Webinar Series 2024-2025

Overview – Planned Webinars 2024-2025

May 22, 2024: Questions and Survey Instruments in DDI: Maximizing the Value of Your Metadata. (Registration)

TBD: 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

Documents and other useful links

Drive folder (internal documents)

Link to 2023-2024 document

Link to 2024

Linktree

Zenodo official DDI training repo, and link to website Training materials

Meetings

​Rolling notes

Members

e-mail

Alicia Urquidi Diaz

alicia.urquidi@utoronto.ca

Arofan Gregory

ilg21@yahoo.com

Farrah Sanjari

farrah.sanjari@statcan.gc.ca

Laura Molloy

laura@codata.org

Planned Webinars

Rich Metadata and Data Quality

Rich Metadata and Data Quality

Date

TBD

Presenter(s)

  • Moderator: Arofan Gregory

  • [Colectica – ]

  • [Simon Hodson, CODATA]

  • [Reyna Jenkyns, WDS-ITO]

  • 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

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.

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

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)

 

 

Tools for working with DDI

Tools for working with DDI

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

Other Webinar Topics

Developing DDI applications with python, R, and GraphQL

Developing DDI applications with python, R, and GraphQL

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?

 

Smart metadata and the role of DDI in statistical production

Smart metadata and the role of DDI in statistical production

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

DDI Controlled Vocabularies

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

Using SDTL

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.