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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

  • The use of monitoring and evaluation in agriculture and rural development projects

    The document reviews monitoring and evaluation practises carried out in agricultural and rural development projects, financed by the World Bank.
    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

  • Managing for impact in rural development, a guide for project M&E, section 2: Using M&E to manage for impact

    This resource published by IFAD discusses how monitoring and evaluation can be used to manage projects to maximise their impact, in this case on poverty reduction.
    Resource

  • AES 2018 conference reflections: Power, values, and food

    In this guest blog, Fran Demetriou (Lirata Consulting and volunteer M&E advisor for the Asylum Seeker Resource Centre’s Mentoring Program​) shares her reflections from the recent Australasian Evaluation Society (AES)'s 2018 conference,
    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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