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AbstractScientific writings, as one essential part of human culture, have evolved over centuries into their current form. Knowing how scientific writings evolved is particularly helpful in understanding how trends in scientific culture developed. It also allows us to better understand how scientific culture was interwoven with human culture generally. The availability of massive digitized texts and the progress in computational technologies today provide us with a convenient and credible way to discern the evolutionary patterns in scientific writings by examining the diachronic linguistic changes. The linguistic changes in scientific writings reflect the genre shifts that took place with historical changes in science and scientific writings. This study investigates a general evolutionary linguistic pattern in scientific writings. It does so by merging two credible computational methods: relative entropy; word-embedding concreteness and imageability. It thus creates a novel quantitative methodology and applies this to the examination of diachronic changes in the Philosophical Transactions of Royal Society (PTRS, 1665–1869). The data from two computational approaches can be well mapped to support the argument that this journal followed the evolutionary trend of increasing professionalization and specialization. But it also shows that language use in this journal was greatly influenced by historical events and other socio-cultural factors. This study, as a “culturomic” approach, demonstrates that the linguistic evolutionary patterns in scientific discourse have been interrupted by external factors even though this scientific discourse would likely have cumulatively developed into a professional and specialized genre. The approaches proposed by this study can make a great contribution to full-text analysis in scientometrics.

AbstractMany believe that the quality of a scientific publication is as good as the science it cites. However, quantifications of how features of reference lists affect citations remain sparse. We examined seven numerical characteristics of reference lists of 50,878 research articles published in 17 ecological journals between 1997 and 2017. Over this period, significant changes occurred in reference lists’ features. On average, more recent papers have longer reference lists and cite more high Impact Factor papers and fewer non-journal publications. We also show that highly cited articles across the ecological literature have longer reference lists, cite more recent and impactful references, and include more self-citations. Conversely, the proportion of ‘classic’ papers and non-journal publications cited, as well as the temporal span of the reference list, have no significant influence on articles’ citations. From this analysis, we distill a recipe for crafting impactful reference lists, at least in ecology.

We investigate the accuracy of how author names are reported in bibliographic records excerpted from four prominent sources: WoS, Scopus, PubMed, and CrossRef. We take as a case study 44,549 publications stored in the internal database of Sapienza University of Rome, one of the largest universities in Europe. While our results indicate generally good accuracy for all bibliographic data sources considered, we highlight a number of issues that undermine the accuracy for certain classes of author names, including compound names and names with diacritics, which are common features to Italian and other Western languages.

This article tackles the issue of integrating heterogeneous archival sources in one single data repository, namely the European Holocaust Research Infrastructure (EHRI) portal, whose aim is to support Holocaust research by providing online access to information about dispersed sources relating to the Holocaust (http://portal.ehri-project.eu). In this case, the problem at hand is to combine data coming from a network of archives in order to create an interoperable data space which can be used to search for, retrieve and disseminate content in the context of archival-based research. The scholarly purpose has specific consequences on our task. It assumes that the information made available to the researcher is as close as possible to the originating source in order to guarantee that the ensuing analysis can be deemed reliable. In the EHRI network of archives, as already observed in the case of the EU Cendari project, one cannot but face heterogeneity. The EHRI portal brings together descriptions from more than 1900 institutions. Each archive comes with a whole range of idiosyncrasies corresponding to the way it has been set up and evolved over time. Cataloging practices may also differ. Even the degree of digitization may range from the absence of a digital catalogue to the provision of a full-fledged online catalogue with all the necessary APIs for anyone to query and extract content. There is indeed a contrast here with the global endeavour at the international level to develop and promote standards for the description of archival content as a whole. Nonetheless, in a project like EHRI, standards should play a central role. They are necessary for many tasks related to the integration and exploitation of the aggregated content, namely: ● Being able to compare the content of the various sources, thus being able to develop quality-checking processes; ● Defining of an integrated repository infrastructure where the content of the various archival sources can be reliably hosted; ● Querying and re-using content in a seamless way; ● Deploying tools that have been developed independently of the specificities of the information sources, for instance in order to visualise or mine the resulting pool of information. The central aspect of the work described in this paper is the assessment of the role of the EAD (Encoded Archival Description) standard as the basis for achieving the tasks described above. We have worked out how we could develop a real strategy of defining specific customization of EAD that could be used at various stages of the process of integrating heterogeneous sources. While doing so, we have developed a methodology based on a specification and customization method inspired from the extensive experience of the Text Encoding Initiative (TEI) community. In the TEI framework, as we show in section 1, one has the possibility to model specific subsets or extensions of the TEI guidelines while maintaining both the technical (XML schemas) and editorial (documentation) content within a single framework. This work has led us quite far in anticipating that the method we have developed may be of a wider interest within similar environments, but also, as we believe, for the future maintenance of the EAD standard. Finally this work, successfully tested and implemented in the framework of EHRI [Riondet 2017], can be seen as part of the wider endeavour of European research infrastructures in the humanities such as CLARIN and DARIAH to provide support for researchers to integrate the use of standards in their scholarly practices. This is the reason why the general workflow studied here has been introduced as a use case in the umbrella infrastructure project PARTHENOS which aims, among other things, at disseminating information and resources about methodological and technical standards in the humanities.

International audience; The CENDARI infrastructure is a research-supporting platform designed to provide tools for transnational historical research, focusing on two topics: medieval culture and World War I. It exposes to the end users modern Web-based tools relying on a sophisticated infrastructure to collect, enrich, annotate, and search through large document corpora. Supporting researchers in their daily work is a novel concern for infrastructures. We describe how we gathered requirements through multiple methods to understand historians' needs and derive an abstract workflow to support them. We then outline the tools that we have built, tying their technical descriptions to the user requirements. The main tools are the note-taking environment and its faceted search capabilities; the data integration platform including the Data API, supporting semantic enrichment through entity recognition; and the environment supporting the software development processes throughout the project to keep both technical partners and researchers in the loop. The outcomes are technical together with new resources developed and gathered, and the research workflow that has been described and documented.

The Cultural Heritage (CH) community is one of the most active in the realisation of Aggregative Data Infrastructures (ADIs). ADIs provide tools to integrate data sources to form uniform and richer information spaces. The realisation of ADIs for CH must be based on technology capable of coping with complex interoperability issues and sustainability issues. In this paper, we present the D-NET software toolkit framework and services, devised for the realisation of sustainable and customisable ADIs. In particular, we demonstrate the effectiveness of D-NET in the CH scenario by describing its usage in the realisation of a real-case ADI for the EC project Heritage of the People's Europe (HOPE). The HOPE ADI uses D-NET to implement a two-phase metadata conversion methodology that addresses data interoperability issues while facilitating sustainability by encouraging participation of data sources.