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Towards a more data oriented medical
research environment
-
Survey Results on information and data practice
ISI2015 | 19-2...
Christoph Szepanski ISI2015 | 19-21 May | Zadar
Project context
Aim of the Survey
Method
Results
Conclusion
Implementation...
Christoph Szepanski ISI2015 | 19-21 May | Zadar
Project context I
Method Results Conclusion ClosingIntroduction
3
Preferre...
Christoph Szepanski ISI2015 | 19-21 May | Zadar
Project context II
Method Results Conclusion ClosingIntroduction
4
Preferr...
Christoph Szepanski ISI2015 | 19-21 May | Zadar
Aim of the survey
5
Aim Results Conclusion ClosingIntroduction
 How medic...
Christoph Szepanski ISI2015 | 19-21 May | Zadar
Method I
6
Method Results Conclusion ClosingIntroduction
 Survey guidelin...
Christoph Szepanski ISI2015 | 19-21 May | Zadar
Method II
7
Method Results Conclusion ClosingIntroduction
 Mixed method a...
Christoph Szepanski ISI2015 | 19-21 May | Zadar
Method III
8
Method Results Conclusion ClosingIntroduction
 Premiss: rese...
Christoph Szepanski ISI2015 | 19-21 May | Zadar
Results I – Reasons I
Method Results Conclusion ClosingIntroduction
9
Christoph Szepanski ISI2015 | 19-21 May | Zadar
Reasons II
Method Results Conclusion ClosingIntroduction

Persuing an (ow...
Christoph Szepanski ISI2015 | 19-21 May | Zadar
Data selection
Method Results Conclusion ClosingIntroduction

Data centre...
Christoph Szepanski ISI2015 | 19-21 May | Zadar
External Resources
Method Results Conclusion ClosingIntroduction

PubMed ...
Christoph Szepanski ISI2015 | 19-21 May | Zadar
Displaying data
Method Results Conclusion ClosingIntroduction

Diagrams a...
Christoph Szepanski ISI2015 | 19-21 May | Zadar
Summary
Method Results Conclusion ClosingIntroduction
Preferred

Reason f...
Christoph Szepanski ISI2015 | 19-21 May | Zadar
Conclusion
Method ResultsResults ClosingIntroduction Conclusion
Integratio...
Christoph Szepanski ISI2015 | 19-21 May | Zadar
DCT-Portal (Prototype)
Method ResultsConclusion ClosingIntroduction Conclu...
Christoph Szepanski ISI2015 | 19-21 May | Zadar
QueryBuilder
Method ResultsConclusion ClosingIntroduction ConclusionMethod...
Christoph Szepanski ISI2015 | 19-21 May | Zadar
ResearchFieldExplorer
Method ResultsConclusion ClosingIntroduction Conclus...
Christoph Szepanski ISI2015 | 19-21 May | Zadar
• Bell, G, T. Hey, and A. Szalay (2009). Computer Science: Beyond the Data...
Christoph Szepanski ISI2015 | 19-21 May | Zadar
• Hoover, Steven M, and John F. Feldhusen (1994). Scientific Problem Solvi...
Christoph Szepanski ISI2015 | 19-21 May | Zadar
Thank you for your attention!
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DataCreativityTools for Innovation and Re...
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Towards a more data oriented medical reseach environment - Survey Results

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Presentation about the data and information pracitice of medical researchers by Christoph Szepanski for the ISI2015 (Zadar, Croatia).

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Towards a more data oriented medical reseach environment - Survey Results

  1. 1. Towards a more data oriented medical research environment - Survey Results on information and data practice ISI2015 | 19-21 May | Zadar Lars Mueller Christoph Szepanski Thomas Wetzel Hans-Cristoph Hobohm
  2. 2. Christoph Szepanski ISI2015 | 19-21 May | Zadar Project context Aim of the Survey Method Results Conclusion Implementation details References Agenda Method Results Conclusion ClosingIntroduction 2
  3. 3. Christoph Szepanski ISI2015 | 19-21 May | Zadar Project context I Method Results Conclusion ClosingIntroduction 3 Preferred Project objective = development of a web application  Foster hypothesis generation from large (heterogenous) databases of medical research data  Design an information environment to support data analysis and identification of relevant knowledge gaps  Project partner: OpEn.SC Charité Berlin
  4. 4. Christoph Szepanski ISI2015 | 19-21 May | Zadar Project context II Method Results Conclusion ClosingIntroduction 4 Preferred Data-intensive science will be an important element of future research (Bell et al. 2009)  Currently there is a priority to hypothesis-oriented research  Cultural chance how to use data for hypothesis generation can be technically supported (Thessen and Patterson 2011)
  5. 5. Christoph Szepanski ISI2015 | 19-21 May | Zadar Aim of the survey 5 Aim Results Conclusion ClosingIntroduction  How medical professionals deal with “their” data in practice  At which points in the problem finding process modified forms of data presentation help researching physicians to make better use of their creative potential
  6. 6. Christoph Szepanski ISI2015 | 19-21 May | Zadar Method I 6 Method Results Conclusion ClosingIntroduction  Survey guidelines designed to ascertain...  information and communication behaviour  Cooperation  Research data handling  Creativity and problem solving skills
  7. 7. Christoph Szepanski ISI2015 | 19-21 May | Zadar Method II 7 Method Results Conclusion ClosingIntroduction  Mixed method approach  Explorative, guideline-based individual interviews:  (n = 5 ; duration: 30 minutes ; partly transcribed)  Online survey:  (n = 10, including clinical physicians and non-physicians => core target group)
  8. 8. Christoph Szepanski ISI2015 | 19-21 May | Zadar Method III 8 Method Results Conclusion ClosingIntroduction  Premiss: research process begins with data analysis and ends with a new research project  Any differences and similarities between this model and practice would indicate possible starting points and areas for intervention in the research process
  9. 9. Christoph Szepanski ISI2015 | 19-21 May | Zadar Results I – Reasons I Method Results Conclusion ClosingIntroduction 9
  10. 10. Christoph Szepanski ISI2015 | 19-21 May | Zadar Reasons II Method Results Conclusion ClosingIntroduction  Persuing an (own) idea RAREOFTEN  Exploration of data (unfocussed interest)  Sometimes – Inspiration from literature  Motivation – persuing ideas, rather than find new one 10
  11. 11. Christoph Szepanski ISI2015 | 19-21 May | Zadar Data selection Method Results Conclusion ClosingIntroduction  Data centres  Targeted collection of new data RAREFREQUENTLY  Directly re-use from colleagues  Existing patient data  A bit of both – Journals  Potential lies in the improved integration of data from different sources 11
  12. 12. Christoph Szepanski ISI2015 | 19-21 May | Zadar External Resources Method Results Conclusion ClosingIntroduction  PubMed and journals  Unspecified internet usage (Google...) RAREFREQUENTLY  gScholar  Sometimes – Reference tools and interpersonal communication  Goal of DCT should be to integrate as many secondary information sources as possible 12
  13. 13. Christoph Szepanski ISI2015 | 19-21 May | Zadar Displaying data Method Results Conclusion ClosingIntroduction  Diagrams and curves  Table with numerical values NeglectedPreferred  Partly: complex visualisations  Potential lies in new visualisation techniques, also to promote awareness and to increase acceptance 13
  14. 14. Christoph Szepanski ISI2015 | 19-21 May | Zadar Summary Method Results Conclusion ClosingIntroduction Preferred  Reason for data analysis is usually an (own) idea, while searching for an idea is almost never the reason Preferred Attitudes towards complex visualisations are mixed Preferred Individual working methods are preferred  Data analysis usually take place in the workplace and towards the end of the working day  Results of data analysis primarily used in publications and less so for research 14
  15. 15. Christoph Szepanski ISI2015 | 19-21 May | Zadar Conclusion Method ResultsResults ClosingIntroduction Conclusion Integration of secondary information sources Close ties with external data centres Innovative visualisations as an option No social media needed 15
  16. 16. Christoph Szepanski ISI2015 | 19-21 May | Zadar DCT-Portal (Prototype) Method ResultsConclusion ClosingIntroduction ConclusionMethod ResultsConclusion ClosingIntroduction Conclusion 16
  17. 17. Christoph Szepanski ISI2015 | 19-21 May | Zadar QueryBuilder Method ResultsConclusion ClosingIntroduction ConclusionMethod ResultsResults ClosingIntroduction Conclusion 17
  18. 18. Christoph Szepanski ISI2015 | 19-21 May | Zadar ResearchFieldExplorer Method ResultsConclusion ClosingIntroduction ConclusionMethod ResultsResults ClosingIntroduction Conclusion 18
  19. 19. Christoph Szepanski ISI2015 | 19-21 May | Zadar • Bell, G, T. Hey, and A. Szalay (2009). Computer Science: Beyond the Data Deluge. Science 323, 1297-1298. • Case, Donald O. (2005).Principle of Least Effort. In Fisher, Karen E.; Erdelez, Sandra; McKechnie, Lynne (Eds.): Theories of Information Behavior. Cambridge, Mass. : MIT Press, 289-292. • Cooke, Colin R, and Theodore J. Iwashyna (2013). Using Existing Data to Address Important Clinical Questions in Critical Care. Critical Care Medicine 41, 886- 896. • Cropley, Arthur, and David Cropley (2009). Fostering creativity. A diagnostic approach for higher education and organizations. Cresskill, NJ: Hampton Press. • Kell, Douglas B, and Stephen G. Oliver (2004). Here is the evidence, now what is the hypothesis? The complementary roles of inductive and hypothesis-driven science in the post-genomic era. In BioEssays 26, 99-105. References I Method ResultsConclusion ClosingIntroduction ConclusionMethod ResultsResults ReferencesIntroduction Conclusion 19
  20. 20. Christoph Szepanski ISI2015 | 19-21 May | Zadar • Hoover, Steven M, and John F. Feldhusen (1994). Scientific Problem Solving and Problem Finding:  A Theoretical Model. In Problembfinding, problem solving, and  creativity. Creativity research, ed. by Mark A. Runco, Norwood N.J: Ablex Pub. Corp., 201-219. • Huizing, Ard, and Mary Cavanagh (2011). Planting contemporary practice theory in the garden of information science. In Information Research 16 (4). • Tenopir, Carol; Allard, Suzie; Douglass, Kimberly; Aydinoglu, Arsev U.; Wu, Lei; Read, Eleanor; Maribeth Manoff, Mike Frame and Cameron Neylon (2011). Data Sharing by Scientists: Practices and Perceptions. In PLoS ONE 6, E21101. • Thessen, Anne, and David Patterson (2011). Data issues in the life sciences. ZooKeys 150, 15. References II Method ResultsConclusion ClosingIntroduction ConclusionMethod ResultsResults ReferencesIntroduction Conclusion 20
  21. 21. Christoph Szepanski ISI2015 | 19-21 May | Zadar Thank you for your attention! 21 DataCreativityTools for Innovation and Research (DCT) http://datacreativity.fh-potsdam.de

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