Requests meeting minutes

Owned by Jennifer Zeiger
Last updated: Aug 14, 2024
4 min read

  1. EDDI train the trainers workshop

    1. EDDI 2024 Train the Trainers Abstract

    2. Time: 2 days at 3 hours each, or 1 day of 6 hours? Do we need more time?

      1. TBD - what is easier on attendees?

    3. Who can help run? 

      1. Currently: Catherine Yuen, Jennifer Zeiger, Alina Danciu listed

      2. Send poll to TWG to ask who is going and interested?

        1. Consensus - send poll

        2. Irene, Kaia  to see if going

    4. Jennifer to collect materials from last year’s workshop

      1. Abstract and organizational notes on EDDI 23 in-person workshop: 2023

 

  1. Request 1: Jordan Gross-Richmond, AMS Analytics

    1. Arofan contacted

    2. “We are a small firm serving the non-profit sector.  I am interested in identifying cataloging / defining standards for the loads of information we've already collected as well as setting the standard for what  we will collect.”

  2. Request 2: Melissa Lee, WestEd

    1. hoping for a 1-2 hour session, sometime in September or October 2024. Requested September 18 (Wednesday) at 12pm PST / 3pm EST

    2. DDIC and DDIL introduction

    3. “We are a group of researchers working with quantitative data and are interested in learning how to align our codebooks/data to DDI standards for repositories such as ICPSR. We've spent some time digging into the resources on the DDI website but are still feeling like we don't have a grasp of how to do this. Thus, the training I'm seeking would be a "how to" session for DDI Lifecycle or Codebook. 

 

To make the most of the speaker's time I'd also like to open this training up to all researchers at WestEd (not only members of the community of practice) as there may be some researchers not part of our group but would be interested in this so the speaker may also want to do a short intro to the "Why" and "Why" for DDI. ”

 

Attending: Kaia, Chantal, Flavio

Subgroup membership / inclusion on confluence list (TO, Requests)

I’m paring down the email list and meeting invites for these groups so I only include those who want to be.

  1. Opportunities subgroup members:

    1. Identify relevant conferences and track submission deadlines

    2. Determine workshop/event content

    3. Write and submit proposals to the necessary organizations, or ask for volunteers from the TWG to do so

    4. Find people to lead said workshop/event

  2. Requests subgroup members: 

    1. Determine how to best meet a requester’s needs

    2. When we need to organize a training, we’ll discuss it during one or more regular Training Opps meeting(s) 

      1. I’ll notify members as much in advance as possible when these discussions are to take place

      2. If we need to for any reason, we can schedule a separate meeting instead

 

Volunteer(s) to keep the Conference spreadsheet up to date?

  1. To revisit next meeting

 

UN World Data Forum blog (United Nations World Data Forum )
Thematic areas: United Nations World Data Forum

  1. Deadline 30 November

  2. Any volunteers to draft an email to the Training Working Group asking for writer(s)? Jennifer will write this

 

EDDI workshop

  1. Deadline Sept 2

  2. Alina Danciu will help organize

  3. Discussed it being a Train the Trainers event

    1. Perhaps have this event outside of EDDI 

    2. DDI is huge 

    3. Discuss mappings? Or relation to GSIM - relates to focus on NSO

      1. Requests from other groups/standards? - CDI working on this

      2. Maybe hold as webinars? - check in with Alicia

      3. This coming EDDI might be too soon

Apr 10, 2024

Attending: Catherine Yuen, Alicia Urquidi Diaz, Nicole James, Kaia Kulla, Irene Koraki Folli

 

  1. Admin items: 

    1. New meeting time?

      1. Maybe start earlier, same day

    2. Do you want to be included on future emails and meeting invites?

      1. Catherine may not make the meetings, but inclusion on emails OK

  2. Start working on assessing, collecting, and (later) producing the materials needed for training

    1. Discuss DDI Audiences document (DDI Audiences and Products.docx)

      1. Feedback

        1. Alicia: Great effort, clarity is valuable

          1. Is the classification and definition of audiences good enough? 

          2. How to make sure we have a useful classification and description of needs

          3. Worth the effort? Good to have overview, and prioritize different ones 

          4. Focus on activities rather than roles. This can make it more targeted. Target on the activity rather than the role/job

            1. There’s a lot of crossover between different roles

            2. Look at data lifecycle and divide it into specific activities

        2. Kaia: add link to statisticians needed

          1. Activity is closely related to role they play - audience not wholly ignorable - it can create issues to not include audience in plans

          2. Differences in how roles are named and how they function between places

          3. Need to include data stewards, not just look at universities

        3. Irene: Do we have statistics on who is using it/how it’s used? Should focus on biggest group of users

        4. Jennifer: Audience division might be more helpful for website, specific task might be more useful for designing training

        5. Researchers  - depends on field and researcher how relevant DDI understanding will be

          1. Distinguish between researchers as producers and as reusers to focus WG activities most helpfully

      2. Audience vs activity

        1. Create table of activities and roles? - need more research to make role-based categories to work

        2. Concentrate on activity, role, or functions (what it’s possible to do)

          1. There must be connections between all these angles

        3. ACTION: Alicia to create table of Audiences and Roles as they stand now

      3. Which audience would be best to initially focus on?

        1. Who are the majority of users? 

        2. Among data producers and researchers, there’s a lot of variation it might be interesting to parse out. Some cases, they’re the same, sometimes researchers are the ones creating, managing, searching for, etc

        3. Focus on activity over role?

        4. Data producers and researchers seem intuitive place to start (data production and data reusing)

    2. Review layout and contents of Training Materials | Data Documentation Initiative

  3. Training request procedure

    1. Draft:

      1. First response email: Updated_Email to training requests

      2. Update spreadsheet (Training requests detailed)

      3. Assess size and topic of need:

        1. If should be pointed elsewhere: Put requester in contact with them

        2. If need training: in Training Reqs meeting, determine…

          1. Type of training needed (size of group, language, time)

          2. Subject of training

          3. Relevant trainer(s) 

      4. Contact trainer(s), organize meeting time(s)

      5. If necessary: Hold preliminary meeting among trainers to determine course of action

      6. After meeting: update training requests spreadsheets

Mar 13, 2024

Attendees: Catherine Yuen, Kaia Kulla, Jennifer Zeiger, Jieun Jeong

 

  1. Overview of scope

  2. Review of upcoming conferences (https://docs.google.com/spreadsheets/d/1zm_LXYq6iWiKxKmBLY2zN1NMjfAaFfYwfazYRXPT9gQ/edit?usp=sharing )

    1. EDDI (December) - Train the Trainers

    2. SciDataCon (October?) - ACTION: JZ to check on proposal submitted for 2024

    3. Review spreadsheet: Other conferences to add? Conferences to remove?

  3. Standing training requests - Anna Tominaga

    1. “I worked for a large clinical trial which is now a cohort study of the same participants. We are a long running trial and are looking to better organise, store and make use of our metadata. I'm looking for standards and schemas to help me develop database tables to store the data in (we will likely use our own programmer to make this metadata searchable on a platform). So I'm really looking for guidelines on what key metadata I should be including, how the data should be structured, common terms that should be used etc.”\

    2. Doesn’t want to use Colectica

    3. Use of overlap, communication between DDI and Generic Statistical Information Model?

      1. Differences - labeling; variable cascade is opposite

      2. Mapping exists

  4. Discuss creation of training request procedure

    1. Current procedure:

      1. Request comes in

      2. Jennifer contacts them, provides links to existing resources, requests more information

      3. If resources do not answer needs: organize virtual session

  5. Spanish Statistical agency contacted Estonian after EDDI 2023

    1. Met earlier this year, meeting again in April