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dharma.hypotheses.org; This blog post is a synthesis of the papers given by the members of the DHARMA project during the international symposium "Regards sur l'autre, regards de l'autre" organised by GREI in November 2022.

Heritage Sciences, i.e. the application of scientific experimental methods to the analysis of cultural heritage artefacts, produces a large quantity of numeric data that are only loosely related to the cultural object to which the analyses were applied. The lack of standard data models for the different technologies employed makes interoperability between datasets almost impossible. On the other hand, the same cultural objects and activities on them (studies, interventions, etc.) are documented in textual documents usually with very basic metadata. This situation requires the intervention of a human to link the documentation of scientific analyses to the documentation of the cultural object, e.g. chemical analyses and physical to a study by an art historian; this in the end prevents data re-use and data-driven research. Learn more

This paper describes the organization and the results of the second edition of EvaLatin, the campaign for the evaluation of Natural Language Processing tools for Latin. The three shared tasks proposed in EvaLatin 2022, i. e. Lemmatization, Part-of-Speech Tagging and Features Identification, are aimed to foster research in the field of language technologies for Classical languages. The shared dataset consists of texts mainly taken from the LASLA corpus. More specifically, the training set includes only prose texts of the Classical period, whereas the test set is organized in three sub-tasks: a Classical sub-task on a prose text of an author not included in the training data, a Cross-genre sub-task on poetic and scientific texts, and a Cross-time sub-task on a text of the 15th century. The results obtained by the participants for each task and sub-task are presented and discussed.

The report collects and analyses the documentation on CH digitization and identification of cutting-edge technologies, with a focus on 3D digitisation. It explores the actual advancement in the field, proposing an attempt of a common workflow for the lifecycles a 3D resource.

This is a static version of the Database of Machine Vision in Art, Games and Narratives, which was originally developed as a Drupal 9 database as part of the ERC project Machine Vision in Everyday Life: Playful Interactions with Visual Technologies in Digital Art, Games, Narratives and Social Media. The static version consists of HTML and CSS files that can either be downloaded, or viewed in a web browser at https://machinevisionuib.github.io. To view the website in your browser, select GitHub-pages from the Environments section in the right hand menu of the Github repository, then select View deployment. The static version is intended as a permanent archive of the database. It does not have the search functionality of the database, but is more portable and durable, and will still be accessible after the database itself is no longer maintained. We plan to maintain the original database until at least July 2023. Data from the database is also available as a dataset consisting of csv files and documentation: Rettberg, Jill Walker; Kronman, Linda; Solberg, Ragnhild; Gunderson, Marianne; Bjørklund, Stein Magne; Stokkedal, Linn Heidi; de Seta, Gabriele; Jacob, Kurdin; Markham, Annette, 2022, "A Dataset Documenting Representations of Machine Vision Technologies in Artworks, Games and Narratives", https://doi.org/10.18710/2G0XKN, DataverseNO, V1 This project has received funding from the European Research Council (ERC) under the European Union's Horizon 2020 research and innovation programme (grant agreement No 771800).

Crosswalks of DDI Codebook to DC Terms, DataCite 4.4, DCAT-AP 2, schema.org and DIF10. Produced as a part of the Social Science and Humantities Open Cloud (SSHOC) project. Conversions using xslt are available here: https://github.com/MetadataTransform/ddi-xslt

The Ethnic and Migrant Minorities Survey Question Data Bank (EMM QDB)–which has been co-produced by COST Action 16111-ETHMIGSURVEYDATA, the SSHOC (Social Sciences and Humanities Open Cloud) project, and the FAIRETHMIGQUANT project–is a free online service dedicated to questionnaires used in quantitative surveys undertaken with ethnic and migrant minority (EMM) respondents. The EMM QDB collection can be accessed at https://ethmigsurveydatahub.eu/emmqdb/. To find the EMM QDB collection on the Centre de Données Socio-Politiques (CDSP) of Sciences Po's Colectica Portal, go to the Series entitled, 'Ethnic and Migrant Minorities Survey Question Data Bank Collection.' Users of the EMM QDB will be able to discover and learn about the different questionnaires, including their specific questions, using the 'Search' and 'Explore' functions of the CDSP's Colectica Portal. The EMM QDB is currently in a pilot version. This means that it will only cover questionnaires from surveys that: (1) are covered by the EMM Survey Registry (https://ethmigsurveydatahub.eu/emmregistry/), (2) study the topic of social ties and civic participation; and (3) have been conducted in Croatia, France, Germany, Hungary, Italy, the Netherlands, Norway, Spain, Switzerland, and/or the UK.** **Countries outside of these 10 countries may be included in the pilot version of the EMM QDB. This would occur if a country was a participant of a cross-country survey that meets the aforementioned inclusion criteria of the pilot version.

This 4CH internal report describes the archaeological applications of 3D modelling, including research, valorisation and conservation of archaeological assets and finds.

The social sciences and humanities (SSH) encompasses researchers with roots in very diverse domains and methodological frameworks, from heritage researchers documenting work with 3D digital objects to interdisciplinary social researchers seeking new modes to analyse existing sources, to name but a few. In the digital age, new insights and ground-breaking research increasingly relies on powerful, tailored tools and environments for research within and across disciplines. This is where the Social Sciences and Humanities Open Cloud project comes into play by driving collaboration between various research infrastructures RIs and communities across apparently disparate domains. SSHOC has demonstrated that with smart interoperability guidelines and matching thematic service provision with the requirements and standards of the wider SSH domain. From this sea change, a cluster serving a larger use base with tools, services and workflows meeting the needs of multidisciplinary research agendas is born. Such a cluster is a key precondition for the emergence of a landscape that enables and supports collaboration across disciplinary boundaries, where each research infrastructure in SSHOC is making the commitment towards a more FAIR ecosystem for research with a high level of interoperability with the European Open Science Cloud. Researchers from all over Europe and beyond can now easily compare multiple catalogues of data as key to broadening their research, enabling and enhancing a multidisciplinary approach beyond their specific field. From art (IPERION-HS) to history (CESSDA & CLARIN), from literature (CLARIN & DARIAH) to social science and economics (ESS and SHARE), this rich and user-friendly SSH data hub, created by SSHOC, marks a fundamental first step in building the integrated European Open Science Cloud (EOSC). As such, it serves researcher’s needs, unites communities and helps them tackle global challenges, while contributing to excellent research and open science within Europe and beyond. This SSHOC Legacy booklet covers the main outcomes of this journey, marking a major step towards the exploitation of tools and services during the project’s funding lifecycle and from there the path towards sustainability. The first part showcases the work performed by SSHOC partners to achieve its open, fair multidisciplinary approach. The second part covers all the 33 Key Exploitable Results that underpin exploitation and sustainability, with each factsheet offering an overview of the results, how to use them and where to access them.

Methods of classfication play a central role in archaeology. The tutorial_complete_ENG.html offers an introduction into classification in general, distance measures for data on all levels of measurement, hierarchical clustering with different linking methods, k-means clustering, hdbscan clustering and the silhouette validation method. All examples are developed using real life archaeological data from the archdata package. The tutorial aims at archaeologists familiar with the scripting language R, but can be also gainfully read by those who wish to apply the methods in another software. Please download the html and open it with a browser of your choice. Klassifikator.zip comprises the complete working compendium of the tutorial, which can also be found under https://gitlab.com/oliver.nakoinz/klassifikator. This tutorial is a result of the winter school "KlassifikatoR" that took place 09th - 12th March 2020. It was organised by Oliver Nakoinz at the Christian-Albrechts-University in Kiel and the Johanna Mestorf Academy and funded by Perle. During the winter school basic knowledge of distance matrices and different cluster analyses was taught by Oliver Nakoinz, Sophie Schmidt, Georg Roth and Martin Hinz (presentations can be found in the folder ./6praes). The participants also learned git and RMarkdown to be able to develop teaching materials together, which can be shared further. This long-term aim of the winter school has been achieved with the release of the tutorial. We encourage anyone interested to take a look at the underlying Rmarkdown file (to be found in ./5tutorial) as well. Feedback is appreciated! Please either start an issue here: https://gitlab.com/oliver.nakoinz/klassifikator or write an e-mail to any of the authors.