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:

Questions

Introducing Question and Instrument Structures

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

1. Alicia (Laura?): Intro/housekeeping (5 mins)

2. DDI Lifecycle (Arofan, 20 mins)

3. CLOSER Use Case (dissemination) Hayley/Becky (15 mins)

4. INSEE (Eric - 15-20)

5. Stats Can (Flavio 10-15)

6. Q&A - Alicia discussant (15-20)

Date

Tentative: November 21, 10 am EST

Presenter(s)

• Moderator: Arofan Gregory

• [Colectica – ]

• [Simon Hodson]

• [?]

• Discussant: Alicia Urquidi Diaz

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.

• Provenance, confident reusability 

• Good documented comparability (CLOSER, etc.) across data sets and waves, concordances

Related Webinars and Resources

• CODATA Webinar: Thinking About Quality and DDI Metadata (https://doi.org/10.5281/zenodo.6250609 )

• How to Document Data Quality with DDI (https://doi.org/10.5281/zenodo.13834031 )

Q&A questions

Notes

Approach 1: We did a Data Quality webinar in the past (Quality Reporting Framework)

• Intro can cover these bases (Arofan)

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.)

• Colectica

Approach 3: If you’re an archive who wants an understanding of data quality. What metrics? FAIRness! Fair assessment metrics. What does this mean?

• Simon Hodson?

Approach 4 (related to 3): Role of trustworthy repositories in data quality (via FAIR?). [maybe for a separate webinar in may?]

— — — — — — — — — — — — — — — — — — — —

Technical connections to DDI Lifecycle, but it’s more general and can connect to all three standards.

1. Welcome/housekeeping (Arofan, 5 mins)

2. Introduction; Quality Reporting Framework (Arofan, 20 mins)

3. Rich metadata to support data quality assessment (15-20 mins)

4. FAIR assessment metrics as data quality metrics? (15-20)

5. Trustworthy Repositories (15-20)

6. Q&A - Alicia discussant (15)

Date(s) proposed

February 2025

Presenter(s)

• Moderator: Arofan Gregory

• Discussant: Alicia Urquidi Diaz

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

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).

• ESS Python/GraphQL interface to Colectica

• Adrian’s R Package

• DDI-CDI R and Python libraries

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?

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

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

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

• There may be some limitations on this due to SDTL being incomplete. 

• We'll need to check in with the SDTL working group.