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        "\"Die Österreichische Systematik der Wissenschaftszweige 2012 (ÖFOS 2012) ist die auf die österreichischen Gegebenheiten abgestimmte Version der revidierten internationalen Klassifikation 'Fields of Science and Technology' (FOS), deren Anwendung im internationalen Vergleich und insbesondere innerhalb des europäischen statistischen Systems verbindlich ist. Die ÖFOS 2012 besteht aus 6 Hauptgruppen: Naturwissenschaften (1), Technische Wissenschaften (2), Humanmedizin, Gesundheitswissenschaften (3), Agrarwissenschaften, Veterinärmedizin (4), Sozialwissenschaften (5) und den Geisteswissenschaften (6). Diese 1-Steller sind in 42 3-stelligen Gruppen unterteilt. Damit in der neuen österreichischen Wissenschaftszweige-Systematik auch auf die nationalen Gegebenheiten genauer eingegangen werden kann, wurden - unter Berücksichtigung der Erläuterungen der internationalen Klassifikation - diese 3-Steller mit weiteren Untergruppen (4-Stellern) versehen. In jenen Gruppen, die derzeit keine weitere Unterteilung aufweisen, hat der 3-Steller dieselbe Bezeichnung wie die Untergruppe (4-Steller, z.B. Mathematik: 101 bzw. 1010).\""
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      "en": [
        "\"The Austrian Systematics of the Sciences 2012 (ÖFOS 2012) is the version of the revised International Classification of Fields of Science and Technology (FOS), adapted to the Austrian situation, whose application is binding in international comparison, and particularly within the European statistical system ÖFOS 2012 consists of 6 main groups: natural sciences (1), technical sciences (2), human medicine, health sciences (3), agricultural sciences, veterinary medicine (4), social sciences (5) and the humanities (6) 3-digit groups In order to be able to deal more closely with the national situation in the new Austrian system of scientific branches, these 3-positioners were provided with further subgroups (4-positioners), taking into account the explanations of the international classification Groups, currently no , The 3-positioner has the same designation as the subgroup (4-positioner, e.g. Mathematics: 101 and 1010 respectively). \""
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      "en": [
        "\"This taxonomy provides a structure for identifying human factors for the purpose of scientific research and system test and evaluation. The information contained in this document is provided as guidance, not mandated as direction. This taxonomy can be considered during the planning, conduct, and analysis of human factors. The objectives of this taxonomy are to: (1) identify an extensive list of human factors, (2) promote commonality in nomenclature and units of measurement, and (3) enable the development and use of a common human-factors taxonomy for data collection and data processing. The purpose of this Guide is to aid the reader in identifying human factors. The reader is assumed to have a basic knowledge of experimental design, statistics, and human performance. This Guide may also be used for task analysis. The purpose of analyzing performance of selected tasks, subtasks, and task elements contained in the task inventory by addressing the lowest taxonomic level specified by the procuring activity is to describe task performance in terms of human performance time and accuracy. The product of the analytic effort is intended for use in support of equipment design, testing and evaluation, training requirements identification, manning and workload assessment, development of training and maintenance manuals, and other documentation and reporting.\""
      ]
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    "prefLabel": {
      "en": "Human-Factors Taxonomy"
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    "publisher": [
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          "en": "Military Operations Research Society"
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        "uri": "http://viaf.org/viaf/142016336"
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      "en": [
        "\"Leeds University Library has a unique classification scheme.\""
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    "modified": "2019-04-23T15:50:00Z",
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    "created": "2016-10-31T14:49:00Z",
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        "\"Scientific workflows have been increasingly used in the last decade as an instrument for data intensive science. Workflows serve a dual function: first, as detailed documentation of the scientific method used for an experiment (i. e. the input sources and processing steps taken for the derivation of a certain data item), and second, as re-usable, executable artifacts for data-intensive analysis. Scientific workflows are composed of a variety of data manipulation activities such as Data Movement, data transformation, Data Analysis and Data Visualization to serve the goals of the scientific study. The composition is done through the constructs made available by the workflow system used, and is largely shaped by the function undertaken by the workflow and the environment in which the system operates. (...) This document specifies the classes and properties of the Workflow Motifs ontology, the OWL 2 encoding ot the aforementioned motif catalogue. The goal of this ontology is to provide the means to annotate workflows and their steps with the motifs of the vocabulary, without setting any restriction on how the workflows are defined themselves.\""
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      "country": "United Kingdom"
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    "created": "2017-02-22T17:03:00Z",
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        "\"In 2013, it became apparent that the publication ethics cases being brought to COPE for discussion and advice were becoming more complex.  A new and more comprehensive classification scheme was therefore developed to make it easier to code cases, to aid searching, and to provide a finer level of detail for analysis. The resulting COPE Case Taxonomy comprises 18 main classification categories and 100 keywords and is designed to be descriptive not judgemental.\n\nAll the cases in COPE’s database were recoded and all new cases are being coded according to the new taxonomy (up to two classifications, denoting the main topics discussed, and 10 keywords can be assigned per case). It is important to note that classification and keyword coding denotes that a topic was raised and discussed, not that a particular form of publication misconduct had occurred.\n\nThe COPE Case Taxonomy is available, with appropriate attribution, for use by other organizations and individuals. Attribution should include the version date and number, and a link to the taxonomy on COPE’s website.\""
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      "http://w3id.org/nkos/nkostype#taxonomy"
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    "uri": "http://bartoc.org/en/node/18454",
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        "\"The Narcis Classification is a framework of codes with which institutes and experts are classified and can be retrieved. The D code classifies on scientific disciplines. The classification also contains an E code. This code includes some interdisciplinary research fields. The Narcis Classification has been revised in the year 2015.\n\nThe Narcis Classification is used among others in the scientific portal Narcis, https://www.narcis.nl.\""
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        "\"The e-Science Thesaurus is a resource that supports and provides direction to the health sciences and science and technology library community by exploring the terminology, literature, and resources that describe and inform librarians about patron instruction, collection development, and research services related to e-Science and research data management principles and practice. The Thesaurus strives to describe the concepts, services, tools and resources required to create, curate, preserve and disseminate digital scholarship. (...) Through the NER’s e-Science Portal, the e-Science Thesaurus serves as a resource to provide an educational reference for health sciences and science and technology librarians wanting to explore e-Science, research data management and digital scholarship activities. The objective of this project is to inform the library community about emerging roles and services in e-Science and research data management by introducing vocabulary terms, formative literature, and relevant resources concerning these topics. Through this effort, the Thesaurus aspires to be a resource that will provide health sciences librarians with the opportunity to acquire professional knowledge about e-Science, research data management, and digital scholarship in order to become familiar with and implement these activities into their own professional practice.\""
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      "en": [
        "\"STRUNA is a database of Croatian Special Field Terminology. It was officially inaugurated on the web in February 2012. Its aim is to gradually make available to the public the standardized Croatian terminology for all professional domains.\n\nThe Development of Croatian Special Field Terminology project started in 2007 as part of the initial coordination project launched at the initiative of the Croatian Standard Language Council, and has since been financed by the Croatian Science Foundation. The program supports the strategic values of the Foundation and fits into two basic areas of the National Strategy for Science Development – development of information technology and sociocultural transition from an industrial to a knowledge-based society. The Institute of Croatian Language and Linguistics was chosen to serve as the national coordinator.\n\nGiven the pivotal role terminology plays in language development as well as professional communication, the objective of the program in a broader sense is to lay the foundation for the development of national terminology policy, to establish various forms of more structured education in this field, and to intensify long-term cooperation with national and international academic and other institutions dealing with different aspects of terminology work, with the Croatian Standards Institute and with other interested parties. (...)\n\nExperts from eighteen domains have so far joined the program with the aim of standardazing the terminology of their respective disciplines. Currently available for search are the terminologies of the following domains: aviation and air traffic, cartography and geoinformatics, chemistry, civil engineering, corrosion, dental medicine, marine engineering, mechanical engineering, polymers, and physics. Maritime terminology, anthropological terminology, and EU law terminology are in the final stage and the domains of phytomedicine, mathematics and archaeology in the process of joining the program.\""
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    ]
  }
]