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Increasing of Data Security and Workflow Optimization in Information and Management System for Laboratory

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Bioinformatics and Biomedical Engineering (IWBBIO 2017)

Part of the book series: Lecture Notes in Computer Science ((LNBI,volume 10208))

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Abstract

In order to ensure the protection of biomedical data, it is necessary, due to their special characteristics, to approach them differently than the common data. In the biologic laboratory environment, it is possible to understand their protection as a part of consequential and interconnected measures which complement themselves. Even though there are some procedures and potentially there are also some available manuals for individual areas, it is not possible to realize them without consideration or mutual interconnection. The methods for an attack and for protection have been changing in the recent times. Therefore, it is necessary to periodically review and update the given set of measures. Even higher level of security can be reached by optimization of the workflow and by the usage of new technologies. If a more effective identification of persons and of their realized tasks is achieved in the system, it is possible to limit the leakage of sensitive information or dangerous material outside of the laboratory. Moreover, this also increases the effectiveness in generating research results.

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References

  1. Cagindi, O., Otles, S.: Importance of laboratory information management systems (LIMS) software for food processing factories. J. Food Eng. 65(4), 565–568 (2004). doi:10.1016/j.jfoodeng.2004.02.021. ISSN 0260-8774

    Article  Google Scholar 

  2. Blazek, P., Krenek, J., Kuca, K., Jun, D., Krejcar, O.: The system of instant access to the life biomedical data. In: Computational Intelligence and Informatics, pp. 261–265 (2014). doi:10.1109/CINTI.2014.7028686

  3. NRC. Prudent Practices in the Laboratory: Handling and Management of Chemical Hazards. Updated ed. National Academies Press, Washington (2011)

    Google Scholar 

  4. LIMSwiki. http://www.limswiki.org

  5. Quo, C.F., Wu, B., Wang, M.D.: Development of a laboratory information system for cancer collaboration projects. In: 27th Annual Conference on IEEE Engineering in Medicine and Biology (2005). doi:10.1109/IEMBS.2005.1617070

  6. Rabinovici-Cohen, S.: Biomedical information integration middleware for clinical genomics. In: Feldman, Yishai A., Kraft, D., Kuflik, T. (eds.) NGITS 2009. LNCS, vol. 5831, pp. 13–25. Springer, Heidelberg (2009). doi:10.1007/978-3-642-04941-5_4

    Chapter  Google Scholar 

  7. Kammergruber, R., Robold, S., Karliҫ, J., Durner, J.: The future of the laboratory information system – what are the requirements for a powerful system for a laboratory data management? Clin. Chem. Lab. Med. (CCLM) 52(11) (2014). doi:10.1515/cclm-2014-0276

  8. Prasad, P.J., Bodhe, G.L.: Trends in laboratory information management system. Chemom. Intell. Lab. Syst. 118, 187–192 (2012). doi:10.1016/j.chemolab.2012.07.001

    Article  Google Scholar 

  9. Hansen, M., Köhntopp, K., Pfitzmann, A.: The open source approach - opportunities and limitations with respect to security and privacy. Comput. Secur. 21(5), 461–471 (2002). doi:10.1016/S0167-4048(02)00516-3

    Article  Google Scholar 

  10. Ekins, S.: Computer Applications in Pharmaceutical Research and Development, pp. 57–61 Wiley (2006). ISBN 0-471-73779-8

    Google Scholar 

  11. Hu, Y.: Development of information management system used in laboratory. Advanced materials research. In: 27th Annual International Conference of the Engineering in Medicine and Biology Society, IEEE-EMBS 2005, Shangai, China, pp 2859-2862 (2005)

    Google Scholar 

  12. LABWARE Result Count. http://www.labware.com/

  13. Lab Collector. http://labcollector.com/

  14. Qi Analytica. LISA.lims, http://lisa.lims.cz/

  15. Megargle, R.: Laboratory information management-system. Anal. Chem. 61(9), 1104–1113 (1989). doi:10.1002/1615-9861(200209)2:9<1104::aid-prot1104>3.0.co;2-q

    Article  Google Scholar 

  16. Megargle, R.: A Report on the 3rd International Laboratory Information Management-Systems Conference, Held in Egham UK, 6–8 June 1989. Trac-Trends Anal. Chem. 8(10), 353–354 (1989). doi:10.1016/0165-9936(89)85070-8

  17. Gibbon, G.A.: Trends in laboratory information management-systems. Trac-Trends Anal. Chem. 3(2), 36–38 (1984). doi:10.1016/0165-9936(84)87049-1

    Article  Google Scholar 

  18. Grimes, S.M., Ji, H.P.: MendeLIMS: a web-based laboratory information management system for clinical genome sequencing. BMC Bioinform. 15 (2014). doi:10.1186/1471-2105-15-290

  19. McDowall, R.D.: The role of laboratory information management systems (LIMS) in analytical method validation. Anal. Chim. Acta 391(2), 149–158 (1999). doi:10.1016/s0003-2670(99)00107-5

    Article  MathSciNet  Google Scholar 

  20. McDowall, R.D.: A matrix for the development of a strategic laboratory information management-system. Anal. Chem. 65(20), A896–A901 (1993)

    Article  Google Scholar 

  21. McDowall, R.D., Mattes, D.C.: Architecture for a comprehensive laboratory information management-system. Anal. Chem. 62(20), A1069–A1076 (1990)

    Article  Google Scholar 

  22. Triplet, T., Butler, G.: The EnzymeTracker: an open-source laboratory information management system for sample tracking. BMC Bioinform. 13 (2012). doi:10.1186/1471-2105-15-290

  23. Morisawa, H., Hirota, M., Toda, T.: Development of an open source laboratory information management system for 2-D gel electrophoresis-based proteomics workflow. BMC Bioinform. 7 (2006). doi:10.1186/1471-2105-7-430

  24. Voegele, C., Tavtigian, S.V., De Silva, D., Cuber, S., Thomas, A., Le Calvez-Kelm, F.: A laboratory information management system (LIMS) for a high throughput genetic platform aimed at candidate gene mutation screening. Bioinformatics 23(18), 2504–2506 (2007). doi:10.1093/bioinformatics/btm365

    Article  Google Scholar 

  25. Cho, S.Y., Park, K.S., Shim, J.E., Kwon, M.S., et al.: An integrated proteome database for two-dimensional electrophoresis data analysis and laboratory information management system. Proteomics 2(9), 1104–1113 (2002). doi:10.1002/1615-9861(200209)2:9<1104::aid-prot1104>3.0.co;2-q

    Article  Google Scholar 

  26. Helsens, K., Colaert, N., Barsnes, H., Muth, T., et al.: Ms_lims, a simple yet powerful open source laboratory information management system for MS-driven proteomics. Proteomics 10(6), 1261–1264 (2010). doi:10.1002/pmic.200900409

    Article  Google Scholar 

  27. Nebrich, G., Herrmann, M., Hartl, D., Diedrich, M., et al.: PROTEOMER: a workflow-optimized laboratory information management system for 2-D electrophoresis-centered proteomics. Proteomics 9(7), 1795–1808 (2009). doi:10.1002/pmic.200800522

    Article  Google Scholar 

  28. Droit, A., Hunter, J.M., Rouleau, M., Ethier, C., Picard-Cloutier, A., Bourgais, D., Poirier, G.G.: PARPs database: a LIMS systems for protein-protein interaction data mining or laboratory information management system. BMC Bioinform. 8 (2007). doi:10.1186/1471-2105-8-483

  29. Sanchez-Villeda, H., Schroeder, S., Polacco, M., McMullen, M., et al.: Development of an integrated laboratory information management system for the maize mapping project. Bioinformatics 19(16), 2022–2030 (2003). doi:10.1093/bioinformatics/btg274

    Article  Google Scholar 

  30. Honore, P., Granjeaud, S., Tagett, R., Deraco, S., Beaudoing, E., Rougemont, J., Debono, S., Hingamp, P.: MicroArray Facility: a laboratory information management system with extended support for Nylon based technologies. BMC Genomics 7 (2006). doi:10.1186/1471-2164-7-240

  31. Monnier, S., Cox, D.G., Albion, T., Canzian, F.: TaqMan information management system, tools to organize data flow in a genotyping laboratory. BMC Bioinform. 6 (2005) doi:10.1186/1471-2105-6-246

  32. Vu, T.D., Eberhardt, U., Szoke, S., Groenewald, M., Robert, V.: A laboratory information management system for DNA barcoding workflows. Integr. Biol. 4(7), 744–755 (2012). doi:10.1039/c2ib00146b

    Article  Google Scholar 

  33. Wray, B.R.: Bar code sample identification - the key to laboratory information management-systems (LIMS) productivity. Trac-Trends Anal. Chem. 7(3), 88–93 (1988). doi:10.1016/0165-9936(88)85027-1

    Article  Google Scholar 

  34. Penhaker, M., Cerny, M., Rosulek, M.: Sensitivity analysis and application of transducers. Paper Presented at the 5th International Workshop on Wearable and Implantable Body Sensor Networks, BSN 2008, in Conjunction with the 5th International Summer School and Symposium on Medical Devices and Biosensors, ISSS-MDBS 2008, Hong Kong (2008)

    Google Scholar 

  35. Dolezal, R., Sobeslav, V., Hornig, O., Balik, L., Korabecny, J., Kuca, K.: HPC cloud technologies for virtual screening in drug discovery. In: Nguyen, N.T., Trawiński, B., Kosala, R. (eds.) ACIIDS 2015. LNCS (LNAI), vol. 9012, pp. 440–449. Springer, Cham (2015). doi:10.1007/978-3-319-15705-4_43

    Google Scholar 

  36. Pavlik, J., Komarek, A., Sobeslav, V.: Security information and event management in the cloud computing infrastructure. In: Computational Intelligence and Informatics, pp. 209–214 (2014) doi:10.1109/CINTI.2014.7028677

  37. ownCloud. https://owncloud.org/

  38. Machina, H.K., Wild, D.J.: Laboratory informatics tools integration strategies for drug discovery: integration of LIMS, ELN, CDS, and SDMS. J. Lab. Autom. 18(2), 126–136 (2012). doi:10.1177/2211068212454852

    Article  Google Scholar 

  39. Sahiti, M., Vimla, L.P.: Organization of biomedical data for collaborative scientific research: a research information management system. Int. J. Inf. Manag. 30(3), 256–264 (2010). doi:10.1016/j.ijinfomgt.2009.09.005. ISSN 0268-4012

    Article  Google Scholar 

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Acknowledgment

This work and the contribution were supported by project “SP/2102/2017 - Smart Solutions for Ubiquitous Computing Environments” from University of Hradec Kralove.

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Authors and Affiliations

  1. Faculty of Informatics and Management, Center for Basic and Applied Research, University of Hradec Kralove, Hradec Kralove, Czech Republic

    Pavel Blazek, Kamil Kuca, Jiri Krenek & Ondrej Krejcar

  2. Faculty of Military Health Sciences, University of Defence, Hradec Kralove, Czech Republic

    Pavel Blazek

  3. Biomedical Research Centre, University Hospital Hradec Kralove, Hradec Kralove, Czech Republic

    Kamil Kuca

Authors
  1. Pavel Blazek
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  2. Kamil Kuca
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  3. Jiri Krenek
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  4. Ondrej Krejcar
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Corresponding authors

Correspondence to Pavel Blazek or Kamil Kuca .

Editor information

Editors and Affiliations

  1. Universidad de Granada, Granada, Spain

    Ignacio Rojas

  2. Universidad de Granada, Granada, Spain

    Francisco Ortuño

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Blazek, P., Kuca, K., Krenek, J., Krejcar, O. (2017). Increasing of Data Security and Workflow Optimization in Information and Management System for Laboratory. In: Rojas, I., Ortuño, F. (eds) Bioinformatics and Biomedical Engineering. IWBBIO 2017. Lecture Notes in Computer Science(), vol 10208. Springer, Cham. https://doi.org/10.1007/978-3-319-56148-6_54

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  • DOI: https://doi.org/10.1007/978-3-319-56148-6_54

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