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… Data sovereignty is the right of Indigenous Peoples to exercise ownership over Indigenous Data which can be expressed through the creation, collection, access, analysis, interpretation, management, …Framework/GuideEvaluation practice in Aboriginal and Torres Strait Islander settingsData rehearsal
… Data rehearsal, a technique developed by Michael Patton, involves developing simulated reports of data before data collection and then workshopping these with primary intended …MethodManage data
… Good data management includes developing effective processes for consistently collecting and recording data, storing data securely, backing up data, cleaning data, … should be built into each step in the data cycle − data collection, aggregation and reporting, analysis and use, and …Framework/GuideRainbow FrameworkBetterEvaluation FAQ: How do you go about analyzing data that has been collected from respondents via a questionnaire?
… that comes up quite often: How do you go about analysing data that has been collected from respondents via a … one. Often people get to the end of having collected data from a survey and become somewhat stumped about what to … clearer – and easier. An important part of analysing data from questionnaires is to go back to your broad Key …BlogPrésentation des méthodes de collecte et d'analyse de données dans l'évaluation d'impact
Les évaluations d’impact ne doivent pas se cantonner à déterminer l’ampleur des effets (c’est-à-dire l’impact moyen), mais doivent également identifier qui a bénéficié de ces programmes ou politiques et comment.ResourceBig data
… Big data refers to data that are so large and complex that traditional methods of collection and analysis are not possible. The amount and variety of big data has increased exponentially over the past decade. 'Data …MethodData backup
… Data backup refers to onsite and offsite, automatic and manual processes to guard against the risk of data being lost or corrupted. Data backup is an important aspect of data management, that …MethodData dashboard
… Stephen Few defines a dashboard as: "A data dashboard is a visual display of the most important … needed to achieve one or more objectives, with the data consolidated and arranged on a single screen so the … information can be monitored at a glance" (Few, 2004). Data dashboards typically include several visualisations such …MethodSequential data gathering
… is one way of combining qualitative and quantitative data by alternating between them. It relies on the validity of both qualitative and quantitative data collection methods and times the use of each type of …MethodResponsible data stewardship
… This report from the Open Data Institute discusses key concepts including ‘data stewardship’, ‘data ethics’, ‘data justice’ ‘data for … a public good increase equality and equity reduce data collection to when it’s necessary/proportionate reduce …ResourceAnalysing qualitative data
… approach to analysing and interpreting qualitative data or content analysis. Taylor-Powell and Renner (2003) … process to support the analysis of text or narrative data. They also provide examples of identifying themes and labelling data describe the use of computer-based software to organise …Resource9 free books for learning data mining & data analysis
… has been compiled in the spirit of making the process of data analysis and data mining seem less daunting to people looking to use these … examples and applications. The free book titles include: Data Jujitsu: The Art of Turning Data into Product Data …ResourceUK Data Archive
… The UK Data Archive is the UK's largest collection of digital research data in the social sciences and humanities. The website …ResourceThe gender spectrum collection: Stock photos beyond the binary
… The Gender Spectrum Collection is a stock photo library featuring images of trans and non-binary models. This collection aims to improve the representation of diverse … Publisher: Vice Key features The images in this collection have been made available under a Creative Commons …ResourceC4D: Manage data
… What is it? Good data management means that systems are in place for consistent and ethical collection, recording, storage, security, backing up, cleaning, and modifying, and ownership of data. This is part of data quality assurance (DQA). Data …Framework/GuideCommunication for Development (C4D)Data use calendar
… A data use calendar is produced to guide the collection of data and reporting requirements, as well as ensuring that …MethodShared Measurement: A Catalyst to Drive Collective Learning and Action
This presentation was given by Patricia Bowie and Moira Inkelas at the Foundation Strategy Group (FSG) and Stanford Social Innovation Review&ResourceBig data and evaluation: Use and implications
… Big data is emerging as a new world currency. This form of digital data, generated almost automatically by the online … that are so large and complex that traditional methods of collection and analysis are not possible. The amount and …BlogData quality standards
… This paper from USAID provides guidance for ensuring good data quality as a central part of establishing effective … systems. The paper argues that without good quality data, decisions makers will lack confidence in the data and may make decisions based on misleading data. The …ResourceC4D: Analyse data
… What is it? Analysing descriptive data (data about what has happened or is happening) means looking … one of the UNICEF Methodological Briefs Overview: Data Collection and Analysis Methods in Impact Evaluation , by …Framework/GuideCommunication for Development (C4D)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 … and the University of Technology Sydney. The Australian Data Archive contains data sets divided into the following …ResourceSinopsis: métodos de recolección y análisis de datos en la evaluación de impacto
Las evaluaciones de impacto deben ir más allá de la simple evaluación de la magnitud de los efectos (el impacto medio) para determinar con quién y de qué forma ha tenido éxito un programa o política.ResourceEvergreen Data
… website and blog provides ample reading and guidance on data visualization techniques, taking a research-based … Key features Stephanie Evergreen is a specialist in data visualisations, and her website contains a wealth of … this resource? I regularly read Stephanie’s blog posts on data visualisations to help me continually improve my own …ResourceRethinking monitoring for collective learning in rural resource management
Drawing on the author's experience in rural resource management in Brazil this paper discusses the common misconceptions, potential and processes involved in Participatory Monitory and Evaluation (PM&E)ResourceData Quality
… Centre is designed to help learners understand what data quality is, why it is important, and what programs can … the two hour course students should be able to: Define why data are important to programs, describe "data quality", List the seven dimensions of data quality …ResourceAnalyse data
… Analysing data to summarise it and look for patterns is an important … this have been grouped into two categories - quantitative data (number) and qualitative data (text, images). … Analyse data …Framework/GuideRainbow FrameworkClassification of Data
… Alliance (GITTA) looks at he process of classifying data in relation to mapping and cartography. It discusses … understanding. Excerpt "Why can it be useful to classify data before creating a map? The human eye only has a limited … map content. This allows us to create a smaller number of data classes and to choose symbol shades that can be …ResourceC4D: Visualise data
… What is it? Data visualisation is the process of representing data graphically. It can make it easier to see trends and patterns. Data visualisation can be used during data analysis as part …Framework/GuideCommunication for Development (C4D)UK Data Archive: Managing and Sharing Data
… This document, created by the UK Data Archive, gives researchers an overview of the best practices involved in data management for long-term, accessible data storage, protection and archive. Extract "Whilst good …ResourceQualitative data analysis using data displays
… the benefits of using a number of different types of data displays when presenting qualitative data. It focuses in particular on checklist matrices, … the purposes of a research project. Extract "The amount of data generated in qualitative research can be difficult to …ResourceData 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. This … in the Information Sciences, this visual map considers how data is acquired , integrated , analysed and delivered …Resource8: Analyzing data
… This presentation, titled Analyzing Data talks about how to deal with “problems” of … External Validity IV. Cost Effectiveness … 8: Analyzing data …Resource