Powerful features to bring people, data and expertise together within a secure, collaborative environment.

I want to Collaborate

Transform your data and expertise into intelligence, together

  • Secure, web-based, anytime, anywhere collaborative analytics across boundaries
  • Comprehensive user profiles that support team interaction
  • Embedded team-based communication features including sharing, tagging, blogging, comments and insights, making it easy to discuss, share, and track idea and knowledge sharing
  • Customisable homepages that create community and strengthen project identity for participants
  • Clinical trial folder structures to support efficient trial management, audit and inspection
  • Self-service user management to control workspace access

In an Audited and Secure Information Governance Environment

Ensure compliance with built-in access, audit and security features

  • Multi-factor authentication to ensure the security of confidential data
  • Role-based permissions model with multiple levels of access-controlled user profiles
  • Extensive activity reporting, tracking all access to files and data including exports out of the workspace
  • Downloadable audit log for self-service offline analysis
  • Automatic virus scanning on all files and data loaded into the workspace
  • Managed data export using audited, approvals-based download request facility
  • Encryption in flight and optionally at rest

That facilitates Data Ingest and Transformation

Streamline the research lifecycle from data upload to analysis

  • Simple point and click data import
  • SFTP for secure bulk import of sensitive data
  • File upload approval and optional authorisation referencing to confirm consent
  • Custom file transfer mechanisms (e.g. from genomics labs) where required
  • Automatic table mapping for CSV files and optional table definition file upload
  • Comprehensive meta information and external reference recording at the point of data upload
  • Integrated eCRF to aid compliance with Good Clinical Practice (GCP) guidelines on data collection
  • Data de-identification service to enable the safe sharing and analysis of clinical data
  • Ontology service to improve interoperability and data sharing
  • Data catalogue to support data discovery (CKAN)

Offers the broadest Analytics Workbench

Accelerate experimentation with a highly flexible and extensible toolkit for novices to experts

  • Point and click data exploration and visualisations (bar chart, histogram, heat map, box plot, time series) and database joins (inner, left, right outer)
  • Interactive R console with scripting and package management
  • Prototyping ‘mini-apps’ using R Shiny to support visualisation and commercialisation
  • SQL programming with analytical extensions (OLAP, windowing)
  • Built-in statistical and parallel machine learning library for in-database analytics (MADlib)
  • Easy access to Windows or Linux virtual desktops from the web interface, customisable with pre-installed templates or install your own software option
  • Integrated PDF viewer
  • Straightforward LaTex publishing with built-in journal templates

Supports my Reproducibility challenges

Effortlessly capture project data and code to address the challenges of peer review and validation

  • Version control to ensure the appropriate level of change control and asset management
  • File locking to safeguard files and help manage their lifecycle
  • Snapshot capability to create points-in-time in research activities
  • Archiving for reproducibility purposes, or as a funding requirement
  • Traceable insights and communication features

And gives access to world-class Compute and Data Fabric technologies

Expedite data innovation with the latest infrastructure supported by a rigorous, SLA-backed service

  • Scalable storage and compute from projects from small to large
  • Analytics at scale with Pivotal’s massively parallel processing Greenplum database.
  • Structured and unstructured big data processing with Hadoop, Hadoop MapReduce and Hadoop Pig