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Document, Discover and Interoperate
The Data Documentation Initiative (DDI) is an international standard for describing the data produced by surveys and other observational methods in the social, behavioral, economic, and health sciences. DDI is a free standard that can document and manage different stages in the research data lifecycle, such as conceptualization, collection, processing, distribution, discovery, and archiving. Documenting data with DDI facilitates understanding, interpretation, and use.
Type of content:
Assets
Type of asset:
Standard
Big data potential
Yes
Phase in the policy cycle:
Policy Design and Analysis
Open license availability
No
Website
Tags:
BI
Data analytics
IT
IT potential
IT processes
| SWOT Analysis for Document, Discover and Interoperate |
||
|---|---|---|
| Helpful | Harmful | |
Internal |
Strengths• An international standard for describing the data produced by surveys and other observational methods in the social, behavioural, economic, and health sciences. • DDI is a free standard that can document and manage different stages in the research data lifecycle, such as conceptualization, collection, processing, distribution, discovery, and archiving. • Documenting data with DDI facilitates understanding, interpretation, and use -- by people, software systems, and computer networks. • Generating interactive codebooks • Implementing data catalogues • Building question banks • Creating concordance mappings • Harmonizing and comparing data • Managing longitudinal data sets |
Weaknesses• Resourcing: Since it is free of charge for everyone to use, funding is needed • Sustainability: DDI needs to connect to other standards and domains. Need a stable structure and add content to that structure instead of releasing a new version every time. • Initially, taking part in standardization does require an investment in terms of sending experts, travel costs and the overall costs of participation. |
External |
Opportunities• Prioritize the Functional View Data Management Plans (DMPs) since most funding agencies now require DMPs. • Integrating existing DDI Working Groups into the model-based development process. • International standards that describe the production of data make understanding, interpretation, and use of the data easier. • Assisting patrons and data analysts. • Reusing structured, standardized metadata makes good business sense. • Partnerships with organizations, companies, apps that involve data and metadata exchange. • Optimizes machine-actionability • Used with relational databases to increase flexibility. • Increasing value-quality of data |
Threats• Resourcing: Since it is free of charge for everyone to use, funding is needed • Lack of a Project Coordinator • or Manager to guide the model-based development • Sustainability: DDI needs to connect to other standards and domains. Need a stable structure and add content to that structure instead of releasing a new version every time. |
