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.
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Handbook on Using Administrative Data for Research and Evidence-Based Policy Data Management and De-identificationEconomicsInterdisciplinaryInternational DevelopmentReproducibility
Data for Development Impact (Resource Guide) Data Management and De-identificationEconomicsOther Social SciencesStatistics and Data Science
“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.
Data Sharing Checklist for NGOs and Practitioners Data Management and De-identificationInterdisciplinary
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.
Open Data Metrics: Lighting the Fire Data Management and De-identificationInterdisciplinary
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.
ResonsibleData.io Data Management and De-identificationDynamic Documents and Coding PracticesInterdisciplinaryMetascience (Methods and Archival Science)Statistics and Data Science
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.
Whole Tale Data Management and De-identificationData VisualizationInterdisciplinaryReplicationsStatistics and Data ScienceVersion Control
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-identificationInterdisciplinaryMeta-AnalysesOpen PublishingRegistriesTransparent Reporting
PhD Course Materials: Transparent, Open, and Reproducible Policy Research Data Management and De-identificationDynamic Documents and Coding PracticesHealth SciencesInterdisciplinaryIssues with transparency and reproducibilityMeta-AnalysesOpen PublishingPre-Analysis PlansPreprintsPublic PolicyRegistriesReplicationsStatistical LiteracyTransparent ReportingVersion Control
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.
Course Syllabi for Open and Reproducible Methods Anthropology, Archaeology, and EthnographyData RepositoriesData VisualizationDynamic Documents and Coding PracticesEconomics and FinanceEngineering and Computer ScienceHealth SciencesHumanitiesInterdisciplinaryIssues with transparency and reproducibilityLife SciencesLinguisticsMeta-AnalysesMetascience (Methods and Archival Science)Open PublishingOther Social SciencesPolitical SciencePower analysisPre-Analysis PlansPsychologyPublic PolicyRegistriesReplicationsSociologyStatistical LiteracyStatistics and Data ScienceTransparent ReportingVersion Control
A collection of course syllabi from any discipline featuring content to examine or improve open and reproducible research practices. Housed on the OSF.
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.
Metametrik Data Repositories
Metametrik is a prototype of a platform for storing and search of econometric results, a project lead by the Open Economics Group of the Open Knowledge Foundation. This prototype is an example of a platform where regression results are stored through input in a spreadsheet by an informed researcher, who enters the results on the level of a single regression. The platform then enables search with the option of several facets, including dependent variable, independent variable, model, controls, journal, year, authors, JEL codes and key words.
Nicebread Data Management and De-identificationData VisualizationDynamic Documents and Coding PracticesInterdisciplinaryIssues with transparency and reproducibilityMeta-AnalysesOpen PublishingPower analysisPre-Analysis PlansPreprintsPsychologyRegistriesReplicationsResults-Blind Review & Registered ReportsTransparent ReportingVersion Control
Dr. Felix Schönbrodt’s blog promoting research transparency and open science.
Datavyu Data Management and De-identificationData VisualizationPsychology
An Open Data Library for Developmental Science that allows users to decide how they want to code video, audio, physiology, motion, or eye tracking data. Power users can write scripts in the Ruby programming language to extend Datavyu’s functionality.
Databrary Data Management and De-identificationData VisualizationDynamic Documents and Coding PracticesPsychology
Databrary is a video data library for developmental science. Anyone collecting shareable research data will be able to store and organize their data within Databrary after completing the registration process.
Dataverse Data RepositoriesInterdisciplinary
Dataverse is an open source web application to share, preserve, cite, explore, and analyze research data. It facilitates making data available to others, and allows you to replicate others’ work more easily. Researchers, data authors, publishers, data distributors, and affiliated institutions all receive academic credit and web visibility.
OSF Data Management and De-identificationInterdisciplinaryRegistriesVersion Control
Open Science Framework (OSF) is part version control system, part data repository, part collaboration software that allows researchers to move study materials to the cloud, share and find materials, detail individual contributions, make research design more visible, and register materials to certify research design was not modified to alter outcomes. To increase workflow flexibility OSF offers a system where researchers can register a description of their study and its goals. The OSF emphasizes versatility with a very wide range of tools and features including add-ons from other related sites such as Dataverse and Github. Uploaded materials can also be archived and receive a Digital Object Identifier (DOI) or Archival Resource Key (ARK).
Dryad Data Management and De-identificationEngineering and Computer ScienceHealth SciencesInterdisciplinaryLife SciencesMetascience (Methods and Archival Science)Other Social SciencesStatistics and Data Science
Dryad is a curated repository of data underlying peer-reviewed scientific and medical literature, particularly data for which no specialized repository exists. All material in Dryad is associated with a scholarly publication. Its notable features include easy integration into the manuscript submission workflow of its partner journals, the flexibility to make data privately available during peer review, and allowing submitters to set limited-term embargoes post-publication.
ICPSR Data RepositoriesOther Social SciencesPolitical Science
The Inter-university Consortium for Political and Social Research (ICPSR) maintains and provides access to a vast archive of social science data for research and instruction (over 10,000 discrete studies and surveys with more than 65,000 datasets). ICPSR has been archiving data since 1962.
Qualitative Data Repository Data Management and De-identificationInterdisciplinaryPolitical Science
QDR selects, ingests, curates, archives, manages, durably preserves, and provides access to digital data used in qualitative and multi-method social inquiry. The repository develops and publicizes common standards and methodologically informed practices for these activities, as well as for the reusing and citing of qualitative data. Four beliefs underpin the repository’s mission: data that can be shared and reused should be; evidence-based claims should be made transparently; teaching is enriched by the use of well-documented data; and rigorous social science requires common understandings of its research methods.
re3data.org Data RepositoriesInterdisciplinaryReplications
The Registry of Research Data Repositories (re3data.org) is a global registry of research data repositories that covers research data repositories from different academic disciplines. It presents repositories for the permanent storage and access of data sets to researchers, funding bodies, publishers and scholarly institutions. re3data.org promotes a culture of sharing, increased access and better visibility of research data. The registry went live in autumn 2012 and is funded by the German Research Foundation (DFG).
Mendeley Data Data RepositoriesData Visualization
Mendeley Data is a multidisciplinary, free-to-use open research data repository, where you can upload and share data files up to 10GB so they are archived, preserved and findable for the long-term. To ensure that research data stands the test of time, each version of a dataset is given a unique DOI, and permanently archived with DANS (Data archiving and Networking Services), ensuring that every dataset and citation will be valid in perpetuity.