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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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  • Avaliação para o investimento social privado: Metodologias

    Este livro reúne um conjunto de contribuições oriundas do Seminário Internacional Avaliação para o Investimento Social Privado: Metodologias, realizado em julho de 2013 no Rio de Janeiro, pela Fundação Itaú Social, Fundação Roberto Marinho
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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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  • Choosing appropriate evaluation methods tool

    This tool contains a series of questions and prompts, the results of which provide an indication of which methods will and will not be appropriate to use.
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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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  • Evaluability assessments and choice of evaluation methods

    In this Centre for Development Impact seminar, Richard Longhurst (IDS) and Sarah Mistry (BOND) will highlight the importance of evaluability assessments for development projects
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  • The logical framework approach

    This publication is part of a series of guidelines developed by AusAid in relation to activities design.
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  • 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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