cRunch
cRunch provides an infrastructure for exploratory data analysis with the statistical programming language and environment R. cRunch helps users to create 'living reports' with embedded data and processing scripts. A small 'data shop' helps in releasing data sets to the public. cRunch is optimised for in-core calculations of computationally-intense problems.
Provider
Knowledge Media Institute, Open University.
Licensing and cost
Offered for free (on a fair-use basis) to researchers. The components out of which cRunch is built are open source.
Development Activity
cRunch runs the RStudio server (currently version v0.97.551). cRunch is further developed within the TELL-ME project, which is partially funded by the European Commission.
Platform and interoperability
cRunch incorporates open source components including
- RStudio;
- RApache;
- knitr.
Documentation and user support
The cRunch wiki contains notes, tutorials and how-to pages.
Usability
The cRunch Studio runs in a regular web browser.
Expertise required
Some knowledge of R is required, though this can picked up fairly quickly by anyone with a basic knowledge of any other programming or scripting language.
Standards compliance
There are more than 6800 packages for R, many of which implement open standards. For example, the tm architecture offers an alternative to other natural language processing frameworks (such as the ones offered in Java or Python).
Influence and take-up
cRunch currently has a small, but growing community of a bit more than 100 analytics developers gathered around it.
- Home
- Digital curation
- About us
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- Resources
- Briefing Papers
- Introduction to Curation
- Annotation
- Appraisal and Selection
- Curating Emails
- Curating e-Science Data
- Curating Geospatial Data
- Data Accreditation
- Data Citation and Linking
- Data Protection
- Database Archiving
- Digital Repositories
- Freedom of Information
- Genre Classification
- Interoperability
- Persistent Identifiers
- Trust Through Self Assessment
- Using OAIS for Curation
- Web 2.0
- What is Digital Curation?
- Common Directions in Research Data Policy
- 5 Steps to Research Data Readiness
- Citizen Science
- Making the Case for RDM
- Legal Watch Papers
- Standards Watch Papers
- Technology Watch Papers
- Introduction to Curation
- How-to Guides & Checklists
- Appraise & Select Research Data for Curation
- Cite Datasets and Link to Publications
- Develop RDM Services
- Develop a DMP
- Discover Requirements
- Five Steps to Decide What Data to Keep
- Five Things You Need to Know About RDM and the Law
- License Research Data
- Track Data Impact with Metrics
- Using RISE
- Where to keep research data
- Write a Lay Summary
- Developing RDM Services
- Reviewing research data platform capabilities at CISER
- Using EPrints to Build a Repository for UEL
- Assigning DOIs at Bristol
- DMPs in the Arts and Humanities
- Improving RDM at Monash
- Improving Research Visibility
- Increasing Participation in Training
- RDM Training for Librarians
- RDM strategy: moving from plans to action
- Storing and Sharing Data in Hull
- Curation Lifecycle Model
- Curation Reference Manual
- Peer review
- Editorial Board
- Completed chapters
- Appraisal and Selection
- Archival Metadata
- Archiving Web Resources
- Automated Metadata Generation
- Curating Emails
- File Formats
- Investment in an Intangible Asset
- Learning Object Metadata
- Metadata
- Ontologies
- Open Source for Digital Curation
- Preservation Metadata
- Preservation Scenarios for Projects Producing Digital Resources
- Preservation Strategies
- Principles for Enabling Access to Engineering Design Information Through Life
- Scientific Metadata
- The Role of Microfilm in Digital Preservation
- Chapters in production
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- Tools
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- External resources
- Online Store
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- Tailored support
