Between January 2019 and April 2022 SSHOC delivers a series of services and tools for daily use by SSH researchers. All tools will be made available via the SSH Open Marketplace by April 2022.

Scroll down to browse the catalogue. 

 

Dataset of two experiments in the language pairs English-Russian, English-German. The dataset contains linguistic data (Segments translated in different methods) and human data (participants filled in questionnaires). The dataset contains translation versions across different steps of a team translation approach.

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Technological development continues to offer ways of health data collection that go beyond asking survey questions. Such new types of data were collected in the SHARE survey by means of Dried Blood Spot Samples (DBSS) and accelerometer data. These data demand new data protection rules and must often be extensively processed, validated and calibrated before they can be made accessible. SHARE and CentERdata develop a strategy to provide access to such data according to FAIR principles.

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Many different domains lack multilingual terminological resources. Making data and services accessible and usable in SSH is very much a matter of providing terminology across languages and multilingual vocabularies. Shortage of multilingual terminologies and vocabularies represents an obstacle to the access and reuse of information. Using the appropriate vocabularies can greatly improve both discovery and classification. Consequently, for SSHOC, it is important to address this issue with respect to the SSH domain.

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The ADS Guides to Good Practice represent the international standard for archaeological data management best practice. The Guides incorporate the understanding developed around archaeological data from the wide range of EC research projects, and can be a resource within EOSC for SSH data management. 

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A pilot gamification of the CESSDA Data Management Expert Guide that can be used in the SSH and beyond, among partners and the wider EOSC ecosystem. The gamification service should be applicable for other tools which will be made clear once the gamification platform is built. SSHOC LoD (League of Data) platform shall support and motivate researchers to publish their research data, by providing guidance for the publishing process. Researchers will be able to test their knowledge, run a checklist on their Data Management Plan and data publishing, and get in touch with peers. To increase the attractiveness of sharing data, the LoD will implement gamification mechanisms and elements.

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Surveycodings offers a host of social science codings measuring individual and socio-economic variables. The developed tools consist of a multilingual repository containing questionnaires, data collection tools, and coding frames based on standard statistical classifications covering a large number of countries.

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The Automatic Verification Tool (AVT) enables the user to verify translations using Bilingual Word Embeddings and to report to the translators a set of translated questions to be re-checked.

The AVT imports the questions and make use of a trained Bilingual Word Embeddings model. It generates the 10 best foreign language translations of each English word.

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SSHOC promotes trust and quality assurance by supporting data repositories in their journey to CoreTrustSeal certification.

Fourteen data repositories were selected for certification support through an open call between June and August 2020.

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A package of training resources and exercises bundled together with guidelines for setting up a training intervention, and a standard evaluation form - for use at Train-the-Trainer bootcamps and in building cross-disciplinary cooperation within a shared framework. 

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The Trainers Directory is a pool of qualified and experienced trainers in the fields of Social Sciences and Humanities that are enthusiastic to bring people that require training to the next level of their expertise in a specific domain.

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The Audio Survey Experiment provides guidelines describing how to integrate the collection of digital language data into the traditional social sciences data collection process and provides audio transcript data which can be analysed with the help of natural language processing tools.

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