Exploring institutional change in a knowledge commons: a longitudinal institutional analysis of journal policies
DOI:
https://doi.org/10.47989/ir31iConf64116Keywords:
Knowledge commons, Institutional grammar, Institutional change, PLOS ONE, Open accessAbstract
Introduction. Studies on shared information and its governance, known as knowledge commons, are closely related to open access (OA) initiatives. Understanding institutional changes is critical for knowledge commons, and systematic methods for such analyses are in demand. This study applies such a method to PLOS ONE, a typical OA mega journal, to explore the characteristics of the institutional change of the journal.
Method. This study introduces a research approach of combining content analysis based on Institutional Grammar, a tool for examining the syntactic structure of institutions, with data collection through the Internet Archive’s Wayback Machine, focusing on policies and guidelines of PLOS ONE.
Analysis. Institutional changes of PLOS ONE were analysed by comparing institutional complexity and stringency at two time points.
Results. The analysis revealed that the institutions run by PLOS ONE have evolved toward greater complexity and stringency. This change explains an adaptation to environmental changes in scholarly-communication ecosystems over the past few decades. However, this may also impose additional burdens, especially those on PLOS ONE authors.
Conclusions. The findings support the existing hypothesis on the institutional change in knowledge commons and offer new hypothetical insights into its impact on actors.
References
Ballantyne, N. (2022). Scholarly publication, open access and the commons. Critical and Radical Social Work, 10(3), 469–483. https://doi.org/10.1332/204986021X16467538565525
Basurto, X., Kingsley, G., McQueen, K., Smith, M., & Weible, C. M. (2010). A Systematic Approach to Institutional Analysis: Applying Crawford and Ostrom’s Grammar. Political Research Quarterly, 63(3), 523–537. https://doi.org/10.1177/1065912909334430
Chenette, E. (2021, November 26). Fifteen Years of PLOS ONE. PLOS. https://everyone.plos.org/2021/11/26/fifteen-years-of-plos-one/ (Internet Archive)
Crawford, S. E. S., & Ostrom, E. (1995). A Grammar of Institutions. The American Political Science Review, 89(3), 582–600. https://doi.org/10.2307/2082975
de Rosnay, M. D. (2021). Open access models, pirate libraries and advocacy repertoires: Policy options for academics to construct and govern knowledge commons. Westminster Papers in Communication and Culture. https://doi.org/10.16997/wpcc.913
Frantz, C. (n.d.). IG Parser: A Parser for Institutional Statements encoded in the IG Script Notation of the Institutional Grammar 2.0 (0.6) [Computer software]. https://ig-parser.newinstitutionalgrammar.org/ (Internet Archive)
Frantz, C. K., & Siddiki, S. (2022). Institutional Grammar: Foundations and Applications for Institutional Analysis. Palgrave Macmillan.
Frantz, C. K., & Siddiki, S. N. (2024). Institutional Grammar 2.0 Codebook v5. In arXiv [cs.MA]. arXiv. https://doi.org/10.48550/arXiv.2008.08937
Frantz, C., Siddiki, S., & Rizo, A. (2022). IG 2.0 Quick Reference Guide. https://institutionalgrammar.org/wp-content/uploads/IG-2.0-Quick-Reference.pdf (Internet Archive)
Frantz, C., Purvis, M. K., Nowostawski, M., & Savarimuthu, B. T. R. (2013). NADICO: A nested grammar of institutions. In Lecture Notes in Computer Science (pp. 429–436). Springer Berlin Heidelberg.
Frantz, C. K., Purvis, M. K., Savarimuthu, B. T. R., & Nowostawski, M. (2015). Modelling dynamic normative understanding in agent societies. Scalable Computing Practice and Experience, 16(4), 355–380.
Frey, S., & Sumner, R. W. (2019). Emergence of integrated institutions in a large population of self-governing communities. PloS One, 14(7), e0216335. https://doi.org/10.1371/journal.pone.0216335
Frey, S., Zhong, Q., Bulat, B., Weisman, W. D., Liu, C., Fujimoto, S., Wang, H., & Schweik, C. M. (2022). Governing online goods: Maturity and formalization in Minecraft, Reddit, and World of Warcraft communities. Proceedings of the ACM on Human-Computer Interaction, 6(CSCW2), 1–23. https://doi.org/10.1145/3555191
Frischmann, B. M., Madison, M. J., Strandburg, K. J. (2014a). Conclusion. In Frischmann, B. M., Madison, M. J., & Strandburg, K. J. (Eds.). (2014). Governing Knowledge Commons (pp. 469–484). Oxford University Press.
Frischmann, B. M., Madison, M. J., & Strandburg, K. J. (2014b). Governing Knowledge Commons. In B. M. Frischmann, M. J. Madison, & K. J. Strandburg (Eds.), Governing Knowledge Commons (pp. 1–44). Oxford University Press.
Frischmann, B. M., Strandburg, K. J., & Madison, M. J. (Eds.). (2017). Governing medical knowledge commons. Cambridge University Press.
Fuster Morell, M. (2010). Governance of online creation communities: Provision of infrastructure for the building of digital commons [Doctoral dissertation, European University Institute]. https://cadmus.eui.eu/handle/1814/14709
Gwet, K. L. (2008). Computing inter-rater reliability and its variance in the presence of high agreement. The British Journal of Mathematical and Statistical Psychology, 61(Pt 1), 29–48. https://doi.org/10.1348/000711006X126600
Han, C. (1999). Deontic modality, lexical aspect, and the semantics of imperatives. Linguistics in the Morning Calm. https://www.sfu.ca/~chunghye/papers/morningcalm.pdf (Internet Archive)
Hess, C. (2008). Mapping the New Commons. https://doi.org/10.2139/ssrn.1356835
Hess, C., & Ostrom, E. (2003). Ideas, artifacts, and facilities: Information as a common-pool resource. Law and Contemporary Problems, 66, 111–146. https://hdl.handle.net/10535/3088
Kim, Y., & Stanton, J. M. (2016). Institutional and individual factors affecting scientists’ data-sharing behaviors: A multilevel analysis: Institutional and Individual Factors Affecting Scientists’ Data Sharing Behaviors: A Multilevel Analysis. Journal of the Association for Information Science and Technology, 67(4), 776–799. https://doi.org/10.1002/asi.23424
Krippendorff, K. (2004). Content analysis: an introduction to its methodology (2nd ed). Sage.
Madison, M. (2020). Tools for Data Governance. Technology and Regulation, 2020, 29–43. https://scholarship.law.pitt.edu/fac_articles/394
Madison, M. J., Frischmann, B. M., & Strandburg, K. (2010). Reply: The complexity of commons. Cornell Law Review, 95, 839–850. https://scholarship.law.cornell.edu/cgi/viewcontent.cgi?article=3172&context=clr
Madison, M. J., Strandburg, K. J., & Frischmann, B. M. (2016). Knowledge Commons (2016). https://ssrn.com/abstract=2841456
Nissenbaum, H. (2009). Privacy in context: Technology, policy, and the integrity of social life. Stanford Law Books.
Ostrom, E., & Hess, C. (2007). A Framework for Analyzing the Knowledge Commons. In C. Hess & E. Ostrom (Eds.), Understanding Knowledge as a Commons: From Theory to Practice (pp. 41–81). MIT Press.
Patterson, M. (2010). PLoS ONE: Editors, contents, and goals. PLOS BLOGS EveryONE. https://theplosblog.plos.org/2010/05/plos-one-editors-contents-and-goals/ (Internet Archive)
Petrou, C. (2020). Guest Post – The Megajournal Lifecycle. The Scholarly Kitchen. https://scholarlykitchen.sspnet.org/2020/05/07/guest-post-the-megajournal-lifecycle/ (Internet Archive)
Raaijmakers, A. G. M., Vermeulen, P. A. M., Meeus, M. T. H., & Zietsma, C. (2015). I need time! Exploring pathways to compliance under institutional complexity. Academy of Management Journal, 58(1), 85–110. https://doi.org/10.5465/amj.2011.0276
Riffe, D., Lacy, S., Watson, B. R., & Lovejoy, J. (2023). Analyzing media messages: Using quantitative content analysis in research. Routledge.
Sanfilippo, M., & Frischmann, B. (2018). Privacy as commons: Case evaluation through the governing knowledge commons framework. Journal of Information Policy. https://doi.org/10.5325/jinfopoli.8.2018.0116
Sanfilippo, M. R., Frischmann, B. M., & Strandburg, K. J. (2021). Privacy and Knowledge Commons. In B. M. Frischmann, K. J. Strandburg, & M. R. Sanfilippo (Eds.), Governing Privacy in Knowledge Commons (pp. 5–50). Cambridge University Press.
Schweik, C. M. (2014). Toward the Comparison of Open-Source Commons Institutions. In B. M. Frischmann, M. J. Madison, & K. J. Strandburg (Eds.), Governing Knowledge Commons (pp. 255–280). Oxford University Press.
Shvartzshnaider, Y., Sanfilippo, M. R., & Apthorpe, N. (2022). GKC-CI: A unifying framework for contextual norms and information governance. Journal of the Association for Information Science and Technology, 73(9), 1297–1313. https://doi.org/10.1002/asi.24633
Siddiki, S., Weible, C. M., Basurto, X., & Calanni, J. (2011). Dissecting policy designs: An application of the institutional grammar tool. Policy Studies Journal: The Journal of the Policy Studies Organization, 39(1), 79–103. https://doi.org/10.1111/j.1541-0072.2010.00397.x
Stafford, S. L. (2006). Rational or Confused Polluters? Evidence from Hazardous Waste Compliance. Contributions in Economic Analysis & Policy, 5(1). https://doi.org/10.2202/1538-0645.1623
Suber, P. (2007). Creating an intellectual common through open access. In C. Hess & E. Ostrom (Eds.), Understanding knowledge as a commons: from theory to practice (pp. 171–208). MIT Press.
Uba, E. E., & Sanfilippo, M. R. (2025). Governing knowledge commons in information science. Information Research an International Electronic Journal, 30(iConf), 548–555. https://doi.org/10.47989/ir30iConf47281
Weible, C. M., & Carter, D. P. (2015). The composition of policy change: comparing Colorado’s 1977 and 2006 smoking bans. Policy Sciences, 48(2), 207–231. https://doi.org/10.1007/s11077-015-9217-x
Zhong, Q. K., Frey, S., & Hilbert, M. (2022). Quantifying the Selective, Stochastic, and Complementary Drivers of Institutional Evolution in Online Communities. Entropy (Basel, Switzerland), 24(9). https://doi.org/10.3390/e24091185
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