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Standardisation in life-science research - Making the case for harmonization to improve communication and sharing of data amongst researchers

  • Modern, high-throughput methods for the analysis of genetic information, gene and metabolic products and their interactions offer new opportunities to gain comprehensive information on life processes. The data and knowledge generated open diverse application possibilities with enormous innovation potential. To unlock that potential skills in generating but also properly annotating the data for further data integration and analysis are needed. The data need to be made computer readable and interoperable to allow integration with existing knowledge leading to actionable biological insights. To achieve this, we need common standards and standard operating procedures as well as workflows that allow the combination of data across standards. Currently, there is a lack of experts who understand the principles and possess knowledge of the principles and relevant tools. This is a major barrier hindering the implementation of FAIR (findable, accessible, interoperable and reusable) data principles and the actual reusability of data. This is mainly due to insufficient and unequal education of the scientists and other stakeholders involved in producing and handling big data in life science that is inherently varied and complex in nature, and large in volume. Due to the interdisciplinary nature of life science research, education within this field faces numerous hurdles including institutional barriers, lack of local availability of all required expertise, as well as lack of appropriate teaching material and appropriate adaptation of curricula.

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URN:urn:nbn:de:kobv:526-opus4-20118
Publisher DOI:https://doi.org/10.29007/4xkd
Author:Susanne HollmannORCiD, Babette RegiererORCiD, Domenica D'EliaORCiD, Marcus FrohmeORCiDGND, Kristina GrudenORCiD, Juliane PfeilORCiD, Spela BaeblerORCiD, Ugur Sezerman, Chris T. EveloORCiD, Friederike Erhart, Berthold Huppertz, Erik Bongcam-RudloffORCiD, Christophe TrefoisORCiD, Aleksandra Gruca, Deborah Duca, Gianni Colotti, Roxana Merino-Martinez, Christos Ouzounis, Oliver HunewaldORCiD, Feng He, Andreas KremerORCiD
Document Type:Conference Proceeding
Language:English
Year of Publication:2018
Page Number:11
Faculties an central facilities:Fachbereich Ingenieur- und Naturwissenschaften
Editor:Slobodan KalajdziskiORCiD, Nevena AckovskaORCiD
Publishing Institution:Technische Hochschule Wildau
Tag:FAIR data; education; interoperability; quality control (QC); quality management (QM); standard operating procedures (SOPs); standardization
Source:Hollmann, S., Regierer, B., D’Elia, D., Gruden, K., Baebler, Š., Frohme, M., Pfeil, J., Sezerman, U.O., Evelo, C.T., Ehrhart, F., Huppertz, B., Bongcam-Rudloff, E., Trefois, C., Gruca, A., Duca, D., Colotti, G., Merino-Martinez, R., Ouzounis, C.A., Hunewald, O., He, F., & Kremer, A. (2018). Standardisation in life-science research - Making the case for harmonization to improve communication and sharing of data amongst researchers. EasyChair Preprints.
Dewey Decimal Classification:0 Informatik, Informationswissenschaft, allgemeine Werke / 00 Informatik, Wissen, Systeme / 005 Computerprogrammierung, Programme, Daten
5 Naturwissenschaften und Mathematik / 57 Biowissenschaften; Biologie / 570 Biowissenschaften; Biologie
Licence (German):Creative Commons - CC BY - Namensnennung 4.0 International
Release Date:2025/02/28
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