From REDm-MED Archive

  • End of REDm-MED Project

    End of REDm-MED Project

    As you may have gathered from an earlier post, the REDm-MED project successfully concluded in June 2012. As a result, the time has come to close the blog; it will still be around for reference but there won’t be any new posts or comments. You can still see a full list of project outputs on [...]

    Full Story

  • RAIDmap documentation on SourceForge

    RAIDmap documentation on SourceForge

    The RAIDmap Application User Guide and RAIDmap Application Developer Guide have been converted and can now be read on the RAIDmap wiki on SourceForge. In the long term, this will make it easier to update the documentation when changes are made to the software. If anyone is interested in developing RAIDmap further, please just put [...]

    Full Story

  • RAIDmap: coming to a computer near you

    RAIDmap: coming to a computer near you

    The wait is finally over! RAIDmap, the piece of software we have been developing in REDm-MED, is now available for early adoption from SourceForge. RAIDmap is an adaptation of the Compendium information mapping software, tailored for use as a data documentation tool. It uses the National Library of New Zealand’s Metadata Extractor to collect information [...]

    Full Story

  • Deliverables behaving just like Buses; arriving all at once!

    Deliverables behaving just like Buses; arriving all at once!

    As promised by my esteemed colleague Alex Ball, here are some more REDm-MED deliverables, arriving not quite in numerical order. As Alex said, Deliverable 3, A Research Data Management Plan for Engineering Research, is a generic departmental data management plan based on Deliverable 2. And then we have the [...]

    Full Story

  • Deploy along with REDm-MED

    Deploy along with REDm-MED

    The REDm-MED Project has released its third (or is it fourth?) deliverable: a summary of the infrastructure components needed to support data management in the Department of Mechanical Engineering at the University of Bath.

    Full Story

  • Demonstrating RAIDmap

    Demonstrating RAIDmap

    On 23 March 2012, Uday Thangarajah and I gave a demonstration of the RAIDmap tool at a JISC workshop entitled ‘Meeting (Disciplinary) Challenges in Research Data Management Planning’. The slides and script I prepared for this demonstration are now available. RAIDmap is a software tool we have been developing that provides a simple and intuitive way [...]

    Full Story

  • A Departmental Data Management Plan

    A Departmental Data Management Plan

    The REDm-MED Project has produced its second deliverable: A Research Data Management Plan for the Department of Mechanical Engineering, University of Bath. This document begins the work of satisfying the Requirements Specification that formed the Project’s first deliverable. The plan has two main sections. The first explains how to use data management plans at the project level: [...]

    Full Story

  • Requirements for Data Management Planning

    Requirements for Data Management Planning

    The REDm-MED Project has produced its first deliverable: the Research Data Management Plan Requirements Specification for the Department of Mechanical Engineering, University of Bath. The meat of the document is a table that lists a series of requirements for research data management, and for each one provides the rationale for the requirement, the rôle (principal investigator, researcher, [...]

    Full Story

  • Sharing is so Nice

    Sharing is so Nice

    Some quite nice stories are beginning to emerge from the Department of Mechanical Engineering related to the benefits (and to a lesser extent difficulties) of sharing data. This is of interest because non-data-sharing seems to be the current default. Here are a couple from the horse’s mouth. Two data sets, the core of which were in [...]

    Full Story

  • Scoping Data Management: inflation, inflation!

    Scoping Data Management: inflation, inflation!

    I recently asked a PI how much data space he thought he and his team of researchers might need over, say, the next two years. Based on his current research he thought perhaps, 1-2 GB per project would be about right on average, although he did have one anomalous project the raw data for which [...]

    Full Story