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USING VISUALIZATION TO TURN DATA INTO 
KNOWLEDGE: OUTCOMES OF HIGHER EDUCATION 
IN OHIO 
Kr istin Har low, Research Associate 
Center for Human Resource Research 
U s i n g D a t a t o I n f o rm P o l i c y , P r a c t i c e , a n d T e a c h e r S u c c e s s I C o l umb u s , O H I O c t o b e r 1 , 2 0 1 4
AGENDA 
1. Ohio Longitudinal Data Archive 
2. Higher Education and Wage Data 
3. Data Visualizations 
4. Visualization of Higher Education 
Outcomes
OHIO LONGITUDINAL DATA ARCHIVE 
Ohio 
Longitudinal 
Data Archive 
(OLDA) 
Ohio 
Education 
Research 
Center 
(OERC) 
Center for 
Human 
Resource 
Research 
(CHRR) 
Researchers 
State Agents 
Public Stakeholders 
3
4 
OHIO LONGITUDINAL DATA ARCHIVE 
OLDA 
Ohio Department 
of Job and Family 
Services 
Individual Wages 
and Employers 
Employer 
Information 
Unemployment 
Insurance Benefits 
Workforce 
Investment Act 
Ohio Board of 
Regents 
Ohio Public Higher 
Education 
Student 
Faculty 
Ohio Technical 
Centers 
(formerly AWE) 
Adult Basic and 
Literacy Education 
Ohio Department 
of Education 
Education 
Management 
Information 
System (EMIS) 
Student 
Staff 
District 
Course
5 
ADMINISTRATIVE DATA 
Benefits: 
Population data 
No cost of data collection 
Access to detailed measures without burden to 
respondents 
Concerns: 
Not collected for research purposes 
Quality
Center for Human Resource Research 
makes OLDA link-able 
Create Pseudo-ID 
Archive data by unique Pseudo-ID 
6 
LINK DATA FROM DIFFERENT SOURCES
How much do graduates of Ohio’s higher 
education institutions earn in the 
workplace? 
Does the type of degree impact 
graduates’ earnings? 
7 
POLICY QUESTIONS
8 
OLDA CAN ANSWER THESE QUESTIONS 
OLDA 
Ohio Department 
of Job and Family 
Services 
Individual Wages 
and Employers 
Employer 
Information 
Unemployment 
Insurance Benefits 
Workforce 
Investment Act 
Ohio Board of 
Regents 
Ohio Public Higher 
Education 
Student 
Faculty 
Ohio Technical 
Centers 
(formerly AWE) 
Adult Basic and 
Literacy Education 
Ohio Department 
of Education 
Education 
Management 
Information 
System (EMIS) 
Student 
Staff 
District 
Course
HEI includes information from all Ohio public 
colleges and universities. 
Graduates from private colleges in Ohio are not 
captured. 
9 
HIGHER EDUCATION DATA
All wages reported to Ohio Department of Job 
and Family Services (ODJFS) for 
unemployment insurance purposes 
Wage data excludes the following: 
Wages from federal employers 
 Earnings from self-employment 
Wages from employment outside the state of Ohio 
10 
WAGE DATA
Data Information Knowledge Wisdom 
11 
CHALLENGES OF “BIG DATA” 
How do we organize data to create 
meaningful information and knowledge? 
R.L. Ackoff, “From Data to Wisdom,” J. Applied Systems Analysis, vol. 16, 1989, pp. 3-9
Most effectively used by “data journalists” 
New York Times excels 
Map of Baseball Fans 
Free tools available 
Google Fusion Tables, Many Eyes, Tableau Public 
12 
DATA VISUALIZATION
13 
FIRST ATTEMPT
14 
FIRST ATTEMPT
15 
FIRST ATTEMPT
16 
QUESTIONS SO FAR?
http://tinyurl.com/mv7whjq 
17 
SIX YEAR OUTCOME VISUALIZATION
QUESTIONS? 
harlow.19@osu.edu 
connect@oerc.osu.edu |oerc.osu.edu

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Using Visualization to Turn Data into Knowledge

  • 1. USING VISUALIZATION TO TURN DATA INTO KNOWLEDGE: OUTCOMES OF HIGHER EDUCATION IN OHIO Kr istin Har low, Research Associate Center for Human Resource Research U s i n g D a t a t o I n f o rm P o l i c y , P r a c t i c e , a n d T e a c h e r S u c c e s s I C o l umb u s , O H I O c t o b e r 1 , 2 0 1 4
  • 2. AGENDA 1. Ohio Longitudinal Data Archive 2. Higher Education and Wage Data 3. Data Visualizations 4. Visualization of Higher Education Outcomes
  • 3. OHIO LONGITUDINAL DATA ARCHIVE Ohio Longitudinal Data Archive (OLDA) Ohio Education Research Center (OERC) Center for Human Resource Research (CHRR) Researchers State Agents Public Stakeholders 3
  • 4. 4 OHIO LONGITUDINAL DATA ARCHIVE OLDA Ohio Department of Job and Family Services Individual Wages and Employers Employer Information Unemployment Insurance Benefits Workforce Investment Act Ohio Board of Regents Ohio Public Higher Education Student Faculty Ohio Technical Centers (formerly AWE) Adult Basic and Literacy Education Ohio Department of Education Education Management Information System (EMIS) Student Staff District Course
  • 5. 5 ADMINISTRATIVE DATA Benefits: Population data No cost of data collection Access to detailed measures without burden to respondents Concerns: Not collected for research purposes Quality
  • 6. Center for Human Resource Research makes OLDA link-able Create Pseudo-ID Archive data by unique Pseudo-ID 6 LINK DATA FROM DIFFERENT SOURCES
  • 7. How much do graduates of Ohio’s higher education institutions earn in the workplace? Does the type of degree impact graduates’ earnings? 7 POLICY QUESTIONS
  • 8. 8 OLDA CAN ANSWER THESE QUESTIONS OLDA Ohio Department of Job and Family Services Individual Wages and Employers Employer Information Unemployment Insurance Benefits Workforce Investment Act Ohio Board of Regents Ohio Public Higher Education Student Faculty Ohio Technical Centers (formerly AWE) Adult Basic and Literacy Education Ohio Department of Education Education Management Information System (EMIS) Student Staff District Course
  • 9. HEI includes information from all Ohio public colleges and universities. Graduates from private colleges in Ohio are not captured. 9 HIGHER EDUCATION DATA
  • 10. All wages reported to Ohio Department of Job and Family Services (ODJFS) for unemployment insurance purposes Wage data excludes the following: Wages from federal employers  Earnings from self-employment Wages from employment outside the state of Ohio 10 WAGE DATA
  • 11. Data Information Knowledge Wisdom 11 CHALLENGES OF “BIG DATA” How do we organize data to create meaningful information and knowledge? R.L. Ackoff, “From Data to Wisdom,” J. Applied Systems Analysis, vol. 16, 1989, pp. 3-9
  • 12. Most effectively used by “data journalists” New York Times excels Map of Baseball Fans Free tools available Google Fusion Tables, Many Eyes, Tableau Public 12 DATA VISUALIZATION
  • 17. http://tinyurl.com/mv7whjq 17 SIX YEAR OUTCOME VISUALIZATION

Notes de l'éditeur

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  2. - Super awesome technology staff Flip back to OLDA slide to show which data can be linked, which cannot