Programme includes:

• Neutron and Muon Source

• Synchrotron Radiation Source

• Lasers

• Space Science

• Particle Physics

• Compuing and Data Management

• Microstructures

• Nuclear Physics

• Radio Communications

STFC – Science and Technology Facilities Council

250m

ESRF & ILL, GrenobleDaresbury Laboratory

Square Kilometre Array Large Hadron Collider

The Innovation Lifecycle

The Body of Knowledge

The GovernmentProcess

The ResearchProcess

Aggregation of Knowledge lies at the heart of the innovation lifecycle

Enabling Knowledge Creation

Enabling Wealth Creation

Quality Assessment

Strategic Direction

Improved Quality of Life

Improved Understanding

Data and the Research Process

Data centric view of research

DataCreation

Archival

Access

Storage Compute

Network

Services

Curation

the researcher actsthrough ingest and access

Virtual Research Environment

the researcher shouldn’t have to worry about the information infrastructure

Information Infrastructure

PaN-Data Infrastructure for Photon and Neutron Sources

PaNdataPhoton and Neutron Data Infrastructure

Single Infrastructure Single User Experience

CapacityStorage

Publications Repositories

Data Repositories

Software Repositories

Raw Data Data Analysis

Analysed

DataPublication Data

Publications

Experiment 1

Raw Data Data Analysis

Analysed

DataPublication Data

Publications

Observation 2

Raw Data Data Analysis

Analysed

DataPublication Data

Publications

Simulation 3

Different Infrastructures Different User ExperiencesRaw Data Catalogue

Data Analysis

Analysed Data Catalogue

Publication Data Catalogue

Publications Catalogue

Proposal

Approval

Scheduling

Experiment

Data cleansing

Record Publication

Scientist submits application for

beamtime

Facility committee approves application

Facility registers, trains, and schedules

scientist’s visit

Scientists visits, facility run’s experiment

Subsequent publication registered

with facility

Raw data filtered and cleansed

Data analysis

Tools for processing made available

PaNdata - data infrastructure

The 7 C’s

Creation Collection

Capacity

Computation

Curation

Collaboration Communication

DataCreation

Archival

Access

Storage ComputeNetwork

Services

Curation

Open-Data Science Environment

• Reduction of fragmentation - leveraging of existing components (rather than

starting from scratch)

• Partnership - including users and providers of services and infrastructure.

• Open Science - including opening up access to data, analysis software and

publications, in way that is makes data verifiable and reusable.

• Open Infrastructure - built from interoperable “plug and play” components

• Supporting the entire science process – “from proposal to publication”

• Data Centric - involving Data Centres to store data, Networks to move data,

Computers to analyse data, and Publications that draw conclusions from data.

• A strong social dimension - existing consortia working together to find the best

integrated solution