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| %Make each resoruce a paragraph | ||
| \newcommand{\resourcepar}{\vspace{.75\baselineskip}\noindent} | ||
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| %------------------------------------------------ | ||
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| \begin{fullwidth} | ||
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| The resources listed in this appendix | ||
| are mentioned elsewhere in the chapters of this book, | ||
| and this appendix includes them all | ||
| in one place for easy reference. | ||
| All these resources are made public | ||
| under generous open-source licenses. | ||
| This means that you are free to use, reuse, and adapt these resources | ||
| for any purpose as you see fit, | ||
| so long as you include an appropriate citation. | ||
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| \end{fullwidth} | ||
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| %------------------------------------------------ | ||
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| \section{Public Resources and Tools} | ||
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| \textbf{DIME Wiki.\sidenote{ | ||
| \url{https://dimewiki.worldbank.org}}} | ||
| One-stop shop for impact evaluation research solutions. | ||
| The DIME Wiki is a resource focused on | ||
| practical implementation guidelines rather than theory, | ||
| open to the public, easily searchable, | ||
| suitable for users of varying levels of expertise, | ||
| up-to-date with the latest technological advances | ||
| in electronic data collection, | ||
| and curated by a vibrant network of editors | ||
| with expertise in the field. | ||
|
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| \resourcepar\textbf{Stata Visual Library.\sidenote{ | ||
| \url{https://worldbank.github.io/Stata-IE-Visual-Library/}}} | ||
| A curated, easy-to-browse selection of graphs created in Stata. | ||
| Clicking on each graph reveals the source code, | ||
| to allow for easy replication. | ||
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| \resourcepar\textbf{R Econ Visual Library.\sidenote{ | ||
| \url{https://worldbank.github.io/r-econ-visual-library/}}} | ||
| A curated, easy-to-browse selection of graphs created in R. | ||
| Clicking on each graph reveals the source code, | ||
| to allow for easy replication. | ||
|
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| \resourcepar\textbf{DIME Analytics Research Standards.\sidenote{ | ||
| \url{https://github.com/worldbank/dime-standards}}} | ||
| A repository outlining DIME's public commitments to | ||
| research ethics, transparency, reproducibility, | ||
| data security and data publication, | ||
| along with supporting tools and resources. | ||
|
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| %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% | ||
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| \section{Flagship Courses} | ||
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| \textbf{Manage Successful Impact Evaluations (MSIE).\sidenote{ | ||
| \url{https://osf.io/h4d8y/}}} | ||
| DIME Analytics' flagship training is a week-long annual course, | ||
| held in person in Washington, D.C. | ||
| MSIE is intended to improve the skills and knowledge of | ||
| impact evaluation (IE) practitioners, | ||
| familiarizing them with critical issues in | ||
| IE implementation, recurring challenges, | ||
| and cutting-edge technologies. | ||
| The course consists of lectures and hands-on sessions. | ||
| Through small group discussions and interactive computer lab sessions, | ||
| participants work together to apply what they've learned | ||
| and have a first-hand opportunity to develop skills. | ||
| Hands-on sessions are offered in parallel tracks, | ||
| with different options based on software preferences and skill level. | ||
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| \resourcepar\textbf{Manage Successful Impact Evaluation Surveys (MSIES).\sidenote{ | ||
| \url{https://osf.io/resya/}}} | ||
| A fully virtual course, | ||
| in which participants learn the workflow for primary data collection. | ||
| The course covers best practices at all stages of the survey workflow, | ||
| from planning to piloting instruments | ||
| and monitoring data quality once fieldwork begins. | ||
| There is a strong focus throughout on research ethics and reproducible workflows. | ||
| The course uses a combination of virtual lectures, | ||
| case studies, readings, and hands-on exercises. | ||
|
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| \resourcepar\textbf{Research Assistant Onboarding Course.\sidenote{ | ||
| \url{https://osf.io/qtmdp}}} | ||
| This course is designed to familiarize Research Assistants and Research Analysts | ||
| with DIME's standards for data work. | ||
| By the end of the course's six sessions, | ||
| participants will have the tools and knowledge to | ||
| implement best practices for transparent and reproducible research. | ||
| The course will focus on how to set up a collaborative workflow for | ||
| code, datasets, and research outputs. | ||
| Most content is platform-independent and software-agnostic, | ||
| but participants are expected to be familiar with statistical software. | ||
|
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| \resourcepar\textbf{Introduction to R for advanced Stata users\sidenote{ | ||
| \url{https://osf.io/nj6bf}}} | ||
| This course is an introduction to the R programming language, | ||
| building upon knowledge of Stata. | ||
| The course focuses on common tasks in | ||
| development research, related to descriptive analysis, | ||
| data visualization, data processing, and geospatial data work. | ||
|
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| \resourcepar\textbf{DIME Analytics Trainings.\sidenote{ | ||
| \url{https://osf.io/wzjtk}}} | ||
| DIME Analytics' home on the Open Science Framework, | ||
| with links to materials for all past courses and technical trainings. | ||
|
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| %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% | ||
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| \section{Software tools and trainings} | ||
|
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| \textbf{\texttt{ietoolkit}.\sidenote{ | ||
| \url{https://github.com/worldbank/ietoolkit}}} | ||
| Suite of Stata commands to routinize common tasks for | ||
| data management and impact evaluation analysis. | ||
|
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| \resourcepar\textbf{\texttt{iefieldkit}.\sidenote{ | ||
| \url{https://github.com/worldbank/iefieldkit}}} | ||
| Suite of Stata commands to routinize | ||
| and document common tasks in primary data collection. | ||
|
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| \resourcepar\textbf{DIME Analytics GitHub Trainings and Resources.\sidenote{ | ||
| \url{https://github.com/worldbank/dime-github-trainings}}} | ||
| A GitHub repository containing all | ||
| the GitHub training materials and resources developed by DIME Analytics. | ||
| The trainings follow DIME's model for organizing research teams on GitHub, | ||
| and are designed for face-to-face delivery, | ||
| but materials are shared so that they may be used and adapted by others. | ||
|
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| \resourcepar\textbf{DIME Analytics \LaTeX-training.\sidenote{ | ||
| \url{https://github.com/worldbank/DIME-LaTeX-Templates}}} | ||
| A user-friendly guide to getting started with LaTeX. | ||
| Exercises provide opportunities to | ||
| practice creating appendices, | ||
| exporting tables from R or Stata to LaTeX, | ||
| and formatting tables in LaTeX. | ||
|
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| %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% | ||
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| \mainmatter |
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| This is a draft edition of | ||
| \textit{Development Research in Practice: | ||
| The DIME Analytics Data Handbook}. | ||
| We want to thank all the people who helped us get here, especially | ||
| Arianna Legovini, for her leadership at DIME, unending support of our work, | ||
| and detailed comments on this book; and | ||
| Florence Kondylis, for her leadership in founding and growing DIME Analytics | ||
| and supporting this project from the very first. | ||
| We also thank the following members | ||
| of DIME Analytics for their contributions | ||
| to the ideas in this book and their help organizing them: | ||
| Roshni Khincha, Avnish Singh, Radhika Kaul, | ||
| Mizuhiro Suzuki, Yifan Powers, and Maria Arnal Canudo. | ||
|
|
||
| Our graditude to the many people who read and offered feedback as the book took shape: | ||
| %Alphabetical by last | ||
| Stephanie Annijas, | ||
| Maria Camila Ayala Guerrero, | ||
| Thomas Escande, | ||
| Aram Gassama, | ||
| Steven Glover, | ||
| Nausheen Khan, | ||
| Michael Orevba, | ||
| Caio Piza, | ||
| Francesco Raffaelli, | ||
| Daniel Rogger, | ||
| Ankriti Singh, | ||
| Ravi Somani, | ||
| and Leonardo Viotti. | ||
| Although they number far too many to name individually, | ||
| we also thank all the members of DIME and its teams across all the years | ||
| for the innovative work they have done, the lessons learned, | ||
| and the team spirit that makes our work so fruitful and rewarding. | ||
|
|
||
| This version of the book has been revised since its release in June 2019 | ||
| with feedback from readers and experts. | ||
| It contains most of the content we plan for the finished version. | ||
| This book is a living product that is written and maintained publicly. | ||
| The code and edit history are at: | ||
| \url{https://github.com/worldbank/dime-data-handbook}. | ||
| You can get a PDF copy at: | ||
| \url{https://worldbank.github.com/dime-data-handbook}. | ||
| The website includes updated instructions | ||
| for providing feedback, as well as notes on updates to the content. | ||
|
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||
| Whether you work with DIME, the World Bank, | ||
| or another organization or university, | ||
| we ask that you read the contents of this book critically. | ||
| We welcome feedback and corrections to improve the book. | ||
| Please visit | ||
| \url{https://worldbank.github.com/dime-data-handbook/feedback} | ||
| to provide feedback. | ||
| You can also email us at \url{[email protected]}, | ||
| and we will be very thankful. | ||
| We hope you enjoy \textit{Development Research in Practice}! |
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