Article
| Title: | Informačné prostredie a vedecká komunikácia: aspekty vedeckej dátovej gramotnosti |
| Variant title: | Information environment and scholarly communication: aspects of research data literacy |
| Author: | |
| Source document: | ProInflow: časopis pro informační vědy. 2018, vol. 10, iss. 2, pp. 4-22 |
| Extent: | 4-22 |
| ISSN: | 1804-2406 (online) |
| DOI: | 10.5817/ProIn2018-2-2 |
| Type: | Article (Slovak) |
| Stable URL: | http://hdl.handle.net/11222.digilib/138447 |
| License: |
PDF
Abstract(s):
Cieľom príspevku je vymedzenie informačného prostredia v kontextoch vedeckej komunikácie a vedeckej dátovej gramotnosti vedcov v SR. Definujú sa základné pojmy ako informačné prostredie, vedecká komunikácia, dáta, vedecké dáta, dátová gramotnosť, vedecká dátová gramotnosť. Vymedzujú sa problémy interpretácie dát v informačnej vede, najmä typy dát v súvislosti s manažmentom vedeckých dát. Cieľom príspevku je vymedzenie informačného prostredia v kontextoch vedeckej komunikácie a vedeckej dátovej gramotnosti vedcov v SR. Definujú sa základné pojmy ako informačné prostredie, vedecká komunikácia, dáta, vedecké dáta, dátová gramotnosť, vedecká dátová gramotnosť. Vymedzujú sa problémy interpretácie dát v informačnej vede, najmä typy dát v súvislosti s manažmentom vedeckých dát.
Purpose – The paper is aimed at exploration of the information environment in contexts of scholarly communication and research data literacy of researchers in Slovakia. Basic concepts are specified, including information environment, scholarly communication, data, research data, data literacy, research data literacy. Issues of data interpretation in information science are considered, namely types of research data in contexts of research data management. Design/methodology/approach – Results of two studies regarding information behaviour of researchers and research data literacy of researchers in SR are presented. We applied qualitative and quantitative methodologies, concept mapping and modelling. Results – Based on a qualitative study of information behaviour of researchers in SR we present the types of research data illustrated by a concept map and information behaviour of researchers. Results of the first survey of research data literacy of researchers in SR as part of an international study indicate willingness of researchers to share research data. Differences among disciplines were confirmed, interest in research data management courses and concerns regarding misinterpretation of data. We present proposals for research data literacy and research data management and content of courses of analyses and data visualization. Originality/value – We presented an original interpretation of the information environment. Based on results of our studies we present an original image of the information environment of researchers in SR. We propose an original concept of the academic information ecologies and a new model of the academic library. The support of research data literacy and building of data infrastructure as new perspectives of information science are emphasized.
Purpose – The paper is aimed at exploration of the information environment in contexts of scholarly communication and research data literacy of researchers in Slovakia. Basic concepts are specified, including information environment, scholarly communication, data, research data, data literacy, research data literacy. Issues of data interpretation in information science are considered, namely types of research data in contexts of research data management. Design/methodology/approach – Results of two studies regarding information behaviour of researchers and research data literacy of researchers in SR are presented. We applied qualitative and quantitative methodologies, concept mapping and modelling. Results – Based on a qualitative study of information behaviour of researchers in SR we present the types of research data illustrated by a concept map and information behaviour of researchers. Results of the first survey of research data literacy of researchers in SR as part of an international study indicate willingness of researchers to share research data. Differences among disciplines were confirmed, interest in research data management courses and concerns regarding misinterpretation of data. We present proposals for research data literacy and research data management and content of courses of analyses and data visualization. Originality/value – We presented an original interpretation of the information environment. Based on results of our studies we present an original image of the information environment of researchers in SR. We propose an original concept of the academic information ecologies and a new model of the academic library. The support of research data literacy and building of data infrastructure as new perspectives of information science are emphasized.
Keywords:
informačné prostredie; vedecká komunikácia; informačné správanie vedcov; vedecká dátová gramotnosť; akademické informačné ekológie; manažment vedeckých dát
information environment; scholarly communication; information behaviour of researchers; research data literacy; academic information ecologies; research data management
information environment; scholarly communication; information behaviour of researchers; research data literacy; academic information ecologies; research data management
References:
[1] ACRL (2013). Intersection of scholarly communication and information literacy: creating strategic collaboration for a changing academic environment. Chicago, IL: Association of College and Research Libraries. http://acrl.ala.org/intersections/
[2] Borgman, Ch. L. (2015). Big Data, Little Data, No Data. Scholarship in the Networked World. Cambridge: MIT Press, 2015. 383 p.
[3] Bowker, G., Timmermans, S., Clarke, A. E., and E. Balka (eds.). (2015). Boundary Objects and Beyond. Working with Leigh Star. Cambridge: MIT Press 2015.
[4] Brown, C. (2010). Communication in the Sciences. Annual Review of Information Science and Technology, 44, 287-316. | DOI 10.1002/aris.2010.1440440114
[5] Bourg, Ch., Ross C., and R. Erway. (2009). Support for the Research Process: An Academic Library Manifesto. Report prod. by OCLC Research. Retrieved from: http://www.oclc.org/research/publications/library/2009/2009-07.pdf
[6] Bulger, M., Meyer, E. T., De la Flor, G., Terras, M., Wyatt, S., Jirotka, M., Eccles, K., Madsen, Ch., and McCarthy. (2011). Reinventing Research? Information Practices in the Humanities. A Research Information Network Report, April 2011. Retrieved from: http://dx.doi.org/10.2139/ssrn.1859267 | DOI 10.2139/ssrn.1859267
[7] Carlson, J., Johnston, L., Westra, B., Nichols, M. (2013). Developing an Approach for Data Management Education: A report from Data Literacy Project. Int. J. On Digital Curation. 8 (1), 204-217. (2013). http://dx.doi.org/10.2218/ijdc.v8i1.254 | DOI 10.2218/ijdc.v8i1.254
[8] Carlson, J. and Stowell Bracke M. (2015). Planting the seeds for data literacy: Lessons learned from a student-centered education program. Int. Journal of Digital Curation 10 (1), 95-110. | DOI 10.2218/ijdc.v10i1.348
[9] Case, D. O. & Given, L. (2016). Looking for information: a survey of research on information seeking, needs and behaviour. Fourth ed. Bingley: Emerald.
[10] Chowdhury, G., Walton, G., Kurbanoglu, S., Unal, Y., Boustany, J. (2016). Information practices for sustainability: Information, data and environmental literacy. In: Spiranec, S., Kurbanoglu, S. Landova, H. (eds.). The 4th ECIL conference on information Literacy, 22. Prague.
[11] Chowdhury, G. G. (2014). Sustainability of Scholarly Information. London: Facet. 231 p.
[12] Edwards, P. N., Jackson, S. J., Bowker, G.C., Knobel, C. (2007). Understanding Infrastructure: Dynamics, Tensions and Design. Report of a Workshop on History and Theory of Infrastructure: Lessons for New Scientific Cyberinfrastructures. Washington: NSF 2007. 50 s. Dostupné na: http://deepblue.lib.umich.edu/bitstream/2027.42/49353/3/UnderstandingInfrastructure2007.pdf
[13] Erdelez, S. & Means, T. (2005). Measuring changes in information sharing among life science researchers. In: Knowledge Management: Nurturing Culture, Innovation and Technology, 29-40.
[14] Ford, N. (2015). Introduction to Information Behaviour. London: Facet 2015. 252p.
[15] Furner, J. (2016). "Data": The data. In: Kelly, M., Bielby, J. (eds.): Information Cultures in the Digital Age, Springer, Wiesbaden, 287-306.
[16] Fry, J. (2013). Considerations in adopting a disciplinary analysis of scholarly communication and information behaviours. In: ASIST European Workshop. Abo, Abo Univ. 63-78.
[17] Given, L. M., Willson R. (2015). Collaboration, Information Seeking, and Technology Use: A Critical Examination of Humanities Scholars' Research Practices. In: Hansen P., Shah C., Klas CP. (eds) Collaborative Information Seeking. Computer Supported Cooperative Work. Springer, Cham.
[18] Greifeneder, E. Pontis, Sh., Blandford, A., Attalla, H., Neal, D., Schlebbe, K. (2018). Researchers' attitudes towards the use of social networking sites. Journal of Documentation, 74, (1), 119-136. https://doi.org/10.1108/JD-04-2017-0051 | DOI 10.1108/JD-04-2017-0051
[19] Haustein, S. (2016). Grand challenges in altmetrics: heterogeneity, data quality and dependencies. Scientometrics [online]. Vol. 108, Iss.1, 413-423. Retrieved from: doi: 10.1007/s11192-016-1910-9. | DOI 10.1007/s11192-016-1910-9
[20] Heuwing, B., Mandl, T. & Womser-Hacker, C. (2016). Combining contextual interviews and participative design to define requirements for text analysis of historical media. In Proceedings of ISIC, Zadar, Croatia, 20-23 September, 2016: Part 1. Information Research, 21(4), paper isic1606. Retrieved from http://InformationR.net/ir/21-4/isic/isic1606.html
[21] Howkins, J. (2010). Creative Ecologies. Where Thinking is a Proper Job. New Brunsvik: Transaction Pub. 2010. 161 p.
[22] Jarolímková, A. (2017). Datová (informační) gramotnost a výzkumná data. In: ITLib. Roč. 21, No.4 (2017), 30-33.
[23] Karvalics, L. Z. (2013). From Scientific Literacy to Lifelong Research: A Social Innovation Approach. In: Worldwide Commonalities and Challenges in Information Literacy Research and Practice. ECIL 2013. Rev. Sel. Papers. Ed. S. Kurbanoglu et al. Springer, Cham, 126-133.
[24] Kinchin, I. M., Streatfield, D., Hay, D.B. (2010). Using Concept Mapping to Enhance the Research Interview. In: International Journal of Qualitative Methods. 2010, 9, (1), 52-89.
[25] Koltay, T. (2017). Data Literacy for researchers and data librarians. J. of Librarianship and Inf. Science. Vol. 49 (1), 3-14.
[26] Koltay, T., Špiranec, S., Karvalics, L. Z. (2016). Research 2.0 and the Future of Information Literacy. Amsterdam: Chandos.
[27] Kim, Y., Stanton, J.M. (2016). Institutional and individul factors affecting scientist's data-sharing behaviors: a multilevel analysis. Journal of the Association for Information Science and Technology 67: 776-799. http://dx.doi.org/10.1002/asi.23424. | DOI 10.1002/asi.23424
[28] Kirchner, J., Diaz, J., Henry, G., Fliss, S., Culshaw, J., Gendron, H., Cawthorne, J. (2015). The Centre of Excellence Model for Information Services. [online]. Washington: CLIR. 25 p. Retr. from: http://www.clir.org/pubs/reports/pub163
[29] Mackenzie, A. and Martin, L. (eds.). 2016. Developing Digital Scholarship. Emerging practices in academic libraries. London: Facet 2016. 184 p.
[30] Malpas, C., and M. Proffitt. (2017). The Transformation of Academic Library Collecting: A Synthesis of the Harvard Library's Hazen Memorial Symposium. Dublin, OH: OCLC Research. doi:10.25333/C3J04Z | DOI 10.25333/C3J04Z
[31] Martin, E. R. (2014). What is Data Literacy? Journal of eScience Librarianship. 3 (1), 1-2, (2014). Dostupné na: http://doi.10.7191/jeslib/2014.1069. | DOI 10.7191/jeslib.2014.1069
[32] McGuiness, C. (2006). What Faculty Think-Exploring the Barriers to Information Literacy Development in Undergraduate Education. In: Journal of Academic Librarianship. Vol. 32, No. 6, 573-582. | DOI 10.1016/j.acalib.2006.06.002
[33] Nardi, B. A., O'Day, V. L. (1999). Information Ecologies: Using Technology with Heart. Cambridge: MIT Press, 1999. 232 p.
[34] Novak, J. D., Cañas, A.J. (2006). The Theory Underlying Concept Maps and How to Construct Them. Technical report IHMC. CmapsTools. Pensacola: Florida Institute for Human and Machine Cognition.
[35] Olson, G. M., Olson, J. (2016). Converging on theory from four sides. In: Theory development in the Information Sciences. Ed. D. Sonnenwald. Univ. Of Texas, Austin, 87-100.
[36] Palmer, C.L., & Cragin, M.H. (2008). Scholarship and disciplinary practices. In Annual Review of Information Science and Technology. Vol. 43 (2), 163-212. Retrieved from: http://dx.doi.org/10.1002/aris.2008.1440420112 | DOI 10.1002/aris.2008.1440420112
[37] Pálsottir, A. (2018). 1Data Literacy, Collaboration and Sharing of Research Data Among Academics at the University of Island. In: Information Literacy in the Workplace. 5th European Conference. Springer International Publ. AG, 178-185. (2018). CCIS 810
[38] Roos, A., Kumpulainen, S., Järvelin, K and Hedlund, T. (2008). The information environment of researchers in molecular medicine. Information Research, 13(3) paper 353. Retrieved from: http://InformationR.net/ir/13-3/paper353.html
[39] Rowlands, I. & Fieldhouse, M. (2007). Information behaviour of the researcher of the future, work package I: trends in scholarly information behaviour. Retrieved from: www.jisc.ac.uk/media/documents/programmes/reppres/ggworkpackagei.pdf
[40] Scanlon, E. (2014). Scholarship in the Digital Age: open educational resources, publication and public engagement. British Journal of Educational Technology, 45 (1), 12-23. | DOI 10.1111/bjet.12010
[41] Schneider, R. (2013). Research Data Literacy. In: Worldwide Commonalities and Challenges in Information Literacy Research and Practice. ECIL 2013. Springer, Cham, 134-140.
[42] Schneider, R. (2018). Training Trainers for Data Literacy: A Content- and Method-Oriented Approach. In: Information Literacy in the Workplace. 5th European Conference, ECIL 2017. Springer International Publishing AG , 139-147. CCIS 810
[43] Sonnenwald, D. H. (2013). Visioning the Future of Information and Library Science: Challenges and Opportunities. In: Hobohm, H.C., ed. Informationswissenschaft zwischen virtuellen Infrastruktur und materialen Lebenswelt, ISI 2013, Gluckstadt: Hulsbusch 2013, 22-34.
[44] Steinerová, J. (2005). Informačné správanie. Pohľady informačnej vedy. Bratislava: CVTI 2005. ISBN 80-85165-90-2.
[45] Steinerová, J. et al. (2012). Informačná ekológia akademického informačného prostredia. Autori: J. Steinerová, J. Ilavská, M. Ondrišová, L. Lichnerová, H. Ondriašová, M. Haršányiová, L. Prágerová. Bratislava: Univerzita Komenského. 96s. ISBN 978-80-223-3178-4.
[46] Steinerová, J. (2014). Ecological Information Interactions for Digital Scholarship. In: Cognitive Traveling in Digital Space of the Web and Digital Libraries. Interdisciplinary Multi-Partner Project TraDiCe. Ed. P. Návrat et al. Bratislava: STU 158-169.
[47] Steinerová, J. (2015). Trendy vzdelávania knihovníkov a nových informačných profesionálov. Trends in education of librarians and new information professionals. In: Knižnice v krajinách V4+ a perspektívy ich ďalšieho rozvoja do roku 2020. Zborník príspevkov z 5. Kolokvia knižnično-informačných expertov krajín V4+. Bratislava, 8.-9-6. 2015. Banská Bystrica: ŠVK, 2015, s. 99-115.
[48] Steinerová, J. (2016). Open Science and the Research Information Literacy Framework. In: Information Literacy: Key to an Inclusive Society. Eds. S. Kurbanoglu et al. ECIL 2016. Cham: Springer International Publishing, CCIS 676, 277-385.
[49] Steinerová, J. (2017). Otvorená veda a informačné správanie vedcov v SR. In: ProInFlow: časopis pro informační vědy. Vol. 9, No. 2, (2017), 48-73. Dostupné na: http://www.phil.muni.cz/journals/index.php/proinflow/article/view/1675, https://doi.org/10.5817/proinflow.v9i2.1675 | DOI 10.5817/proinflow.v9i2.1675
[50] Steinerová, J. (2018). Information Literacy Practices of Researchers in Workplace Information Ecologies. In: Kurbanoglu, S. et al. (eds.). Information Literacy in the Workplace. Cham: Springer, 2018, CCIS 810, s. 30-39.
[51] Steinerová, J. (2018). Informačné prostredie a vedecká komunikácia. Informačné ekológie. Bratislava: UK 2018. 230 p. ISBN 978-80-223-4445-6.
[52] Steinerová, J., Ondrišová, M. (2018). Research Data Literacy Perception and Practices in the Information Evironment. In: ECIL 2018. Paper proposal. 10 p.
[53] Talja, S., Savolainen, R. & Maula, H. (2005). Field differences in the use and perceived usefulness of scholarly mailing lists. Information Research, 10(1) paper 200. Retrieved from: http://InformationR.net/ir/10-1/paper200.html
[54] Tenopir, C., King, D.W., Christian, L. and Volentine, R. (2015). Scholarly article seeking, reading, and use: a continuing evolution from print to electronic in the sciences and social sciences, Learned Publishing, Vol. 28 No. 2, 93–105.
[55] Tenopir, C., Dalton, E.D., Allard, S., Frame, M., Pjesivac, I., Birch, B., Pollock, D., Dorsett, K. (2015). Changes in Data Sharing and Data Reuse Practices and Perceptions among Scientists Worlwide. PloS One, 10 (8), 1-24. http://doi:10.1371/journal.pone.0134826 | DOI 10.1371/journal.pone.0134826
[56] Vilar, P., Juznic, P. & Bartol, T. (2015). Information behaviour of Slovenian researchers: investigation of activities, preferences and characteristics. Information Research, 20(2), paper 670. Retrieved from http://InformationR.net/ir/20-2/paper670.html
[57] Vrana, R. (2013). Promotion of Scientific Literacy and Popularization of Science with Support of Libraries and Internet Services. In: Worldwide Commonalities and Challenges in Information Literacy Research and Practice. ECIL 2013. Springer, Cham, 324-330.
[58] Whitworth, A., Torras i Calvo, M-C., Moss. B., Kufle, N.A., Blasternes, T. (2015). Mapping Collective Information Practices in the Workplace. In Information Literacy: Moving Toward Sustainability. ECIL 2015. Cham: Springer, 49-58.
