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Resources of Week 8

Resources used in this week
tools
© CC BY 4.0

Science Communication

Fecher, B., & Friesike, S. (2014). ‘Open Science: One Term, Five Schools of Thought’. Bartling S. & Friesike S. (eds) Opening Science, pp. 17–47. Springer International Publishing: Cham.

Fecher, B., & Hebing, M. (2021). ‘How do researchers approach societal impact?’, (L. Rozylowicz, Ed.)PLOS ONE, 16/7: e0254006. DOI: 10.1371/journal.pone.0254006.

Fecher, B., & Kobsda, C. (2019). ‘Meet the Research Impact Canvas: A Structured Guide for Planning Your Science Communication Activities’,. Zenodo. DOI: 10.5281/ZENODO.3368480.

Gibbons, M. (1999). ‘Science’s new social contract with society’, Nature, 402/6761 Suppl: C81-84. DOI: 10.1038/35011576.

Jasanoff, S. (2004). States of Knowledge: The Co-Production of Science and Social Order. Routledge Taylor & Francis Group.

Neuberger, C., Weingart, P., Fähnrich, B., Fecher, B., Schäfer, M. S., Schmid-Petri, H., & Wagner, G. G. (2021). Der digitale Wandel der Wissenschaftskommunikation. Wissenschaftspolitik im Dialog. Berlin-Brandenburgische Akademie der Wissenschaften (BBAW).

Nowotny, H., Scott, P., & Gibbons, M. (2003). ‘“Mode 2” Revisited: The New Production of Knowledge’, Minerva, 41/3: 179–94. DOI: 10.1023/A:102550552825.

Stehr, N. (1994). Knowledge societies. London : Thousand Oaks, Calif: Sage.

Wynne, B. (2006). ‘Public Engagement as a Means of Restoring Public Trust in Science – Hitting the Notes, but Missing the Music?’, Public Health Genomics, 9/3: 211–20. DOI: 10.1159/000092659

Strategic Impact Management

Gannaway,D., Hinton,T., Berry, B. & Moore, K. (2013) Cultivating change: disseminating innovation in higher education teaching and learning, Innovations in Education and Teaching International, 50:4, 410-421, DOI:10.1080/14703297.2013.839334, [Last access: 06.12.22].

Hinton, T., Gannaway, D., Berry, B., & Moore, K. (2011). The D-Cubed Guide: Planning for Effective Dissemination. Sydney: Australian Teaching and Learning Council, [Last access: 06.12.22].

Levitan, B. (2014): Stakeholder analysis toolkit, University of Manchester, https://www.alnap.org/help-library/stakeholder-analysis-toolkit, [Last access: 06.12.22].

Mendelow, A. L., “Environmental Scanning–The Impact of the Stakeholder Concept” (1981). ICIS 1981 Proceedings. 20. http://aisel.aisnet.org/icis1981/20, [Last access: 06.12.22].

Rabin, B. A., Brownson, R. C., Haire-Joshu, D., Kreuter, M. W., & Weaver, N. L. (2008). A glossary for dissemination and implementation research in health. Journal of public health management and practice : JPHMP, 14(2), 117–123. https://doi.org/10.1097/01.PHH.0000311888.06252.bb, [Last access: 06.12.22].

W.K. Kellogg Foundation (2004): Logic Model Development Guide. Using Logic Models to Bring Togerther Planning, Evaluation, and Action, Battle Creek, MI: W.K. Kellogg Foundation, [Last access: 06.12.22].

Innovation Indicators

Begel, A., Bosch, J., & Storey, M.‑A. (2013). Social Networking Meets Software Development: Perspectives from GitHub, MSDN, Stack Exchange, and TopCoder. IEEE Software, 30(1), 52–66. https://doi.org/10.1109/MS.2013.13.

Blümel, C. (2019). Open Science und Open Innovation: Neue Indikatoren für die Analyse des Wissenschafts- und Innovationssystems im Digitalen Zeitalter. (Stifterverband Discussion Paper No. 1/2019). Berlin. Retrieved from Stifterverband der Deutschen Wissenschaft website: https://stifterverband.org/medien/open-science-und-open-innovation.

Braun-Thürmann, H. (2005). Innovation. Bielefeld: transcript.

Chesbrough, H. W. (2003). Open Innovation. The New Imperative for Creating and Profiting from Technology. Boston: Harvard Business School Press.

Chesbrough, H., & Brunswicker, S. (2013). Managing open innovation in large firms. Stuttgart.

Dabbish, L., Stuart, C., Tsay, J., & Herbsleb, J. (2012). Social coding in GitHub: transparency and collaboration in an open software repository. ACM Press, 1277.

Dosi, G. (1988). Sources, Procedures and Microeconomic Effects of Innovation. Journal of Economic Literature, XXVI, 1120–1171.

Fagerberg, J. (2005). Innovation: A Guide to the Literature. In J. Fagerberg, D. C. Mowery, & R. Nelson (Eds.), The Oxford Handbook of Innovation (pp. 1–26). New York: Oxford University Press.

Franzoni, C., & Sauermann, H. (2014). Crowd science: The organization of scientific research in open collaborative projects. Research Policy, 43(1), 1–20. https://doi.org/10.1016/j.respol.2013.07.005.

Freeman, C. (1969). Measurement of Output of Research and Experimental Development: A Review Paper. Paris.

Freeman, C. (1974). The Economics of Industrial Innovation. Harmondsworth: Penguin Books.

Grupp, H., & Formahl, D. (2010). Ökonomische Innovationsforschung. In D. Simon, A. Knie, & S. Hornbostel (Eds.), Handbuch Wissenschaftspolitik (pp. 130–150). Wiesbaden: VS Verlag.

Grupp, H., & Mogee, M. E. (2004). Indicators for National Science and Technology Policy. In H. Moed, W. Glänzel, & U. Schmoch (Eds.), Handbook of Quantitative Science and Technology Research: The Use of Publication and Patent Statistics in Studies of S&T Systems (pp. 75–94). Dordrecht: Kluwer Academic Publishers.

Handbook of Quantitative Studies of Science and Technology (1988). Elsevier.

Haustein, S., Bowman, T. D., & Costas, R. [Rodrigo] (2016). Interpreting “altmetrics”: viewing acts on social media through the lens of citation and social theories. In C. R. Sugimoto (Ed.), Theories of Informetrics and Scholarly Communication (Pp. 372–405). Berlin: De Gruyter Mouton. Retrieved from http://arxiv.org/abs/1502.05701.

Inauen, M., & Schenker‐Wicki, A. (2012). Fostering radical innovations with open innovation”, European Journal of Innovation Management. European Journal of Innovation Management,, 15(2), 212–231. https://doi.org/10.1108/14601061211220986.

Kitchin, R. (2014). The data revolution: Big data, Open Data, Data Infrastructures and their Consequences. London: Sage.

Kline, S., & Rosenberg, N. (1986). An Overview of Innovation. In R. Landau & N. Rosenberg (Eds.), The Positive Sum Strategy: Harnessing Technology for Economic Growth (pp. 275–305). Washington D.C.: National Academy Press.

Little, A. (1963). Patterns and Problems of Technical Innovation in American Industry: Report to the National Science Foundation. Washington D.C.

Mayernik, M., Hart, D., Maull, K., & Weber, N. (2016). Assessing and Tracing the Outcomes and Impact of Research Infrastructures. Journal of the American Society for Information Science and Technology, 68(6), 1341–1359.

Mongeon, P. [Philippe], & Paul-Hus, A. (2015). The journal coverage of Web of Science and Scopus: a comparative analysis. Scientometrics, 106(1), 213–228. https://doi.org/10.1007/s11192-015-1765-5.

Moya-Anegón, F., Chinchilla-Rodriguez, B., Vargas-Quesada, E., Corera-Álvarez, F., Munoz-Fernández, A., Gonzalez-Molina, V., & Herrero-Solana (2007). Coverage Analysis of Scopus: A journal metric approach. Scientometrics, 73(1), 53–78.

OECD (1980). Technical Change and Economic Policy: Science and Technology in the New Economic Context (OECD Publications). Paris.

OECD (2005). The Measurement of Scientific and Technological Activities: Guidelines for Collecting and Interpreting Innovation Data: Oslo Manual. Paris.

Pavitt, K. (1984). Sectoral Patterns of Technical Change: Towards a Taxonomy and a Theory. Research Policy, 13, 343–373.

Piore, M., & Sabel, J. C. (1989). Das Ende der Massenproduktion: Studie über die Requalifizierung der Arbeit und die Rückkehr der Ökonomie in die Gesellschaft. Berlin: Wagenbach.

Purdam, K. (2014). Citizen social science and citizen data? Methodological and ethical challenges for social research. Current Sociology, 62(3), 374–392. https://doi.org/10.1177/0011392114527997.

Puschmann, C. [C.], & Mahrt, M. [Merja] (2012). Scholarly blogging; A new form of publishing or science journalism 2.0? In A. Tokar, M. Beurskens, S. Keuneke, M. Mahrt, C. Peters, C. Puschmann, & T. Treeck (Eds.), Science and the Internet (pp. 171–182). Düsseldorf: Düsseldorf University Press.

Rainer Frietsch, Peter Neuhäusler, & Oliver Rothengatter (2013, January 1). Sme patenting: An empirical analysis in nine countries. Fraunhofer ISI Discussion Papers Innovation Systems and Policy Analysis (No. 36). Karlsruhe: Fraunhofer ISI. Retrieved from http://hdl.handle.net/10419/83977.

Robinson-Garcia, N., Mongeon, P. [P.], Jeng, W., & Costas, R. [R.] (2017). DataCite as a novel bibliometric source: Coverage, strengths and limitations. Journal of Informetrics.

Scheliga, K., Friesike, S., Puschmann, C. [Cornelius], & Fecher, B. (2016). Setting up crowd science projects. Public Understanding of Science (Bristol, England). Advance online publication. https://doi.org/10.1177/0963662516678514.

Sugimoto, C. R., Work, S., Larivière, V., & Haustein, S. (2017). Scholarly use of social media and altmetrics: A review of the literature. Journal of the Association for Information Science and Technology, 68(9), 2037–2062. https://doi.org/10.1002/asi.23833.

Williams, H. (2013). Intellectual Property Rights and Innovation: Evidence from the Human Genome (NBER Working Paper No. 16213).

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Openness in Science and Innovation

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