Information Services is evaluating a new collaborative platform for data-science and analytics as part of its expanding portfolio of services for researchers. We are looking for researchers with suitable problems who expect to achieve results in the one-year trial. We will be able to work closely with a small number of projects to help them get the most out of the platform, and training will be available. In addition, we encourage further researchers to use the platform with less formal support.
The Aridhia AnalytiXagility Platform
AnalytiXagility is a purpose-built, user-friendly, collaborative platform for data science and analytics. It allows your team to easily create, discuss, modify and share analyses in a single, secure system accessed conveniently through a web browser.
The platform handles routine data management tasks such as confidentiality, availability, integrity and audit, reducing time to insight and discovery. In particular, it is ideally suited for:
- Exploring, comparing and linking structured datasets including data quality profiling
- Supporting data management, accountability and provenance
- Processing large datasets that do not fit in memory
Bring your team
Project members collaborate through a private workspace configured with compute, storage and analytical tools. Embedded social media tools allow teams to post and share questions, updates, comments and insights, building an active record of the research undertaken.
Bring your data
Users import their datasets using the secure and reliable file transfer mechanism, SFTP. Working files (documents, images, analysis scripts) can be uploaded directly through the web interface, and tagged for easy management and retrieval by the team.
Bring your analysis
AnalytiXagility provides an analysis platform, based on R, which can be accessed through a web browser. Combining R with an SQL database and an associated access library allows researchers to analyse their data in a faster and more scalable way than with R alone.
Generate your output
The platform supports generation of PDF reports for communication and publication using LaTeX templates, such as those provided by many leading journals, in which users can embed active analytical scripts to auto-generate images and tabular data within the report at runtime.
If you are interested in participating in the trial, please email IS.Helpline@ed.ac.uk with the subject “XAP Trial”.
Further information can be found at: