Issues and QuestionsWe are planning to have a full day workshop with two main sessions. During the first part of the workshop accepted papers will be presented; the second part of the workshop will address by means of focus groups two main questions, namely “what do we want the future of scholarly communication to be?” and “how could data be preserved and delivered in an interactive manner over scholarly communications?”. These focus groups will be followed by a panel discussion. As an outcome of these activities we will have a communique that will be the editorial for the workshop proceedings.Sepublica2014S14_2ad2259a-a3bc-11e3-8b9b-369dd566cd33Sepublica 2014 is part of the ESWC Workshops. The ESWC 2014 takes place from May 25th, 2014 to May 29th, 2014 in Anissaras, Crete, Greece.ScholarsSemantic publishing is central to the openness that has been embraced by scholarly communication, e-science, data journalism, e-government and across many other domains. This openness implies deep changes in making the semantics of the data available for integration, consumption and analysis. Researchers are moving from a narrative based communication into a data-based convincing argument. Such shift impacts all layers of scholarly; data needs to be archived and kept readily available and interoperable. Scholars across many disciplines are undergoing an important shift in their communication practices; reproducibility, smart data storage, intelligent use of the Web as a platform and not solely as a dissemination channel, business intelligence for e-science content and many others are currently a matter of discussion in the academic community. ScientistsJournalistsGovernment OfficialsBiomedical JournalsThe validation of scientific results requires reproducible methods, which can only be achieved if the same data, processes, and algorithms as those used in the original experiments are available in a complete and computationally amenable form. Although Biomedical journals often ask for “Materials and Methods” and datasets to be made available, reproducing experiments, sharing, reusing and leveraging scientific data is becoming increasingly difficult. Experimental data in scientific disciplines is a Big Data problem; how can we make effective use of scientific data, how should it be semantically represented, interlinked, reused, how to effectively represent experiments in scientific publications? How to bridge the gap between publications and data repositories? Data ManagersAs both, Europe and the US are embarking in big science, namely the Brain Activity Map (BAM) and the Human Brain Project (HBP) massive amounts of data will be generated. Just like in the Human Genome Project as data was produced, the needs for data management grew exponentially; eventually surpassing those inherent to laboratory work. Thus, data standards and ontologies will become more and more necessary. Gaining a deeper understanding of disorders such as schizophrenia, alzheimer, suicide and, amongst others, PTSD will require a much more sophisticated infrastructure than those we have so far seen. How are the semantic web and ontologies supporting reproducibility and replicability in e-research infrastructures. Scholarly data and documents are of most value when they are interconnected rather than independent; how are SW technologies supporting executable documents? Information retrieval in academic digital libraries is still a keyword based process, how can we calculate the semantic similarity across research related documents? What is the ontology landscape in e-science? how are these ontologies being used? how are they being developed? How are Minimal Information Standards being used in e-science? EuropeUnited StatesSepublica 2014 Program CommitteePaolo CiccareseHarvard University, USASteve PettiferUniversity of Manchester, UKKai EckertMannheim University Library, GermanyJodi SchneiderDERI, IrelandSudeshna DasHarvard University, USAAnita de WaardElsevier Labs, USAJun ZhaoUniversity of Oxford, UKKrzysztof JanowiczPennsylvania State University, USATudor GrozaUniversity of Queensland, AustraliaGreg RiccardiFlorida State University, USARobert MorrisHarvard University, USAPhilippe Cudre-MaurouxUniversity of FribourgLeyla Jael GarciaUniversitaet der BundeswehDani VilaUPM, SpainPhilipp MayrGESIS, Germany_2ad2259b-a3bc-11e3-8b9b-369dd566cd33To discuss the Semantics for e-science in an intelligent Big Data context_2ad2259c-a3bc-11e3-8b9b-369dd566cd33Digital DocumentsRealize paper with an API, as a database and knowledge base_2ad2259d-a3bc-11e3-8b9b-369dd566cd331How could we realize a paper with an API? How could we have a paper as a database, as a knowledge base?_2ad2259e-a3bc-11e3-8b9b-369dd566cd33Data & ContextDeliver paper an interface, gateway, to the web of data, in a contextual manner_2ad2259f-a3bc-11e3-8b9b-369dd566cd332How is the paper an interface, gateway, to the web of data? How could such an interface be delivered in a contextual manner?_2ad225a0-a3bc-11e3-8b9b-369dd566cd33NewsAdopt technologies in support of news publications_2ad225a1-a3bc-11e3-8b9b-369dd566cd333News AgenciesHow are news agencies adopting technologies in support of their publications? Has the delivered technology been adopted? What are the experiences from news agencies been so far? Lessons learnt._2ad225a2-a3bc-11e3-8b9b-369dd566cd33RDF(a) & OntologiesUse RDF(a) and ontologies to represent the knowledge encoded in scientific documents and in general-interest media publications_2ad225a3-a3bc-11e3-8b9b-369dd566cd334How could RDF(a) and ontologies be used to represent the knowledge encoded in scientific documents and in general-interest media publications?_2ad225ac-a3bc-11e3-8b9b-369dd566cd33Scientific Data & PublicationsConnect scientific publications with underlying research data sets_2ad22688-a3bc-11e3-8b9b-369dd566cd335Connecting scientific publications with underlying research data sets_2ad2275a-a3bc-11e3-8b9b-369dd566cd33Full Content & LinksMove from the bibliographic reference to the full content within a linked environment_2ad22840-a3bc-11e3-8b9b-369dd566cd336Shouldn't we move from the bibliographic reference to the full content within a linked environment?_2ad2291c-a3bc-11e3-8b9b-369dd566cd33Ontologies & Visualization[Implement] ontology-based visualization of scientific data_2ad22a0c-a3bc-11e3-8b9b-369dd566cd337Ontology-based visualization of scientific data_2ad22af2-a3bc-11e3-8b9b-369dd566cd33Provenance, Quality, Privacy & Trust[Address] provenance, quality, privacy and trust of scientific information_2ad22bd8-a3bc-11e3-8b9b-369dd566cd338Provenance, quality, privacy and trust of scientific information_2ad22cb4-a3bc-11e3-8b9b-369dd566cd33Linked DataLink data for dissemination and archiving of research results, for collaboration and research networks, and for research assessment_2ad22dae-a3bc-11e3-8b9b-369dd566cd339Linked Data for dissemination and archiving of research results, for collaboration and research networks, and for research assessment_2ad22e94-a3bc-11e3-8b9b-369dd566cd33Representations & OntologiesFormally represent scientific data and [provide] ontologies for scientific information_2ad22f7a-a3bc-11e3-8b9b-369dd566cd3310Formal representations of scientific data; ontologies for scientific informationStructural ElementsRepresent structural elements in a document_2ad24bcc-a3bc-11e3-8b9b-369dd566cd3310.1What ontologies do we need for representing structural elements in a document?Rhetorical Structures, Hypotheses & EvidenceCapture the semantics of rhetorical structures in scholarly communication, and of hypotheses and scientific evidence_2ad24bfe-a3bc-11e3-8b9b-369dd566cd3311How can we capture the semantics of rhetorical structures in scholarly communication, and of hypotheses and scientific evidence?_2ad24bff-a3bc-11e3-8b9b-369dd566cd33Quantitative & Qualitative InformationIntegration of quantitative and qualitative scientific information_2ad24c00-a3bc-11e3-8b9b-369dd566cd3312Integration of quantitative and qualitative scientific information_2ad24c01-a3bc-11e3-8b9b-369dd566cd33Case Studies[Document] case studies on linked science_2ad24c02-a3bc-11e3-8b9b-369dd566cd3313Case studies on linked science, i.e., astronomy, biology, environmental and socio-economic impacts of global warming, statistics, environmental monitoring, cultural heritage, etc._2ad24c03-a3bc-11e3-8b9b-369dd566cd332014-05-252014-05-292014-03-04http://sepublica.mywikipaper.org/drupal/OwenAmburOwen.Ambur@verizon.net