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A Reputation System for Scientific Contributions Based on a Token Economy

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Linking Theory and Practice of Digital Libraries (TPDL 2024)

Abstract

One way of determining the reputation of a scientist is by assessing the portfolio of their publications in peer-reviewed journals and conferences. However, this reputation is an incomplete measure of achievement and creates a variety of misaligned incentives that negatively influence the scientific process and cause an increased distribution of low-quality research content. In this paper, we point out some current problems in the scientific process, how they are linked to the behavioral patterns of optimizing bibliographic metrics, and present a possible solution in the form of a reputation token system. The solution is characterized by a token economy with mechanisms to create stronger incentives for high-quality contributions and deter fraud. We provide a prototypical implementation of the reputation token as a smart contract for the Ethereum blockchain with a user interface and network visualization.

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Data Availability Statement

The code repositories for Fungible Soulbound Tokens [3] and the Reputation Token with demonstrator visualization [5] are openly available on Github. The related work comparison [4] is available on the Open Research Knowledge Graph platform.

Notes

  1. 1.

    https://github.com/Christof93/FungibleSBT.

  2. 2.

    https://github.com/Christof93/ReputationToken.

  3. 3.

    https://christof93.github.io/ReputationToken.

  4. 4.

    https://orkg.org/comparison/R592130/.

  5. 5.

    https://cryptovalleyconference.com/.

References

  1. Paper mills research. Technical report (2022). https://doi.org/10.24318/jtbg8ihl

  2. The problem with scientific publishing (2017). https://www.economist.com/the-economist-explains/2017/03/30/the-problem-with-scientific-publishing. Accessed 4 Apr 2024

  3. Bless, C.: Fungible soulbound token (2023). https://github.com/Christof93/FungibleSBT. Accessed 26 July 2024

  4. Bless, C.: Prototypes of decentralized scientific publishing using blockchain technology (2023). https://orkg.org/comparison/R592130. Accessed 26 July 2024

  5. Bless, C.: ReputationToken (2024). https://github.com/Christof93/ReputationToken. Accessed 25 July 2024

  6. Bollen, J., Crandall, D., Junk, D., Ding, Y., Börner, K.: From funding agencies to scientific agency: collective allocation of science funding as an alternative to peer review. EMBO Rep. 15(2), 131–133 (2014). https://doi.org/10.1002/embr.201338068

  7. Buterin, V., et al.: A next-generation smart contract and decentralized application platform (2014)

    Google Scholar 

  8. Byrne, J.: We need to talk about systematic fraud. Nature 566(7742), 9 (2019). https://doi.org/10.1038/d41586-019-00439-9

    Article  Google Scholar 

  9. Clark, P.B., Wilson, J.Q.: Incentive systems: a theory of organizations. Adm. Sci. Q. 6(2), 129 (1961). https://doi.org/10.2307/2390752

    Article  Google Scholar 

  10. CoARA: Agreement on reforming research assessment (2022). https://coara.eu/app/uploads/2022/09/2022_07_19_rra_agreement_final.pdf. Accessed 25 July 2024

  11. Coelho, F.C., Brandão, A.: Decentralising scientific publishing: can the blockchain improve science communication? Memórias do Instituto Oswaldo Cruz 114 (2019). https://doi.org/10.1590/0074-02760190257

  12. Crotty, D.: The Latest “Crisis” - Is the Research Literature Overrun with ChatGPT- and LLM-generated Articles? (2024). https://scholarlykitchen.sspnet.org/2024/03/20/the-latest-crisis-is-the-research-literature-overrun-with-chatgpt-and-llm-generated-articles/. Accessed 27 Mar 2024

  13. Daraghmi, E.Y., Helou, M.A., Daraghmi, Y.A.: A blockchain-based editorial management system. Secur. Commun. Netw. 2021, 1–17 (2021). https://doi.org/10.1155/2021/9927640

    Article  Google Scholar 

  14. Declaration on Research Assessment (DORA): Guidance on the responsible use of quantitative indicators in research assessment (2024). https://doi.org/10.5281/ZENODO.11156568

  15. DORA: San Francisco declaration on research assessment (2012). https://sfdora.org/read/. Accessed 25 July 2024

  16. Ducrée, J., et al.: Unchaining collective intelligence for science, research, and technology development by blockchain-boosted community participation. Front. Blockchain 4 (2021). https://doi.org/10.3389/fbloc.2021.631648

  17. Duh, E.S., et al.: Publish-and-flourish: Using blockchain platform to enable cooperative scholarly communication. Publications 7(2), 33 (2019). https://doi.org/10.3390/publications7020033

  18. Elosua, J., Schjøll Brede, A., Ritola, M., Botev, V.: Iris.ai’s project Aiur: an open, community-governed AI Engine for Knowledge Validation (2018). https://projectaiur.com/wp-content/uploads/2018/05/ProjectAiur_whitepaper.pdf. Accessed 06 June 2023

  19. Falagas, M.E., Alexiou, V.G.: The top-ten in journal impact factor manipulation. Archivum Immunologiae et Therapiae Experimentalis 56(4), 223–226 (2008). https://doi.org/10.1007/s00005-008-0024-5

    Article  Google Scholar 

  20. Fanelli, D.: Do pressures to publish increase scientists’ bias? An empirical support from us states data. PLoS ONE 5(4), e10271 (2010). https://doi.org/10.1371/journal.pone.0010271

    Article  Google Scholar 

  21. Ferdous Khan, M.F., Viet, P.D., Sakamura, K.: A blockchain-based incentive management system for educational organizations. In: 2022 International Conference on Electrical, Computer, Communications and Mechatronics Engineering (ICECCME). IEEE (2022). https://doi.org/10.1109/iceccme55909.2022.9988717

  22. Ethereum Foundation: Solidity Documentation (2024). https://docs.soliditylang.org/. Accessed 18 Apr 2024

  23. Gleicher, N.: Avoiding currently unavoidable conflicts of interest in medical publishing by transparent peer review. Reprod. BioMedicine Online 26(5), 411–415 (2013). https://doi.org/10.1016/j.rbmo.2013.01.015

    Article  Google Scholar 

  24. Haak, L.L., Fenner, M., Paglione, L., Pentz, E., Ratner, H.: ORCID: a system to uniquely identify researchers. Learned Publishing 25(4), 259–264 (2012). https://doi.org/10.1087/20120404

    Article  Google Scholar 

  25. Hadi, M.A.: Fake peer-review in research publication: revisiting research purpose and academic integrity. Int. J. Pharm. Pract. 24(5), 309–310 (2016). https://doi.org/10.1111/ijpp.12307

    Article  Google Scholar 

  26. Haug, C.J.: Peer-review fraud – hacking the scientific publication process. N. Engl. J. Med. 373(25), 2393–2395 (2015). https://doi.org/10.1056/nejmp1512330

    Article  Google Scholar 

  27. Hendrikx, F., Bubendorfer, K., Chard, R.: Reputation systems: a survey and taxonomy. J. Parallel Distrib. Comput. 75, 184–197 (2015). https://doi.org/10.1016/j.jpdc.2014.08.004

    Article  Google Scholar 

  28. Hevner, A.R., March, S.T., Park, J., Ram, S.: Design science in information systems research. MIS Q. 28(1), 75 (2004). https://doi.org/10.2307/25148625

    Article  Google Scholar 

  29. Hirsch, J.E.: An index to quantify an individual’s scientific research output. Proc. Natl. Acad. Sci. 102(46), 16569–16572 (2005). https://doi.org/10.1073/pnas.0507655102

    Article  Google Scholar 

  30. Ihle, C., Trautwein, D., Schubotz, M., Meuschke, N., Gipp, B.: Incentive mechanisms in peer-to-peer networks - a systematic literature review. ACM Comput. Surv. 55(14s), 1–69 (2023). https://doi.org/10.1145/3578581

    Article  Google Scholar 

  31. Ioannidis, J.P.A.: Why most published research findings are false. PLoS Med. 2(8), e124 (2005). https://doi.org/10.1371/journal.pmed.0020124

    Article  Google Scholar 

  32. Jan, Z., Third, A., Ibanez, L.D., Bachler, M., Simperl, E., Domingue, J.: ScienceMiles. In: Companion of the Web Conference 2018 - WWW 2018. ACM Press (2018). https://doi.org/10.1145/3184558.3191556

  33. Janowicz, K., et al.: On the prospects of blockchain and distributed ledger technologies for open science and academic publishing. Semantic Web 9(5), 545–555 (2018). https://doi.org/10.3233/sw-180322

    Article  Google Scholar 

  34. Belluz, J., Plumer, B., Resnick, B.: The 7 biggest problems facing science, according to 270 scientists (2016). https://www.vox.com/2016/7/14/12016710/science-challeges-research-funding-peer-review-process. Accessed 4 April 2024

  35. Kim, M., Chung, J.: Sustainable growth and token economy design: the case of steemit. Sustainability 11(1), 167 (2018). https://doi.org/10.3390/su11010167

    Article  Google Scholar 

  36. Kleinfercher, F., Vengadasalam, S., Lawton, J.: Bloxberg: The blockchain for science (2022). https://bloxberg.org/wp-content/uploads/2022/07/bloxberg_whitepaper_2.0.pdf. Accessed 07 June 2023

  37. Lee, J., Moroso, M., Mackey, T.K.: Unblocking recognition: a token system for acknowledging academic contribution. Front. Blockchain 6 (2023). https://doi.org/10.3389/fbloc.2023.1136641

  38. Medury, L., Ghosh, S.: Decentralized peer-review research solution. In: 2021 12th International Conference on Computing Communication and Networking Technologies (ICCCNT). IEEE (2021). https://doi.org/10.1109/icccnt51525.2021.9579650

  39. Mehta, D.: Highlight negative results to improve science. Nature (2019). https://doi.org/10.1038/d41586-019-02960-3

  40. Nissen, S.B., Magidson, T., Gross, K., Bergstrom, C.T.: Publication bias and the canonization of false facts. eLife 5 (2016). https://doi.org/10.7554/elife.21451

  41. Nosek, B.A., Ebersole, C.R., DeHaven, A.C., Mellor, D.T.: The preregistration revolution. Proc. Natl. Acad. Sci. 115(11), 2600–2606 (2018). https://doi.org/10.1073/pnas.1708274114

    Article  Google Scholar 

  42. Peters, D.P., Ceci, S.J.: Peer-review practices of psychological journals: the fate of published articles, submitted again. Behav. Brain Sci. 5(2), 187–195 (1982). https://doi.org/10.1017/s0140525x00011183

    Article  Google Scholar 

  43. Peterson, J., Krug, J., Zoltu, M., Williams, A.K., Alexander, S.: Augur: a decentralized oracle and prediction market platform (2018). https://doi.org/10.13140/2.1.1431.4563

  44. Polgreen, P.M., Nelson, F.D., Neumann, G.R., Weinstein, R.A.: Use of prediction markets to forecast infectious disease activity. Clin. Infect. Dis. 44(2), 272–279 (2007). https://doi.org/10.1086/510427

    Article  Google Scholar 

  45. Qin, D., Wang, C., Jiang, Y.: RPchain: a blockchain-based academic social networking service for credible reputation building. In: Chen, S., Wang, H., Zhang, L.-J. (eds.) ICBC 2018. LNCS, vol. 10974, pp. 183–198. Springer, Cham (2018). https://doi.org/10.1007/978-3-319-94478-4_13

    Chapter  Google Scholar 

  46. Rahut, S.K., Tanvir, R.A., Rahman, S., Akhter, S.: Scientific paper peer-reviewing system with blockchain, IPFS, and smart contract. In: Advances in Systems Analysis, Software Engineering, and High Performance Computing, pp. 189–221. IGI Global (2019). https://doi.org/10.4018/978-1-5225-9257-0.ch010

  47. Roldan-Valadez, E., Salazar-Ruiz, S.Y., Ibarra-Contreras, R., Rios, C.: Current concepts on bibliometrics: a brief review about impact factor, eigenfactor score, citescore, scimago journal rank, source-normalised impact per paper, h-index, and alternative metrics. Irish J. Med. Sci. (1971 -) 188(3), 939-951 (2018). https://doi.org/10.1007/s11845-018-1936-5

  48. Rosenthal, R.: The file drawer problem and tolerance for null results. Psychol. Bull. 86(3), 638–641 (1979). https://doi.org/10.1037/0033-2909.86.3.638

    Article  Google Scholar 

  49. Ross-Hellauer, T.: What is open peer review? A systematic review. F1000Research 6, 588 (2017). https://doi.org/10.12688/f1000research.11369.2

  50. Sabel, B.A., Knaack, E., Gigerenzer, G., Bilc, M.: Fake publications in biomedical science: red-flagging method indicates mass production (2023). https://doi.org/10.1101/2023.05.06.23289563

  51. Sacco, D.F., Bruton, S.V., Brown, M., Medlin, M.M.: Skin in the game: personal accountability and journal peer review. J. Empir. Res. Hum. Res. Ethics 15(4), 330–338 (2020). https://doi.org/10.1177/1556264620922651

    Article  Google Scholar 

  52. Saito, Y., Rose, J.A.: Reputation-based decentralized autonomous organization for the non-profit sector: leveraging blockchain to enhance good governance. Front. Blockchain 5 (2023). https://doi.org/10.3389/fbloc.2022.1083647

  53. Schaufelbuhl, A., et al.: EUREKA – a minimal operational prototype of a blockchain-based rating and publishing system. In: 2019 IEEE International Conference on Blockchain and Cryptocurrency (ICBC). IEEE (2019). https://doi.org/10.1109/bloc.2019.8751445

  54. Sicard, F.: Can decentralized science help tackle the deterioration in working conditions in academia? Front. Blockchain 5 (2022). https://doi.org/10.3389/fbloc.2022.1066294

  55. Smaldino, P.E., McElreath, R.: The natural selection of bad science. Roy. Soc. Open Sci. 3(9), 160384 (2016). https://doi.org/10.1098/rsos.160384

    Article  MathSciNet  Google Scholar 

  56. Soergel, D., Saunders, A., McCallum, A.: Open scholarship and peer review: a time for experimentation (2013). https://api.semanticscholar.org/CorpusID:14548845

  57. Spearpoint, M.: A proposed currency system for academic peer review payments using the blockchain technology. Publications 5(3), 19 (2017). https://doi.org/10.3390/publications5030019

  58. Sterling, T.D.: Publication decisions and their possible effects on inferences drawn from tests of significance–or vice versa. J. Am. Stat. Assoc. 54(285), 30–34 (1959). https://doi.org/10.1080/01621459.1959.10501497

    Article  Google Scholar 

  59. Tennant, J.P., et al.: A multi-disciplinary perspective on emergent and future innovations in peer review. F1000Research 6, 1151 (2017). https://doi.org/10.12688/f1000research.12037.3

  60. Tenorio-Fornés, Á., Tirador, E.P., Sánchez-Ruiz, A.A., Hassan, S.: Decentralizing science: towards an interoperable open peer review ecosystem using blockchain. Inf. Process. Manag. 58(6), 102724 (2021). https://doi.org/10.1016/j.ipm.2021.102724

    Article  Google Scholar 

  61. Trovò, B., Massari, N.: Ants-review: a privacy-oriented protocol for incentivized open peer reviews on ethereum. In: Balis, B., et al. (eds.) Euro-Par 2020. LNCS, vol. 12480, pp. 18–29. Springer, Cham (2021). https://doi.org/10.1007/978-3-030-71593-9_2

    Chapter  Google Scholar 

  62. Van Noorden, R.: How big is science’s fake-paper problem? Nature 623(7987), 466–467 (2023). https://doi.org/10.1038/d41586-023-03464-x

    Article  Google Scholar 

  63. Vercellini, P., Buggio, L., Viganò, P., Somigliana, E.: Peer review in medical journals: beyond quality of reports towards transparency and public scrutiny of the process. Eur. J. Internal Med. 31, 15–19 (2016). https://doi.org/10.1016/j.ejim.2016.04.014

    Article  Google Scholar 

  64. Wang, T., Liew, S.C., Zhang, S.: PubChain: a decentralized open-access publication platform with participants incentivized by blockchain technology. In: 2020 International Symposium on Networks, Computers and Communications (ISNCC). IEEE (2020). https://doi.org/10.1109/isncc49221.2020.9297213

  65. Ware, M.: Peer review: recent experience and future directions. New Rev. Inf. Netw. 16(1), 23–53 (2011). https://doi.org/10.1080/13614576.2011.566812

    Article  Google Scholar 

  66. Weyl, E.G., Ohlhaver, P., Buterin, V.: Decentralized society: finding web3’s soul. SSRN Electron. J. (2022). https://doi.org/10.2139/ssrn.4105763

    Article  Google Scholar 

  67. Wood, G.: Ethereum: a secure decentralised generalised transaction ledger. Ethereum Project Yellow Paper 151, 1–32 (2014)

    Google Scholar 

  68. Wright, C.S.: Bitcoin: a peer-to-peer electronic cash system. SSRN Electron. J. (2008). https://doi.org/10.2139/ssrn.3440802

    Article  Google Scholar 

  69. Yirka, B.: AI-generated disproportioned rat genitalia makes its way into peer-reviewed journal (2024). https://phys.org/news/2024-02-ai-generated-disproportioned-rat-genitalia.html. Accessed 27 Mar 2024

  70. Zhou, Y., Wan, Z., Guan, Z.: Open-pub: a transparent yet privacy-preserving academic publication system based on blockchain. In: 2021 International Conference on Computer Communications and Networks (ICCCN). IEEE (2021). https://doi.org/10.1109/icccn52240.2021.9522316

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Acknowledgements

Special thanks are extended to our colleague Andreas Marfurt who helped shape significant aspects of the presented solution through discussions and feedback. The authors thank the Federal Government, the Heads of Government of the Länder, as well as the Joint Science Conference (GWK), for their funding and support within the NFDI4Ing and NFDI4DataScience consortia. This work was partially funded by the German Research Foundation (DFG) - project numbers 442146713 and 460234259 and by the TIB - Leibniz Information Centre for Science and Technology.

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Bless, C., Denzler, A., Karras, O., Auer, S. (2024). A Reputation System for Scientific Contributions Based on a Token Economy. In: Antonacopoulos, A., et al. Linking Theory and Practice of Digital Libraries. TPDL 2024. Lecture Notes in Computer Science, vol 15177. Springer, Cham. https://doi.org/10.1007/978-3-031-72437-4_3

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