Overview – Planned Webinars 2024-2025
May 22, 2024: Questions and Survey Instruments in DDI: Maximizing the Value of Your Metadata. (Registration)
November 2024: Rich Metadata and Data Quality: The Case for DDI in Promoting Data Reuse.
TBD: Tools for working with DDI.
TBD: Developing DDI applications with python, R, and GraphQL
Documents and other useful links |
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Drive folder (internal documents) Zenodo official DDI training repo, and link to website Training materials |
Meetings |
Members | |
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Alicia Urquidi Diaz | |
Arofan Gregory | |
Laura Molloy |
Questions and Survey Instruments in DDI: Maximizing the Value of Your Metadata. 3
2023 Webinar
Questions and Survey Instruments in DDI: Maximizing the Value of Your Metadata.
Topic
Questions and Survey Instruments in DDI: Maximizing the Value of Your Metadata.
Priority
high
Presenter(s)
Arofan Gregory (DDI-L)
CLOSER – Becky Oldroyd
Insee – Éric Sigaud
StatsCan – Flavio Rizzolo
Date(s) proposed
May 22nd, 2024 at 13h UTC (9am EDT, 15h CEST)
Register here
Content description
Questions and the questionnaires in which they are used serve as an important focus when reusing data, but also serve as a resource which can be used to maximise comparability across studies, and to make the design of questionnaires more efficient. Further, a rigorous description of survey logic and flow can provide the basis for automation of the data collection process, heightening efficiencies for longitudinal and other repeated surveys.
This webinar looks at the DDI structures for describing questions and survey instruments. Our guest speakers illustrate how this metadata can be leveraged to best effect, with examples from CLOSER, a collaborative digital infrastructure for longitudinal population studies, data and research, and two national statistics agencies: Insee (the French National Institute of Statistics and Economic Studies), and StatsCan (Statistics Canada). Becky Oldroyd, Metadata Officer at CLOSER, shares the ways that rich metadata at the variable-, question- and questionnaire-level improves the discoverability of data for longitudinal, cross-study research. Éric Sigaud describes how Insee is developing open-source tooling to support metadata-driven workflows, such as automated creation of survey instruments. Finally, Flavio Rizzolo talks about StatsCan’s ongoing work of adopting DDI-Lifecycle tools to design and manage questionnaires using Colectica together with the agency’s in-house data tools and systems.
Related DDI
Related DDI training slides:
Q&A questions
Highlight users/stakeholders that benefit
Two implementers: Statistics agencies
CLOSER: Researchers’ use case, spend a lot of time documenting metadata they receive
Mentioning multilingual support! French, for now.
Notes
Metadata-driven workflows. Best way to do this: questions & questionnaires, and best ways to do it
Contents:
DDI-L overview
Use cases:
CLOSER- Use Case (dissemination), using metadata to find variables
Insee- Start from metadata, develop questionnaires (metadata-driven workflow, open-source tooling developed at Insee. Very new tooling.
StatCan- Idea becoming more widespread, Colectica for questionnaires. Not there yet, but integrating with system developed in-house. Two different pictures: Colectica as metadata repository, in the future it’s going to be more about integrating tools, with Colectica as questionnaire design.
Discussion/Q&A
Flow
Alicia (Laura?): Intro/housekeeping (5 mins)
DDI Lifecycle (Arofan, 20 mins)
CLOSER Use Case (dissemination) Hayley/Becky (15 mins)
INSEE (Eric - 15-20)
Stats Can (Flavio 10-15)
Q&A - Alicia discussant (15-20)
2024-2025 Webinars
Rich Metadata and Data Quality — November 21, 2024 (pre-EDDI)
Topic | Rich Metadata and Data Quality: The Case for DDI in Promoting Data Reuse |
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Date | Tentative: November 21, 10 am EST |
Presenter(s) |
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Content description | The most-reused data is the best documented, and DDI plays a significant role in this space. Data supports data reuse and enhances data quality from the researcher perspective.
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Related Webinars and Resources |
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Q&A questions | |
Notes | Approach 1: We did a Data Quality webinar in the past (Quality Reporting Framework)
Approach 2: There’s an approach that says quality can only be assessed when you know the research question, data is either fit for it, or not (rich metadata dimension: statistical accuracy, etc.)
Approach 3: If you’re an archive who wants an understanding of data quality. What metrics? FAIRness! Fair assessment metrics. What does this mean?
— — — — — — — — — — — — — — — — — — — — Technical connections to DDI Lifecycle, but it’s more general and can connect to all three standards. |
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Tools for Working with DDI — February 2025
Topic | Tools for working with DDI |
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Date(s) proposed | February 2025 |
Presenter(s) |
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Content description | A survey of available DDI software for DDI Codebook, DDI Lifecycle, and DDI-CDI. |
Related Material | Related DDI webinar videos [Related DDI training or documentation & other resources] [Related projects/demos/practical examples/communities/discussions] |
Q&A questions | [add here any questions/prompts we’d like to make sure are asked (e.g. during Q&A)] |
Notes | Ideally highlighting multiple possible tools to use Odesi Data Explorer tool (newly released) Engage Developer group as much as possible - ask for volunteers from group? Croissant ML (Pascal Hayes) CLOSER |
Other Webinar Topics
DDI applications with python, R, and GraphQL
Topic | Developing DDI applications with python, R, and GraphQL |
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Priority | high |
Presenter(s) | [Proposed presenter(s)] |
Date(s) proposed | |
Content description | A webinar looking at modern approaches to application development using the named languages (and possibly others).
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Related DDI | Related DDI webinar videos [Related DDI training or documentation & other resources] [Related projects/demos/practical examples/communities/discussions] |
Q&A questions | [add here any questions/prompts we’d like to make sure are asked (e.g. during Q&A)] |
Notes | Engage Developer group as much as possible - ask for volunteers? |
Smart Metadata
Topic | Smart metadata and the role of DDI in statistical production |
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Priority | back-up |
Presenter(s) | [Proposed presenter(s)] |
Date(s) proposed | |
Content description | This webinar would showcase how metadata-driven systems can be designed, and how rich, granular metadata can be used to drive processes rather than function as an output. Explores the possible future role of metadata in relation to emerging AI tools. |
Related DDI | Related DDI webinar videos [Related DDI training or documentation & other resources] [Related projects/demos/practical examples/communities/discussions] |
Q&A questions | [add here any questions/prompts we’d like to make sure are asked (e.g. during Q&A)] |
Notes |
DDI Controlled Vocabularies
Topic | DDI Controlled Vocabularies |
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Priority | back-up |
Presenter(s) | [Proposed presenter(s)] |
Date(s) proposed | |
Content description | [what the webinar would cover, outline and eventually abstract description] |
Related DDI | Related DDI webinar videos [Related DDI training or documentation & other resources] [Related projects/demos/practical examples/communities/discussions] |
Q&A questions | [add here any questions/prompts we’d like to make sure are asked (e.g. during Q&A)] |
Notes | Ideally done in collaboration with CV working group |
Using SDTL
Topic | Using SDTL |
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Priority | back-up |
Presenter(s) | [Proposed presenter(s)] |
Date(s) proposed | |
Content description | SDTL is producing an Implementation Guide, and this webinar would show the benefits of SDTL and related specifications in the archiving and dissemination of data in archives and elsewhere. |
Related DDI | Related DDI webinar videos [Related DDI training or documentation & other resources] [Related projects/demos/practical examples/communities/discussions] |
Q&A questions | [add here any questions/prompts we’d like to make sure are asked (e.g. during Q&A)] |
Notes |
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