1,721,235 research outputs found
PeerJ Computer Science
No full textPeerJ Computer Science is the open access journal covering all subject areas in computer science, with the backing of a prestigious advisory board and more than 300 academic editors
Journal of Documentation
No full textJournal of Documentation provides a unique focus on theories, concepts, models, frameworks and philosophies related to documents and recorded knowledge
Frontiers in Research Metrics & Analytics
No full textProvides a forum for the study of measuring, evaluating, and improving the efficiency, reliability, and transparency of research and innovation in all areas of scientific inquiry and applications
Data Science - Methods, Infrastructure, and Applications
No full textData Science is an interdisciplinary journal that addresses the development that data has become a crucial factor for a large number and variety of scientific fields. This journal covers aspects around scientific data over the whole range from data creation, mining, discovery, curation, modeling, processing, and management to analysis, prediction, visualization, user interaction, communication, sharing, and re-use. We are interested in general methods and concepts, as well as specific tools, infrastructures, and applications. The ultimate goal is to unleash the power of scientific data to deepen our understanding of physical, biological, and digital systems, gain insight into human social and economic behaviour, and design new solutions for the future. The rising importance of scientific data, both big and small, brings with it a wealth of challenges to combine structured, but often siloed data with messy, incomplete, and unstructured data from text, audio, visual content such as sensor and weblog data. New methods to extract, transport, pool, refine, store, analyze, and visualize data are needed to unleash their power while simultaneously making tools and workflows easier to use by the public at large. The journal invites contributions ranging from theoretical and foundational research, platforms, methods, applications, and tools in all areas. We welcome papers which add a social, geographical, and temporal dimension to Data Science research, as well as application-oriented papers that prepare and use data in discovery research
Open Biomedical Citations in Context Corpus
No full textConventional citation indexes, such as Web of Science and Scopus, require subscription and only include sources that meet criteria set by the producer. Moreover, they provide data from reference lists, not individual in-text references.
Building on the OpenCitations Corpus, we will create an open database of citations between biomedical publications where data are provided at the level of individual in-text references making it possible to distinguish references that are cited only once from those that are cited multiple times. It will also be possible to see which references are cited together, which section of the article they are from and the function of the citation. We will provide and enable third parties to further develop search interfaces and analytical tools that will help researchers find relevant information from an ever-expanding body of literature.
Our database will free biomedical researchers from the limitations of existing databases and traditional methods of searching and evaluating literature
The OpenCitations Enhancement Project
No full textTo establish an open scholarly citation database that freely and legally makes available accurate citation data in easily reused standard machine-readable formats
Social cohesion, Participation, and Inclusion through Cultural Engagement
No full textThe overall aim of the project is to foster diverse participation in the heritage domain through a process of "citizen curation". Citizens will be supported to: develop their own personal interpretations of cultural objects; work together to present their collective view of life through culture and heritage; and gain an appreciation of alternative cultural viewpoints.
Methods will be codesigned that can be used by citizen groups to produce personal interpretations of cultural objects and analyse and compare them against the interpretations of others. Tools will be developed for modelling users and groups and recommending content in a way that assists citizen groups in building a representation of themselves and appreciating variety within groups and similarity across groups to enhance social cohesion. A Linked Data infrastructure will support citizen curation using social media platforms in a way that gives heritage institutions control over rights protected digital assets and access to citizens responses to their collections. User experiences will be designed that enable inclusive participation in citizen curation activities across cultures and abilities. A series of citizen curation case studies with a diverse set of museums and citizen groups will demonstrate how the approach can promote inclusive participation and social cohesion in a variety of contexts.
The project brings together 13 partners from 7 countries. The consortium comprises: three SMEs from the visitor guide (GVAM), mobile game (PadaOne) and data mining (CELI) sectors; four heritage institutions (Design Museum Helsinki, Irish Museum of Modern Art, Gallery of Modern Art Turin, Hecht Museum); and seven research centres (Bologna, Aalto, Aalborg, OU, UCM, Turin, Haifa) with expertise in codesign, museology, HCI, Linked Data, narratology, ontologies, visualisation and user modelling
Wikipedia Citations in Wikidata
No full textWe propose to develop a codebase to enrich Wikidata with citations to scholarly publications (journal articles and books) that are currently referenced in English Wikipedia. This codebase will build on top of previous work, such as the wikiciteparser, and integrates new components, notably: i) a classifier to distinguish citations by cited source (books, journal articles and other online contents); ii) a look-up module to equip citations with identifiers from Crossref or other APIs. In so doing, Wikipedia Citations extends upon prior work which only focused on citations already equipped with identifiers, such as mwcites.
Our goal is to develop four software modules in Python (the codebase from now on) that can be easily reused by developers in the Wikidata community:
[extractor] a module to extract citation and bibliographic information from articles in the English Wikipedia;
[converter] a module to convert extracted information into a CSV-based format compliant with a shareable bibliographic data model, e.g., the OpenCitations Data Model;
[enricher] a module for reconciling bibliographic resources and people (obtained in step 2) with entities available in Wikidata via their persistent identifiers (primarily DOIs, QIDs, ORCIDs, VIAFs, then also persons, places and organisations if time allows);
[pusher] a module to disambiguate, deduplicate, and load citation and bibliographic data in Wikidata that reuses code already developed by the wikidata community as much as possible
OpenAIRE-Nexus Scholarly Communication Services for EOSC users
No full textOpenAIRE-Nexus brings in Europe, EOSC and the world a set of services to implement and accelerate Open Science. To embed in researchers workflows, making it easier for them to accept and uptake Open Science practices of openness and FAIRness. To give the tools to libraries, research communities to make their content more visible and discoverable. To assist policy makers to better understand the environment and ramifications of Open Science into new incentives, scientific reward criteria, impact indicators, so as to increase research and innovation potential. To foster innovation, by providing SMEs with open data about scientific production. To this aim, OpenAIRE-Nexus onboards to the EOSC fourteen services, provided by public institutions, einfrastructures, and companies, structured in three portfolios: PUBLISH (catch all repository; Open Access overlay journal platform; data anonymization; Data Management Plans), MONITOR (Open Science and research impact monitoring; open citation indexes for article-article, article-dataset links; European monitoring of Article Processing Charges, publication usage statistics), and DISCOVER (open catalogue and APIs to the OpenAIRE Research Graph of interlinked publications, data, software, projects; discovery portals for communities; validation and brokering services for data sources to improve their metadata). The services are widely used in Europe and beyond and integrated in OpenAIRE-Nexus to assemble a uniform Open Science Scholarly Communication package for the EOSC. The project aims at forming synergies with other INFRAEOSC-07 awarded projects, the INFRAEOSC-03 project, research infrastructures, einfrastructures, and scholarly communication services define a common Open Science interoperability framework for the EOSC, to facilitate sharing, monitoring, and discovery of EOSC resources across disciplines
time-agnostic-library
No full texttime-agnostic-library è una libreria Python che consente di eseguire interrogazioni temporali su insiemi di dati RDF conformi alla specifica di provenance dell'OpenCitations Data Model.time-agnostic-library is a Python library that allows performing time-travel queries on RDF datasets compliant with the provenance specification of the OpenCitations Data Model
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