DDI: Managing Metadata for Longitudinal Data — Best Practices

Goals

This symposium-style workshop will bring together representatives from major longitudinal data collection efforts to share expertise and to explore the use of the DDI metadata standard as a means of managing and structuring longitudinal study documentation. Participants will work collaboratively to create best practices for documenting longitudinal data in its various forms, including panel data and repeated cross-sections.

Description of the workshop

Longitudinal survey data carry special challenges related to documenting and managing data over time, over geography, and across multiple languages. This complexity is often a barrier to building efficient systems for data access and analysis. DDI (Data Documentation Initiative) Lifecyle, a metadata standard that addresses the full life cycle of social science research data (formerly referred to as DDI 3), is designed to provide an efficient structure for the documentation of complex longitudinal data. In this workshop, participants involved in longitudinal data projects around the world will work together on issues involved in documenting longitudinal data.

Intended audience: Individuals with expertise in longitudinal social science data; knowledge of DDI is desired but not required. The intent is to have a mix of participants with substantive and technical skills. Participants should provide access to materials describing their projects, which can serve as use cases in applying DDI. The workshop is in English. This is the second Dagstuhl workshop on the topic; the first took place in October 2010. The upcoming workshop will continue the in-depth discussion begun last year, expanding into additional topics.

Expected Results

Participants will write best practice papers, to be published in the DDI Working Paper Working Paper Series. Last year’s workshop produced a series of best practice papers on longitudinal data.

Possible Topics

Documenting comparison, harmonization, and the relationship among concepts, questions, and variables over time, as well as the relationship of respondent types (person, household) are typical issues for longitudinal data. Other topics not specific to longitudinal data:

• Classifications (e.g., ISCO, ISCED)
• Data collection details
• Qualitative data, other types of data sources beyond surveys
• Quality of metadata and data
• Data management planning
• Relationship to the Open Archival Information System (OAIS)
• Extension of DDI for specific needs

These topics are often more salient for longitudinal data, making it even more critical manage these metadata in a structured form over time and countries. The current possibilities of DDI Lifecyle will be explored and areas for future extensions identified. Additionally, participants can suggest their area of interest.