The DDI Working Paper Series (ISSN 2153-8247) is intended as a dynamic publication avenue for authors working in the DDI space. Currently, the series includes papers on new and emerging themes as well as papers on best practices and use case literature.
If you are interested in publishing a paper to be part of the DDI Working Paper Series, please contact the DDI Alliance Director.
Best Practice: Data Life Cycle
This document defines registries and provides a justification for using them.
This best practice specifies the technical requirements and procedures for ensuring well-managed identifiers for both internal use and external references.
This document is a recommendation about appropriate architecture for the effective resolution of DDI URNs.
This best practices document looks at a possible architectural model to enable effective design of components that can be combined to create DDI applications.
This best practice covers the process of developing agreements and guidelines for implementation and governance of DDI as a metadata scheme for a community.
This best practice escribes the best practices for metadata producers to provide end users with the resources for data discovery and dissemination.
This Best Practice discusses workflows for DDI usage in the context of archival ingest and metadata enhancement, beginning at the point of the handoff between the data provider and the archive.
This best practice discusses the capturing, in DDI metadata, of the processes of data aggregation, recoding and data processing.
The benefits of using controlled vocabularies, which offer consistency, precision, and interoperability, within DDI metadata creation are the primary underlying principles behind this best practice document.
This document outlines recommended best practices for creating a local DDI 3.0 Profile, which is a subset of DDI 3.0 fields to be used by an organization or shared by a community of users.
This best practice covers DDI publishing structures that promote reuse of common material by removing certain metadata content from the context of a specific study and publishing it for wider use.
This best practice is designed to provide some guidelines to metadata creators and publishers about how to version metadata and publish it for others to use to comply with requirements for machine-actionability.
Best Practice: Longitudinal
This paper is intended to provide implementers and those delivering longitudinal data with recommendations on how to use DDI most effectively to support the presentation of longitudinal studies, most commonly on the Web, and to describe best practice for structuring DDI instances.
This paper looks at the growing variety of data sources in research -- e.g., biomarkers -- that are not traditional question-based surveys, and how these can be usefully documented.
This paper looks at the unique characteristics of longitudinal data and offers recommendations for structuring metadata in a manner that facilitates analysis over time and metadata reuse.
This paper proposes a reference model, the Generic Longitudinal Business Process Model (GLBPM), for the process of longitudinal data production and use, with an emphasis on the specification and management of the supporting metadata.
This paper proposes best practice for the use of DDI to ensure that there are appropriate metadata to compare data produced across repeated data collection over time.