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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.
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  • UK Data Archive

    The UK Data Archive is the UK's largest collection of digital research data in the social sciences and humanities.
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  • 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.
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  • 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. 
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  • The role of research in pro-poor dairy policy shift in Kenya

    This working paper forms part of the International Livestock Research Institute’s (ILRI’s) and Overseas Development Institute’s (ODI’s) ‘Process and Partnership for Pro
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  • Designing and facilitating creative conversations & learning activities

    This resource is a companion to The Barefoot Guide 2: ​Learning Practices in Organisations and Social Change, providing a practical support guide for designing and facilitating engaging and productive conversations and learning experiences.
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  • Dialogues

    Dialogues refer to a range of learning conversations that go beyond knowledge transfer to include knowledge articulation and translation.
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  • Six thinking hats

    The Six Thinking Hats method encourages participants to cycle through six different ways of thinking, using the metaphor of wearing different conceptual “hats”.
    Method
  • 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’.
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  • 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.
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