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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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  • 9 free books for learning data mining & data analysis

    This list compiled by Alex Ivanovs brings together a range of books aimed at both beginners and those who are looking to fill in gaps in their knowledge.
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  • Data collection & analysis video

    This video guide from UNICEF looks at the issues involved  in choosing and using data collection and analysis methods for impact evaluations.  
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  • Dabbling in the data

    The guide and toolkit, Dabbling in the Data, includes detailed instructions for teams to use to delve more deeply into quantitative and qualitative data.
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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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  • Eval C3

    EvalC3 is an organised set of tools for developing, exploring and evaluating predictive models of expected outcomes. This resource and the following information was contributed by  Rick Davies. 
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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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  • Qualitative research & evaluation methods: integrating theory and practice

    The fourth edition of Michael Quinn Patton's Qualitative Research & Evaluation Methods Integrating Theory and Practice, published by Sage Publications, analyses and provides clear guidance and advice for using a range of differ
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  • Big data for development: challenges & opportunities

    This white paper by UN Global Pulse examines the use of Big Data in development contexts.
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  • Excel for evaluation

    This website, created by Ann Emery, provides a series of short videos on using Microsoft Excel to analyze data.
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  • Do labor market policies have displacement effects? Evidence from a clustered randomized experiment

    This resource reports the results from a randomized experiment intended to evaluation the direct and indirect (displacement) impacts of job placement assistance on the labor market outcomes of young, educated job seekers in France.
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  • Geospatial analysis in evaluation

    This blog from the Independent Evaluation Group (IEG) highlights the role of geospatial data in understanding change in phenomena, and answering questions of relevance and effectiveness of development interventions.
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  • BetterEvaluation FAQ: How do you go about analyzing data that has been collected from respondents via a questionnaire?

    In this edition of the BE FAQ blog, we address a question that comes up quite often: How do you go about analysing data that has been collected from respondents via a questionnaire?
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  • L’évaluation en contexte de développement

    Ce manuel est destiné aux personnes souhaitant s’initier à l’évaluation de programmes, en particulier en contexte de développement et de coopération internationale. À cet égard, tout en déroulant le fil d’une démarche évaluative classique, il présente…
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  • Word cloud

    Word clouds or tag clouds are graphical representations of word frequency that give greater prominence to words that appear more frequently in a source text.
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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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  • From narrative text to causal maps: QuIP analysis and visualisation

    This paper focuses on analysing raw data to produce useful visual summaries, describing in detail the processes involved in a QuIP analysis.
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  • UNICEF webinar: Overview of data collection and analysis methods in Impact Evaluation

    What is the value of using mixed methods in impact evaluation? What methods and designs are appropriate for answering descriptive, causal and evaluative questions?
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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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