Qualitative Data Subgroup
This page is meant to provide information about the new subgroup under DDI-CDI dealing with qualitative data . It was initiated at Dagstuhl 2023 as Non-Numeric, Non-Code Datums Here you will find important documentation and information about the group, its purpose, members and useful links and materials.
Purpose of the group
The goal of the group is to provide the means (using DDI-CDI) to render qualitative data (see definition above) in an interoperable way, so that any researcher, regardless of their research methods or discipline, can employ it for their own research questions and eventually combine it with other data.
Anyone interested in contributing to this work should contact us (Email addresses below)
You can read about the origins of the Qualitative Data Subgroup within DDI-CDI in this presentation:
For an introduction to the scope of our work, see the slides and
Members |
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Noemi Betancort | ||
Kati Mozygemba | ||
Arofan Gregory |
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Hilde Orten |
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Dan Gillman |
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Filipi Miranda Soares |
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Larry Hoyle |
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Darren Bell |
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Paula Checchia |
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Sebastian Karcher |
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Dessislava Kirilova |
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Elizabeth Lea (Libby) Bishop |
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Meeting time |
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Regular meeting time for Qualitative Data DDI-CDI-Subgroup. The meeting will take place EVERY 2 WEEKS Friday at 08:00 Minneapolis, 09:00 New York/Ottawa, 15:00 Central European. Meeting dates: every 2 weeks (Paused from Dec 20, 2024 till Jan 24, 2025 ) |
Current work area : call for Use Cases
Jul 19, 2024
We have started to collect use cases information and are currently evaluating one use case with social media data and other one with data from a mixed methods social science study.
Use cases are examples of studies or datasets in which qualitative data is being/has been collected and has the potential to be reused in other studies and/or disciplines, or combined with other (e.g. quantitative) data.
More use cases are welcome! Please contact noemi.betancort@suub.uni-bremen.de
Scope: Gather information on existing national and international case studies that illustrate use cases related to non-numeric, qualitative data.
Goal: We are pursuing the goal of finding out how to provide non-numeric / qualitative data so that it is ready for (re)analysis. With the use cases we will get an overview of the different types of qualitative data, how researchers or data curators work with them and what they need/do to prepare them for analysis, for combination with other collected data, or for use in different softwares.
Useful links |
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DDI-CDI „Selector“ Field Level Documentation: : Selector — UML Model: DDI Cross Domain Integration (DDI-CDI 1.0) Web Annotation Data Model: W3C Recommendation 23 February 2017. https://www.w3.org/TR/annotation-model/ Web Annotation Vocabulary: W3C Recommendation 23 February 2017. https://www.w3.org/TR/annotation-vocab/ Media Fragments URI 1.0 (basic): W3C Recommendation 25 September 2012. https://www.w3.org/TR/media-frags/ Selectors Level 3: W3C Recommendation 06 November 2018. https://www.w3.org/TR/2018/REC-selectors-3-20181106/ |
Publications |
Qualitative Data and DDI: Chances to move forward DDI Alliance Annual Meeting of the Scientific Community, May 2024 https://doi.org/10.5281/zenodo.11463891 Improving interdisciplinary research with cross-domain metadata for qualitative data objects. Helmholtz Metadata Collaboration (HMC) Conference 2024 https://doi.org/10.5281/zenodo.14039150 |