• DARIAH EU
• Publicationsclose
• Research dataclose
• Research softwareclose
• Other research productsclose
• COVID-19 close

This repository contains data on COVID-19 epidemics in the Russian Federation from 2020-01-31 through 2023-05-15. The dataset is based on a range of sources. The very first cases were collected from the news reports. Since 2020-03-05 the data were manually extracted from the official reports published by Rospotrebnadzor (Federal Service for Surveillance on Consumer Rights Protection and Human Wellbeing / Russia) at its own website. From 2020-04-09 on, Rospotrebnadzor reports were available in machine-readable formats (a regular HTML table and then, from 2020-04-29, as a JSON string) at the "Стопкоронавирус.рф" (Stopkoronavirus) web portal on a daily basis through 2023-05-15, when the reporting scheme was changed from daily to weekly reports. For all days, the data contain numbers for confirmed COVID-19 cases, recovered from COVID-19, and COVID-19-associated deaths by regions. From 2021-10-17 on, it also contains numbers of vaccinated against COVID-19, and, from 2022-01-25 on, of the COVID-19-associated hospitalizations. The scripts needed to load the data into the R environment and to produce derived statistics and infographics as well as examples of infographics and an extended assessment of the data quality are also provided.

The aim of T6.5 activities was to provide targeted training events to the SSH community in the form of workshops and webinars. The aim of the events was to maximize the uptake of SSHOC resources and to promote data-driven and cross-disciplinary research directions. Targeted training webinars aimed to complement training workshops. This report concerns training webinars which were conceived as thematically narrower and shorter online events that would precede or follow the workshops, while the workshops were conceptualized as comprehensive and immersive training sessions. Because of their online format, the webinars were highly inclusive since the attendance was possible for a great variety of individuals who for different reasons would be unable to attend the in-person events, and consequently, greatly expanded the outreach of SSHOC outcomes. Given the training design in the form of workshop- webinar pairs and the fact that most of the workshops were, like webinars, delivered online, the organisation of the events largely overlapped. In order to provide a concise report on the work done in SSHOC Task 6.5, this deliverable gives a detailed account of the webinars delivered, while for all other aspects that concern training workshops, please refer to Deliverable 6.14 Report on Training Workshops (Pahor de Maiti & Fišer, 2022). The nine targeted training webinars listed below were organised from March 2019 to December 2021 and followed six thematic clusters: Data Science for the Social Sciences and Humanities 1.1. Hands-on Tutorial on Transcribing Interview Data (03/2019) 1.2. Sharing Datasets of Pathological Speech (10/2020) Data Science for Heritage Science 2.1. Use and Re-Use of Scientific Data in Archaeology and Heritage (04/2020) Data Protection and the General Data Protection Regulation 3.1. GDPR and the DARIAH ELDAH Consent Form Wizard (10/2020) Data Stewardship and Research Data Management 4.1. Tools and Resources for FAIR Data (05/2020) 4.2. Introducing the Newly Launched Ethnic and Migrant Minority Survey Registry (10/2020) Data Citation 5.1. FAIR SSH Data citation: Practical Guide (12/2021) Text Mining for the Social Sciences and Humanities 6.1. Quanlify With Ease: Combining Quantitative and Qualitative Corpus Analysis (04/2020) 6.2. SSHOC'ing Drama in the Cloud: the Added Value of SSHOC/CLARIN Services (06/2021) The webinars usually lasted for an hour and consisted of presentations and a moderated questions and answers sessions at the end. Special care was taken in the preparation of the program and moderation of the live stream in order to ensure an engaging experience for the participants. The webinars were attended live by 638 people, that is 70 participants per webinar on average. Additional outreach was gained through playbacks of the recordings, published on the SSHOC YouTube channel,1 which have so far accounted for another 1127 views (data obtained on 28/02/2022). In total, the webinars reached 1765 people. Thanks to the online format, the webinars attracted a very diverse audience with regard to participants’ geographical location (on average 25 countries were represented at each webinar). Training webinars successfully reached its key target groups which included researchers, research performing institutions and research libraries, but the webinars were also followed by other stakeholders identified as relevant for SSHOC (e.g. research infrastructures, private sector, or civil society). The webinars were followed by a blogpost, furthermore presentations slides and recordings were uploaded to SSHOC channels for future use. When relevant, lessons learned about the organisation of webinars were informally shared with other SSHOC members in order to contribute to knowledge sharing about impactful online training events. Training webinars proved to be a cost- and time-efficient training format which was warmly welcomed by user communities. The attendance numbers and the feedback show that the webinars addressed current topics, successfully engaged with diverse user communities and established collaborations between speakers that extend beyond the SSHOC project. Due to the online format, webinars were highly accessible to a great variety of individuals regardless of their background, geographical location, family situation, work duties, and career level. Despite the virtual fatigue due to the COVID-19 pandemic, these training webinars managed to attract a high number of participants and covered a wide variety of topics which were intertwined with other efforts realised within SSHOC. The webinars thus crucially contributed to one of the main SSHOC objectives—empowering individuals to maximise data re-use through Open Science and FAIR principles. Approved by EC - 04 May 2022

Il patrimonio culturale rappresenta un settore strategico per lo sviluppo della società, dell'economia e del lavoro. Una dimensione essenziale della gestione e della fruizione del patrimonio culturale è il processo della sua digitalizzazione. Accanto al patrimonio culturale esiste ormai un patrimonio culturale digitale che ne garantisce la conservazione, la diffusione e la valorizzazione. Le nuove tecno-logie hanno trasformato l'organizzazione di musei, gallerie, siti d'arte e siti archeologici. Queste stesse tecnologie hanno consentito la diffusione e l'operabilità a livello internazionale di infrastrutture digitali di informazione e ricerca. La digitalizzazione ha consentito ai luoghi della cultura di sperimentare nuovi legami, con i territori e con i cittadini, già dall'inizio degli anni 2000 e soprattutto a seguito del lockdown imposto dalla pandemia da Covid 19. Le tante attività di digitalizzazione volte a valorizzare i beni culturali richiedono sia co-noscenze umanistiche che scientifiche. Da un lato, esse implicano la creazione di realtà virtuali e modellizzazioni per una diversa e più profonda conoscenza, dall'altro lato, richiedono l'uso dell'intelligenza artificiale e dei big data per ricostruire il passato delle culture o per conoscere i flussi turistici nei siti d'arte. Anche le professioni, le competenze ed i percorsi formativi legati alla digitalizzazione dei beni culturali nascono dalle interazioni tra sistemi fisici e sistemi virtuali, da conoscenze ed esperienze di diversa natura.

The Levada Center has been conducting omnibus surveys of the Russian population on a regular basis. This data collection includes questions related to the COVID-19 pandemic and related health measures (plus socio-demographic and political data) from 17 opinion polls conducted from February 2020 to February 2022.<br><br>The documentation of data collection documents the questions included in the dataset and provides information about the random-sample questionnaire-based nationally representative polls conducted as omnibus surveys. The original data file is in Russian, but the documentation file lists all questions and answer options with an English translation.<br><br>Included in this data collection are the relevant questions from the Levada omnibus surveys copied into one file. The SPSS file (.sav) is the original file provided by the Levada Center. It has been exported into an Excel file. The content of the respective xlsx-file should be identical with the original sav-file.

This repo was created to keep records of the COVID-19 epidemics in St. Petersburg, Russia. The datasets are based on a range of sources: the official reports published by Rospotrebnadzor (Federal Service for Surveillance on Consumer Rights Protection and Human Wellbeing / Russia), Rosstat (Federal State Statistics Service / Russia), and local authorities (St. Petersburg government, Interdepartmental City Council for Prevention of the Spread of a New Coronavirus Infection (COVID-19) in St. Petersburg), and open data resulted from an original research by Yandex N.V.

This data collection offers representative polls of the Ukrainian population in the early summer of 2019, 2020 and 2021 related to health issues and the functioning of the public healthcare system (including the COVID-19 pandemic). The polls were organised by the Ilko Kucheriv Democratic Initiatives Foundation (DIF) and conducted by the Razumkov Centre. <br>The polls were conducted as omnibus surveys. This data collection contains only those questions which are related to healthcare plus basic questions related to socio-demographic and political indicators. The relevant questions of each poll are reproduced in the original Ukrainian wording in the "Documentation of Data Collection". The SPSS files and the Excel files with the raw data contain the English translation on the variables sheet.