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  • Participatory video and the most significant change. A guide for facilitators

    The toolkit is designed to support you in planning and carrying out evaluations using participatory video (PV) with the most significant change (MSC) technique, or PVMSC for short.
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  • Discussion note: complexity aware monitoring

    USAID’s Office of Learning, Evaluation and Research (LER) has produced a Discussion Note: Complexity-Aware Monitoring, intended for those seeking cutting-edge solutions to monitoring complex aspects of strategies and projects.  
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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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  • Strategy development: Most significant change (MSC)

    This guide to the Most Significant Change approach, by the Overseas Development Institute (ODI), provides an overview, a detailed description of the process, and an example of the technique in action.
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  • International advocacy evaluation community of practice's webinar

    In this webinar from the International Advocacy Evaluation Community of Practice demonstrates how Most Significant Change and Participatory Video were used to evalua
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  • The 'Most Significant Change' technique - A guide to its use

    Essential reading for anyone seeking to use the 'Most Significant Change' (MSC) technique.
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  • Técnica del “Cambio Más Significante” (MSC, por sus siglas en inglés) - Guía para su uso

    La técnica del cambio más significante (MSC, por sus siglas en inglés) es una forma de monitoreo y evaluación participativa.
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  • モスト・シグニフィカント・チェンジ (MSC)手法

    モスト・シグニフィカント・チェンジ(MSC)手法は、参加型モニタリング・評価手法の一つである。 記録すべき変化の決定やデータ分析の過程に、多くの利害関係者(ステーク ホルダー)が関与することから、参加型と言える。また、プログラム・サイクルの全工程 で実施され、プログラムを実施管理するうえで有効な情報を提供することから、モニタリ ング手法と言える。さらに、プログラム全体の業績を評価するうえで有用であり、インパ クトや効果に関する情報を提供してくれる。
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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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  • Using Most Significant Change to measure impact

    Evaluators often struggle to measure impact in cases where using an experimental design is not feasible.
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