The story of making a research project service (as a part of a coming CRIS), and our efforts to find incentives to get and keep the data update and why we choosed in house development

1. research.chalmers.se
The aim to break the circle of despair
Kristin Olofsson
Chalmers University of Technology

2. Rolf Henrik Mikael Urban Kristin
An (extra) ordinary
research.chalmers.se-team

3. Make a research information
system!
(projects first)

4. ???

5. What showed up in our minds?
Pure at Aarhus university

6. Another picture
Converis at Åbo Akademi University

7. Another
(Part of) our data modell

8. My picture
Moritz Stefaner. Truth and beauty operations

9. Wise or ignorant?
executive group

10. ” Teams [..] must be
empowered to design the
solution to the business
problems they are tasked
Jeff Gothelf

11. Dr Rachel Curwen, Univ of York
Univ. of York
Implementing
Pure – a case
study
@IFFIS14, Stockholm, Sweden

12. © Rachel Curwen

13. CRIS
Current Research Information System
● Research output (publications, patents…)
● Grants & Projects
● Persons research events & activitites
● Researcher CV
● ...

14. Step 1:
a service that handles grant
funded research projects

15. It doesn’t matter which system
you choose, if you don’t have
caught the incentive to use it

16. 1. What service would
be valuable for
whom, and actually
being used?
2. How can we get the
data and keep it
updated?
Existential angst

17. That’s where UX comes in...

18. SCRUM + (Lean) UX

19. Value curve

20. Sketch!
On whiteboards,
together, visualize
everything.
Outstanding for
shared
understanding.

21. GOB!!
(Get out of the f*n building)

22. Effect / impact map

23. Academic
First question from everyone we
talked to...

24. ● Vice chancellor’s order
● Money
● Personal benefit and reuse in valuable
places
Possible incentives

25. There is one thing you need in
these systems, commercial or
self-build, to have any use for
them - that’s DATA.

26. 1. Local grants database
2. Cordis (EC)
3. Manual registration -
Library
4. (Big Swedish funding
agencies)
From where do we get the data?

27. Personal judgement needed

28. Launch 1

29. “If they say a service will solve
everything for everyone, it will
probably solve very little for very
few.
Me and a lot of other ppl

30. Academic
Will not update until personal
benefit. This is later, folks!
[Possible personal values]

31. research.chalmers.se

32. research.chalmers.se

33. research.chalmers.se

34. research.chalmers.se

35. 1. Systems, technique or
data modelling is not the
hard part. The tricky part
is to find incentives and
ways to keep the data
updated.
2. Libraries are good at data
modelling beyond
publications.
Lessons learned

36. 3. In house development
makes it possible to act
agile and to quickly adapt
to your organisation’s
needs.
Lessons learned

37. The answer?

38. Be sure that someone has
incentives to update the data or
do it yourself!

39. kristin.olofsson@chalmers.se
@krolofsson