2022
Other
Open Access
The open ecosystem of e-infrastructures for data discovery: a review
Bardi A., Kraker P., Juty N., Culina A., Colomb J., Widmann H., Goble C., Hiseni V., Flügel A. -L., Mathiak B., Heger T.
Research data discovery data search open science research data Open ecosystem e-infrastructures
Research data are among the fastest growing openly accessible scientific outputs on the web. While we have made great strides when it comes to accessibility of research data, discoverability is still one of the key challenges for open science: in many ways, we cannot cash the cheques written by this movement, if we do not increase the visibility of research outputs. Many research data discovery services have thus emerged, often embracing the principles of openness. They aim to make data discovery more effective, address new user needs, and exploit new technologies. This paper aims to support the conception and design of such tools by providing a descriptive framework of the current open ecosystem for research data discovery. In this framework we define the building blocks of the ecosystem (actors, roles and features of discovery services), describe how those interact with each other, and how they support the different discovery needs of researchers. We analyse the current practices of research data discovery to identify gaps in both the infrastructure and in users’ research strategy. We further analyse opportunities for innovative solutions to address the crisis of research data discoverability, improve data discovery and contribute to the evolution of the open ecosystem.
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[10]R. C.-19 W. Group, 'RDA COVID-19 Recommendations and Guidelines on Data Sharing', Jun. 2020, doi: 10.15497/rda00052.
[11]B. Kramer and J. Bosman, '400+ Tools and innovations in scholarly communication'. [Online]. Available: http://bit.ly/innoscholcomm-list
[12]L. Bezuidenhout and J. Havemann, 'The varying openness of digital open science tools'. F1000Research, May 17, 2021. doi: 10.12688/f1000research.26615.2.
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[18]A. Jaime, M. A. Osorio-Sanabria, T. Alcántara-Concepción, and P. L. Barreto, 'Mapping the open access ecosystem', The Journal of Academic Librarianship, vol. 47, no. 5, p. 102436, Sep. 2021, doi: 10.1016/j.acalib.2021.102436.
[19]R. Adner, 'Ecosystem as Structure: An Actionable Construct for Strategy', Journal of Management, vol. 43, no. 1, pp. 39-58, Jan. 2017, doi: 10.1177/0149206316678451.
[20]M. A. Phillips and P. Ritala, 'A complex adaptive systems agenda for ecosystem research methodology', Technological Forecasting and Social Change, vol. 148, p. 119739, Nov. 2019, doi: 10.1016/j.techfore.2019.119739.
[21]S. Jansen, 'A focus area maturity model for software ecosystem governance', Information and Software Technology, vol. 118, p. 106219, Feb. 2020, doi: 10.1016/j.infsof.2019.106219.
[22]A. Culina, M. Baglioni, T. W. Crowther, M. E. Visser, S. Woutersen-Windhouwer, and P. Manghi, 'Navigating the unfolding open data landscape in ecology and evolution', Nat Ecol Evol, vol. 2, no. 3, Art. no. 3, Mar. 2018, doi: 10.1038/s41559-017-0458-2.
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[27]'EOSC Glossary', EOSC Portal, Mar. 26, 2019. https://eosc-portal.eu/glossary (accessed Feb. 08, 2022).
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[30]'Introducing eLife's first computationally reproducible article', eLife, Feb. 20, 2019. https://elifesciences.org/labs/ad58f08d/introducing-elife-s-first-computationally-reproduciblearticle (accessed Feb. 08, 2022).
[31]A. Burton et al., 'The Scholix Framework for Interoperability in Data-Literature Information Exchange', D-Lib Magazine, vol. 23, no. 1/2, Jan. 2017, doi: 10.1045/january2017-burton.
[32]A. Chapman et al., 'Dataset search: a survey', The VLDB Journal, vol. 29, no. 1, pp. 251- 272, Jan. 2020, doi: 10.1007/s00778-019-00564-x.
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[34]M. Assante et al., 'Enacting open science by D4Science', Future Generation Computer Systems, vol. 101, pp. 555-563, Dicembre 2019, doi: 10.1016/j.future.2019.05.063.
[35]O. Benjelloun, S. Chen, and N. Noy, 'Google Dataset Search by the Numbers', in The Semantic Web - ISWC 2020, Cham, 2020, pp. 667-682. doi: 10.1007/978-3-030-62466- 8_41.
[36]D. Brickley, M. Burgess, and N. Noy, 'Google Dataset Search: Building a search engine for datasets in an open Web ecosystem', in The World Wide Web Conference, New York, NY, USA, Mai 2019, pp. 1365-1375. doi: 10.1145/3308558.3313685.
[37]K. M. Gregory, H. Cousijn, P. Groth, A. Scharnhorst, and S. Wyatt, 'Understanding data search as a socio-technical practice', Journal of Information Science, vol. 46, no. 4, pp. 459-475, Aug. 2020, doi: 10.1177/0165551519837182.
[38]T. Krämer, A. Papenmeier, Z. Carevic, D. Kern, and B. Mathiak, 'Data-Seeking Behaviour in the Social Sciences', Int J Digit Libr, vol. 22, no. 2, pp. 175-195, Jun. 2021, doi: 10.1007/s00799-021-00303-0.
[39]C. L. Borgman, P. T. Darch, I. V. Pasquetto, and M. F. Wofford, 'Our knowledge of knowledge infrastructures: Lessons learned and future directions', Jun. 2020, Accessed: Feb. 23, 2022. [Online]. Available: https://escholarship.org/uc/item/9rm6b7d4
[40]K. Gregory, P. Groth, A. Scharnhorst, and S. Wyatt, 'Lost or Found? Discovering Data Needed for Research', Harvard Data Science Review, vol. 2, no. 2, Apr. 2020, doi: 10.1162/99608f92.e38165eb.
[41]C. L. Palmer, 'Scholarly work and the shaping of digital access', Journal of the American Society for Information Science and Technology, vol. 56, no. 11, pp. 1140-1153, 2005, doi: 10.1002/asi.20204.
[42]L. M. Koesten, E. Kacprzak, J. F. A. Tennison, and E. Simperl, 'The Trials and Tribulations of Working with Structured Data: -a Study on Information Seeking Behaviour', in Proceedings of the 2017 CHI Conference on Human Factors in Computing Systems, New York, NY, USA, Mai 2017, pp. 1277-1289. doi: 10.1145/3025453.3025838.
[43]T. Friedrich, 'Looking for data', Nov. 2020, doi: 10.18452/22173.
[44]A. Ioannidis, 'Hardening our service', Zenodo Blog, Dec. 07, 2021. https://blog.zenodo.org/2021/12/07/2021-12-07-hardening-our-service/ (accessed Mar. 16, 2022).
[45]P. Kraker, M. Schramm, and C. Kittel, 'Open Knowledge Maps: Visual Discovery Based on the Principles of Open Science', Communications of the Association of Austrian Librarians, vol. 72, no. 2, Art. no. 2, Oct. 2019, doi: 10.31263/voebm.v72i2.3202.
[46]T. Alrashed, D. Paparas, O. Benjelloun, Y. Sheng, and N. Noy, 'Dataset or Not? A Study on the Veracity of Semantic Markup for Dataset Pages', in The Semantic Web - ISWC 2021, Cham, 2021, pp. 338-356. doi: 10.1007/978-3-030-88361-4_20.
[47]D. Kern and B. Mathiak, 'Are There Any Differences in Data Set Retrieval Compared to Well-Known Literature Retrieval?', in Research and Advanced Technology for Digital Libraries, Cham, 2015, pp. 197-208. doi: 10.1007/978-3-319-24592-8_15.
[48]G. Peng et al., 'Global Community Guidelines for Documenting, Sharing, and Reusing Quality Information of Individual Digital Datasets', Data Science Journal, vol. 21, no. 1, Art. no. 1, Mar. 2022, doi: 10.5334/dsj-2022-008.
[49]GO FAIR Discovery IN, 'Manifesto of the Discovery GO FAIR Implementation Network: Open User Interfaces for Increased Visibility of Research Results'. 2019. Accessed: May 12, 2022. [Online]. Available: https://www.go-fair.org/wp-content/uploads/2019/02/GO-FAIRManifesto_-Discovery-final.pdf
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BibTeX entry
@misc{oai:iris.cnr.it:20.500.14243/483321,
title = {The open ecosystem of e-infrastructures for data discovery: a review},
author = {Bardi A. and Kraker P. and Juty N. and Culina A. and Colomb J. and Widmann H. and Goble C. and Hiseni V. and Flügel A. -L. and Mathiak B. and Heger T.},
doi = {10.5281/zenodo.6952904 and 10.5281/zenodo.7468089 and 10.5281/zenodo.6952905},
year = {2022}
}CNR authorsLaboratories
0000-0002-1112-1292
FAIRCORE4EOSC
Core Components Supporting a FAIR EOSC
DICE
Data Infrastructure Capacity for EOSC
D4
Deep Drug Discovery and Deployment
Integration of research literature and data
Integration of research literature and data
KonsortSWD
KonsortSWD
Mechanisms and disturbances in memory consolidation: From synapses to systems
Mechanisms and disturbances in memory consolidation: From synapses to systems
OpenAIRE Nexus
OpenAIRE-Nexus Scholarly Communication Services for EOSC users
Smart Harvesting 2
Smart Harvesting 2
TRIPLE
Transforming Research through Innovative Practices for Linked interdisciplinary Exploration
VENI personal grant
VENI personal grant
