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Record W6894226315 · doi:10.5281/zenodo.6913361

The European Open Science Cloud (EOSC) and Its Implications for the Digital Humanities and Social Sciences

2022· article· en· W6894226315 on OpenAlexaff

Bibliographic record

VenueZenodo (CERN European Organization for Nuclear Research) · 2022
Typearticle
Languageen
FieldArts and Humanities
TopicDigital Humanities and Scholarship
Canadian institutionsCanarie
FundersHorizon 2020 Framework Programme
KeywordsCloud computingEuropean commissionDigital humanitiesOpen scienceOpen dataEuropean Research AreaSustainabilityDigital preservationCitizen science

Abstract

fetched live from OpenAlex

<strong>Introduction</strong> <em>Frank Fischer</em> The European Open Science Cloud (EOSC), officially launched in November 2018, is an initiative of the European Commission aiming to develop an infrastructure that makes access to scientific data easier and more efficient and is geared towards open science. The planned infrastructure bundles services of different providers and is following a system-of-systems approach. Under the Horizon 2020 framework programme, five cluster projects from the sciences are being funded to connect research communities of different fields to the EOSC. One of these projects is SSHOC – the Social Sciences and Humanities Open Cloud. The five European Research Infrastructure Consortia CESSDA, CLARIN, DARIAH, ESS and SHARE as well as twenty other European partner institutions have come together to connect their communities to the EOSC via SSHOC. In this panel, we will discuss its emerging role for the Digital Humanities and related fields and the different facets needed to design, coordinate and operate this domain-specific infrastructure and cloud. We will have five speakers talk about the following topics: <strong>The SSH Open Marketplace – Contextualised practical knowledge for day-to-day research in the Digital Humanities</strong> <em>Edward Gray</em> Tool directories and discovery portals have a long history in the Digital Humanities. There is a clear demand for them in the community but their sustainability beyond project fundings and their collective maintenance is challenging (Dombrowski, 2019; Edmond, 2016). In the enabling EOSC environment, in which research and data infrastructures find a suitable framework to provide research services, DARIAH, CLARIN and CESSDA are developing the SSH Open Marketplace, accessible at https://marketplace.sshopencloud.eu/, a new take on discovery platforms for tools, services, training materials, datasets and digital workflows (Kálmán et al., 2019). While crowd-based maintenance of content is one of the only ways to ensure the quality of a "social marketplace for services" (Blanke, 2011), the SSH Open Marketplace relies on a set of rewards and incentives and a small, but funded, editorial team in order to avoid pure volunteer work of its contributors. <strong>The Sharing of Services and Data Between SSH Infrastructures</strong> <em>Daan Broeder</em> By sharing infrastructure resources we gain considerable advantages: (1) scaling advantage: increasing the potential use and impact of (expensive) datasets and maximizing the investment needed for developing services and (2) offering SSH researchers new choices and opportunities with regards to data creation and analysis. This concerns not only newly created services and datasets, e.g. the SSH Open Marketplace, but also existing resources which were prepared to serve a wider audience. Within the SSHOC project, a couple of services originally developed for the CLARIN community were generalised to address additional user scenarios and provide new functionalities. Recommendations and tools for creating and managing SSH vocabularies were aligned through an SSH Vocabulary Commons initiative. SSHOC also provided an opportunity for new and emerging communities to discover and investigate what and how already established communities have arranged their infrastructure and what is useful for them. <strong>Data Repository/Service Certification</strong> <em>Mari Kleemola</em> FAIR data (Findable, Accessible, Interoperable, Reusable) is essential for the success of the EOSC but demand for high quality and FAIR data and metadata is global. However, the FAIR principles do not take into account the inevitable changes in the data environment and in the needs of data users. Any digital system that accepts, stores and provides access to data can be termed a 'digital repository' in the broadest sense. Only an organisation that meets clear criteria, including the provision of active long-term preservation measures for a designated community, can be termed a “trustworthy digital repository”. Trustworthy digital repositories play a key role in enabling data to become and remain FAIR over time within all disciplines, including SSH. Reaching FAIRness and Trustworthiness is a journey that requires expertise, investment and cooperation. Many actors and multiple tiers of data storage, protection and preservation are needed to address the long tail of at-risk data and metadata. Setting standards and pass/fail criteria is not sufficient; compliance with trustworthiness standards is best supported by community efforts such as repository certification through CoreTrustSeal, existing coordination networks for digital repositories in disciplinary contexts and other global, regional and national networks. <strong>Technology and Services</strong> <em>Carsten Thiel </em> Research Infrastructures are increasingly digital, providing virtual access to resources at physical places like libraries and archives. Developing the technology that makes this possible is a fundamental part of building modern infrastructures and enabling interdisciplinary research requires interoperability on the technical level. But delivering added value to the researcher requires more than bare technology. In collaboration across disciplines, both within the SSHOC project and the wider EOSC landscape, the focus has shifted towards the service layer, combining tools with training and support into a complete package that addresses end user needs. As domain infrastructures, CESSDA, CLARIN and DARIAH are uniquely positioned between researchers, resources and tools to process them in order to sustainably ensure open research. <strong>EOSC FUTURE – Connecting Scientific Projects to EOSC Core Services</strong> <em>Sally Chambers</em> To connect thematic services to the EOSC basic agnostic components are needed. The EOSC Architecture provides the so-called EOSC-Core layer offering fundamental building blocks such as an AAI (Authentication and Authorization Infrastructure), Helpdesk and Monitoring. By easily integrating these core services, science projects benefit from an interoperable and more stable infrastructural environment. The domain-oriented cluster projects are at the crossroads between agnostic service providers and research communities to overcome the "last mile challenge" (Koureas, 2016) and build mid-level tools and platforms that serve the needs of individual research communities (Lamanna, 2021). <strong>Bibliography</strong> Blanke, Tobias, Michael Bryant, Mark Hedges, Andreas Aschenbrenner, Michael Priddy (2011). Preparing DARIAH. IEEE 7th International Conference on E-Science. IEE Digital Library: Stockholm (pp. 158–165). (doi:10.1109/eScience.2011.30) Broeder, Daan, Willem Elbers, Stefan Buddenbohm, Wolfgang Schmidle, Emanuel Dima, Matej Ďurčo, Cesare Concordia, Maurizio Sanesi, Emiliano Degl'Innocenti (2021). D3.8 Implementation report and available SSHOC Switchboard and VCR services (v1.0). Zenodo. (doi:10.5281/zenodo.5608542) Dombrowski, Quinn, Geoffrey Rockwell (2019). “The Directory Paradox”. Forthcoming in Debates in the Digital Humanities: Institutions, Infrastructures at the Interstices. Univ. of Minnesota Press. Eds. Anne McGrail et al. Edmond, Jennifer, Francesca Morselli (2016). What does it mean to sustain a research infrastructure? Experiences and recommendations from the experience of the CENDARI Project. http://www.cendari.eu/sites/default/files/CENDARI_D2.4%20Sustainability%20Plan%20final%20(2).pdf Kálmán, Tibor, Matej Ďurčo, Frank Fischer, Nicolas Larrousse, Claudio Leone, Karlheinz Mörth, and Carsten Thiel. “A Landscape of Data – Working with Digital Resources within and beyond DARIAH.” International Journal of Digital Humanities 1, no. 1 (April 1, 2019): 113–31. (doi:10.1007/s42803-019-00008-6) Kleemola, Mari, Tuomas J. Alaterä, Niko Koski, Henri Ala-Lahti, Birger Jerlehag, Hervé L'Hours, Franciska De Jong, Dieter Van Uytvanck, Tomasz Parkola, Emiliano Degl'Innocenti, Roberta Giacomi, Maurizio Sanesi, René Van Horik (2020). SSHOC D8.2 Certification plan for SSHOC repositories (v1.0). Zenodo. (doi:10.5281/zenodo.4558303) Koureas, Dimitrios, Christos Arvanitidis, Lee Belbin, Walter Berendsohn, Christian Damgaard et al. (2016). Community engagement: The 'last mile' challenge for European research e-infrastructures. (doi:10.3897/rio.2.e9933) Lamanna, Giovanni, Ian Bird, Andreas Petzold, Ari Asmi, Magdalena Brus, Niklas Blomberg, Rudolf Dimper, Andrew Gotz, Ron Dekker (2021). ESFRI Science Clusters Position Statement on Expectations and Long-Term Commitment in Open Science (1.0). Zenodo. (doi:10.5281/zenodo.4889503)

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies, Scholarly communication
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.953
Threshold uncertainty score0.979

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0590.002
Scholarly communication0.0220.001
Open science0.0020.005
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.163
GPT teacher head0.287
Teacher spread0.124 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designNot applicable
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

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Citations0
Published2022
Admission routes1
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