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Social research methodologists have postulated that the transparency of survey procedures and data processing is mandatory for assessing the Total Survey Error. Recent analyses of data from cross-national surveys have demonstrated an increase in the quality of documentation reports over time and significant differences in documentation quality between the projects. This research note replicates previous results with an extended set of documentation-related quality indicators describing the degree of completeness of information at the consecutive steps of the survey cycle. It also extends earlier findings by indicating no significant relationship between the quality of the survey documentation and the quality of the survey itself. We analysed a meta-data set of survey characteristics, studying all available up-to-date methodological reports of 1,145 national surveys from four large-scale multi-wave projects: the European Quality of Life Survey (2003-2016), European Social Survey (2002-2018), European Values Study (1981-2017), and International Social Survey Programme (1985-2018).

This article reports comparison results from studying the alignment of selected metadata models, used to manage E-Learning Materials (ELM) in the medicine and healthcare education, against the accreditation standards of the European Accreditation Council for Continuing Medical Education (EACCME). The study aims to (1) illustrate the variety of application profiles developed as metadata models in that field, (2) identify the alignment of the metadata models with the criteria set by the EACCME. This study compared several application profiles, developed based on established metadata standards, using an evaluation matrix created using the accreditation criteria set by the EACCME. Further technical criteria were added to compare between the metadata models and their alignment with the new techniques used for publishing data online. Such techniques aid in the searchabililty and discovery of online content via the internet. Therefore, the use of XML and RDF technologies combined with the use of ontologies and controlled vocabulary was emphasized in the implementation of many metadata models. One limitation faced during conducting this research was the poor documentation of the methodology for designing the metadata models. Despite this, it is apparent that the EACCME criteria can work as best practices guidelines for describing the content of digital libraries with medical and healthcare content in order to be accredited later on. The study showed that the medicine and healthcare educational content requires specialized metadata models that consider having specific properties such as clinical history and expiry time of its material shown in some of the application profiles. Further research should be conducted to evaluate the completeness and conformity of applying the application profiles in digital libraries and online repositories to the standards' guidelines.

This research explores trends in knowledge organization (KO) in library and information science (LIS) curricula in 68 selected schools located in Southeast Asia, Europe, and North America. The research quantitatively analyzed KO course descriptions in order to identify the modules covered in these LIS programs' curricula. Information was gathered from the course descriptions available on the schools' websites. All the identified modules were identified, tagged, and listed for further analysis. Modules were selected because they cover courses that are KO dedicated or that have parts of the courses that pertained to KO. The results showed that information organization and cataloging are the most taught KO modules; bibliographic control and organization are second and metadata is third. Indexing, classification, and subject analysis also received a marked emphasis; other modules, such as taxonomies, ontologies, thesauri, and digital libraries, have not yet received as much significance in LIS curricula. These results corroborate the findings of similar studies reported in the literature.

In this paper, we introduce a new way of detecting semantic similarities between learning objects by analysing their usage in web portals. Our approach relies on the usage-based relations between the objects themselves rather then on the content of the learning objects or on the relations between users and learning objects. We then take this new similarity measure to enhance existing recommendation approaches for the use in technology enhanced learning.

The Europeana digital library features cultural heritage collections from over 3,000 European institutions described in 37 languages. However, most textual metadata describe the records in a single language, the data providers' language. Improving Europeana's multilingual accessibility presents challenges due to the unique characteristics of cultural heritage metadata, often expressed in short phrases and using in-domain terminology. This work presents the EuropeanaTranslate project's approach and results, aimed at translating Europeana metadata records from 23 EU languages into English. Machine Translation engines were trained on a cleaned selection of bilingual and synthetic data from Europeana, including multilingual vocabularies and relevant cultural heritage repositories. Automatic translations were evaluated through standard metrics and human assessments by linguists and domain cultural heritage experts. The results showed significant improvements when compared to the generic engines used before the in-domain training as well as the eTranslation service for most languages. The EuropeanaTranslate engines have translated over 29 million metadata records on Europeana.eu. Additionally, the MT engines and training datasets are publicly available via the European Language Grid Catalogue and the ELRC-SHARE repository. [ABSTRACT FROM AUTHOR]

Environmental factors amplified by climate change contribute significantly to the global burden of disease, disproportionately impacting vulnerable populations, such as individuals with rare diseases. Researchers require innovative, dynamic data linkage methods to enable the development of risk prediction models, particularly for diseases like vasculitis with unknown aetiology but potential environmental triggers. In response, we present the Semantic Environmental and Rare Disease Data Integration Framework (SERDIF). SERDIF was evaluated with researchers studying climate-related health hazards of vasculitis disease activity across European countries (NP1 = 10, NP2 = 17, NP3 = 23). Usability metrics consistently improved, indicating SERDIF's effectiveness in linking complex environmental and health datasets. Furthermore, SERDIF-enabled epidemiologists to study environmental factors in a pregnancy cohort in Lombardy, showcasing its versatility beyond rare diseases. This framework offers for the first time a user-friendly, FAIR-compliant design for environment-health data linkage with export capabilities enabling data analysis to mitigate health risks posed by climate change. [ABSTRACT FROM AUTHOR]

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Copyright of Procesamiento del Lenguaje Natural is the property of Sociedad Espanola para el Procesamiento del Lenguaje Natural and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Acquiring and distributing essential information for understanding global biogeochemical interactions between the atmosphere and ecosystems, and how climate-ecosystem feedback loops may change atmospheric composition in the future is a fundamental pre-requisite for societal resilience in view of climate change. Particularly, the detection of trends and periodicity in the presence of greenhouse gases and short-lived climate-active atmospheric constituents is an important aspect of climate science. Thus, the availability of an easy and fast access to reliable, long-term, and high-quality environmental data is recognized as fundamental for research and for developing environmental prediction and assessment services. In our Opinion Article, we develop the role environmental research infrastructures in Europe (ENVRI RIs) and particularly the atmosphere-centred research infrastructures ACTRIS, IAGOS and ICOS can assume with their capacities for standardised acquisition and reporting of long-term and high-quality observational data, complemented by rich metadata, for the provision of data by open access, and for data interoperability across different research fields including all fields of environmental sciences and beyond. Resulting from these capacities in data collection and provision, we elaborate on the novel research opportunities in atmospheric sciences which evolve from the combination of open-access and interoperable observational data, tools and technologies offered by data-intensive science, and the emerging service ecosystem of the collaboration platform ENVRI-Hub, hosted by the European Open Science Cloud. [ABSTRACT FROM AUTHOR]

Macro- and microscopic images of organisms are pivotal in biodiversity research. Despite that bioimages have manifold applications such as assessing the diversity of form and function, FAIR bioimaging data in the context of biodiversity are still very scarce, especially for difficult taxonomic groups such as bryophytes. Here, we present a high-quality reference dataset containing macroscopic and bright-field microscopic images documenting various phenotypic characters of the species belonging to the liverwort family of Scapaniaceae occurring in Europe. To encourage data reuse in biodiversity and adjacent research areas, we annotated the imaging data with machine-actionable metadata using community-accepted semantics. Furthermore, raw imaging data are retained and any contextual image processing like multi-focus image fusion and stitching were documented to foster good scientific practices through source tracking and provenance. The information contained in the raw images are also of particular interest for machine learning and image segmentation used in bioinformatics and computational ecology. We expect that this richly annotated reference dataset will encourage future studies to follow our principles. Measurement(s) phenotype Technology Type(s) bright-field microscopy Factor Type(s) taxonomic identification of different species Sample Characteristic - Organism Scapaniaceae [ABSTRACT FROM AUTHOR]

Background: Research networks offer multidisciplinary expertise and promote information exchange between researchers across Europe. They are essential for the European Union's (EU) health information system as providers of health information and data. The aim of this mapping exercise was to identify and analyze EU research networks in terms of health data collection methods, quality assessment, availability and accessibility procedures. Methods: A web-based search was performed to identify EU research networks that are not part of international organizations (e.g., WHO-Europe, OECD) and are involved in collection of data for health monitoring or health system performance assessment. General characteristics of the research networks (e.g., data sources, representativeness), quality assessment procedures, availability and accessibility of health data were collected through an ad hoc extraction form. Results: Fifty-seven research networks, representative at national, international or regional level, were identified. In these networks, data are mainly collected through administrative sources, health surveys and cohort studies. Over 70% of networks provide information on quality assessment of their data collection procedures. Most networks share macrodata through articles and reports, while microdata are available from ten networks. A request for data access is required by 14 networks, of which three apply a financial charge. Few networks share data with other research networks (8/49) or specify the metadata-reporting standards used for data description (9/49). Conclusions: Improving health information and availability of high quality data is a priority in Europe. Research networks could play a major role in tackling health data and information inequalities by enhancing quality, availability, and accessibility of health data and data sharing across European networks. [ABSTRACT FROM AUTHOR]

Questions: Two scientific disciplines, vegetation science and weed science, study arable weed vegetation, which has seen a strong diversity decrease in Europe over the last decades. We compared two collections of plot‐based vegetation records originating from these two disciplines. The aim was to check the suitability of the collections for joint analysis and for addressing research questions from the opposing domains. We asked: are these collections complementary? If so, how can they be used for joint analysis? Location: Europe. Methods: We compared 13 311 phytosociological relevés and 13 328 records from weed science, concerning both data collection properties and the recorded species richness. To deal with bias in the data, we also analysed different subsets (i.e., crops, geographical regions, organic vs conventional fields, center vs edge plots). Results: Records from vegetation science have an average species number of 19.0 ± 10.4. Metadata on survey methodology or agronomic practices are rare in this collection. Records from weed science have an average species number of 8.5 ± 6.4. They are accompanied by extensive methodological information. Vegetation science records and the weed science records taken at field edges or from organic fields have similar species numbers. The collections cover different parts of Europe but the results are consistent in six geographical subsets and the overall data set. The difference in species numbers may be caused by differences in methodology between the disciplines, i.e., plot positioning within fields, plot sizes, or survey timing. Conclusion: This comparison of arable weed data that were originally sampled with a different purpose represents a new effort in connecting research between vegetation scientists and weed scientists. Both collections show different aspects of weed vegetation, which means the joint use of the data is valuable as it can contribute to a more complete picture of weed species diversity in European arable landscapes. [ABSTRACT FROM AUTHOR]

Background: Nurse researchers are well poised to study the connection of the microbiome to health and disease. Evaluating published microbiome results can assist with study design and hypothesis generation. Objectives: This article aims to present and define important analysis considerations in microbiome study planning and to identify genera shared across studies despite methodological differences. This methods article will highlight a workflow that the nurse scientist can use to combine and evaluate taxonomy tables for microbiome study or research proposal planning. Methods : We compiled taxonomy tables from 13 published gut microbiome studies that had used Ion Torrent sequencing technology. We searched for studies that had amplified multiple hypervariable (V) regions of the 16S rRNA gene when sequencing the bacteria from healthy gut samples. Results : We obtained 15 taxonomy tables from the 13 studies, comprised of samples from four continents and eight V regions. Methodology among studies was highly variable, including differences in V regions amplified, geographic location, and population demographics. Nevertheless, of the 354 total genera identified from the 15 data sets, 25 were shared in all V regions and the four continents. When relative abundance differences across the V regions were compared, Dorea and Roseburia were statistically different. Taxonomy tables from Asian subjects had increased average abundances of Prevotella and lowered abundances of Bacteroides compared with the European, North American, and South American study subjects. Discussion : Evaluating taxonomy tables from previously published literature is essential for study planning. The genera found from different V regions and continents highlight geography and V region as important variables to consider in microbiome study design. The 25 shared genera across the various studies may represent genera commonly found in healthy gut microbiomes. Understanding the factors that may affect the results from a variety of microbiome studies will allow nurse scientists to plan research proposals in an informed manner. This work presents a valuable framework for future cross-study comparisons conducted across the globe. [ABSTRACT FROM AUTHOR]

Metagenomics is a culture-independent method for studying the microbes inhabiting a particular environment. Comparing the composition of samples (functionally/taxonomically), either from a longitudinal study or cross-sectional studies, can provide clues into how the microbiota has adapted to the environment. However, a recurring challenge, especially when comparing results between independent studies, is that key metadata about the sample and molecular methods used to extract and sequence the genetic material are often missing from sequence records, making it difficult to account for confounding factors. Nevertheless, these missing metadata may be found in the narrative of publications describing the research. Here, we describe a machine learning framework that automatically extracts essential metadata for a wide range of metagenomics studies from the literature contained in Europe PMC. This framework has enabled the extraction of metadata from 114,099 publications in Europe PMC, including 19,900 publications describing metagenomics studies in European Nucleotide Archive (ENA) and MGnify. Using this framework, a new metagenomics annotations pipeline was developed and integrated into Europe PMC to regularly enrich up-to-date ENA and MGnify metagenomics studies with metadata extracted from research articles. These metadata are now available for researchers to explore and retrieve in the MGnify and Europe PMC websites, as well as Europe PMC annotations API. [ABSTRACT FROM AUTHOR]

Purpose: Metadata for data dIscoverability aNd study rEplicability in obseRVAtional studies (MINERVA), a European Medicines Agency-funded project (EUPAS39322), defined a set of metadata to describe real-world data sources (RWDSs) and piloted metadata collection in a prototype catalogue to assist investigators from data source discoverability through study conduct., Methods: A list of metadata was created from a review of existing metadata catalogues and recommendations, structured interviews, a stakeholder survey, and a technical workshop. The prototype was designed to comply with the FAIR principles (findable, accessible, interoperable, reusable), using MOLGENIS software. Metadata collection was piloted by 15 data access partners (DAPs) from across Europe., Results: A total of 442 metadata variables were defined in six domains: institutions (organizations connected to a data source); data banks (data collections sustained by an organization); data sources (collections of linkable data banks covering a common underlying population); studies; networks (of institutions); and common data models (CDMs). A total of 26 institutions were recorded in the prototype. Each DAP populated the metadata of one data source and its selected data banks. The number of data banks varied by data source; the most common data banks were hospital administrative records and pharmacy dispensation records (10 data sources each). Quantitative metadata were successfully extracted from three data sources conforming to different CDMs and entered into the prototype., Conclusions: A metadata list was finalized, a prototype was successfully populated, and a good practice guide was developed. Setting up and maintaining a metadata catalogue on RWDSs will require substantial effort to support discoverability of data sources and reproducibility of studies in Europe., (© 2024 The Author(s). Pharmacoepidemiology and Drug Safety published by John Wiley & Sons Ltd.)

Primary forests, defined here as forests where the signs of human impacts, if any, are strongly blurred due to decades without forest management, are scarce in Europe and continue to disappear. Despite these losses, we know little about where these forests occur. Here, we present a comprehensive geodatabase and map of Europe's known primary forests. Our geodatabase harmonizes 48 different, mostly field-based datasets of primary forests, and contains 18,411 individual patches (41.1 Mha) spread across 33 countries. When available, we provide information on each patch (name, location, naturalness, extent and dominant tree species) and the surrounding landscape (biogeographical regions, protection status, potential natural vegetation, current forest extent). Using Landsat satellite-image time series (1985–2018) we checked each patch for possible disturbance events since primary forests were identified, resulting in 94% of patches free of significant disturbances in the last 30 years. Although knowledge gaps remain, ours is the most comprehensive dataset on primary forests in Europe, and will be useful for ecological studies, and conservation planning to safeguard these unique forests. Measurement(s) Geographic Distribution Technology Type(s) digital curation Factor Type(s) country Sample Characteristic - Environment primary forest Sample Characteristic - Location Europe Machine-accessible metadata file describing the reported data: https://doi.org/10.6084/m9.figshare.14540625 [ABSTRACT FROM AUTHOR]

Many applications related to ground-motion studies and engineering seismology benefit from the opportunity to easily download large dataset of earthquake recordings with different magnitudes. In such applications, it is important to have a reliable seismic characterization of the stations to introduce appropriate correction factors for including site amplification. Generally, seismic networks in Europe describe the site properties of a station through geophysical or geological reports, but often ad-hoc field surveys are missing and the characterization is done using indirect proxy. It is then necessary to evaluate the quality of a seismic characterization, accounting for the available site information, the measurements procedure and the reliability of the applied methods to obtain the site parameters.In this paper, we propose a strategy to evaluate the quality of site characterization, to be included in the station metadata. The idea is that a station with a good site characterization should have a larger ranking with respect to one with poor or incomplete information. The proposed quality metric includes the computation of three indices, which take into account the reliability of the available site indicators, their number and importance, together with their consistency defined through scatter plots for each single pair of indicators. For this purpose, we consider the seven indicators identified as most relevant in a companion paper (Cultrera et al. 2021): fundamental resonance frequency, shear-wave velocity profile, time-averaged shear-wave velocity over the first 30 m, depth of both seismological and engineering bedrock, surface geology and soil class. [ABSTRACT FROM AUTHOR]

Digital farming technologies promise to help farmers make well-informed decisions that improve the quality and quantity of their production, with less labour and less impact on the environment. This future, however, can only become a reality if farmers are willing to share their data with agribusinesses that develop digital technologies. To foster trust in data sharing, in Europe the EU Code of Conduct for agricultural data sharing by contractual agreement was launched in 2018 which encourages transparency about data use. This article looks at the EU Code through the lens of literature on trust and contract agreements. We agree with the makers of the EU Code that a contract can make an important contribution to trust relationships as it is needed to mitigate the detrimental effects of power relationships between experts and non-experts. Building on Onora O'Neills perspective to trust, however, we argued that a contract can only be successful in fostering trust when (a) information is comprehended by the more vulnerable party in this relationship who has to sign the contract, (b) the more powerful partner takes responsibility to provide that information, and (c) information is tailored to the information needs of the party signing the contract, even when data are re-used over a longer period. In addition, we think that differences between trust relationships and relationships of accountability, give reason to add to informed consent other more substantive ethical components in a more encompassing code of conduct. [ABSTRACT FROM AUTHOR]

Objectives The Gateway to Global Aging Data (Gateway; g2aging.org) is a data and information platform developed to facilitate cross-country analyses on aging, especially those using the international family of Health and Retirement studies. We provide a brief introduction to the Gateway to Global Aging Data, discussing its potential for cross-national comparisons of family, social environment, and healthy aging. Methods We summarize the survey metadata, study characteristics, and harmonized data available from the Gateway, describing the population represented in each study. We portray cohort characteristics and key measures of health and social environment from 37 countries in North America, Europe, and Asia using harmonized data. Results Significant cross-country heterogeneity was observed in many measures of family, social environment, and healthy aging indicators. For example, there was a threefold difference in coresidence with children, ranging from 14% in Sweden to over 46% in Spain and Korea in 2014. From 2002 to 2014, the difference between informal care receipt in individuals of low and high wealth decreased by 6% in the United States and remained unchanged in England. The percentage of individuals aged 50–59 living alone in 2012 varied 15-fold, from a low of 2% in China to a high of 30% in Mexico. Discussion By partnering with nationally representative studies around the globe, the Gateway to Global Aging Data facilitates comparative research on aging through the provision of easy-to-use harmonized data files and other valuable tools. [ABSTRACT FROM AUTHOR]

eLTER was a "Horizon 2020" project with the aim of advancing the development of long-term ecosystem research infrastructure in Europe. This paper describes how eLTER Information System infrastructure has been expanded by a climate service data product providing access to specifically pre-processed regional climate change scenario data from a state-of-the-art regional climate model ensemble of the Coordinated Regional Downscaling Experiment (CORDEX) for 702 registered ecological research sites across Europe. This tailored, expandable, easily accessible dataset follows FAIR principles and allows researchers to describe the climate at these sites, explore future projections for different climate change scenarios and make regional climate change assessments and impact studies. The data for each site are available for download from the EUDAT collaborative data infrastructure B2SHARE service and can be easily accessed and visualised through the Dynamic Ecological Information Management System – Site and Dataset Registry (DEIMS-SDR), a web-based information management system which shares detailed information and metadata on ecological research sites around the globe. This paper describes these data and how they can be accessed by users through the extended eLTER Information System architecture. The data and supporting information are available from B2SHARE. Each individual site (702 sites are available) dataset has its own DOI. To aid data discovery, a persistent B2SHARE lookup table has been created which matches the DOIs of the individual B2SHARE record with each DEIMS site ID. This lookup table is available at 10.23728/b2share.bf41278d91b445bda4505d5b1eaac26c (eLTER EURO-CORDEX Climate Service, 2020). [ABSTRACT FROM AUTHOR]

Open Science best practices and policies have been increasingly promoted and adopted in Europe and worldwide to extend public availability of research data and publications, according to FAIR principles. In this context, the so-called 'Diamond Open Access' model is particularly relevant since it entails provision of scientific content entirely free of charge, both for authors and readers. The journal «Archeologia e Calcolatori» adopted this model at a very early stage, when - in 2005 - it started publishing online full-text PDFs and metadata of its articles according to recognised standards, as an Open Archives Initiative data provider. This paper addresses the evolution of «Archeologia e Calcolatori» in the context of scientific publishing in the disciplinary domain of IT applications to archaeology. It focuses on the updates of its OAI-PMH repository, which led to the journal's inclusion in OpenAIRE as a data provider, and on mapping its current position in the OA Diamond landscape. The paper also illustrates recent implementations of «Archeologia e Calcolatori»'s website to provide full access to visual and interactive resources, such as images and 3D models, related to its publications, and to relevant metadata, structured according to OpenAIRE's most recent guidelines. The combined, contextual provision of full texts, visual and interactive resources, and structured metadata - including full annotations and relations - turns out to be a pioneering publishing service in the domain of IT applications to archaeology. [ABSTRACT FROM AUTHOR]

eLTER was a "Horizon 2020" project with the aim of advancing the development of long-term ecosystem research infrastructure in Europe. This paper describes how eLTER Information System infrastructure has been expanded by a climate service data product providing access to specifically pre-processed regional climate change scenario data from a state-of-the-art regional climate model ensemble of the COordinated Regional Downscaling EXperiment project (CORDEX) for 702 registered ecological research sites across Europe. This tailored, expandable, easily accessible dataset follows FAIR principles and allows researchers to describe the climate at these sites, explore future projections for different climate change scenarios and make regional climate change assessments and impact studies. The data for each site are available for download from the EUDAT Collaborative Data Infrastructure B2SHARE service and can be easily accessed and visualised through the Dynamic Ecological Information Management System - Site and Dataset Registry (DEIMS-SDR), a web-based information management system which shares detailed information and metadata on ecological research sites around the globe. This paper describes these data and how they can be accessed by users through the extended eLTER Information System architecture. The data and supporting information are available from B2SHARE. Each individual site (702 sites are available) dataset has its own DOI. To aid data discovery, a persistent B2SHARE lookup table has been created which matches the DOIs of the individual B2SHARE record with each DEIMS site ID. This look up table is available at http://doi.org/10.23728/b2share.bf41278d91b445bda4505d5b1eaac26c (eLTER EURO-CORDEX Climate Service, 2020). [ABSTRACT FROM AUTHOR]

• Novel fault detection indicator Performance to Peers (P2P). • Based on comparisons between neighbouring PV installations. • Only requires PV energy data; no metadata, no solar irradiation. • Developed and validated on 6000 distributed PV systems in Europe. • Typical MAD (P2P) is 10% for hourly data and 5% for daily data. The fault detection applied to a large amount of small distributed PV systems needs to be simple, cost-effective, and reliable. This work presents a fault detection procedure applied to distributed PV system fleets, based on a novel performance indicator, designated as Performance to Peers (P2P), that can be constructed on the sole basis of the comparison of the energy production data of several neighboring PV systems. This article explains how to construct this performance indicator and how to use it to carry out automatic fault detections. This fault detection procedure has been developed in the context of the performance analysis carried out on approximately 6000 PV installations located in Europe, and it is illustrated and discussed through real application cases. The P2P has been shown to be more stable than the Performance Ratio (PR), in particular in the presence of sub-par metadata on the PV systems, and it thus constitutes a more robust performance indicator for fault detection. The stability of P2P is characterized by an Absolute Median Deviation (MAD) that is typically of 10% for hourly data and 5% for daily data. The application of P2P to fault diagnosis is illustrated on four categories of faults that are among the most frequently observed on PV systems. The main limitations of this novel methodology are discussed, and several future lines of research are suggested. [ABSTRACT FROM AUTHOR]

This article introduces the concept of "alterity processing" to account for the simultaneous enactment of individual "Others" and emergent European orders in the context of migration management. Alterity processing refers to the data infrastructures, knowledge practices, and bureaucratic procedures through which populations unknown to European actors are translated into "European-legible" identities. By drawing on fieldwork conducted in Italy and the Hellenic Republic from 2017 to 2018, this article argues that different registration and identification procedures compete to legitimize different chains of actors, data, and metadata as more authoritative than others. Competing procedures have governance implications, as well, with some actors being included and others being excluded. Furthermore, there is evidence that—despite procedural rigidities—applicants themselves propose alternative chains of actors, data, and metadata that are more meaningful to them. In this tension, it is not only the individual Other that is enacted but also specific bureaucratic orders cutting across old and new European actors and distinctive understandings of "Europe." From a technology studies perspective, this article engages in a dialogue with the emergent debate on Hotspots, the scholarship about the infrastructural construction of Europe and political sociology. [ABSTRACT FROM AUTHOR]

Depression is ranked as the largest contributor to global disability and is also a major reason for suicide. Still, many individuals suffering from forms of depression are not treated for various reasons. Previous studies have shown that depression also has an effect on language usage and that many depressed individuals use social media platforms or the internet in general to get information or discuss their problems. This paper addresses the early detection of depression using machine learning models based on messages on a social platform. In particular, a convolutional neural network based on different word embeddings is evaluated and compared to a classification based on user-level linguistic metadata. An ensemble of both approaches is shown to achieve state-of-the-art results in a current early detection task. Furthermore, the currently popular $ERDE$ E R D E score as metric for early detection systems is examined in detail and its drawbacks in the context of shared tasks are illustrated. A slightly modified metric is proposed and compared to the original score. Finally, a new word embedding was trained on a large corpus of the same domain as the described task and is evaluated as well. [ABSTRACT FROM AUTHOR]

Europe's road to RegTech has rested upon four apparently unrelated pillars: (1) extensive reporting requirements imposed after the Global Financial Crisis to control systemic risk and change in financial sector behaviour; (2) strict data protection rules reflecting European cultural concerns about data privacy and protection; (3) the facilitation of open banking to enhance competition in banking and particularly payments; and (4) a legislative framework for digital identification to further the European Single Market. The paper analyses these four pillars and suggests that together they are underpinning the development of a RegTech ecosystem in Europe and will continue to do so. We argue that the European Union's financial services and data protection regulatory reforms have unintentionally driven the use of regulatory technologies (RegTech) by intermediaries, supervisors and regulators, and provided an environment within which RegTech can flourish. The experiences of Europe in this process will provide insights for other societies in developing their own RegTech ecosystems in order to support more efficient, stable, inclusive financial systems. [ABSTRACT FROM AUTHOR]

Research on regional linguistic variation typically involves data collection in the field. This process itself can take up several months if not years. In the present study we demonstrate how we can use web interactives in collaboration with media outlets for a fast gathering of regional, sociolinguistic data. In collaboration with SPIEGEL ONLINE and Tagesanzeiger, we developed a web interactive that predicts users' regional backgrounds from within German-speaking Europe. More than 1.9M people have participated in the interactive, more than 770K users have provided metadata. Said metadata allowed us to capture regional variation in language as of today, which we can compare to historical survey data–enabling us to track the evolution of German in Europe over the past 40 years. We report on regional levelling of lexical variants, a process which appears to be particularly prevalent in the northern parts of German-speaking Europe. We further found an effect of (former) national and regional borders on language use. This innovative paradigm allows us to collect sociolinguistic data of an unprecedented scale–at the same time it presents significant challenges, both of which–benefits and challenges–will be discussed in this contribution. [ABSTRACT FROM AUTHOR]

The European Library (TEL) and Europeana Foundation initiated the Collections of South and east Europe (CSEEE) project with the purpose of supporting the provision of digital collections from national libraries in countries that are not members of the European Union and that have little or no presence in Europeana. The paper describes the CSEEE project and the cooperation started by national libraries in South and East Europe in order to make their digital collections available for wider use and reuse via the Europeana website and elsewhere online. An important highlight of the project was the initiative of engaging of users and for this an exhibition of postcards and a contest was organized with the aim of inviting users to submit their own photographs of the places displayed in the exhibition. By taking part in the project, the partner libraries were able to cooperate closely in order to develop new skills and overcome obstacles. A short questionnaire was sent out to the partner libraries to understand how the collaboration and participation in this project influenced their work and overall the related activities at the library and what was or still is the motivation for working with Europeana. [ABSTRACT FROM AUTHOR]

Background: Joint data analysis from multiple nutrition studies may improve the ability to answer complex questions regarding the role of nutritional status and diet in health and disease.Objective: The objective was to identify nutritional observational studies from partners participating in the European Nutritional Phenotype Assessment and Data Sharing Initiative (ENPADASI) Consortium, as well as minimal requirements for joint data analysis.Methods: A predefined template containing information on study design, exposure measurements (dietary intake, alcohol and tobacco consumption, physical activity, sedentary behavior, anthropometric measures, and sociodemographic and health status), main health-related outcomes, and laboratory measurements (traditional and omics biomarkers) was developed and circulated to those European research groups participating in the ENPADASI under the strategic research area of "diet-related chronic diseases." Information about raw data disposition and metadata sharing was requested. A set of minimal requirements was abstracted from the gathered information.Results: Studies (12 cohort, 12 cross-sectional, and 2 case-control) were identified. Two studies recruited children only and the rest recruited adults. All studies included dietary intake data. Twenty studies collected blood samples. Data on traditional biomarkers were available for 20 studies, of which 17 measured lipoproteins, glucose, and insulin and 13 measured inflammatory biomarkers. Metabolomics, proteomics, and genomics or transcriptomics data were available in 5, 3, and 12 studies, respectively. Although the study authors were willing to share metadata, most refused, were hesitant, or had legal or ethical issues related to sharing raw data. Forty-one descriptors of minimal requirements for the study data were identified to facilitate data integration.Conclusions: Combining study data sets will enable sufficiently powered, refined investigations to increase the knowledge and understanding of the relation between food, nutrition, and human health. Furthermore, the minimal requirements for study data may encourage more efficient secondary usage of existing data and provide sufficient information for researchers to draft future multicenter research proposals in nutrition. [ABSTRACT FROM AUTHOR]

The aim of this study was to assess the net clinical and prognostic effects of intravenous (i.v.) iron therapy in patients with systolic heart failure (HF) and iron deficiency (ID). We performed an aggregate data meta-analysis (random effects model) of randomized controlled trials that evaluated the effects of i.v. iron therapy in iron-deficient patients with systolic HF. We searched electronic databases up to September 2014. We identified five trials which fulfilled the inclusion criteria (509 patients received i.v. iron therapy in comparison with 342 controls). Intravenous iron therapy has been shown to reduce the risk of the combined endpoint of all-cause death or cardiovascular hospitalization [odds ratio (OR) 0.44, 95% confidence interval (CI) 0.30-0.64, P < 0.0001], and the combined endpoint of cardiovascular death or hospitalization for worsening HF (OR 0.39, 95% CI 0.24-0.63, P = 0.0001). Intravenous iron therapy resulted in a reduction in NYHA class (data are reported as a mean net effect with 95% CIs for all continuous variables) (-0.54 class, 95% CI -0.87 to -0.21, P = 0.001); an increase in 6-min walking test distance (+31 m, 95% CI 18-43, P < 0.0001); and an improvement in quality of life [Kansas City Cardiomyopathy Questionnaire (KCCQ) score +5.5 points, 95% CI 2.8-8.3, P < 0.0001; European Quality of Life-5 Dimensions (EQ-5D) score +4.1 points, 95% CI 0.8-7.3, P = 0.01; Minnesota Living With Heart Failure Questionnaire (MLHFQ) score -19 points, 95% CI:-23 to -16, P < 0.0001; and Patient Global Assessment (PGA) +0.70 points, 95% CI 0.31-1.09, P = 0004]. The evidence indicates that i.v. iron therapy in iron-deficient patients with systolic HF improves outcomes, exercise capacity, and quality of life, and alleviates HF symptoms. [ABSTRACT FROM AUTHOR]

We introduce a new problem, identifying the type of relation that holds between a pair of similar items in a digital library. Being able to provide a reason why items are similar has applications in recommendation, personalization, and search. We investigate the problem within the context of Europeana, a large digital library containing items related to cultural heritage. A range of types of similarity in this collection were identified. A set of 1,500 pairs of items from the collection were annotated using crowdsourcing. A high intertagger agreement (average 71.5 Pearson correlation) was obtained and demonstrates that the task is well defined. We also present several approaches to automatically identifying the type of similarity. The best system applies linear regression and achieves a mean Pearson correlation of 71.3, close to human performance. The problem formulation and data set described here were used in a public evaluation exercise, the * SEM shared task on Semantic Textual Similarity. The task attracted the participation of 6 teams, who submitted 14 system runs. All annotations, evaluation scripts, and system runs are freely available. [ABSTRACT FROM AUTHOR]

Geographic information has a great potential to be re-used when supported by mechanisms for its discovery. Above all, the quality of a catalogue service is the key feature supporting users in the discovery process. So far, there have been in existence various methodologies dealing with the normalized evaluation of quality with respect to catalogue services. Their biggest weakness seems to be in the depth of quality testing, i.e. some influences are beyond the scope of evaluation of these methodologies with respect to quality in catalogue services. In this study, the quality of 45 catalogue services across Europe was verified with the proposed normalized evaluation methodology originating from documents within the INfrastruture for SPatial InfoRmation in Europe (INSPIRE) framework. This paper discusses the (statistical) influence of factors that may significantly change the results of catalogue service testing. The proposals for improving the existing INSPIRE normalized evaluation procedure are applicable for any spatial data infrastructure and/or Digital Earth component using the Open Geospatial Consortium Catalogue Service for the Web as a basis. [ABSTRACT FROM AUTHOR]

This paper presents the overall procedure followed in order to assemble the most recent pan-European strong-motion databank: Reference Database for Seismic Ground-Motion in Europe (RESORCE). RESORCE is one of the products of the SeIsmic Ground Motion Assessment (SIGMA; projet-sigma.com) project. RESORCE is intended to be a single integrated accelerometric databank for Europe and surrounding areas for use in the development and testing of ground-motion models and for other engineering seismology and earthquake engineering applications. RESORCE aims to contribute to the improvement of earthquake risk studies in Europe and surrounding areas. RESORCE principally updates and extends the previous pan-European strong-motion databank (Ambraseys et al. in Bollettino di Geofisica Teorica ed Applicata 45:113-129, ) with recently compiled Greek, Italian, Swiss and Turkish accelerometric archives. The updates also include earthquake-specific studies published in recent years. The current content of RESORCE includes 5,882 multi-component and uniformly processed accelerograms from 1,814 events and 1,540 strong-motion stations. The moment magnitude range covered by RESORCE is $$2.8 \le \hbox {M}_{\mathrm{w}} \le 7.8$$ . The source-to-site distance interval extends to 587 km and distance information is given by the common point- and extended-source distance measures. The paper presents the current features of RESORCE through simple statistics that also quantify the differences in metadata and strong-motion processing with respect to the previous version of the pan-European strong-motion databank. [ABSTRACT FROM AUTHOR]

The EUscreen project represents the European television archives and acts as a domain aggregator for Europeana, Europe's digital library. The main motivation for its creation was to provide unified access to a representative collection of television programs, secondary sources and articles, and in this way to allow students, scholars and the general public to study the history of television in its wider context. In this paper, we present the methodology followed for publishing the EUscreen dataset as Linked Open Data. [ABSTRACT FROM AUTHOR]

The implementation of the Water Framework Directive has required intense research in applied aquatic ecology in Europe, and thus created challenges for data management in international research projects. In the project Waterbodies in Europe: Integrative Systems to assess Ecological status and Recovery (WISER), biological and environmental data from rivers, lakes, transitional and coastal waters in 26 European countries were collated. More than one million records of biological observations were stored in the project's central database, representing phytoplankton, macrophytes, macroalgae, angiosperms, phytobenthos, invertebrates and fish. The central database includes new data from the WISER field campaign in lakes and transitional/coastal waters during 2009-2010 (more than 6,000 biological samples from 58 waterbodies in 14 countries). The purpose of this paper is to provide an overview of the data collated within WISER, in order to facilitate future re-use of these data by other scientists. More specifically, the objectives are to (1) describe the data management in WISER, (2) describe the structure and content of the WISER central database and (3) share experiences and give recommendations for data management in large ecological research projects. [ABSTRACT FROM AUTHOR]

The article offers a detailed study on metadata associated with patent documents and its importance to the search process. It mentions existing metadata and technologies which help in developing additional metadata including classification and information extradition. It further mentions International Patent Classifications (IPC) including the European Classification system (ECLA), the United States Patent Classification (USPC), and the file index (FI).

Reaching a high conformity of reported data for different offence groups with the standard definitions provided for these offences is a crucial issue in order to improve comparability of crime and criminal justice data from official sources between countries. Based on data and metadata collected for the European Sourcebook of Crime and Criminal Justice Statistics (ESB), this article takes a close look at the offence definitions used in the 4th edition Sourcebook. After an overview on ESB methodology, namely on questionnaire design and data validation procedures, the general structure of offence definitions in the ESB context is shown and changes compared to earlier editions are explained. Afterwards, ESB data and definition metadata are used to check the quality of the definitions used. Overall and item conformity rates for each offence definition are calculated and assessed. Missing data rates as another indicator for quality problems of definitions are also evaluated. Then, variation coefficients for the different offence groups are compared and critically assessed. The final part of the article contains a view on the distribution of conformity with definitions across Europe. Altogether, offence definitions in the ESB turn out to work very well. Conformity rates tend to be high and variation coefficients are mostly quite uniform for the different offence categories. However, some problematic offence definitions can be identified. As a result of regional analysis it can be shown that conformity rates across Europe do not vary randomly, but follow a certain pattern. [ABSTRACT FROM AUTHOR]

In support of investigating the effects of systematic archiving of authors' final peer-reviewed, accepted manuscripts (green open access), PEER has developed a robust observatory infrastructure which has already successfully processed over 44,000 manuscripts. Technical challenges successfully overcome by the project include non-uniformity of manuscript files and metadata formats, embargo management, and author authentication for repository deposit. Three areas of research investigating (i) author and reader attitudes and behaviours, (ii) article-level usage at repositories and publisher platforms, and (iii) the economics of large-scale archiving have been commissioned and are producing results. The baseline behavioural survey identified an increasing general awareness of open access, but a lower awareness of institutional and subject repositories. Perceptions were also found to vary depending on whether individuals were responding from an author or reader perspective. PEER itself has seen low uptake from authors when invited to self-deposit into the project. Further results from all three research areas are due before the project ends in May 2012. [ABSTRACT FROM AUTHOR]

The article provides information from various aspects of the field of international serials and electronic resource management. Abstracts for several research articles are included on topics such as scholarly electronic books (e-books) and open source data in academic publishing. Additionally, awards and grants presented by the American Library Association (ALA) in 2011 are highlighted along with notes on the reorganization of the United Kingdom Serials Group (UKSG). Brief information regarding the 2012 conference for the UKSG and a list of online resources related to serials librarians are also included.

The Great Britain Historical Geographical Information System (GIS) has been rebuilt around a single central table holding all statistics in one column, currently containing 14,541,491 data values. This architecture enables extremely flexible data handling, but requires that the context of each data value be captured entirely as metadata. Statistical reporting areas are defined via an ontology of administrative units, in which hierarchical relationships are compulsory while boundary polygons are optional. What a number measures is recorded via a relational implementation of the Data Documentation Initiative standard, locating each value within an n-dimensional matrix, or nCube, whose dimensions are variables such as age, gender, and occupation. The data library can be extended to additional countries or more statistical topics without adding any database tables. [ABSTRACT FROM AUTHOR]

The Geoscience Markup Language (GeoSciML) has been developed to enable the interchange of geoscience information, principally that portrayed on geological maps as well as boreholes. A GeoSciML testbed was developed both to test the implementation of the data model and its application in web services. The OneGeology-Europe project aims to use the GeoSciML data model, and build on the experience of the GeoSciML testbed, in implementing a geoportal for a harmonised geological map of Europe at 1:1 million scale. This involves the integration of web services from 20 participating organisations. An important objective of OneGeology-Europe is to contribute to Infrastructure for Spatial Information in the European Community (INSPIRE), both through the development of a geological data specification and the use of the INSPIRE technical architecture. GeoSciML and the OneGeology-Europe project are also steps towards incorporating geoscience data into a Digital Earth. Both the development of GeoSciML and the implementation of web services for GeoSciML and OneGeology-Europe, have followed a standards-based methodology. The technical architecture comprises a geoportal providing access to a Catalogue Service for the Web for metadata describing both the data and services available. OneGeology-Europe will provide both Web Map Services view and Web Feature Services download services, which aim to be compliant with the INSPIRE implementing rules. [ABSTRACT FROM AUTHOR]

The article offers information on the development of the use of Video Active portal, an audio-visual archives which uses web technology to promote television heritage in Europe. It mentions that the Video Active scheme allows integrated access for digital items and collections among European cultural heritage institutions via the European Digital Library. It adds that the use of Internet as a public knowledge repository allows everyone to gain knowledge from the metadata of culture and history.