Forschungstreffen 14432
DDI Lifecycle: Moving Forward
( 19. Oct – 24. Oct, 2014 )
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Organisatoren
- Arofan Gregory (Open Data Foundation - Tucson, US)
- Larry Hoyle (The University of Kansas - Lawrence, US)
- Wendy Thomas (University of Minnesota - Minneapolis, US)
- Mary Vardigan (University of Michigan - Ann Arbor, US)
- Joachim Wackerow (GESIS - Mannheim, DE)
Kontakt
Dagstuhl Seminar Wiki
- Dagstuhl Seminar Wiki (Use personal credentials as created in DOOR to log in)
The DDI (Data Documentation Initiative) metadata standard, created since 1995 to document social science research data, has in recent years become relevant to new user groups, including the official statistics and medical research communities. In order to respond to these new users, DDI is developing a model-based specification (DDI Version 4) that can be expressed in XML Schema, RDF/OWL Ontology, relational database schema, and other languages. Such a data model will make it easier to interact with other disciplines and other standards, to understand the specification, to develop and maintain it in a consistent and structured way, and to enable software development that is less dependent on specific DDI versions.
Throughout the past year, content modeling teams have been working virtually to model DDI 4 to ensure that it can document a broad spectrum of data. This year’s Dagstuhl “sprint” will focus again on content modeling, bringing experts face to face to make accelerated progress.
The 2014 Dagstuhl workshop will extend and build upon progress made during the year to develop and implement the model in a community-driven way. Work will also continue on fine-tuning the production framework to automate as much as possible in a model-driven environment for the development of the standard. The goal is to move quickly to a basic version of the new model that can be released for review iterations.
This year there will also be a focus on incorporating enhanced data citation into the DDI model-based specification. With funding from the U.S. National Science Foundation, the University of Kansas and the University of Michigan are bringing together experts in data citation who will use the week at Dagstuhl to model data citation across the research data life cycle. Research data are important scientific contributions, adding to the global knowledge base and to our understanding of the world. Documentation standards like DDI need to incorporate mechanisms for attribution so that individuals can receive credit for their contributions to research datasets through proper data citation. Representatives from other metadata standards will collaborate with DDI modelers in adding comprehensive citation support to the DDI model. A taxonomy for the role of contributor to a dataset will also be developed. This work will provide a unique opportunity for cross-fertilization of the different metadata standards.
The 2014 workshop will provide a forum for interested participants with both a substantive and technical focus to contribute to a re-envisioned model-driven DDI specification. Deliverables from the workshop will include drafts of the model and its documentation, which will then be made available for public review, and mappings to other standards. The workshop will also produce a set of best practices for citing data at all levels and providing attribution to all dataset contributors. These best practices could be applied to other metadata standards in other disciplines.
Verwandte Seminare
- Forschungstreffen 07442: Further Development of the Data Documentation Initiative [DDI] XML Standard: Technical Implementation Committee Meeting (2007-10-28 - 2007-11-01) (Details)
- Forschungstreffen 08462: The Data Documentation Initiative [DDI] XML Standard: Working Meeting on Advanced Topics in Usability and Interoperability (2008-11-09 - 2008-11-14) (Details)
- Forschungstreffen 09452: The Data Documentation Initiative [DDI] XML Standard: Workshop on Implementation of DDI3 - Advanced Topics (2009-11-01 - 2009-11-06) (Details)
- Forschungstreffen 10422: The Data Documentation Initiative (DDI) Standard: Managing Metadata for Longitudinal Data — Best Practices (2010-10-17 - 2010-10-22) (Details)
- Forschungstreffen 11382: DDI: Managing Metadata for Longitudinal Data — Best Practices (2011-09-18 - 2011-09-23) (Details)
- Forschungstreffen 12432: DDI Lifecycle: Moving Forward (2012-10-21 - 2012-10-26) (Details)
- Forschungstreffen 13442: DDI Lifecycle: Moving Forward (Part 2) (2013-10-27 - 2013-11-01) (Details)
- Forschungstreffen 15433: DDI Moving Forward: Facilitating Interoperability and Collaboration with Other Metadata Standards (2015-10-18 - 2015-10-23) (Details)
- Forschungstreffen 16423: DDI Moving Forward: Facilitating Interoperability and Collaboration with Other Metadata Standards (2016-10-16 - 2016-10-21) (Details)
- Forschungstreffen 17423: DDI Moving Forward: Production Framework and Bindings (2017-10-15 - 2017-10-20) (Details)
- Forschungstreffen 18403: Interoperability of Metadata Standards in Cross-Domain Science, Health, and Social Science Applications (2018-09-30 - 2018-10-05) (Details)
- Forschungstreffen 19413: Interoperability of Metadata Standards in Cross-Domain Science, Health, and Social Science Applications II (2019-10-06 - 2019-10-11) (Details)
- Forschungstreffen 21393: Interoperability for Cross-Domain Research: Use Cases for Metadata Standards (2021-09-26 - 2021-10-01) (Details)
- Forschungstreffen 22353: Interoperability for Cross-Domain Research: Machine-Actionability & Scalability (2022-08-28 - 2022-09-02) (Details)
- Forschungstreffen 23403: Defining a core metadata framework for cross-domain data sharing and reuse (2023-10-01 - 2023-10-06) (Details)
- Forschungstreffen 24423: Evaluating and Refining Cross-Domain Metadata Exchange Frameworks (2024-10-13 - 2024-10-18) (Details)
- Forschungstreffen 25473: The Provenance Chain: Connecting and Reusing Data, Models, and Experiments (2025-11-16 - 2025-11-21) (Details)