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Postsecondary and K-12 Data Sharing Results from SHEEO’s State of State Postsecondary Data Systems Study (and more). Hans Peter L’Orange State Higher Education Executive Officers. General Background. Starting assumption: state level data systems Monitor progress Assess effectiveness
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Postsecondary and K-12 Data SharingResults from SHEEO’s State of State Postsecondary Data Systems Study(and more) Hans Peter L’Orange State Higher Education Executive Officers
General Background • Starting assumption: state level data systems • Monitor progress • Assess effectiveness • All with ultimate goal of improved student achievement • Examine and describe key characteristics of state postsecondary data systems • Report designed to inform states and enhance policy
Not Apples to Apples State postsecondary SUR data systems may be found within: • state boards of higher education (coordinating and governing boards) • state boards of education • state financial aid agencies/entities • state budget agencies, and • state labor/workforce agencies
Study Included 59 SURs in 45 States 1 SUR 2 SURs 3 SURs 4 SURs
Types of Data Collected by # of SURs 58 58 54 46 44 45 43 37 37 29 24 17
Existing links to K-12 and Labor K-12 Labor Both
Matching between PS & K-12 • Of those in states with linkages: • Almost half (42%) use both the Social Security Number and a K-12 ID for matching • Almost all (92%) use an ID in conjunction with demographic elements such as name, date of birth, and gender • Just under a third (27%) use SSN as the only ID in conjunction with demographic elements
Visit http://www.sheeo.org/sspds for • Full report • Profiles of each responding agency or entity • Data element tables Wednesday, 3:00 pm, Meeting Room 602
4 State Pilot Study • Gates funded, WICHE managed • WA, OR, ID, HI • Data from K-12, postsecondary and labor • “Where did they go and what did they do when they got there?” • Issues: • Legal (FERPA, state law, AG-approval) • Technical (share or align data?) • Different starting points and value for different states
Postsecondary Data Advisory Committee K-12 / PSE feedback • Lack of trust and personality conflicts are on-going challenges • Joint activity (e.g. P-20 data systems) can generate good will) • Find opportunities that have shared value for motivated individuals • Demonstrate how data can be used • Identify what you need to (jointly) get to where you need to go • Start small to demonstrate results • Data generated reports can actually challenge trust that has been created during the development process • Trust is built on data integrity and willingness to address other’s needs • Foster the SHEEO/CCSSO relationship in each state • Institutionalize relationships • Lack of resources especially time • Shared interest is critical