Clostridioides difficile infection (CDI) causes severe inflammatory responses at the intestinal mucosa but the immunological mechanisms underlying CDI-related immunopathology are still incompletely characterized. Here we identified for the first time that both, non-toxigenic strains as well as the hypervirulent ribotypes RT027 and RT023 of Clostridioides difficile (formerly Clostridium difficile), induced an effector phenotype in mucosal-associated invariant T (MAIT) cells. MAIT cells can directly respond to bacterial infections by recognizing MR1-presented metabolites derived from the riboflavin synthesis pathway constituting a novel class of antigens. We confirmed functional riboflavin synthesis of C. difficile and found fixed bacteria capable of activating primary human MAIT cells in a dose-dependent manner. C. difficile-activated MAIT cells showed an increased and MR1-dependent expression of CD69, proinflammatory IFNγ, and the lytic granule components granzyme B and perforin. Effector protein expression was accompanied by the release of lytic granules, which, in contrast to other effector functions, was mainly induced by IL-12 and IL-18. Notably, this study revealed hypervirulent C. difficile strains to be most competent in provoking MAIT cell responses suggesting MAIT cell activation to be instrumental for the immunopathology observed in C. difficile-associated colitis. In conclusion, we provide first evidence for a link between C. difficile metabolism and innate T cell-mediated immunity in humans.

Seismic reflection data (normal incidence and wide angle) are unique assets for solid Earth sciences as they provide critical information about the physical properties and structure of the lithosphere as well as about the shallow subsurface for exploration purposes. The resolution of these seismic data is highly appreciated; however they are logistically complex and expensive to acquire, and their geographical coverage is limited. Therefore, it is essential to make the most of the data that have already been acquired. The collation and dissemination of seismic open-access data are then key to promote accurate and innovative research and to enhance new interpretations of legacy data. This work presents the Seismic DAta REpository (SeisDARE), which is, to our knowledge, one of the first comprehensive open-access online databases that stores seismic data registered with a permanent identifier (DOI). The datasets included here are openly accessible online and guarantee the FAIR (findable, accessible, interoperable, reusable) principles of data management, granting the inclusion of each dataset in a statistics referencing database so its impact can be measured. SeisDARE includes seismic data acquired in the last 4 decades in the Iberian Peninsula and Morocco. These areas have attracted the attention of international researchers in the fields of geology and geophysics due to the exceptional outcrops of the Variscan and Alpine orogens and wide foreland basins, the crustal structure of the offshore margins that resulted from a complex plate kinematic evolution, and the vast quantities of natural resources contained within. This database has been built thanks to a network of national and international institutions, promoting a multidisciplinary research and is open for international data exchange and collaborations. As part of this international collaboration, and as a model for inclusion of other global seismic datasets, SeisDARE also hosts seismic data acquired in Hardeman County, Texas (USA), within the COCORP project (Consortium for Continental Reflection Profiling). SeisDARE aims to make easily accessible old and recently acquired seismic data and to establish a framework for future seismic data management plans. SeisDARE is freely available at https://digital.csic.es/handle/10261/101879 (a detailed list of the datasets can be found in Table 1), bringing endless research and teaching opportunities to the scientific, industrial, and educational communities.

The FAIR Principles are a set of good practices to improve the reproducibility and quality of data in an Open Science context. Different sets of indicators have been proposed to evaluate the FAIRness of digital objects, including datasets that are usually stored in repositories or data portals. However, indicators like those proposed by the Research Data Alliance are provided from a high-level perspective that can be interpreted and they are not always realistic to particular environments like multidisciplinary repositories. This paper describes FAIR EVA, a new tool developed within the European Open Science Cloud context that is oriented to particular data management systems like open repositories, which can be customized to a specific case in a scalable and automatic environment. It aims to be adaptive enough to work for different environments, repository software and disciplines, taking into account the flexibility of the FAIR Principles. As an example, we present DIGITAL.CSIC repository as the first target of the tool, gathering the particular needs of a multidisciplinary institution as well as its institutional repository.

This article gives a comprehensive overview of recent Spanish National Research Council (CSIC) publications available in Open Access. With a focus on research articles from the last decade (2008–2018), this work aims to fill the gap in previous studies about publishing trends and impact monitoring of publications by researchers from the Spanish National Research Council. Evolution and main trends of Green and Gold Open Access routes at CSIC are addressed through a close insight into DIGITAL.CSIC repository and institutional Open Access Publishing Support Programme. The article draws on major conclusions at a time when an institutional Open Access mandate has just entered into force. The article also relates findings about performance of institutional Open Access Publishing Initiative and total volume of CSIC articles published in Open Access with an estimation of overall costs on article processing charges during these years. Furthermore, the data serve as a basis to make preliminary considerations as to opportunities to move from a subscription-based model to one fully aligned with Gold Open Access publishing. The data analyzed come from a variety of sources, including public information and internal records maintained by the CSIC E-resources Subscription programme, DIGITAL.CSIC and data retrieved from GesBIB, an internal, in-house development tool that integrates bibliographic information about CSIC publications as well as data from several external APIs, including Unpaywall, DOAJ and Sherpa Romeo.

10 páginas, 3 gráficos.[EN]Open Access to information has brought about a multiplication of data that can be used to carry out statistical analysis on the impact of scientific publications, thus paving the way for new metrics models for scholarly communication. In May 2010 Digital.CSIC launched a new statistics model in order to address CSIC structural complexity as well as requests by CSIC libraries to generate statistical reports by centers. Thanks to these newly developed statistics, it will be possible to undertake both internal follow up activities and external promotional and advocacy efforts which will show cost-benefit relationship at Digital.CSIC more clearly alongside the impact of CSIC science that is openly available through Digital.CSIC. The article explains the architecture behind statistics a la carte developed by Digital.CSIC and needs and challenges that are to be addressed.[ES]El acceso abierto a la información ha traído consigo la multiplicación de datos susceptibles de ser aprovechados para análisis estadísticos del impacto de las publicaciones científicas, abriendo la puerta a nuevos modelos métricos de la comunicación científica. En mayo de 2010 Digital.CSIC inauguró un nuevo módulo de estadísticas que responden a la complejidad organizativa del CSIC y a las peticiones por parte de sus bibliotecas de generar informes estadísticos por centros. Con estas estadísticas más desarrolladas, se podrá llevar a cabo funciones de seguimiento interno y de promoción y divulgación externa que reflejen con mayor claridad la relación coste-beneficio del repositorio así como el impacto de la producción científica del CSIC disponible en abierto a través de Digital.CSIC. El artículo explica la arquitectura de las estadísticas a la carta desarrolladas por Digital.CSIC, así como las necesidades y exigencias que pretenden cubrir.Peer reviewe