PERSISTENT IDENTIFIERS AS INFRASTRUCTURE FOR OPEN SCIENCE
AN EMERGING PERSPECTIVE ON DIGITAL ECOSYSTEMS
Keywords:
persistent identifiers, open science, informational infrastructure, gital ecosystemsAbstract
The consolidation of Open Science has expanded the role of informational infrastructures in the production, circulation, and preservation of scientific knowledge, assigning persistent identifiers an increasingly central position in this ecosystem. This research investigates how the scientific literature has discussed the role of persistent identifiers in the context of Open Science through an exploratory literature review. A total of 342 records were retrieved from the Web of Science and Scopus databases, of which 125 formed the final corpus after screening. The analysis adopted an inductive strategy, resulting in the organization of studies into seven thematic macro-axes, discussed in three analytical blocks: conceptual and infrastructural foundations; articulation with FAIR principles, FAIR Digital Objects, and scientific workflows; and dimensions of governance, institutionalization, and scholarly communication. The results show that persistent identifiers have been progressively repositioned in the literature, from technical solutions to the problem of digital reference instability to structural components of complex sociotechnical infrastructures, whose effectiveness depends on institutional arrangements, governance models, and coordinated practices among actors in the scientific ecosystem. The study contributes to an integrated understanding of persistent identifiers as transversal infrastructure of Open Science, highlighting convergences, emphases, and analytical gaps in the literature.
References
BARDI, Alessia; MANGHI, Paolo; MANNOCCI, Andrea; OTTONELLO, Enrico et al. A primer on open science-driven repository platforms. In: GAROUFALLOU, Emmanouel; VLACHIDIS, Andreas (ed.). Metadata and semantic research. Cham: Springer Nature Switzerland, 2023. p. 222-234. (Communications in Computer and Information Science, v. 1789). Disponível em: https://link.springer.com/chapter/10.1007/978-3-031-39141-5_19. Acesso em: 10 fev. 2026.
BROWN, Josh; DEMERANVILLE, Tom; MEADOWS, Alice. Open access in context: connecting authors, publications and workflows using ORCID identifiers. Publications, Basel, v. 4, n. 4, p. 1-8, set. 2016. Disponível em: https://www.mdpi.com/2304-6775/4/4/30. Acesso em: 10 fev. 2026.
BUNAKOV, Vasily. Open science portal based on knowledge graph. In: DATA ANALYTICS AND MANAGEMENT IN DATA INTENSIVE DOMAINS, 2020, Voronezh. Anais [...]. Aachen: CEUR-WS, 2020. p. 134-141. (CEUR Workshop Proceedings, v. 2790). Disponível em: https://ceur-ws.org/Vol-2790/paper13.pdf. Acesso em: 4 fev. 2026.
COORDENAÇÃO DE APERFEIÇOAMENTO DE PESSOAL DE NÍVEL SUPERIOR (Brasil). Guia de interoperabilidade da pós-graduação. Brasília, DF: CAPES, 2025. Disponível em: https://sucupira.capes.gov.br/guia-de-interoperabilidade/introducao/guia-pratico. Acesso em: 11 set. 2026.
DAPPERT, Angela; FARQUHAR,Adam; KOTARSKI, Rachael; HEWLET, Kirstie. Connecting the persistent identifier ecosystem: building the technical and human infrastructure for open research. Data Science Journal, Londres, v. 16, p. 28-44, jun. 2017. Disponível em: https://datascience.codata.org/articles/dsj-2017-028. Acesso em: 10 fev. 2026.
FECHER, Benedikt; FRIESIKE, Sascha. Open science: one term, five schools of thought. In: BARTLING, Sönke; FRIESIKE, Sascha (ed.). Opening science: the evolving guide on how the internet is changing research, collaboration and scholarly publishing. Cham: Springer, 2014. p. 17-47. Disponível em: https://link.springer.com/chapter/10.1007/978-3-319-00026-8_2. Acesso em: 17 out. 2025.
FERGUSON, Christine; McENTRYE, Jo; BUNAKOV, Vasily; LAMBERT, Simon et al. D3.1 survey of current PID services landscape: revised. [S. l.]: Zenodo, 2019. Disponível em: https://doi.org/10.5281/zenodo.3554254. Acesso em: 11 set. 2026.
GALVÃO, Maria Cristiane Barbosa; RICARTE, Ivan Luiz Marques. Revisão sistemática da literatura: conceituação, produção e publicação. LOGEION: Filosofia da Informação, Rio de Janeiro, v. 6, n. 1, p. 57-73, set. 2019. Disponível em: https://revista.ibict.br/fiinf/article/view/4835. Acesso em: 27 jan. 2026.
GOULD, Maria. People, places, and things: persistent identifiers in the scholarly communication landscape. College & Research Libraries News, Chicago, v. 83, n. 9, p. 398-402, 2022. Disponível em: https://crln.acrl.org/index.php/crlnews/article/view/25638/33548. Acesso em: 10 fev. 2026.
HAAK, Laurel L. Persistent identifiers can improve provenance and attribution and encourage sharing of research results. Information Services & Use, Amsterdam, v. 34, n. 1-2, p. 93-96, 2014. Disponível em: https://content.iospress.com/articles/information-services-and-use/isu140736. Acesso em: 20 jun. 2026.
KLUMP, Jens et al. Scaling identifiers and their metadata to gigascale: an architecture to tackle the challenges of volume and variety. Data Science Journal, Londres, v. 22, p. 1-17, mar. 2023. Disponível em: https://datascience.codata.org/articles/dsj-2023-005. Acesso em: 4 fev. 2026.
KUNZE, John A. A metadata kernel for electronic permanence. Journal of Digital Information, [s. l.], v. 2, n. 2, p. 1-10, jan. 2002. Disponível em: https://jodi-ojs-tdl.tdl.org/jodi/article/view/jodi-38. Acesso em: 4 fev. 2026.
KUNZE, John A. et al. Persistence statements: describing digital stickiness. Data Science Journal, Londres, v. 16, p. 1-11, ago. 2017. Disponível em: https://datascience.codata.org/articles/dsj-2017-039. Acesso em: 4 fev. 2026.
MACGREGOR, George; LANCHO-BARRANTES, Barbara S.; PENNINGTON, Diane Rasmussen. Measuring the concept of PID literacy: user perceptions and understanding of PIDs in support of open scholarly infrastructure. Open Information Science, Berlin, v. 7, n. 1, art. 20220142, mar. 2023. Disponível em: https://www.degruyterbrill.com/document/doi/10.1515/opis-2022-0142/html. Acesso em: 22 jan. 2026.
PIWOWAR, Heather et al. The state of OA: a large-scale analysis of the prevalence and impact of open access articles. PeerJ, [s. l.], v. 6, art. e4375, p. 1-23, fev. 2018. Disponível em: https://peerj.com/articles/4375/. Acesso em: 13 nov. 2025.
PLOMP, Esther. Going digital: persistent identifiers for research samples, resources and instruments. Data Science Journal, Londres, v. 19, p. 1-8, dez. 2020. Disponível em: https://datascience.codata.org/articles/dsj-2020-046. Acesso em: 10 fev. 2026.
PRAETZELLIS, Maria et al. A programmatic and scalable approach to making data management machine-actionable. Data Science Journal, Londres, v. 22, p. 1-9, ago. 2023. Disponível em: https://datascience.codata.org/articles/10.5334/dsj-2023-026. Acesso em: 4 fev. 2026.
ROSEN, Isabel Abedrapo; SÁNCHEZ-NÚÑEZ, Pablo; BELMAR, Ricardo Hartley. Open science governance: the role of persistent identifiers and metadata standards. [S. l.]: OSF Preprints, out. 2025. Preprint. Disponível em: https://osf.io/preprints/osf/9h564_v3. Acesso em: 22 jan. 2026.
SCHWARDMANN, Ulrich. Digital objects – FAIR digital objects: which services are required? Data Science Journal, Londres, v. 19, p. 1-6, 2020. Disponível em: https://datascience.codata.org/articles/dsj-2020-015. Acesso em: 4 fev. 2026.
SEGUNDO, Washington et al. dARK: a decentralized blockchain implementation of ARK persistent identifiers (1.0). [S. l.]: Zenodo, 2022. Disponível em: https://doi.org/10.5281/zenodo.7442743. Acesso em: 11 set. 2026.
SILVA, Fabiano Couto Corrêa da; SILVEIRA, Lúcia da. O ecossistema da ciência aberta. Transinformação, Campinas, v. 31, art. e190001, 2019. Disponível em: https://www.scielo.br/j/tinf/a/dJ89vRg94Qxtf6Y7M49Hztr/?lang=pt. Acesso em: 13 nov. 2025.
SILVEIRA, Marcos da; PRUSKI, Cédric. Persistent identifiers and their limitations in a dynamic web. In: INTERNATIONAL CONFERENCE ON SEMANTIC SYSTEMS (SEMANTICS), 18., 2022, Viena. Anais [...]. Aachen: CEUR-WS, 2022. p. 1-6. (CEUR Workshop Proceedings, v. 3235). Disponível em: https://ceur-ws.org/Vol-3235/paper24.pdf. Acesso em: 4 fev. 2026.
WEIGEL, Tobias; KINDERMANN, Stephan; LAUTENSCHLAGER, Michael. Actionable persistent identifier collections. Data Science Journal, [s. l.], v. 12, p. 191-206, jan. 2014. Disponível em: https://datascience.codata.org/articles/dsj.12-058. Acesso em: 4 fev. 2026.
WILKINSON, Mark D.; DUMONTIER, Michel; AALBERSBERG, IJsbrand Jan; APPLETON, Gabrielle et al. The FAIR guiding principles for scientific data management and stewardship. Scientific Data, [s. l.], v. 3, art. 160018, mar. 2016. Disponível em: https://www.nature.com/articles/sdata201618. Acesso em: 4 fev. 2026.
WITTENBURG, Peter. From persistent identifiers to digital objects to make data science more efficient. Data Intelligence, Cambridge, MA, v. 1, n. 1, p. 6-20, jun. 2019. Disponível em: https://direct.mit.edu/dint/article/1/1/6/9975/From-Persistent-Identifiers-to-Digital-Objects-to. Acesso em: 22 jan. 2026.