Abstract
Following Open Science mandates, institutions and communities increasingly demand repositories with native support for publishing scientific literature together with research data, software, and other research products. Such repositories may be thematic or general-purpose and are deeply integrated with the scholarly communication ecosystem to ensure versioning, persistent identifiers, data curation, usage stats, and so on. Identifying the most suitable off-the-shelf repository platform is often a non-trivial task as the choice depends on functional requirements, programming and technical skills, and infrastructure resources.
This work analyses four state-of-the-art Open Source repository platforms, namely Dryad, Dataverse, DSpace, and InvenioRDM, from both a functional and a software perspective. This work intends to provide an overview serving as a primer for choosing repository platform solutions in different application scenarios. Moreover, this paper highlights how these platforms reacted to some key Open Science demands, moving away from the original and old-fashioned concept of a repository serving as a static container of files and metadata.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Notes
- 1.
- 2.
- 3.
- 4.
- 5.
- 6.
- 7.
- 8.
- 9.
- 10.
- 11.
- 12.
- 13.
- 14.
- 15.
- 16.
- 17.
- 18.
- 19.
- 20.
- 21.
References
Rodrigues, E., et al.: Next generation repositories: behaviours and technical recommendations of the COAR next generation repositories working group. Zenodo (2017). https://doi.org/10.5281/zenodo.1215014
Dempsey, L.: Library collections in the life of the user: two directions. LIBER Q.: J. Assoc. Eur. Res. Librar. 26(4), 338–359 (2016). https://doi.org/10.18352/lq.10170
Austin, C., Brown, S., Fong, N., Humphrey, C., Leahey, A., Webster, P.: Research data repositories: review of current features, gap analysis, and recommendations for minimum requirements (Version 0) (2015). https://doi.org/10.29173/iq904
Assante, M., Candela, L., Castelli, D., Tani, A.: Are scientific data repositories coping with research data publishing? Data Sci. J. 15, 6 (2016). https://doi.org/10.5334/dsj-2016-006
Jean-Claude, B., et al.: Open science, open data, and open scholarship: European policies to make science fit for the twenty-first century. Front. Big Data (2) (2019). https://doi.org/10.3389/fdata.2019.00043
RepOSGate: Open Science Gateways for Institutional Repositories, Michele Artini, Leonardo Candela, Paolo Manghi & Silvia Giannini
Jwa, A.S., Poldrack, R.A.: The spectrum of data sharing policies in neuroimaging data repositories. Hum. Brain Mapp. 43(8), 2707–2721 (2022). https://doi.org/10.1002/hbm.25803
Forero, D.A., Curioso, W.H., Patrinos, G.P.: The importance of adherence to international standards for depositing open data in public repositories. BMC Res. Notes 14, 405 (2021). https://doi.org/10.1186/s13104-021-05817-z
Liaw, S.-T., et al.: Quality assessment of real-world data repositories across the data life cycle: a literature review. J. Am. Med. Inform. Assoc. 28(7), 1591–1599 (2021). https://doi.org/10.1093/jamia/ocaa340
Löffler, F., Wesp, V., König-Ries, B., Klan, F.: Dataset search in biodiversity research: do metadata in data repositories reflect scholarly information needs? PLoS ONE 16(3), e0246099 (2021). https://doi.org/10.1371/journal.pone.0246099
Bashir, S., Gul, S., Bashir, S., Nisa, N.T., Ganaie, S.A.: Evolution of institutional repositories: managing institutional research output to remove the gap of academic elitism. J. Librarianship Inf. Sci. 54(3), 518–531 (2022). https://doi.org/10.1177/09610006211009592
Barrueco, J.M., Termens, M.: Digital preservation in institutional repositories: a systematic literature review. Digit. Libr. Perspect. 38(2), 161–174 (2022). https://doi.org/10.1108/DLP-02-2021-0011
Boch, M., et al.: A systematic review of data management platforms. In: Rocha, A., Adeli, H., Dzemyda, G., Moreira, F. (eds.) WorldCIST 2022. LNNS, vol. 469, pp. 15–24. Springer, Cham (2022). https://doi.org/10.1007/978-3-031-04819-7_2
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2023 The Author(s), under exclusive license to Springer Nature Switzerland AG
About this paper
Cite this paper
Bardi, A., Manghi, P., Mannocci, A., Ottonello, E., Pavone, G. (2023). A Primer on Open Science-Driven Repository Platforms. In: Garoufallou, E., Vlachidis, A. (eds) Metadata and Semantic Research. MTSR 2022. Communications in Computer and Information Science, vol 1789. Springer, Cham. https://doi.org/10.1007/978-3-031-39141-5_19
Download citation
DOI: https://doi.org/10.1007/978-3-031-39141-5_19
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-031-39140-8
Online ISBN: 978-3-031-39141-5
eBook Packages: Computer ScienceComputer Science (R0)