This presentation was provided by Dr. Kawanna Bright of East Carolina University, during the NISO Training Series "Organizational Planning for DEIA: A 100 Level Course." Session Five, "Gathering the Data," was held October 15, 2021.

1. Gathering
the Data
Organizational Planning for
DEIA: A 100 Level Course
Dr. Kawanna Bright (she/her/hers)
Assistant Professor
East Carolina University

2. Land & People Acknowledgement
I want to acknowledge the Tuscarora people, who are the traditional
custodians of the land on which I work and live, and recognize their
continuing connection to the land, water, and air that Greenville
consumes. I pay respect to eight recognized tribes; Coharie,
Eastern Band of Cherokee, Haliwa-Saponi, Lumbee, Meherrin,
Occaneechi Band of Saponi, Sappony, and Waccamaw-Siouan, all
Nations, and their elders past, present, and emerging. I also want to
acknowledge the enslaved peoples who worked and died on these
lands, and their descendants. Their pain and struggle made it
possible for me to be with you today. I am their legacy.

3. Session Agenda & Goals
1. DEIA and Data Collection:
Overview
2. Identifying Stakeholder Needs
3. The DEIA Data Plan
4. DEIA Data Collection for Long-
Term Assessment
• Access
• Retention
• Security
• Use
1. Understand impact and history of
exclusionary practices in data
collection
2. Identify methods and practices
for increased stakeholder
collaboration
3. Learn about data plans and how
to integrate DEIA into data plans
4. Identify and understand aspects
of DEIA data collection that
impact long-term assessment

4. Engagement Norms
• Listen actively
• Be mindful of intent and impact
• Replace judgment with curiosity
• Share our experiences and opinions with “I” statements, rather than
generalizing with “we” or “they” comments
• Respectfully challenge ideas, not people
• Progressive stacking for questions. Use an * before your question if you
identify as a member of a historical excluded or marginalized group.

5. DEIA & Data Collection
Overview

6. Why Do We Need to Collect Data for DEIA?
• To identify gaps in services, programming, and support for all
stakeholders
• To support unbiased decision making
• To provide a complete view of our organizations
• To counter (counteract?) inequitable practices
(Ashley et al., 2021)
“Diversity, equity, and inclusion practices in arts and cultural planning”

7. Check In #1
• What DEIA data are you currently collecting in your
organizations?
• Why this data?
Join at slido.com
#nisodata

8. What DEIA data are you currently
collecting in your organization?
ⓘ Start presenting to display the poll results on this slide.

9. Legacies of Inadequacies
• Data collection is subjective
• This subjectivity has a trickle-down effect on data analysis,
decision-making, etc.
• Historical implications
• What we know and what we think we know is often impacted by a
subjective history of biased data collection
• Future implications
• Current practices, policies, and services implemented based on
inadequate data collection practices

10. What’s the Impact on
Meeting Stakeholder
Needs?

11. Identifying Stakeholder
Needs

12. Who Are Your Stakeholders?
Known?
• Tend to be established and
highly engaged with
organization
• Often proactive in voicing
their needs and wants
• Low effort needed to identify
needs
• Needs are often well
identified and well met
Unknown?
• Tend to be hidden and not
engaged with organization
• May not know they can share
their needs and wants
• High effort needed to identify
needs
• Needs are mostly unknown
and unmet

13. Check In #2
• Who are your stakeholders?
• How were they identified?
Join at slido.com
#nisodata

14. Who are your stakeholders?
ⓘ Start presenting to display the poll results on this slide.

15. Identifying Stakeholder Needs
Low Effort
• Anecdotal speculation
• Usage data
• Website analytics
• Publicly accessible data
• Short surveys
High Effort
• Observation*
• In-depth surveys
• Focus groups
• Interviews
• User experience studies
“Designing urban parks for inclusion, equity, and
diversity”
(Mehta & Mahato, 2020)

16. Check In #3
• Which methods are you applying?
• What methods do you use that aren’t on the list?
• Who is missing from this process?
Join at slido.com
#nisodata

17. Which data collection methods do
you use?
ⓘ Start presenting to display the poll results on this slide.

18. The DEIA Data
Collection Plan

19. What is a Data Collection Plan?
• A focused approach to data collection that specifies:
• Why (objectives)
• What (what data is needed)
• How (which collection methods/processes will be used;
permissions needed)
• Who (responsible parties; stakeholders; approval)
• When (timeline for collection)

20. A Specific DEIA Data Collection Plan Can…
• Identify who and what is missing from the data being collected
• Intentionally include all stakeholders in the collection process
• Focus on DEIA specific data*
* Collecting DEIA specific data, while important, also needs to
be done with care and consideration. The why, what, how, and
who will be especially important to outline, along with a clear
focus on intent of use.

21. Example of a Concise Plan
https://citoolkit.com/wp-content/uploads/templates/data_collection_plan_concise.pdf

22. Example
of a
Detailed
Plan
https://citoolkit.com/wp-
content/uploads/templates/data_collection_plan_detailed.pdf

23. DEIA Elements to Add, Include, or
Emphasize
• Emphasis on representation (inclusion)
• Who/what are the data inclusive of? Conversely, who/what is excluded?
• Types of data
• Quantitative supplemented by qualitative
• Collection methodology variation
• Mixture of low and high effort approaches
• “Personal,” demographic data
• Valuable for identifying concerns/issues across factors
• Anonymization and aggregation are essential

24. DEIA Data Collection for
Long-Term Assessment
Benchmarks, trends, and success

25. Access
• Data does you no good if once you collect it, no one can access
it
• Should access be limited? To whom?
• Access to raw versus cleaned data should differ
• Where and how you store your data will impact access
• Open repository
• Internal organizational access only (pw protected)
• External organizational access (aggregated)

26. Retention
• How long should you hold on to your data?
• Retention needed for trends analysis
• Dissemination of information on a regular basis can support shorter
retention of raw data in some situations
• Format of your data will impact retention
• To digitize or not to digitize?
• Retention should be considered in your data collection plan

27. Security
• Directly related to access to data
• Decisions around the who, the
where, and the how need to be
made
• Internal vs External
• Own servers? Cloud? Employee
computer? File cabinets?
• Passwords? Lock and key?

28. Use
• Data should only be used for the objective identified in the data
collection plan
• Especially important for raw demographic data
• Ethical use of data includes removing bias from data analysis,
interpretation, and reporting
• DEIA data needs to be used if collected!

29. Questions?

30. References
Ashley, A. J., Loh, C. G., Bubb, K., & Durham, L. (2021). Diversity, equity, and inclusion
practices in arts and cultural planning. Journal of Urban Affairs.
https://doi.org/10.1080/07352166.2020.1834405
CIToolkit. (n.d.-a). Data collection plan (concise). Continuous Improvement Toolkit.
https://citoolkit.com/wp-content/uploads/templates/data_collection_plan_concise.pdf
CIToolkit. (n.d.-b). Data collection plan (detailed). Continuous Improvement Toolkit.
https://citoolkit.com/wp-content/uploads/templates/data_collection_plan_detailed.pdf
Mehta, V., & Mahato, B. (2020). Designing urban parks for inclusion, equity, and diversity.
Journal of Urbanism: International Research on Placemaking and Urban Sustainability.
https://doi.org/10.1080/17549175.2020.1816563

31. Resources
Center for Community Health and Development, University of Kansas.
(n.d.). Community tool box. https://ctb.ku.edu/en
Criado-Perez, C. (2019). Invisible women: Data bias in a world designed for
men. Abrams Press.
Lopresti, R. (2017). When women didn’t count: The chronic mismeasure and
marginalization of American women in federal statistics. Praeger.
Taylor, D. E., Paul, S., & McCoy, E. (2019). Diversity, equity, and inclusion
and the salience of publicly disclosing demographic data in American
environmental nonprofits. Sustainability, 11, 5491.
https://doi.org/10.3390/su11195491