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OstData is a research data service for Central, East, and Southeast European Studies. Based on its fine-grained metadata schema and faceted classification system, the research data repository and discovery system enables interdisciplinary collaboration as opportunity and fosters networking of national and international research communities, research infrastructures, and funders.

This contribution demonstrates a metadata-based approach to analyzing user networks of a German-language fanfiction website. Initially divided into clusters based on louvain modularity, the network is further modified to reveal the level of mutual interaction between reader-writers. The links are then categorized by various attributes, including genre and age restriction.

The goal of this project is to create structured metadata for the Women Film Pioneers Project (WFPP), enrich it with authority data, and link it in a sustainable way to other datasets on women film pioneers. The poster outlines the methodological approach of the project and presents preliminary results.

Computational analysis that demonstrates biased representationsrelated to ethnicities has been widely covered in literature(see, for example, Garg et al. 2018, Tripodi et al. 2019, Lucy etal. 2020). Previous research in computational approaches has revealeddiachronic change of concepts in general (Tahmasebi et al.2018) and for the representation of antisemitism, in particular (Tripodiet al. 2019). However, literature that shows how local representationsof ethnic minorities change through contexts revealedin museum catalogues and metadata, how they are tagged, contextualisedand processed through museum databases, and consequentlywhat kind of knowledge is produced and/or retrieved, isrelatively scarce. In this paper we demonstrate how conceptual representationsrelated to Jews and Armenians fluctuate, dependingon where contexts related to these ethnic minorities are produced.The aim of this paper is to show how the analysis of museumcatalogues and online museum collections can reveal the differenceover geographic areas in dominating attitudes and multipleperspectives in the perception of minority cultures. We comparesearch results related to Jews and Armenians for the British Museumin London and the State Historical Museum in Moscow.The museums were chosen as they both represent an ‘imperial archive’(Barringer and Flynn 1998, p. 11, Khazanov 2000), theyhave collections that include multiple historical objects and theyare both located in capital cities for the two countries.Their onlinedigital collections produce sufficient results to analyse the representationof minorities and the perspectives of these two majormemory institutions on what is deemed an ethnic minority.

This hands-on half-day tutorial aims to explore the potential of the ParlaMint corpora – openly available collections of parliamentary records, which are uniformly sampled, annotated and rich in individual speaker and institutional group metadata. We show how the resource facilitates research into specific European parliaments and allows for transnational comparisons.

This poster presents 'First-Hand Accounts of War: War letters (1935-1950) from NIOD digitized' and reflects on how an interdisciplinary team at the intersection of archival science, history, and digital humanities collaborated in transforming 'paper archives' into enriched digital datasets of historical war correspondence.

This paper demonstrates the power of the 'Environmental Scan': a new approach to newspaper collections using nineteenth-century reference works to leverage powerful contextual information. Our method uses British collections, but could be replicated for other nations, and was made possible by a radical collaboration between librarians, historians and data scientists.

The data within collections from all Digital Humanities fields must be trustworthy. To this end, both provenance and change-tracking systems are needed. This contribution offers a systematic review of the metadata representation models for provenance in RDF, focusing on the problem of modelling conjectures in humanistic data., Comment: 10 pages, 2 figures, submitted to the ADHO Digital Humanities Conference 2023

The Pathosystems Resource Integration Center (PATRIC, www.patricbrc.org) is designed to provide researchers with the tools and services that they need to perform genomic and other ‘omic’ data analyses. In response to mounting concern over antimicrobial resistance (AMR), the PATRIC team has been developing new tools that help researchers understand AMR and its genetic determinants. To support comparative analyses, we have added AMR phenotype data to over 15 000 genomes in the PATRIC database, often assembling genomes from reads in public archives and collecting their associated AMR panel data from the literature to augment the collection. We have also been using this collection of AMR metadata to build machine learning-based classifiers that can predict the AMR phenotypes and the genomic regions associated with resistance for genomes being submitted to the annotation service. Likewise, we have undertaken a large AMR protein annotation effort by manually curating data from the literature and public repositories. This collection of 7370 AMR reference proteins, which contains many protein annotations (functional roles) that are unique to PATRIC and RAST, has been manually curated so that it projects stably across genomes. The collection currently projects to 1 610 744 proteins in the PATRIC database. Finally, the PATRIC Web site has been expanded to enable AMR-based custom page views so that researchers can easily explore AMR data and design experiments based on whole genomes or individual genes.

Tuberculosis (TB) remains one of the most serious infectious diseases in the world and the rate of new cases continues to increase. The development of cheap and simple methodologies capable of identifying TB causing agents belonging to the Mycobacterium tuberculosis Complex (MTBC), at point-of-need, in particular in resource-poor countries where the main TB epidemics are observed, is of paramount relevance for the timely and effective diagnosis and management of patients. TB molecular diagnostics, aimed at reducing the time of laboratory diagnostics from weeks to days, still require specialised technical personnel and labour intensive methods. Recent nanotechnology-based systems have been proposed to circumvent these limitations. Here, we report on a paper-based platform capable of integrating a previously developed Au-nanoprobe based MTBC detection assay—we call it “Gold on Paper”. The Au-nanoprobe assay is processed and developed on a wax-printed microplate paper platform, allowing unequivocal identification of MTBC members and can be performed without specialised laboratory equipment. Upon integration of this Au-nanoprobe colorimetric assay onto the 384-microplate, differential colour scrutiny may be captured and analysed with a generic “smartphone” device. This strategy uses the mobile device to digitalise the intensity of the colour associated with each colorimetric assay, perform a Red Green Blue (RGB) analysis and transfer relevant information to an off-site lab, thus allowing for efficient diagnostics. Integration of the GPS location metadata of every test image may add a new dimension of information, allowing for real-time epidemiologic data on MTBC identification.

The paper deals with the most used metadata formats and thesauri suitable for describing scientific and research papers in the domains agriculture, food industry, aquaculture, environment and rural areas. These include the Dublin Core (DC), Metadata Object Description Schema (MODS), Virtual Open Access Agriculture and Aquaculture Repository Metadata Application Profile (VOA3R AP) and the AGROVOC thesaurus. Having analyzed the metadata formats and research paper lifecycle, the authors would recommend that each paper should entail metadata description as soon as it is published. The metadata are to describe the content and properties of the paper. One of the most suitable metadata formats is the VOA3R AP that is partially patterned on the DC and combined with the AGROVOC thesaurus. As a result, an effective description, availability and automatic data exchange between and among local and central repositories should be attained. The knowledge and data presented in the present paper were obtained as a result of the following research programs and grant schemes: the Grant No. 20121044 of the Internal Grant Agency titled „Using Automatic Metadata Generation for Research Papers“, the Grant agreement No. 250525 funded by the European Commission corresponding to the VOA3R Project (Virtual Open Access Agriculture & Aquaculture Repository: Sharing Scientific and Scholarly Research related to Agriculture, Food, and Environment), http://voa3r.eu and the Research Program titled „Economy of the Czech Agriculture Resources and their Efficient Use within the Framework of the Multifunctional Agrifood Systems“ of the Czech Ministry of Education, Youth and Sport number VZ MSM 6046070906.