Resource Library

The BITSS Resource Library contains resources for learning, teaching, and practicing research transparency and reproducibility, including curricula, slide decks, books, guidelines, templates, software, and other tools. All resources are categorized by i) topic, ii) type, and iii) discipline. Filter results by applying criteria along these parameters or use the search bar to find what you’re looking for.

Know of a great resource that we haven’t included or have questions about the existing resources? Email us!

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Data Citations module Data Management and De-identification+

Created by the Federal Reserve Bank of St. Louis, this module introduces students to the key elements of data citations. See also related modules for Data Literacy.

Handbook on Using Administrative Data for Research and Evidence-Based Policy Data Management and De-identification+

Co-edited by Shawn Cole, Iqbal Dhaliwal, Anja Sautmann, and Lars Vilhuber and published by J-PAL’s Innovations in Data and Experiments for Action Initiative (IDEA), this handbook includes case studies of large-scale randomized evaluations using private and national government administrative data, and technical guidance to support partnerships with governments, nonprofits, or firms to access data and pursue cutting-edge, policy-relevant projects.

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Survey of Registered Reports Editors Interdisciplinary+

Between December 15, 2017 and January 31, 2018, BITSS surveyed the editors of 76 academic journals which at the time, accepted submissions in the Registered Report (RR) format. Find summary statistics of the results in this document.

CRediT (Contributor Roles Taxonomy) InterdisciplinaryTransparent Reporting

CRediT (Contributor Roles Taxonomy) is high-level taxonomy, including 14 roles, that can be used to represent the roles typically played by contributors to scientific scholarly output. The roles describe each contributor’s specific contribution to the scholarly output.

Comparison of multiple hypothesis testing commands in Stata Economics+

In this post on the Development Impact blog, David McKenzie (World Bank) compares various Stata packages used for multiple hypothesis testing adjustments and discusses settings where each package is best applied.

Strengthening the Reporting of Observational Studies in Epidemiology (STROBE) Educational Expansion Epidemiology+

Created by Catalyst Melissa Sharp, this is an open-source repository for epidemiological research methods and reporting skills for observational studies, structured based on the Strengthening the Reporting of Observational Studies in Epidemiology (STROBE) Statement. Use it to discover new methods and reporting guidelines and contribute through the GitHub repository (https://github.com/sharpmel/STROBECourse/).

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Data for Development Impact (Resource Guide) Data Management and De-identification+

“Data for Development Impact: The DIME Analytics Resource Guide” is intended to serve as an introduction to the primary tasks required in development research, from experimental design to data collection to data analysis to publication. It serves as a companion to the DIME Wiki and is produced by DIME Analytics.

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Open Science Module for Behavioral Science graduate course Economics+

Instructors Kelly Zhang (MIT GOV/LAB) and Chaning Jang (Busara) integrated a module on research transparency and the use of pre-analysis plans as part of the Behavioral Science in the Field course designed for graduate students who use behavioral science games as part of their research.

J-PAL Guide to De-Identifying Data Data Management and De-identification+

Developed by J-PAL’s Sarah Kooper, Anja Sautmann, and James Turrito, this guide includes:

  • An overview of personally identifiable information (PII) and the responsibility of data users not to use data to try to identify human subjects
  • Recommendations for handling direct identifiers (such as full name, social security number, or phone number), as well as indirect identifiers (such as month/year of birth, nationality, or gender)
  • Guidance on de-identification steps to take throughout the research process, such as encrypting all data containing identifying information as soon as possible
  • A list of common identifiers, including those labeled by the United States’ Health Insurance Portability and Accountability Act (HIPAA) guidelines as direct identifiers
  • And more.

See also the accompanying Guide to Publishing Research Data.

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J-PAL Guide to Publishing Research Data Data Management and De-identification+

Developed by J-PAL’s Sarah Kooper, Anja Sautmann, and James Turrito, this guide includes:

  • A list of considerations to make before publishing data, such as what information was provided to study participants and the IRB, the sensitivity of the data collected, and legal requirements
  • Sample consent form language that will allow future publication of de-identified data
  • A checklist for preparing data for publication
  • And more.

See also the accompanying Guide to De-identifying Data.

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Data Sharing Checklist for NGOs and Practitioners Data Management and De-identification+

This checklist developed by Teamscope can help NGOs and Practitioners understand the common pitfalls in open data, and how open data impacts every step of a project’s pipeline, from proposal writing to dissemination.

Videos: Research Transparency and Reproducibility Training (RT2) – Washington, D.C. Data Management and De-identification+

BITSS hosted a Research Transparency and Reproducibility Training (RT2) in Washington DC, September 11-13, 2019. This was the eighth training event of this kind organized by BITSS since 2014.

RT2 provides participants with an overview of tools and best practices for transparent and reproducible social science research. Click here to videos of presentations given during the training. Find slide decks and other useful materials on this OSF project page (https://osf.io/3mxrw/).

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Replicability Seminar Issues with transparency and reproducibility+

Course syllabus for “Replicability Seminar”, an advanced undergraduate and graduate-level course led by Simine Vazire.

Open Data Metrics: Lighting the Fire Data Management and De-identification+

In this book, Daniella Lowenberg and colleagues describe the journey towards open data metrics, prompting community discussion and providing implementation examples along the way. Data metrics are a pre-condition to realize the benefits of open data sharing practices.

BITSS Registered Reports Literature Review Economics+

Prepared by BITSS, this literature review includes information on the distinguishing features and advantages of registered reports, as well as challenges involved in its implementation.

Nextjournal Dynamic Documents and Coding Practices+

Nextjournal is a container tool with features like polyglot notebooks, automatic versioning and real-time collaboration.

Meta Life Sciences+

Meta is an interactive search tool that indexes research in the biomedical sciences. Users can create personalized news feeds by selecting from a range of concepts, journals, preprints, or papers of interest.

BITSS training survey templates InterdisciplinaryIssues with transparency and reproducibility

BITSS developed templates for pre- and post-training surveys that can be used by instructors to record learning outcomes in research transparency and reproducibility training events.

The links below enable access as an editor; please make a copy of each form to use it for your own purposes:

Software Carpentry Data Management and De-identification+

Software Carpentry offers online tutorials for data analysis including Version Control with Git, Using Databases and SQL, Programming with Python, Programming with R and Programming with MATLAB.

Transparent and Open Social Science Research (FR) Dynamic Documents and Coding Practices+

Demand is growing for evidence-based policy making, but there is also growing recognition in the social science community that limited transparency and openness in research have contributed to widespread problems. With this course created and administered by BITSS, you can explore the causes of limited transparency in social science research, as well as tools to make your own work more open and reproducible.

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Data Carpentry Lessons Data Management and De-identification+

Developed by Data Carpentry, these lessons can be used across the social sciences to teach data cleaning, management, analysis, and visualization. R is the base language for instruction, and there are no pre-requisites in terms of prior knowledge about this topic.

Observational PAP Guide Economics and Finance+

In her preprint titled “Improving transparency in observational social science research: A pre-analysis plan approach”, Fiona Burlig (University of Chicago) presents three scenarios in which study preregistration and pre-analysis plans (PAPs) can be credibly applied in non-experimental settings: cases where researchers collect their own data; prospective studies; and research using restricted-access data. The preprint also includes suggested contents for observational PAPs, and highlights where observational PAPs should deviate from those designed for experimental research.

This work was also published in the journal Economics Letters.

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ResonsibleData.io Data Management and De-identification+

Using data for social change work offers many opportunities, but it brings challenges, too. The RD community develops practical ways to deal with the unintended consequences of using data in social change work, establishes best practices, and shares approaches between leading thinkers and doers from different sectors. We discuss thorny topics in-person, facilitate online group discussions on the RD mailing list, and share resources on this site.

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Web Plot Digitizer Data Management and De-identification+

App extracts data from charts

Registry for International Development Impact Evaluations (RIDIE) Economics and Finance+

Administered by the International Initiative for Impact Evaluation (3ie), the Registry for International Development Impact Evaluations (RIDIE) is a registry of impact evaluations related to development in low and middle income countries. RIDIE will register any development impact evaluation that rigorously attempts to estimate the causal impacts of a program, including but not limited to randomized control trials. It is intended to be a prospective registry in which researchers and evaluators can record information about their evaluation designs before conducting the analysis, as well as update information as the study proceeds and post findings upon study completion.

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Catalog of open source licenses InterdisciplinaryOpen Publishing

Using this online tool, you can choose an open source license to clearly articulate the conditions under which others can use, distribute, modify or contribute to your software and non-software projects.

Conda Data Visualization+

Conda is an open source package management system and environment management system that runs on Windows, macOS and Linux. Conda installs, runs and updates packages and their dependencies and is operable in multiple languages, including Python, R, Ruby, Lua, Scala, Java, JavaScript, C/ C++, FORTRAN.

Stage 1 Registered Report Submission Template Economics and Finance+

BITSS prepared a template to assist authors in the preparation of their Stage 1 Proposal submissions to the Journal of Development Economics. The template expands on features that are commonly reported in pre-analysis plans in development economics, and includes a checklist to help authors record different parts of the research design.

Whole Tale Data Management and De-identification+

Whole Tale is an infrastructure that allows users to share data, methods and analysis protocols, and final research outputs in a single, executable object (“living publication” or “tale”) alongside any research publication. Learn more here.

NRIN Collection of Resources on Research Integrity Data Management and De-identification+

Curated by the Netherlands Research Integrity Network (NRIN), this collection contains literature, tools, guidelines, and educational media related to research Integrity. Access the Collection here.

Registry of Efficacy and Effectiveness Studies Education+

The Registry of Efficacy and Effectiveness Studies (REES) is a registry for studies designed to establish causal conclusions in Education research. Eligible designs include randomized trials, quasi-experimental designs, regression discontinuity designs, and single-case designs.

PhD Course Materials: Transparent, Open, and Reproducible Policy Research Data Management and De-identification+

BITSS Catalyst Sean Grant developed and delivered a PhD course on Transparent, Open, and Reproducible Policy Research at the Pardee RAND Graduate School in Policy Analysis. Find all course materials at the project’s OSF page.

Transparency Training Module for Undergraduate Experimental Economics Dynamic Documents and Coding Practices+

These materials were used in the final weeks of an undergraduate course experimental economics at Wesleyan University taught by Professor Jeffrey Naecker.

These materials were developed as part of a BITSS Catalyst Training Project “Incorporating Reproducibility and Transparency in an Undergraduate Economics Course” led by Catalyst Jeffrey Naecker.

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Registered Reports at the Journal of Development Economics Economics and Finance+

As part of a pilot project, the Journal of Development Economics (JDE) now offers authors the opportunity to submit empirical research designs for review and approval before the results of the study are known. The pre-results review track is designed to award well-designed and well-executed studies regardless of whether their empirical results yield clear interpretations.

Learn more about the pilot in this blog post by JDE Editors Andrew Foster and Dean Karlan, and BITSS Faculty Director Edward Miguel.

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COS Registered Reports information portal Interdisciplinary+

The Center for Open Science (COS) has put together a portal containing information about the registered reports format of peer review and publication. The portal includes general information about registered reports, a list of journals that have implemented the format, an explanation of an appropriate workflow, resources for journal editors, motivation for funders, FAQs, and a list of allied initiatives, inlcuding those that focus on results-blind review and Exploratory Reports.

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Mapping the Universe of Registered Reports Interdisciplinary+

A preprint by Tom Hardwicke and John Ioannidis. Abstract: Selection pressures for significant results may infuse bias into the research process. We evaluated the implementation of one innovation designed to mitigate this bias, ‘Registered Reports’, where study protocols are peer-reviewed and granted in-principle acceptance (IPA) for publication before the study has been conducted. As of February 2018, 91 journals had adopted Registered Reports and 91 Final Reports had been published. Psychology journals are the principal adopters, but expansion has begun into medicine, social science, and other fields. Among 29 journals that responded to a survey, 334 protocols had been submitted to them, 87 had been granted IPA and 32 Final Reports had been published or were in press as of July 2017. We encountered several sub-optimal implementation practices, including non-availability of IPA protocols, and diverse approaches to protocol registration in the absence of a single central registry. Registered Reports should be iteratively evaluated and improved to ensure maximal benefits.

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Course Syllabi for Open and Reproducible Methods Anthropology, Archaeology, and Ethnography+

A collection of course syllabi from any discipline featuring content to examine or improve open and reproducible research practices. Housed on the OSF.

MetaArXiv InterdisciplinaryOpen Publishing

An interdisciplinary archive of articles focused on improving research transparency and reproducibility.

DMPTool Data Management and De-identification+

The DMPTool is a free service developed by California Digital Library (CDL) and DataONe that helps researchers and institutions to create high-quality data management plans that meet funder requirements.

AsPredicted.org Interdisciplinary+

AsPredicted.org is “a standardized pre-registration that requires only what’s necessary to separate exploratory from confirmatory analyses.” You can easily generate a short  and simple pre-registration document that “takes less effort to evaluate than it takes to evaluate the published study itself.” The form, designed by Uri Simonsohn, Joe Simmons, and Leif Nelson, has only nine questions, which are general enough that they are relevant to nearly all disciplines and types of research.

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AEA Registry for RCTs Economics and Finance+

The American Economic Association (AEA) Randomized Controlled Trials Registry is a registry for RCTs conducted in the social sciences. Registration is free and you do not need to be a member of the AEA to register. We encourage you to register any new study before data collection.

rOpenSci Packages Data Management and De-identification+

These packages are carefully vetted, staff- and community-contributed R software tools that lower barriers to working with scientific data sources and data that support research applications on the web.

Improving the Credibility of Social Science Research: A Practical Guide for Researchers Data Management and De-identification+

Created by the Policy Design and Evaluation Lab (PDEL) at UCSD, this teaching module was developed to (1) demonstrate the credibility crisis in the social sciences caused by a variety of incentives and practices at both the disciplinary and individual levels, and (2) provide practical steps for researchers to improve the credibility of their work throughout the lifecycle of a project. It is intended for use in graduate-level social science methodology courses—including those in political science, economics, sociology, and psychology—at UCSD and beyond.
These materials were developed as part of a BITSS Catalyst Training Project “Creating Pedagogical Materials to Enhance Research Transparency at UCSD” led by Catalysts Scott Desposato and Craig McIntosh along with Julia Clark, PhD candidate at UCSD.
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Code Ocean (in beta) Data Repositories

Code Ocean is a cloud-based computational reproducibility platform that provides researchers and developers an easy way to share, discover and run code published in academic journals and conferences. Upload code and data in 10 programming languages and link working code in a computational environment with the associated article for free. Code Ocean assigns a Digital Object Identifier (DOI) to the algorithm, providing correct attribution and a connection to the published research.

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TOP Guidelines InterdisciplinaryTransparent Reporting

Transparency and Openness Promotion (TOP) Guidelines are a set eight modular transparency standards for academic journals, each with three levels of increasing stringency. Journals select which of the eight transparency standards they wish to adopt for their journal, and select a level of implementation for the selected standards. These features provide flexibility for adoption depending on disciplinary variation, but simultaneously establish community standards.

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