Supporting Data Access and Integration Carole Goble, University of Manchester UK Jacky Snoep, Uni of Manchester / Stellenbosch, S Africa Isabel

SysMO-Hub Portal

Data

Models

Workflows

Page 17: SysMo-DB: Supporting Data Access and Integration Carole Goble, University of Manchester UK Jacky Snoep, Uni of Manchester / Stellenbosch, S Africa Isabel

SysMO-Hub Portal

Data

Models

WorkflowsExternal Resources

Page 18: SysMo-DB: Supporting Data Access and Integration Carole Goble, University of Manchester UK Jacky Snoep, Uni of Manchester / Stellenbosch, S Africa Isabel

SysMO-Hub Portal

My Stuff

Data

Models

WorkflowsExternal Resources

Private Access

Controlled publication

Page 19: SysMo-DB: Supporting Data Access and Integration Carole Goble, University of Manchester UK Jacky Snoep, Uni of Manchester / Stellenbosch, S Africa Isabel

SysMO-Hub Portal

My Stuff

Data

Models

WorkflowsExternal Resources

Private Access

Controlled publication

Metadata

SysMO-SEEK

Access Control

Acce

ss C

ontro

lAccess Control

Access Control

Page 20: SysMo-DB: Supporting Data Access and Integration Carole Goble, University of Manchester UK Jacky Snoep, Uni of Manchester / Stellenbosch, S Africa Isabel

Stitching it together Metadata on everything

recommendations, MIBBI, our own controlled vocabularies that incrementally evolve

Web services simple interfaces that

incrementally evolve Web 2.0 style

Atom feeds, blogs, wikis, mash ups, REST

Page 21: SysMo-DB: Supporting Data Access and Integration Carole Goble, University of Manchester UK Jacky Snoep, Uni of Manchester / Stellenbosch, S Africa Isabel

JERM Web Service

Access Interface

Met

adat

a

SysMO Data Models

JERM Extractor

Met

adat

a

Met

adat

a External Resources

Web Service Access Interface

Taverna Workflows

SysMO HUB Portal (Liferay)

Met

adat

a

Workflows

SysMOSEEK

Rep

osito

ries

& R

eso

urce

sS

ervi

ceIn

terf

ace

Inte

grat

ion

Dis

cove

ry,

Acc

ess

Ann

ota

tion

&

Col

labo

ratio

nResultsCache

myE

xperim

ent

JWS Online

SABIO-RK

Met

adat

a

BioCatalogue

Access Control

Access Control

Page 22: SysMo-DB: Supporting Data Access and Integration Carole Goble, University of Manchester UK Jacky Snoep, Uni of Manchester / Stellenbosch, S Africa Isabel

Customised web portalUnified access to SysMO resources, and

integrated queries across data, workflow and model catalogues, and repositories

A common entry to the information created by the SysMO partners.

Pre-cooked queries and processesUmbrella for eGroupWare, OpenWetWare, wikis

and other solutions Liferay (http://www.liferay.com) portal framework

Web Access - SysMO-Hub

Page 23: SysMo-DB: Supporting Data Access and Integration Carole Goble, University of Manchester UK Jacky Snoep, Uni of Manchester / Stellenbosch, S Africa Isabel
Page 24: SysMo-DB: Supporting Data Access and Integration Carole Goble, University of Manchester UK Jacky Snoep, Uni of Manchester / Stellenbosch, S Africa Isabel

Data Exchanges Use existing community standards e.g:

MIRIAM: Minimum Information Requested for the Annotation of (biochemical) Models

MIAME: Minimum Information for the Annotation of Microarray Experiments

MIAPE: Minimum Information for the Annotation of Proteomics Experiments

SBML: Systems Biology Markup Language Definition of minimal sets for information

exchange within the consortia

Page 25: SysMo-DB: Supporting Data Access and Integration Carole Goble, University of Manchester UK Jacky Snoep, Uni of Manchester / Stellenbosch, S Africa Isabel

Data and Metadata “Just Enough Results Model”

minimum metadata for exchange Where storage solutions exist

Expose through JERM

Where storage solutions do not exist SABIO-RK, iChiP, Brenda, MeMo and

many more JWS Online, BioModels COPASI myExperiment

Ontologies, catalogues and controlled vocabularies for annotation

SysMO SEEK: Registry

JERM Web Service

Access Interface

Met

adat

a

SysMO Data

JERM Extractor

SABIO-RK

Access Control

Page 26: SysMo-DB: Supporting Data Access and Integration Carole Goble, University of Manchester UK Jacky Snoep, Uni of Manchester / Stellenbosch, S Africa Isabel

Discovery SysMO-SEEKSelf-curated, access-controlled catalogue of

assets to promote cooperationMetadata database (who has what)

Progressive refinement Projects, Group, Provenance, Files It will NOT hold results.

Meta catalogue Search over other catalogues BioCatalogue, myExperiment, JWS Online,

BioModelsIs itself a web service

Incorporate in your own group ware environments and applications

Page 27: SysMo-DB: Supporting Data Access and Integration Carole Goble, University of Manchester UK Jacky Snoep, Uni of Manchester / Stellenbosch, S Africa Isabel

SysMO SEEK Is there any group generating kinetic data? Is this data available? Who is working with which organism? What methods are been used to determine

enzyme activity? Under which experimental conditions are my

partners working on for the measurement of glucose concentration?

and many more

Page 28: SysMo-DB: Supporting Data Access and Integration Carole Goble, University of Manchester UK Jacky Snoep, Uni of Manchester / Stellenbosch, S Africa Isabel

Models Publish, manage, run, validate JWS Online

Database of curated models and a simulator Web service enabled

Each SysMO projects will have a separate password protected website.

Page 29: SysMo-DB: Supporting Data Access and Integration Carole Goble, University of Manchester UK Jacky Snoep, Uni of Manchester / Stellenbosch, S Africa Isabel

Processes - Workflows Applications and services become

accessible to the workflow machinery as Web services or Java applications.

Data and application integration and analysis

Model construction and population Repeatable and shareable plan Transparent provenance log Taverna Workflow Management

System

Page 30: SysMo-DB: Supporting Data Access and Integration Carole Goble, University of Manchester UK Jacky Snoep, Uni of Manchester / Stellenbosch, S Africa Isabel

Processes Technology

Taverna

myExperiment.org

Page 31: SysMo-DB: Supporting Data Access and Integration Carole Goble, University of Manchester UK Jacky Snoep, Uni of Manchester / Stellenbosch, S Africa Isabel

Example - Manipulation of SBML models in workflows Using libSBML

For data integration For constructing and

annotating SBML models

libSBML written in C then wrapped with a Java API

Page 32: SysMo-DB: Supporting Data Access and Integration Carole Goble, University of Manchester UK Jacky Snoep, Uni of Manchester / Stellenbosch, S Africa Isabel

Related Activities BioCatalogue

Community and Expert Curated Catalogue of Life Science Web Services

Started June 2008. Target Practice

Informatic and metabolomic assessment of biological network changes and of drug-cell interactions

Utopia, Taverna workflows Solutions held by SysMO partners

eGroupWare, PHProjekt, Basecamp, wikis etc

Page 33: SysMo-DB: Supporting Data Access and Integration Carole Goble, University of Manchester UK Jacky Snoep, Uni of Manchester / Stellenbosch, S Africa Isabel
Page 34: SysMo-DB: Supporting Data Access and Integration Carole Goble, University of Manchester UK Jacky Snoep, Uni of Manchester / Stellenbosch, S Africa Isabel
Page 35: SysMo-DB: Supporting Data Access and Integration Carole Goble, University of Manchester UK Jacky Snoep, Uni of Manchester / Stellenbosch, S Africa Isabel
Page 36: SysMo-DB: Supporting Data Access and Integration Carole Goble, University of Manchester UK Jacky Snoep, Uni of Manchester / Stellenbosch, S Africa Isabel

Training, Consultancy, Know-how Us:

Training on databases, models, workflow systems and web services, and best practice for the annotation of resources by metadata.

Kick-starting, toolkits, templates You:

Social networking for shared content, know-how and best practice

Contribution Best of breed solutions in place

already

User Focus Group of PALS

PhD Students and Post Docs

Page 37: SysMo-DB: Supporting Data Access and Integration Carole Goble, University of Manchester UK Jacky Snoep, Uni of Manchester / Stellenbosch, S Africa Isabel

Pals

Page 38: SysMo-DB: Supporting Data Access and Integration Carole Goble, University of Manchester UK Jacky Snoep, Uni of Manchester / Stellenbosch, S Africa Isabel

1 Falko Krause TRANSLUCENT Bioinformatics Berlin, Germany

2 Leif Steil BaCell-SysMO Experimentalist,

databases

??

3 Walter Glaser MOSES Bioinformatician Vienna, Austria

4 Malkhey Verma MOSES + SulfoSys Experiment/

modeller interface

Manchester, UK

5 Femke Mensonides MOSES + SulfoSys Experiment/

modeller interface

Vrije University, Netherlands

6 Hanan Messiha Girgis MOSES Experimentalist Manchester, UK

7 Pawel Sierocinski SulfoSys Experimentalist Wageningen, Netherlands

8 Maria Rodrigues KOSMOBAC Modeller Vigo. Spain

9 Afsaneh Maleki-Dizaji SUMO Bioinformatician Sheffield, UK

10 John Heap COSMIC Experimentalist Nottingham, UK

11 Walid Omar STREAM Experimentalist Warwick, UK

12 Elon Correa Valla Modeller Manchester, UK

13 Renate Kania SysMO-LAB Database EML, Germany

14 Mark Musters SysMO-LAB Modeller Wageningen, Netherlands

15 Terry McGenity’s postdoc? PSysMO Experimentalist Essex, UK

16 Maksim Zakhartsev MOSES Experimentalist Stuttgart, Germany

Page 39: SysMo-DB: Supporting Data Access and Integration Carole Goble, University of Manchester UK Jacky Snoep, Uni of Manchester / Stellenbosch, S Africa Isabel

Hands OnWhich data do you need to exchange?

i.e. What do you need, what can you give? What are the minimal exchange formats?How to best to annotate your data (giving

semantics to your data)?How to cross-relate different types of data

(e.g. Genomic, Transcriptomic, Proteomic, Metabolomic, Kinetic, and modelling data)

What should be in the SysMO SEEK?What should the portal look like?

Page 40: SysMo-DB: Supporting Data Access and Integration Carole Goble, University of Manchester UK Jacky Snoep, Uni of Manchester / Stellenbosch, S Africa Isabel

Steps so far….Questionnaire Current situation in each project Contribute to design of work packages Responses from:

Project 1: BaCell-SysMO Project 2: COSMIC Project 3: SUMO Project 4: KOSMOBAC Project 6: Psysmo Project 7: Pseudomonas fluorescens Project 9: Translucent Project 10: Streptomyces coelicolor Project 11: Silicon cell model

Page 41: SysMo-DB: Supporting Data Access and Integration Carole Goble, University of Manchester UK Jacky Snoep, Uni of Manchester / Stellenbosch, S Africa Isabel

……..Results A spectrum of resources and data management and integration expertise

Each project is concerned with data, models and processes, but each partner may not do all

All projects are concerned with sharing between their sites.

Some are not yet ready to share with all of SysMO. Respect privacy. Governance.

Page 42: SysMo-DB: Supporting Data Access and Integration Carole Goble, University of Manchester UK Jacky Snoep, Uni of Manchester / Stellenbosch, S Africa Isabel

Produced on site and stored in files or excel spread-sheets

Not consolidated between group members or project members. No common database solutions;

Only who and when produced. Does not to conform to existing minimum metadata ‘omics standards

Google search over basic indexing

Common format or in a database or repository

Group members and project partners, but not the rest of SysMO or outside

Annotation of data, may be free-text, but may not conform to existing standards.

Google search over basic indexing and annotations.

Stored and indexed in relational databases from consortium or other formats

Project partners & SysMO but not outside. Some web service interface access to data resources

Minimum metadata standards

Fully searchable

Stored and indexed in relational databases, using databases from consortium or using other formats

Fully searchableProject partners, SysMO & the Systems Biology community via web services and data services. Some data exported to public repositories

Minimum metadata standards

Storage Access Annotation DiscoveryData

Page 43: SysMo-DB: Supporting Data Access and Integration Carole Goble, University of Manchester UK Jacky Snoep, Uni of Manchester / Stellenbosch, S Africa Isabel

Model

Data but No Models

Models are developed in a non-SBML format and are not converted to SBML.

None Models are submitted to JWS online in their native format

Models are developed in SBML, or in another format, and converted into SBML

Little or no annotation of the models using current standards, such as, MIRIAM

Models are submitted to JWSOnline in SBML

Models are submitted to JWS online.

Models are developed in SBML

Fully annotated using MIRIAM

Representation Annotation Access

Page 44: SysMo-DB: Supporting Data Access and Integration Carole Goble, University of Manchester UK Jacky Snoep, Uni of Manchester / Stellenbosch, S Africa Isabel

All processes are manual with no scripted pipelines or workflows;

Some data may also be gathered from external sources,

Data is produced and stored locally

No automation of routine processes

No reference to external resources

Data used for models by other groups in same project or locally

Some of gathering or model population automated workflows

Some web service interfaces to locally generated data and tools

Some of gathering or model population is mediated by workflows

Verifying simulation results against experimental data is mediated by workflows.

Web service interfaces to all locally generated data and tools

Workflows are annotated and published on myExperiment for SysMO consortium members.

Processes

Page 45: SysMo-DB: Supporting Data Access and Integration Carole Goble, University of Manchester UK Jacky Snoep, Uni of Manchester / Stellenbosch, S Africa Isabel

Silver or Gold Pilots Project 1 BaCell-SysMo

Produce datasets, use models, workflow ready Project 7 Pseudomonas fluorescens and Project 6 Psysmo

Pseudomonas organisms, use third party data sets and produce their own, model ready, workflow ready

Project 10 Streptomyces coelicolor Omics and standards compliant, use third party standard data, workflow

ready, model standards skeptic but use models Project 3 SUMO

Produce own data and own models, have their own wiki for sharing data, workflow ready and model ready, using COPASI

MOSES (though no questionnaire) Local, using models, produce their own data, similar work in Target

Practice using UTOPIA and Taverna workflows already SulfoSYS

Data solutions, eGroupWare Project 9 TRANSLUCENT

Our first Pal! Protein-protein interaction data. PHProjekt SysMOLab and MeMo (though no questionnaire)

Wikis, SABIO-RK, etc

Page 46: SysMo-DB: Supporting Data Access and Integration Carole Goble, University of Manchester UK Jacky Snoep, Uni of Manchester / Stellenbosch, S Africa Isabel

Bronze Data Pilot

Data storage solutions for project partners who need it

Many work mainly with Excel or flat files Need data storage first to disseminate to

others and start collaborating KOSMOBAC (Booth) Group

Page 47: SysMo-DB: Supporting Data Access and Integration Carole Goble, University of Manchester UK Jacky Snoep, Uni of Manchester / Stellenbosch, S Africa Isabel

Development Approach

You already got something, we will not reinvent.

Development and deployment of all components will be incremental Metadata specs SW rapid prototyping

Leverage Limited -> Sophisticated Cater for different levels of

readiness Customised for each project

Page 48: SysMo-DB: Supporting Data Access and Integration Carole Goble, University of Manchester UK Jacky Snoep, Uni of Manchester / Stellenbosch, S Africa Isabel

Comprehensive up to date audit and list of meetings. First cut Hub and SEEK

Project areas set up & access control scheme SysMO-SEEK of data assets & projects with interface Collection of queries/use cases for SEEK and Hub

Data With Gold and Silver pals define the first cut JERM With Bronze pal identify storage solution Establish best practices on data annotation Prepare two or three SysMO datasets for workflow readiness

Models and Workflows Access to JWS Online and myExperiment Seed with SysMO-specific workflows and models Identify useful workflow packs

Engagement Project web site and wiki Build up our PALS team Visits and training timetable JERM and SEEK workshop

First Steps – end October 2008

Page 49: SysMo-DB: Supporting Data Access and Integration Carole Goble, University of Manchester UK Jacky Snoep, Uni of Manchester / Stellenbosch, S Africa Isabel

JERM and SEEK Workshop First Pals face 2 face 18-19 September 2008 EML, Heidelberg, Germany Facilitated

Preparation: Audit Sweet spots & pains

In Meeting: SysMO-SEEK Just Enough Results Model for Exchange

Page 50: SysMo-DB: Supporting Data Access and Integration Carole Goble, University of Manchester UK Jacky Snoep, Uni of Manchester / Stellenbosch, S Africa Isabel

Audit The repositories you use now and plan to use to store your experimental

data: home grown; standard; public; private The other repositories you use now and plan to use The data formats you use now and plan to use The SOPs you have in place or plan to The software you use for data management, group ware & project

management, model simulation etc: e.g. Rosetta, Oracle, Matlab, R, Mathematica, eGroupware, PHProjekt, wikis

Software you have that would be of benefit to all, and are willing to share – e.g. Falko’s Semantic SBML tool, MCISB SBML annotation tool

The programming and software environments you use – e.g: Java, Python, C++, Ruby on Rails, Perl

Your local expertise available for data management e.g. full time bioinformatician, database manager, commercial outsourcing, none

What facilities do you have for coping with external access – how do you export data now?

Design a systematic collection mechanism with two of the pals Wiki mining

Page 51: SysMo-DB: Supporting Data Access and Integration Carole Goble, University of Manchester UK Jacky Snoep, Uni of Manchester / Stellenbosch, S Africa Isabel

Sweet spots and Pains Confidentially……in your humble opinion….

What would be the first three low hanging fruit for your project?

And what are three obstacles / barriers? Tell us about your experimentalists,

modellers and bioinformaticians What doesn’t work right now? What does?

Page 52: SysMo-DB: Supporting Data Access and Integration Carole Goble, University of Manchester UK Jacky Snoep, Uni of Manchester / Stellenbosch, S Africa Isabel

SysMO-SEEK - not the results themselves

What schemas or metadata do you have for groupware, projects, SOPs, procedures we can use as a basis for the SEEK model and for sourcing the content? How do you know who has what and what are they doing?

What controlled vocabularies do you use for this if any?

Which data do you need / would like to know from others in SysMO and outside SysMO?

What data would you be willing to give? What is the data release policy of your project?

Availability, conditions of use, permissions, credit etc What is the lifecycle of your data

Versioning policy,

Page 53: SysMo-DB: Supporting Data Access and Integration Carole Goble, University of Manchester UK Jacky Snoep, Uni of Manchester / Stellenbosch, S Africa Isabel

Just Enough Results Model Exchange Which data do you need / would like to know

from others? What data would you be willing to give? How do you annotate your data?

How do you cross relate different types of data?

What standards for data do you already use and know about?

Page 54: SysMo-DB: Supporting Data Access and Integration Carole Goble, University of Manchester UK Jacky Snoep, Uni of Manchester / Stellenbosch, S Africa Isabel

Revised Hub and SEEK Enhanced SysMO-SEEK of data assets & projects

Data Gold and Silver - the first JERM interface Access to a few data sets through Hub using JERM Bronze - established a storage solution JERM-based SysMO datasets for workflow readiness Disseminate best practices on data annotation

Models and Workflows Models and Workflows on JWS Online and myExperiment Demoed workflow using data sets through JERM interface Useful workflow packs & launch workflows from portal

Engagement Devising next steps with PALS team Visits and training timetable

First Steps end March 2009

Page 55: SysMo-DB: Supporting Data Access and Integration Carole Goble, University of Manchester UK Jacky Snoep, Uni of Manchester / Stellenbosch, S Africa Isabel

Back up TeamsBack up Teams

PALS and DMG

Data Management

Group

SysMO-DB Delivery Team

Back up Technical TeamsSysMO-Pals

FundersSteeringReviewGovernance

Hands on engagement

SysMO Projects

Page 56: SysMo-DB: Supporting Data Access and Integration Carole Goble, University of Manchester UK Jacky Snoep, Uni of Manchester / Stellenbosch, S Africa Isabel

Realism

Page 57: SysMo-DB: Supporting Data Access and Integration Carole Goble, University of Manchester UK Jacky Snoep, Uni of Manchester / Stellenbosch, S Africa Isabel

•Light touch•Incremental•One size will not fit all•Use what is already there