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  • Australian Data Archive

    The Australian Data Archive provides facilities for collecting and archiving digital research data, which are then made available to secondary users and researchers.
    Resource

  • UK Data Archive

    The UK Data Archive is the UK's largest collection of digital research data in the social sciences and humanities.
    Resource

  • Considerations for using data responsibly at USAID

    The aim of this resource is to provide a framework for identifying and understanding risks associated with the collection and use of data.
    Resource

  • Data value map

    The purpose of the Data Value Map is to spark new conversations and new thinking about how data initiatives can add value to an organisation. 
    Resource

  • Demonstrating outcomes and impact across different scales

    This research report from the Research for Development Impact Network demonstrates how evidence of outcomes and impact can be better captured, integrated and reported on across different scales of work for Australian NGOs working in interna
    Resource

  • Week 35: What is Visionary Evaluation?

    Today we start a series on "visionary evaluation" - the theme of the 2014 American Evaluation Association conference in October.
    Blog

  • Week 36: Systems thinking

    This is #2 in our series on visionary evaluation. This year’s AEA Conference theme is visionary evaluation – systems thinking, equity and sustainability.  Which begs the question what is systems thinking?
    Blog

  • Week 37: Why is equity so important in evaluation?

    This is #3 in our series on visionary evaluation.  
    Blog

  • Responsible data stewardship

    This report from the Open Data Institute discusses key concepts including ‘data stewardship’, ‘data ethics’, ‘data justice’ ‘data for good’ ‘responsible data’, ‘data sovereignty’, ‘Indigenous data sovereignty’, and ‘data feminism’.
    Resource

  • Data cleaning 101

    This paper from the Robert Wood Johnson Medical School outlines a step-by-step process for verifying that data values are correct or, at the very least, conform to a set of rules through the use of a data cleaning process.
    Resource

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