Research Infrastructure for Collaborative Team Science: Challenges in Technology-Supported Workflows in and Across Laboratories, Institutions, and Geographies

Seminars in Nephrology

Volumn 35, Issue 3, 2015, Pages 291-302

  Mirel, Barbara ^a   Luo, Airong ^b   Harris, Marcelline ^a  

^a UNIVERSITY OF MICHIGAN   (United States)

^b UNIVERSITY OF MICHIGAN MEDICAL SCHOOL   (United States)

Author keywords

Bioinformatics; Interdisciplinary research; Research capability model; Systems biology; Technological innovation; Transciplinary research

Indexed keywords

ACCESS TO INFORMATION; BIOINFORMATICS; GEOGRAPHY; HEALTH CARE ORGANIZATION; HUMAN; INFORMATION PROCESSING; INFORMATION SCIENCE; INFORMATION STORAGE; INFORMATION TECHNOLOGY; KIDNEY DISEASE; PRIORITY JOURNAL; PROBLEM SOLVING; REVIEW; SCIENTIST; SUPPORT GROUP; TEAMWORK; WORKFLOW; BIOLOGY; GENOMICS; INTERDISCIPLINARY COMMUNICATION; MEDICAL RESEARCH; NEPHROLOGY; PROCEDURES;

BIOMEDICAL RESEARCH; COMPUTATIONAL BIOLOGY; GENOMICS; HUMANS; INTERDISCIPLINARY COMMUNICATION; NEPHROLOGY;

EID: 84937971800     PISSN: 02709295     EISSN: 15584488     Source Type: Journal    
DOI: 10.1016/j.semnephrol.2015.04.009     Document Type: Review

References (35)

1. Börner K., Contractor N., Falk-Krzesinski H., Fiore S., Hall K., Keyton J., et al. A multi-level systems perspective for the science of team science. Sci Transl Med 2010, 2:1-5.
2. Lee E.S., McDonald D., Anderson N., Tarczy-Hornoch P. Incorporating collaboratory concepts into informatics in support of translational interdisciplinary biomedical research. Int J Med Inform 2009, 78:10-21.
3. Falk-Krzesinski H., Contractor N., Fiore S., Hall K., Kane C., Keyton J., et al. Mapping a research agenda for the science of team science. Res Eval 2011, 20:145-158.
4. Chin G., Leung R., Schuchardt K., Garcio D. New paradigms in problem solving environments for scientific computing. Proceedings of the 7th International Conference on Intelligent User Interfaces 2002, 39-46. ACM, New York.
5. Cartilage A., Rudd C., Smith M., Wigzell P., Rance S., Shaw S. An introductory overview of ITIL® 2011 2011, itSMF, Norwich, UK.
6. Pipek V., Wulf V. Infrastructuring: toward an integrated perspective on the design and use of information technology. J Assoc Inform Syst 2009, 10:447-473.
7. University/Software Engineering Institute 2010, CMMI Product Team. CMMI® for services, version 1.3: improving processes for providing better services. Technical Report CMU/SEI-2010-TR-034, Carnegie Mellon, Pittsburgh.
8. Lyon L, Ball A, Duke M, Day M. Community capability model framework for data-intensive research. White paper 2012. [cited 2015 March 8]. Available from: . http://communitymodel.sharepoint.com/Documents/CCMDIRWhitePaper-v1-0.pdf.
9. Buckow K., Quade M., Rienhoff O., Nussbeck S. Changing requirements and resulting needs for IT-infrastructure for longitudinal research in the neurosciences. Neurosci Res 2014, In press.
10. Bozeman B., Boardman C. Research collaboration and team science: a state of the art review and agenda 2014, Springer, Berlin, In press.
11. Crowston K., Qin J. A capability maturity model for scientific data management: evidence from the literature. Proc Am Soc Inform Sci Technol 2011, 48:1-9.
12. Lochmuller H. Infrastructural requirements for rare disease within IRDiRC. 2014. [cited 2014 March 7]. Available from: . http://www.rare-diseases.eu/wp-content/uploads/2014/05/0302_Hanns_LOCHM%C3%9CLLER.pdf.
13. Payne P., Embi P., Se C. Translational informatics: enabling high-throughput research paradigms. Physiol Genomics 2009, 39:131-140.
14. Pratt W., Reddy M., McDonald D.C., Tarczy-Hornoch P., Gennari J. Incorporating ideas from computer-supported cooperative work. J Biomed Inform 2004, 37:128-137.
15. Ribes D. Ethnography of scaling: or, how to fit a national research infrastructure in the room. Computer Supported Cooperative Work (CSCW'14) 2014, 158-170. ACM, New York.
16. Ribes D., Finholt T. The long now of technology infrastructure: articulating tensions in development. J Assoc Inform Syst 2009, 10:375-398.
17. Silsand L., Ellingsen G. Generification by translation: designing generic systems in context of the local. J Assoc Inform Syst 2014, 15:177-196.
18. Ure J., Procter R., Lin Y., Hartswood M., Anderson S., Lloyd S., et al. The development of data infrastructures for eHealth: a socio-technical perspective. J Assoc Inform Syst 2009, 10:415-429.
19. Vertesi J. Seamful spaces: heterogeneous infrastructures in interaction. Sci Technol Hum Values 2014, 39:264-284.
20. Vogel A., Stipelman B., Hall K.L., Nebeling L., Stokols D., Spruijt-Metz D. Pioneering the transdisciplinary team science approach: lessons learned from National Cancer Institute grantees. J Transl Med Epidemiol 2014, 2:1027-1039.
21. Olson J.S., Hofer E., Bos N., Zimmerman A., Olson G.M., Cooney D., et al. Theory of remote scientific collaboration (TORSC). Science on the internet. Cambridge, MA 2008, MIT Press. G. Olson, A. Zimmerman, N. Bos (Eds.).
22. Mirel B., Görg C. Scientists' sense making when hypothesizing about disease mechanisms from expression data and their needs for visualization support. BMC Bioinformatics 2014, 15:117.
23. Mirel B., Eichinger F., Keller B.J., Kretzler M.A. Cognitive task analysis of a visual analytic workflow: exploring molecular interaction networks in systems biology. J Biomed Discov Collab 2011, 6:1-33.
24. Mirel B. Supporting cognition in systems biology analysis: findings on users' processes and design implications. J Biomed Discov Collab 2009, 4:2.
25. Mirel B. Interaction design for complex problem solving: developing useful and usable software 2004, Elsevier, San Francisco.
26. Harris M.R., Langford L., Miller H., Hook M., Dykes P., Matneyh S. Harmonizing and extending standards from a domain-specific and bottom-up approach: an example from development through use in clinical applications. J Am Med Inform Assoc 2015, 22:545-552.
27. Luo A., Zheng K., Bhavnani S., Warden M. Institutional infrastructure to support translational research. Proceedings of the 2010 IEEE Sixth International Conference on e-Science 2010, IEEE Computer Society, Washington, DC.
28. Sampson M., Hodgin J., Kretzler M. Defining nephrotic syndrome from an integrative genomics perspective. Pediatr Nephrol 2015, 30:51-63.
29. Keller B.J., Martini S., Sedor J.R., Kretzler M. A systems view of genetics in chronic kidney disease. Kidney Int 2012, 81:14-21.
30. Barisoni L., Nast V., Jennette C., Hodgin J., Herzanberg A., Lemley K., et al. Digital pathology evaluation in the multicenter Nephrotic Syndrome Study Network (NEPTUNE). Clin J Am Soc Nephrol 2013, 8:1449-1459.
31. Bai Y., Cavalcoli J. SNPAAMapper: an efficient genome-wide SNP variant analysis pip3line for next-generation sequencing data. Bioinformation 2013, 9:870-872.
32. Greenberg J. Metadata and digital information. Encyclopedia of library and information science 2010, Marcel Dekker, Inc;, New York. M. Bates, M. Maack, M. Drake (Eds.).
33. Gehlenborg N., O'Donoghue S., Baliga N., Goesmann A., Hibbs M., Kitano H., et al. Bisualization of omics data for systems biology. Nat Methods 2010, 7:S56-68:7.
34. Hansen C., Johnson C.R., Pascucci V., Silva C. Visualization for data-intensive science. The fourth paradigm: data-intensive scientific discovery 2009, 153-163. Microsoft, Redmond, WA. T. Hey, S. Tansley, K. Tolle (Eds.).
35. Chakraborty S., Sarker S., Sarker S. An exploration into the process of requirements elicitation: a grounded approach. Assoc Information Syst J 2010, 11:212-249.