Guidelines on data reusability for eQuATIC · Higher Education Statistics Agency Hogeschool Gent Howest University College West Flanders ... Erasmus+ participant report, own student

Guidelines on data reusability for eQuATIC

eQuATIC Conference – 08/12/2016Paul Leys – Ghent University

Outline of the presentation

• Digging through the data

• Data reusability

• Data for eQuATIC

Digging through the data Data reusability Data for eQuATIC


• Quantitative analysis: percentage of mobile master graduates

0 10 20 30 40 50 60 70 80 90 100

Political and Social Sciences

Pharmaceutical Sciences

Bioscience Engineering

Psychology and Educational Sciences

Veterinary Medicine

Economics and Business Administration

Engineering and Architecture

Medicine and Health Sciences

Sciences

Law

Arts and Philosophy

Ghent University

Credit mobility

Mobility joint masters

• Quantitative analysis: number of exchange students

0

250

500

750

1000

1250

1500

10-11 11-12 12-13 13-14 14-15 15-16

Incoming students

Outgoing students


• Quantitative analysis: international students

0

20

40

60

80

100

120

140

160

180

Exchange

Degree

Phd


• Participation on agreements student mobility

0

10

20

30

40

50

60

70

80

90

100

% Outgoing

% Incoming

% Total


• Quantitative analysis: exchange balance

0

100

200

300

400

500

600

Outgoing students

Incoming students


Country Average credits/day*Average

study success**Reference group

Denmark 0,17 94% 12

Germany 0,15 78,18% 100

Finland 0,15 70,7% 34

France 0,17 74,11% 81

Italy 0,15 58,82% 174

Lithuania 0,16 87,85% 39

Norway 0,16 73,5% 6

Austria 0,16 65,83% 11

Poland 0,16 77,45% 117

Portugal 0,18 71,14% 50

Spain 0,16 78,91% 354

*30 credits/sem =+/- 0,2 credits/day

**UGent average = 80%Exchange average = 70%

• Qualitative analysis: Study success


• Qualitative analysis: Erasmus Student Survey

0% 10% 20% 30% 40% 50% 60% 70% 80% 90% 100%

How satisfied are you with your Erasmus+mobility experience in general?

How satisfied were you with the support provided by your sending institution

Strongly agree Rather agree Neither disagree nor agree

Rather disagree Stronly disagree


• Qualitative analysis: Internal Quality Assessment Survey


0% 10% 20% 30% 40% 50% 60% 70% 80% 90% 100%

How satisfied were you with the support provided by yoursending institution?: Support from student

initiatives/organisations

How satisfied were you with the support provided by yoursending institution?: Academic mentoring

How satisfied were you with the support provided by yoursending institution?: Administrative support arrangement

How satisfied were you with the support arrangements provided by your receiving institution

Strongly agree Rather agree Neither disagree nor agree Rather disagree Stronly disagree

Data reusability

• Registering doesn’t imply data is useable



Data reusability

• Registering doesn’t imply data is useable

• Data cleaning often required

• Need for definitions/standards

• Incentive for registration

• Structural modification in data repositories


Standardisation of institutions

AHOVOSArtesis Plantijn Hogeschool AntwerpenArteveldehogeschoolDep O&VErasmus University RotterdamErasmushogeschool BrusselFlanders Knowledge AreaFreie Universität BerlinGerman Rectors' Conference (HRK)Georg-August-Universität GöttingenGhent UniversityHelsinki Metropolia University of Applied SciencesHigher Education Statistics AgencyHogeschool GentHowest University College West FlandersHowest, de hogeschool West-Vlaanderen

Karel de Grote University CollegeMetropolia University of Applied SciencesNational Research University Higher School of EconomicsNHTV Breda University of Applied SciencesOdisee vzwRadboud UniversityRotterdam University of Applied SciencesSP-aThomas MoreUC LeuvenUC Leuven Limburg vzwUC Leuven-LimburgUCLLUniversidade do MinhoUniversiteit AntwerpenUniversiteit Gent

Universiteit HasseltUniversity College (HoGent)University of Central LancashireUniversity of CyprusUniversity of GroningenUniversity of KentUniversity of LiègeUniversity of MinhoUniversity of PrimorskaUppsala UniversityVrije Universiteit BrusselWindesheim University of Applied Sciences



• Erasmuscode: less or more stable - only Erasmus-countries high availability

• PIC: less stable than Erasmuscode – also non-Erasmus availability?

• Name instiution: not stable at all high availability


eQuATIC

available comparable easy to readdata scores information


Data behind indicators

• Performance of incoming/outgoing students

• Data on student mobility: institution; start & end date; ISCED

• Data on credits: #credits taken; #credits successfully completed

Sources: SIS, mobility software, other(?)

• Support and facilities

• Student satisfaction on support arrangements and facilities

Source: Erasmus+ participant report, own student survey (non-Erasmus)



• Academic quality

• Student satisfaction on teaching and learning


• Rankings

• Ranking in ARWU, THE, QS

Yearly uploaded by super admin

• Course catalogue information

• Student feedback on completeness course catalogue




• Exchange of mobility documents

• Student feedback on signing learning agreement and receiving transcript of records on time

• Availability of grading table in Egracons


Grading tables yearly updated by superadmin

• Mobility rate

• Data on mobility (student & staff): institution; start & end date; ISCED




• Involvement

• Data on institutional agreements: institution, ISCED

Source: SIS, mobility software

• Mobility rate

• Data on mobility (student & staff): institution; start & end date; ISCED




• Educational collaboration

• Data on projects funded by Educational budgets (e.g. Erasmus+)

• Data on joint programmes + graduates


• Research collaboration

• Data on projects funded by Research budgets (e.g. Horizon 2020)

• Data on joint-PhD’s

• Data on joint publications

Sources: SIS, mobility software, research database


Data uploads


Field of education

• Optional in all uploads

• Crucial for analysis at ‘faculty/department/programme level’

• ISCED2013 (data dictionary mobility tool)


Data templates

• Reuse existing templates

• Participant report Erasmus+

• Reporting template Erasmus+ (+ credit information)

• Consistency in naming

• All column headers should be present

• Only relevant information

• One upload different for indicators (if all information is available)


Data templates


https://drive.google.com/drive/folders/0B-RBEwvo0Ji8N3d2THdTZ1FKc1E?usp=sharing

https://drive.google.com/drive/folders/0B-RBEwvo0Ji8N3d2THdTZ1FKc1E?usp=sharing

Data templates

• Field name schould exactly match

• Mandatory if * field is mandatory

• Possible value expected format (not for all columns)

• Data definition explanation

• Indicator indicators that use data upload


Preparing data sets

• What if certain data is lacking?

• Data cleaning required

• Test with limited data set



• If institution is not in eQuATIC database: “institution not found” notification

• Should be added by ‘super admin’

Data should be linked to correct institution (internal consistency)

Analysis over institutions: need to capture the right institution (externel consistency)

Some indicators based on general data upload


Contact

Paul Leys

Project leader eQuATIC - [email protected]


mailto:[email protected]

Documents

Guidelines on data reusability for eQuATIC · Higher Education Statistics Agency Hogeschool Gent Howest University College West Flanders ... Erasmus+ participant report, own student