This document discusses business intelligence and institutional research. It defines business intelligence as using data to support evidence-based decision making. Institutional research involves measuring, comparing and setting priorities to help institutions assess what they are doing and how to improve. The document also discusses using a university's library and institutional repository as data sources and ensuring data quality and definitions are clear.

1. Business
Intelligence
~
Bibliotheek

2. BUSINESS INTELLIGENCE

3. Definition: JISC
“Evidence-based decision-making and the
processes that gather, present, and use that
evidence base. It can extend from providing
evidence to support potential students’ decisions
whether or not to apply for a course, through
evidence to support individual faculty and staff
members, teams and departments, to evidence
to support strategic decisions for the whole
organisation.”
JISC:http://www.jiscinfonet.ac.uk/infokits/busin
ess-intelligence/

4. Professor Ian Diamond, Efficiency and
effectiveness in Higher Education Report
(2011)
“Supporting management decisions:
Good and relevant data will facilitate a
better understanding of where savings
can be made, allow an assessment of
how much can be or has been saved
from efficiency initiatives (for example
through baselining costs), and support
the development of benchmarks.”

5. Wikipedia
 Business intelligence (BI) is a set of
theories, methodologies, processes,
architectures, and technologies that
transform raw data into meaningful and
useful information for business purposes.
BI can handle large amounts of information to
help identify and develop new opportunities.
Making use of new opportunities and
implementing an effective strategy can
provide a competitive market advantage and
long-term stability.

6. IR

7. INSTITUTIONAL
RESEARCH

8. xxxxx
 xx
 xx
 xx
 xx
 xx
http://www.airweb.org

9. “Are we doing things the right
way?”
“Are we doing the right things?”
Chamber & Gerek, “IR activities” in “IR applications”, V12, Feb. 26, 2007:
http://files.eric.ed.gov/fulltext/ED504324.pdf

10. Doel
 Meten
 Inzicht
 Vergelijken
 Prioriteiten
 Relaties
 context
 …
En dat op de verschillende niveaus

11. Criteria
 Adequaat
 Domeinoverschrijdend
 Tijdsvenster
 Betrouwbaar
 Benchmark
 Gebruiksvriendelijk

12. Rapportering
 Wie?
 Wanneer?
 Wat?

13. Uitdagingen
 Definities
 Specifieke databanken
 Data kwaliteit
 Data uitwisseling
 Efficiënt rapporteren

14. Vb. author ID
 Streng bewaken van ID’s
 ORCID

15. CHANGE MANAGEMENT

16. Mensen
Kennen zij hun rol? Wat de impact
is van hun handeling?
-> training

17. Data
Goed gedefinieerd?
Enige bron van info?
Kwaliteitscontrole?

18. De bib

19. IR

20. INSTITUTIONAL
REPOSITORY
Academische bibliografie

21. Biblio
= databron
Met kwaliteitscontrole

23. Meten
 Vabb
 BOF
 UGent
 World rankings

24. Biblio integreren
 Data dump:
 Json, comma separated
 Export:
 Json, Yaml, BibTeX, RIS, CSV, excel, RDF,
MODS, DC, METS, DIDL, txt, word
 Metadata:
 Mods, DC, Cerif
 API
 Protocol REST, format Json
 unAPI discovery, OAI harvesting, SRU search

25. Linken
 Met projecten
 Met onderzoeksgroepen
 Met onderwerpen
 Met interuniversitaire
samenwerking
 ….

29. Openstellen voor
 Openaire
 Fris
 Iminds
 ….

30. Grenzen Biblio
 Welke vraag lossen we op in biblio
en welke niet?

31. Interactie
 Wat zijn de noden?

35. Inge Van Nieuwerburgh
Universiteitsbibliotheek Gent