Document, Discover and Interoperate
The Data Documentation Initiative (DDI) is an international effort to create a standard to describe statistical and social science data. Documenting data with DDI facilitates interpretation and understanding -- both by humans and computers. The freely available international DDI standard describes data that result from observational methods in the social, behavioral, economic, and health sciences. Use DDI to Document, Discover, and Interoperate!
Why Use DDI?
- Generate interactive codebooks
- Implement data catalogs
- Build question banks
- Create concordance mappings
- Harmonize and compare data
- Manage longitudinal data sets
Find Out More!
Featured DDI Adopters
The University of Costa Rica and the University of Kansas are collaborating on a project to create a multilingual applied clinical research library (to-date over 400 unique instruments in 850 different applications) that can be shared widely by investigators throughout the US and Latin America to...
The Consortium of European Social Science Data Archives (CESSDA) offers a data catalogue providing access to research data from archives across Europe. The catalogue includes nearly 6000 studies distributed by members of the CESSDA European Research Infrastructure Consortium (ERIC).
The CLOSER (Cohort and Longitudinal Studies Enhancement Resources) programme aims to maximise the use, value and impact of the member UK longitudinal studies. A key part of the CLOSER project is the creation of a Uniform Search Platform allowing users to search the metadata from all of the projects...
The IHSN program of activities includes:
Improvement of data collection methods and practices through assessment and improvement of survey methods and programs. The IHSN facilitates the work of experts and specialized task forces who produce guidelines and reference materials. The IHSN also...
The objectives of this pilot project, which is funded by the National Science Foundation (Collaborative Research: Metadata Portal for the Social Sciences, SES-1229957) under the Metadata for Long-standing Large-Scale Social Science Surveys (META-SSS) program, are:
To develop rich, structured...
Midlife in the United States (MIDUS) is a national longitudinal study of health and well-being. It was conceived by a multidisciplinary team of scholars interested in understanding aging as an integrated bio-psycho-social process. Since its inception in 1995 MIDUS has continued to grow, such that...
The 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. Researchers, data authors, publishers, data distributors, and affiliated institutions all receive...
The TREC Measurement System (TMS) study is a longitudinal study that explores the strength of linkages between work environments, best practice use and resident outcomes using staff survey data and RAI-MDS 2.0 data. The study will take place in 90 nursing homes across British Columbia, Alberta and...
The VETSA is a nationwide longitudinal project designed to examine genetic and environmental influences on late midlife cognitive and brain changes. Starting in 2002, the baseline VETSA assessment conducted in-person testing of a community-dwelling sample of 1237 male twins ages 51-60 including a...
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