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Profiling a Program with Available Data
1
Profiling a Program
(or Dept.) with
Available Data
Session
• Today’s session explores ways to profile a program or department
or bureaucratic unit, so that that data is available when it comes
time to write a grant proposal, write a grant report, or use
documented information for other programmatic purposes. So
much is known by insiders to a program, and so much is at their
fingertips, but it can be difficult to acquire the needed information
for the necessary work. This session suggests that some initial
and continuing effort to document a program or department
would be beneficial. This is an exercise in“know thyself”as a
bureaucratic unit.
2
Self Intros
3
1
2
3
Profiling a Program with Available Data
2
Warm-up Activity
Think about your bureaucratic unit. How well do you know it? Ready to put
your knowledge to the test? 
4
Quick Refresher
5
Source Features
Quantitative
• Datasets, data tables
• Data analytics
• Data visualizations
• Data over time (and
longitudinal data) can provide
a sense of trends…and
trendlines.
Qualitative
• Text files
• Documents, reports,
slideshows
• Photos, slides, illustrations,
visuals
• Handbooks, newsletters,
publications, books
• Posters, trifolds, table tents
6
4
5
6
Profiling a Program with Available Data
3
Where from?
Internal Sources
• Artifacts from the program:
brochures, reports, etc. (both
print and digital)
• Institutional memory (staff,
current and prior)
• Trace data from LMSes, CMSes,
training systems, social media,
and others
• Data (raw) and information
(processed)
• Hard drives
External Sources
• Third-party sources
• Professional partners
• Community members
• Grant funders
• Colleague institutions
7
What Data and Information Would
You Consider Salient to Profile an
Academic Program? Why?
Where would you look for it? Why?
8
9
7
8
9
Profiling a Program with Available Data
4
Program History
10
What history?
• When did the program start?
• How long has it been part of HutchCC?
• How has the program evolved over time?
• Are there important events of the past? Important“pivot”points?
• Has the program melded with other programs?
• Important experiments?
• Colorful personalities? Notable peoples?
11
What history?(cont.)
• What are some of the highlights of the program’s past?
• Notable achievements?
• Notable physical buildings?
• Notable technologies?
• Time overlaps with important events?
• Honorable mentions?
12
10
11
12
Profiling a Program with Available Data
5
Why history?
• History adds context.
• Stories are memorable. Anecdotes are memorable.
• Prior personages add human interest.
• History adds “color.” It makes documented grant applications and
reports more interesting.
• History helps people today see the program as a continuum…and
helps people think of what the future may include.
13
Prior Achievements
14
What prior achievements?
• How has the program contributed to the community?
• How has the program contributed to the discipline?
• How has the program contributed to the research? To the
research literature? Publishing?
• Are there novel innovations?
• Prior funding streams? Grant funding?
15
13
14
15
Profiling a Program with Available Data
6
16
Current State of the Program /
Dept. / Bureaucratic Unit
17
Current state
• Staffing, roles; full-time and part-time; org chart
• Numbers of students, in what programs, in pursuit of what areas
of study post-HutchCC
• Degree tracks, certificate tracks
• Fees, tuition
• Budget, funding sources
• Initiatives
• Partnerships, ties to industry, collaborations
18
16
17
18
Profiling a Program with Available Data
7
Current state(cont.)
• Authorizing documents, mission statements, values statements (if
used)
• Branding, wordmarks, logos, taglines
• Building, physical infrastructure
• Equipment
• Technologies
19
Steps to Program Profiling
20
Steps to program profiling
1. Take stock. See what is data and information are available.
2. Collect what is available, and assess.
3. Record what is known. Record what is not known (but would be
helpful to know).
4. Set up ways to collect available information from people. Set up
ways to collect information from technical systems.
5. Digitize what is knowable.
6. Archive the information in an easy-to-access space, and ensure
that is a backup copy, too.
21
19
20
21
Profiling a Program with Available Data
8
Learning from Usages of Program
Data
22
Learning in real time
• Pay attention to what is needed for various (grant) applications
and reports. Whatever data or information is collected for those
contexts should be noted for mainline program knowledge.
• Add to the store of program / dept. / bureaucratic unit information.
23
Updating the Holdings
24
22
23
24
Profiling a Program with Available Data
9
Update transient data and information
• Make sure to update data and information.
• When new semesters come around, update.
• When new equipment is switched in or out, update.
• When staffing changes occur, update.
• Etc.
25
Beyond Available Data
26
Beyond available data…
• It is possible to set up new ways of collecting information through
online surveys and other systems.
• It is possible to elicit information in fresh ways, such as focus
groups and interviews.
• Events at the college may enable the collection of usable data and
insights.
• There are ways to create “knowledge”from current data, with new
analytics.
27
25
26
27
Profiling a Program with Available Data
10
Beyond available data… (cont.)
• Data collection should be a tool in the toolkit.
• [There are professional and ethical rules for any human subjects
research…and the Institutional Review Board (IRB) may have to
get involved…]
• [There are constraints on how data and information may be used.]
28
Usability
29
Usability
• For the information to be usable, it has to be accurate. Control
against mistakes in the collecting and recording.
• For it to be useful, it has to be coherent. It has to make sense to
those who receive the information.
• For the program information to be usable, it has to be in a readily
available form. A basic folder with some writeups and data tables
may be one way to ensure usability. Or perhaps a Microsoft Word
file with all the basic relevant text and data tables could work.
30
28
29
30
Profiling a Program with Available Data
11
Gentle Reminder
31
Some notes…
• Contemporaneous information is more relevant than historical
information, ceteris paribus.
---
• Human memory is limited. It is fallible. It is inaccurate, without
documentary supports.
• What is not recorded…is misremembered. It is forgotten.
• What is not recorded…loses its value. Ephemera cannot be
referred to in any compelling way.
32
Conclusion
33
31
32
33
Profiling a Program with Available Data
12
In conclusion
• There are benefits to having a program / dept. / bureaucratic unit
profile ready to use…for grant applications, grant reports, and
other uses.
• There is a lot of internal self-knowledge among staff…and
capturing and archiving that can be highly beneficial to grant- and
other academic- work.
34
Other Ideas?
35
Contact
• Dr. Shalin Hai-Jew
• Grant Writer
• HaijewSh@hutchcc.edu
• 620-694-2453
36
34
35
36

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Notes Profiling a Program w/ Available Data

  • 1. Profiling a Program with Available Data 1 Profiling a Program (or Dept.) with Available Data Session • Today’s session explores ways to profile a program or department or bureaucratic unit, so that that data is available when it comes time to write a grant proposal, write a grant report, or use documented information for other programmatic purposes. So much is known by insiders to a program, and so much is at their fingertips, but it can be difficult to acquire the needed information for the necessary work. This session suggests that some initial and continuing effort to document a program or department would be beneficial. This is an exercise in“know thyself”as a bureaucratic unit. 2 Self Intros 3 1 2 3
  • 2. Profiling a Program with Available Data 2 Warm-up Activity Think about your bureaucratic unit. How well do you know it? Ready to put your knowledge to the test?  4 Quick Refresher 5 Source Features Quantitative • Datasets, data tables • Data analytics • Data visualizations • Data over time (and longitudinal data) can provide a sense of trends…and trendlines. Qualitative • Text files • Documents, reports, slideshows • Photos, slides, illustrations, visuals • Handbooks, newsletters, publications, books • Posters, trifolds, table tents 6 4 5 6
  • 3. Profiling a Program with Available Data 3 Where from? Internal Sources • Artifacts from the program: brochures, reports, etc. (both print and digital) • Institutional memory (staff, current and prior) • Trace data from LMSes, CMSes, training systems, social media, and others • Data (raw) and information (processed) • Hard drives External Sources • Third-party sources • Professional partners • Community members • Grant funders • Colleague institutions 7 What Data and Information Would You Consider Salient to Profile an Academic Program? Why? Where would you look for it? Why? 8 9 7 8 9
  • 4. Profiling a Program with Available Data 4 Program History 10 What history? • When did the program start? • How long has it been part of HutchCC? • How has the program evolved over time? • Are there important events of the past? Important“pivot”points? • Has the program melded with other programs? • Important experiments? • Colorful personalities? Notable peoples? 11 What history?(cont.) • What are some of the highlights of the program’s past? • Notable achievements? • Notable physical buildings? • Notable technologies? • Time overlaps with important events? • Honorable mentions? 12 10 11 12
  • 5. Profiling a Program with Available Data 5 Why history? • History adds context. • Stories are memorable. Anecdotes are memorable. • Prior personages add human interest. • History adds “color.” It makes documented grant applications and reports more interesting. • History helps people today see the program as a continuum…and helps people think of what the future may include. 13 Prior Achievements 14 What prior achievements? • How has the program contributed to the community? • How has the program contributed to the discipline? • How has the program contributed to the research? To the research literature? Publishing? • Are there novel innovations? • Prior funding streams? Grant funding? 15 13 14 15
  • 6. Profiling a Program with Available Data 6 16 Current State of the Program / Dept. / Bureaucratic Unit 17 Current state • Staffing, roles; full-time and part-time; org chart • Numbers of students, in what programs, in pursuit of what areas of study post-HutchCC • Degree tracks, certificate tracks • Fees, tuition • Budget, funding sources • Initiatives • Partnerships, ties to industry, collaborations 18 16 17 18
  • 7. Profiling a Program with Available Data 7 Current state(cont.) • Authorizing documents, mission statements, values statements (if used) • Branding, wordmarks, logos, taglines • Building, physical infrastructure • Equipment • Technologies 19 Steps to Program Profiling 20 Steps to program profiling 1. Take stock. See what is data and information are available. 2. Collect what is available, and assess. 3. Record what is known. Record what is not known (but would be helpful to know). 4. Set up ways to collect available information from people. Set up ways to collect information from technical systems. 5. Digitize what is knowable. 6. Archive the information in an easy-to-access space, and ensure that is a backup copy, too. 21 19 20 21
  • 8. Profiling a Program with Available Data 8 Learning from Usages of Program Data 22 Learning in real time • Pay attention to what is needed for various (grant) applications and reports. Whatever data or information is collected for those contexts should be noted for mainline program knowledge. • Add to the store of program / dept. / bureaucratic unit information. 23 Updating the Holdings 24 22 23 24
  • 9. Profiling a Program with Available Data 9 Update transient data and information • Make sure to update data and information. • When new semesters come around, update. • When new equipment is switched in or out, update. • When staffing changes occur, update. • Etc. 25 Beyond Available Data 26 Beyond available data… • It is possible to set up new ways of collecting information through online surveys and other systems. • It is possible to elicit information in fresh ways, such as focus groups and interviews. • Events at the college may enable the collection of usable data and insights. • There are ways to create “knowledge”from current data, with new analytics. 27 25 26 27
  • 10. Profiling a Program with Available Data 10 Beyond available data… (cont.) • Data collection should be a tool in the toolkit. • [There are professional and ethical rules for any human subjects research…and the Institutional Review Board (IRB) may have to get involved…] • [There are constraints on how data and information may be used.] 28 Usability 29 Usability • For the information to be usable, it has to be accurate. Control against mistakes in the collecting and recording. • For it to be useful, it has to be coherent. It has to make sense to those who receive the information. • For the program information to be usable, it has to be in a readily available form. A basic folder with some writeups and data tables may be one way to ensure usability. Or perhaps a Microsoft Word file with all the basic relevant text and data tables could work. 30 28 29 30
  • 11. Profiling a Program with Available Data 11 Gentle Reminder 31 Some notes… • Contemporaneous information is more relevant than historical information, ceteris paribus. --- • Human memory is limited. It is fallible. It is inaccurate, without documentary supports. • What is not recorded…is misremembered. It is forgotten. • What is not recorded…loses its value. Ephemera cannot be referred to in any compelling way. 32 Conclusion 33 31 32 33
  • 12. Profiling a Program with Available Data 12 In conclusion • There are benefits to having a program / dept. / bureaucratic unit profile ready to use…for grant applications, grant reports, and other uses. • There is a lot of internal self-knowledge among staff…and capturing and archiving that can be highly beneficial to grant- and other academic- work. 34 Other Ideas? 35 Contact • Dr. Shalin Hai-Jew • Grant Writer • HaijewSh@hutchcc.edu • 620-694-2453 36 34 35 36