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58 results for “copyright”
Semantic annotation of a part of the Italian Copyright Legislation
<p>The dataset is a structured JSONL file focusing on copyright law. Each entry contains key fields that annotate legal texts, mainly in Italian. These fields include:</p> <p>1. ID: A unique numerical identifier.</p> <p>2. Text: Contains the actual legal provisions.</p> <p>3. Chapter ID & Heading: Identifiers and titles for chapters, categorizing the legal text.</p> <p>4. Article and Paragraph ID: Further break down of the text into articles and paragraphs.</p> <p>5. Insertions: Highlights inserted text fragments in the legal text.</p> <p>6. References: Cites external references with URLs and descriptions.</p> <p>7. Entities: Labels sections of the text, identifying their beginning and ending offsets.</p> <p>8. Relations: Intended to describe relationships between entities, although this field is empty in the sample.</p> <p>9. Comments: A field for comments, also empty in the sample.</p> <p> </p>
Aerial view of part of the Bisti badlands from an elevation of approximately 8500 feet. Exposed here are the Upper Cretaceous Fruitland and Kirtland Formations. Photograph taken the morning of 13 April 1992. Copyright © Paul L. Sealey. 1992. in Stratigraphy, paleontology and age of the Fruitland and Kirtland Formations (upper Cretaceous), San Juan Basin, New Mexico
Aerial view of part of the Bisti badlands from an elevation of approximately 8500 feet. Exposed here are the Upper Cretaceous Fruitland and Kirtland Formations. Photograph taken the morning of 13 April 1992. Copyright © Paul L. Sealey. 1992.
Know Your Research Rights: The Legal Perspective on Copyright and Open Science
<p><strong>Episode Summary:</strong></p> <p>In this episode we talk to two copyright lawyers, Malcolm Bain and Lucrezia Berto, about what the legal framework of research creation and sharing is. Who owns your research? What needs to be considered before you make it open? </p> <p><strong>Episode Links:</strong></p> <p><a href="https://acrosslegal.com/en/">Across Legal</a></p> <p><a href="https://www.linkedin.com/in/malcolm-bain-9216415/?originalSubdomain=es">Malcolm Bain</a></p> <p><a href="https://www.linkedin.com/in/lucrezia-berto/?originalSubdomain=es">Lucrezia Berto</a></p>
A survey of access to the digital collections of 195 UK GLAMs across internal and external platforms - Appendix 1 for A Culture of Copyright: A scoping study on open access to digital cultural heritage collections in the UK
<p>Created for the<a href="https://doi.org/10.5281/zenodo.6242611"> 'A Culture of Copyright: A scoping study on open access to digital cultural heritage collections in the UK' </a>report, this sample replicates and expands the Open galleries, libraries, archives and museums (GLAMs) Survey data extraction and methodology to include a range of GLAMs across the UK and new data points. The initial sample of 350 organisations included Independent Research Organisations (IROs) and Research Centre Institutes (RCIs), GLAMs associated with <a href="https://www.nationalcollection.org.uk/">Towards a National Collection</a> Foundation and Discovery projects, UK GLAMs in the Open GLAM Survey, and other UK GLAMs and related organisations. An initial review was performed to identify and remove organisations outside the scope of inquiry (<em>e.g.</em>, no permanent collections). The final sample included 195 organisations.</p> <p>From the final sample, 24 are IROs (all RCIs were removed). Another 32 are Universities (including GLAMs within universities). This brings the total number of organisations eligible for AHRC funding to 56 (or 28.6%). The remaining 140 include public and private GLAMs at national, regional and local levels (<em>e.g., </em>councils, historic buildings) and research initiatives or data aggregators (<em>e.g.,</em> Portable Antiquities Scheme, Culture Grid, Archaeology Data Service). Organisations are distributed across the UK as follows: Channel Islands (1 total); England (154 total); Isle of Man (1 total); Northern Ireland (5 total); Scotland (28 total); Wales (6 total).</p> <p>A survey of the copyright and open access policies of 63 GLAMs from the UK GLAM Sample is available on Zenodo at: <a href="https://doi.org/10.5281/zenodo.6242559">https://doi.org/10.5281/zenodo.6242559</a></p>
MJFF Data Community - Creative Commons Training: Copyright and Open Licensing
<p>This training, provided by Shanna Hollich, the Learning and Training Manager of Creative Commons (CC), was hosted by the Michael J. Fox Foundation's Data Community of Practice (DCOP). For more information on the DCOP, please contact: researchcommunity@michaeljfox.org.</p> <p>In the ever-evolving digital landscape, the management of research outputs, including data licensing and copyright, is of utmost importance. This 1.5-hour training provided a forum for participants to learn more about open licensing and copyright. It also aimed to equip participants with the knowledge and best practices they need to effectively navigate the complexities of CC licensing and copyright when using and generating research outputs such as scholarly publications, datasets, and white papers.<br><br>By the end of the workshop, participants developed an understanding of the basic principles of copyright, how it works, and where it applies. Participants are now able to describe the benefits of open licensing and the basics of how Creative Commons licenses work, have a deeper understanding of how research outputs interact with copyright and open licensing, and know where to find additional information and resources.</p> <p>To access a stream of this video with variable resolution, please <a href="https://share.vidyard.com/watch/5vMMsxsZK6q48yNHsDTkPe" target="_blank" rel="noopener">visit this link</a>.</p>
Prototyping 3D Virtual Learning Environments with X3D-based Content and Visualization Tools-Figure 11. Online accessible repository of digital data on cultural heritage with X3D models (STARC Web Repository, 2017, © Copyright 2017, STARC, Cyprus Institute. Used with permission)
<p>Prototyping can also include the development of toolkits for automatic content generation simulator, but in the case of an architectural environment, the components are too complex to be automatically generated. Furniture elements or the learning artifacts (i.e. content created by learners) can be converted to be viewed in X3D compatible browsers or included in online galleries (Figure 11). After functional and 3D content prototyping, certain components of the virtual campus can be easily modified and adapted as needed.</p>
Text-fig. 1. Geographic position of the beaver-bearing sites discussed in this paper. Red triangles – records of Castor, blue dots – records of Trogontherium. Bilz II – Bilzingsleben II, Ehr – Weimar-Ehringsdorf, Mosb 2 – Mosbach 2, Taub – Weimar-Taubach, Teg – Tegelen. (This map was created using ArcGIS® software by Esri. ArcGIS® and ArcMap™ are the intellectual property of Esri and are used herein under license. Copyright © Esri). in Mortality Profiles Of Castor And Trogontherium (Mammalia: Rodentia, Castoridae), With Notes On The Site Formation Of The Mid-Pleistocene Hominin Locality Bilzingsleben Ii (Thuringia, Central Germany)
Text-fig. 1. Geographic position of the beaver-bearing sites discussed in this paper. Red triangles – records of Castor, blue dots – records of Trogontherium. Bilz II – Bilzingsleben II, Ehr – Weimar-Ehringsdorf, Mosb 2 – Mosbach 2, Taub – Weimar-Taubach, Teg – Tegelen. (This map was created using ArcGIS® software by Esri. ArcGIS® and ArcMap™ are the intellectual property of Esri and are used herein under license. Copyright © Esri).
Audiovisual Materials in Research and Teaching – an Overview of Copyright Aspects
<p>Das <i>Rechtsgutachten</i> (Neuauflage der Fassung von 2015) erläutert, wie <i>audiovisuelle Materialien</i> in Forschung und Lehre genutzt werden dürfen. Es stellt dar, in welchen Fällen Forschende eine Erlaubnis einholen müssen und in welchen die Nutzung gesetzlich erlaubt ist.</p><p>Dies ist die <strong>Datenpublikation</strong> (Ausgangsdateien, Abbildungen, Materialien zur Nachnutzung) für die NFDI4Culture Handreichung "Audiovisuelle Materialien in Forschung und Lehre – eine Übersicht zu urheberrechtlichen Aspekte".</p><p><strong>Die Online-Handreichung ist verfügbar unter </strong><a href="https://nfdi4culture.de/go/E4105"><strong>https://nfdi4culture.de/go/E4105</strong></a><strong>.</strong></p>
Music Librarian Copyright Knowledge Survey Results
<p>This dataset came from a survey sent to U.S. music librarians to measure their perceived vs. actual copyright knowledge.</p>
EU-member States Copyright Laws with Open Access Amendments
<p>This spreadsheet displays information on existing or scheduled copyright laws with an Open Access amendment in EU-member states. The information is generated from using the respective websites being mentioned in the sheet. </p> <p>Data collection, sharing, feedback and corrections:Information was initially collected in 2016 for Knowledge Exchange and the Dutch Library Consortium (UKB) and publicly shared in 2017; more information will continue to be added. The spreadsheet is open to corrections, additions and remarks from anyone. Use the comments function or approach the creator via twitter or email.</p> <p>Acknowledgements: Thanks to Knowledge Exchange OA expert group members for input</p>
Votação PT Parlamento Europeu Mandato Copyright
<p>Dados e gráficos sobre a votação dos deputados Portugueses no Parlamento Europeu sobre o mandato no contexto da Reforma Europeia do Direito de Autor. </p>
Research exceptions in copyright laws around the world in Legal reform to enhance global text and data mining research.
Research exceptions in copyright laws around the world
Partial collection of LynxDocuments of the Italian Copyright legislation
<p>The dataset is organized as LynxDocuments and is designed to annotate Italian copyright law. Compliant with the Lynx framework for legal document management, this dataset is particularly relevant for legal informatics and semantic web technologies. It employs various RDF vocabularies and ontologies to ensure structured and machine-readable annotations.</p> <p>Key Features:</p> <p>1. Lynx Compliant Structure: The dataset is tagged as `lkg:LynxAnnotation`, aligning it with the Lynx ontology. This makes it easily integrable into broader legal informatics platforms that use the Lynx standard.</p> <p>2. Content Scope: The dataset includes detailed legal provisions found within the `nif:anchorOf` and `nif:annotationUnit` fields. These provisions elaborate on the categories of creative works protected under Italian copyright law, such as literature, music, arts, and software.</p> <p>3. Legal Context: Specific references to existing legal frameworks, including the "Convenzione di Berna" and "legge 20 giugno 1978, n. 399," are provided, thereby adding context to the legal provisions.</p> <p>4. Types of Creative Works: The dataset goes beyond general categories to specify various forms of protectable works, including collective works and software.</p> <p>5. Semantic Annotations: Annotations are ontology-based, primarily using labels like `schema1:CreativeWork`. These semantic tags aid in automated reasoning and facilitate data integration across multiple legal documents.</p> <p>6. Metadata: The dataset includes metadata fields like `ns1:taConfidence` for confidence scores and `ns1:taAnnotatorsRef` for annotator references, adding an additional layer of credibility and accountability.</p>
Dataset: Open Access: An Analysis of Publisher Copyright and Licensing Policies in Europe, 2020
<p>This dataset supports the SPARC Europe study that investigates the copyright retention policy amongst publishers, self-archiving policies and records publisher policies on open licensing, also as relating to the Plan S requirements on rights and licensing. The report can be found here: 10.5281/zenodo.4046624)</p> <p><strong>Data reuse information</strong></p> <p>These data were compiled by Chris Morrison and Jane Secker as part of the above-mentioned research project. For more information on how the data were produced and verified see 3.3 of the report 10.5281/zenodo.4046624. There are two sets of data with supporting information that are made available under different reuse terms.</p> <p><strong>1. DOAJ dataset</strong></p> <p>The file "DOAJ data May2020" was extracted from the Directory of Open Access Journals on 10 May 2020 and represents an analysis of the data (which is (c) 2020 DOAJ) by Chris Morrison and Jane Secker. The dataset is licensed under CC BY-SA following the DOAJ data licence.</p> <p><strong>2. 10 large publishers dataset</strong></p> <p>The file "Academic Publishers Copyright Policies and Practices Table" was created by Chris Morrison and Jane Secker and is provided under CC0 dedication.</p> <p>The remaining files provide information from publisher websites and directly from publisher representatives and remain (c) of each respective organisation.</p>
Dataset - Copyrights Transfer Agreement
<p>Data kami berasal dari basis data SINTA (2020) dan Scimagojr (Scimagojr,<strong> </strong>2020) dengan total 25 jurnal, terdiri dari 15 jurnal nasional (penerbit berdomisili di Indonesia) dan 10 jurnal luar negeri (penerbit berdomisili di luar Indonesia). </p> <p>Untuk jurnal nasional, kami memilih (1) Sepuluh jurnal yang masuk kategori SINTA 1; (2) Dua jurnal yang masuk SINTA 3, dan (3) Tiga jurnal yang belum masuk daftar SINTA (SINTA 0). Untuk jurnal internasional, kami menggunakan daftar SJR pada kategori <em>Arts and H</em>umanities (3 jurnal teratas), kategori <em>Demography</em> (3 jurnal teratas) dan <em>Earth and P</em>lanetary <em>S</em>ciences (4 jurnal teratas).</p>
Supplementary material 1 from: Egloff W, Agosti D, Kishor P, Patterson D, Miller J (2017) Copyright and the Use of Images as Biodiversity Data. Research Ideas and Outcomes 3: e12502. https://doi.org/10.3897/rio.3.e12502
Interactive 3D content
Supplementary material 2 from: Egloff W, Agosti D, Kishor P, Patterson D, Miller J (2017) Copyright and the Use of Images as Biodiversity Data. Research Ideas and Outcomes 3: e12502. https://doi.org/10.3897/rio.3.e12502
Interactive 3D content
Figure 9b from: Egloff W, Agosti D, Kishor P, Patterson D, Miller J (2017) Copyright and the Use of Images as Biodiversity Data. Research Ideas and Outcomes 3: e12502. https://doi.org/10.3897/rio.3.e12502
Figure 9b - The ant Odontomachus simillimus on AntWeb (2017) (CASENT0172667), same specimen as top row in (a).
Figure 9c from: Egloff W, Agosti D, Kishor P, Patterson D, Miller J (2017) Copyright and the Use of Images as Biodiversity Data. Research Ideas and Outcomes 3: e12502. https://doi.org/10.3897/rio.3.e12502
Figure 9c - The ant Acanthognathus ocellatus on AntWeb (2017) (USNMENT00445730); (b) and (c) were contributed by different research labs both following AntWeb's imaging protocol to facilitate comparison.
Figure 8b from: Egloff W, Agosti D, Kishor P, Patterson D, Miller J (2017) Copyright and the Use of Images as Biodiversity Data. Research Ideas and Outcomes 3: e12502. https://doi.org/10.3897/rio.3.e12502
Figure 8b - Scanning electron microscope images comparing the spinnerets of various spider species, from Ramírez et al. (2014); anterior lateral spinnerets: E, C, male, others female; A, B, Austrochilidae: Thaida pecularis; C, Tengellidae: Tengella radiata; D, Homalonychidae: Homalonychus theologius; E, F, Penestomidae: Penestomus egazini).
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