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GOTRIPLE: A User-Centric Process to Develop a Discovery Platform

descriptionPublicationkeyboard_double_arrow_right Article 30 Nov 2020 Italy MDPI AGInformation, volume 11, page 563 (eissn: 2078-2489,

Authors: Suzanne Dumouchel; Emilie Blotière; Gert Breitfuss; Yin Chen; Francesca Di Donato; Maria Eskevich; Paula Forbes; +8 Authors

doi: 10.3390/info11120563

GOTRIPLE: A User-Centric Process to Develop a Discovery Platform

- Summary
- Subjects
- References
  (12)
- Related research
  (1)
- Metrics

Abstract

Social sciences and humanities (SSH) research is divided across a wide array of disciplines, sub-disciplines and languages. While this specialization makes it possible to investigate the extensive variety of SSH topics, it also leads to a fragmentation that prevents SSH research from reaching its full potential. The TRIPLE project brings answers to these issues by developing an innovative discovery platform for SSH data, researchers&rsquo

(3) its multilingual, multicultural and interdisciplinary vocation. These results have been achieved thanks to different methodologies such as a co-design process, market analysis and benchmarking, monitoring and co-building. These preliminary results highlight the need for respecting diversity of practices and communities through coordination and harmonization.

projects and profiles. Having started in October 2019, the project has already three main achievements that are presented in this paper: (1) the definition of main features of the GOTRIPLE platform

(2) its interoperability

Country

Italy

Related Organizations

Subjects by Vocabulary

Microsoft Academic Graph classification: Process (engineering) Computer science Interoperability Market fragmentation Market analysis User-centered design Benchmarking Data science User Research Variety (cybernetics)

Library of Congress Subject Headings: lcsh:T58.5-58.64 lcsh:Information technology

Keywords

user-centric approach, European Open Science Cloud (EOSC), open science, FAIR principles, user research, social sciences and humanities, research data, user-centric approach; user research; social sciences and humanities; open science; European Open Science Cloud (EOSC); FAIR principles; discovery; research data, discovery, Information Systems

12 references, page 1 of 2

1. European Commission. Open Innovation, Open Science, Open to the World: A Vision for Europe; Directorate-General for Research and Innovation, European Commission: Brussels, Belgium, 2016. [CrossRef]

2. OECD. Making Open Science a Reality. In Science, Technology and Industry Policy Papers, 25; OECD Publishing: Paris, France, 2015.

3. De la Fuente, G.B. What Is Open Science? Introduction. Available online: https://www.fosteropenscience.eu/ content/what-open-science-introduction (accessed on 30 September 2020).

4. Wenger, E. Communities of Practice: Learning, Meaning, and Identity; Cambridge University Press: Cambridge, UK, 1998. [CrossRef]

5. Norman, D.A. The psychology of everyday things. In Basic Books; American Psychological Association: Washington, DC, USA, 1988.

6. Edwards, R.; Holland, J. What Is Qualitative Interviewing? A&C Black: London, UK, 2013.

7. Marshall, B.; Cardon, P.; Poddar, A.; Fontenot, R. Does sample size matter in qualitative research? A review of qualitative interviews in IS research. J. Comput. Inf. Syst. 2013, 54, 11-22. [CrossRef]

8. Braun, V.; Clarke, V. Using thematic analysis in psychology. Qual. Res. Psychol. 2006, 3, 77-101. [CrossRef]

9. Forbes, P.; De Paoli, S.; Błaszczyn´ ska, M.; Maryl, M. TRIPLE Deliverable: D3.1 Report on User Needs (Version Draft). Zenodo 2020. [CrossRef]

10. Kensing, F.; Blomberg, J. Participatory design: Issues and concerns. Comput. Supported Coop. Work 1998, 7, 167-185. [CrossRef] [OpenAIRE]

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	popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.	Top 10%
	influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	Top 10%
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	citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	3
	popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.	Top 10%
	influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	Top 10%
	impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.	Average