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10 results for “bibliographic metadata”
OpenCitations Meta RDF dataset of bibliographic resources metadata and its provenance information
<div> <p>This dataset is a specialized subset of the OpenCitations Meta RDF data, focusing exclusively on data related to <strong>bibliographic resources </strong>(<a href="http://purl.org/spar/fabio/Expression" target="_blank" rel="noopener">http:///purl.org/spar/fabio/Expression</a>). It contains all the metadata and its provenance information, structured specifically around bibliographic resources, in JSON-LD format.</p> <p>The inner folders are named through the <strong>supplier prefix</strong> of the contained entities. It is a prefix that allows you to recognize the entity membership index (e.g., OpenCitations Meta corresponds to <strong>06*0</strong>).</p> <p>After that, the folders have <strong>numeric names</strong>, which refer to the range of contained entities. For example, the 10000 folder contains entities from 1 to 10000. Inside, you can find the <strong>zipped </strong>RDF data.</p> <p>At the same level, additional folders containing the <strong>provenance </strong>are named with the same criteria already seen. Then, the 1000 folder includes the provenance of the entities from 1 to 1000. The provenance is located inside a folder called <strong>prov</strong>, also in zipped JSON-LD format.</p> <p>For example, data related to the entity is located in the folder /br/06250/10000/1000/1000.zip, while information about provenance in /br/06250/10000/1000/prov/se.zip</p> <p>Additional information about OpenCitations Meta at the <a href="https://opencitations.net/meta" target="_blank" rel="noopener">official webpage</a>.</p> <p> </p> </div>
OpenCitations Meta CSV dataset of all bibliographic metadata
<p>This dataset contains all the bibliographic metadata (in CSV format) included in OpenCitations Meta. In particular, each line of the CSV file defines a bibliographic resource, and includes the following information:</p> <ul> <li><strong>[field "id"]</strong> the IDs for the document described within the line;</li> <li><strong>[field "title"]</strong> the document's title;</li> <li><strong>[field "author"]</strong> the authors of the document;</li> <li><strong>[field "pub_date"]</strong> the date of publication;</li> <li><strong>[field "venue"]</strong> information about the venue, i.e. the bibliographical resource to which the document belongs;</li> <li><strong>[field "volume"]</strong> the volume sequence identifier (e.g. a number) to which the entity belongs;</li> <li><strong>[field "issue"]</strong> the issuesequence identifier (e.g. a number) to which the entity belongs;</li> <li><strong>[field "page"]</strong> the page range of the resource described in the row;</li> <li><strong>[field "type"]</strong> the type of resource described in the row;</li> <li><strong>[field "publisher"]</strong> the entity responsible for making the resource available;</li> <li><strong>[field "editor"] </strong>the editors of the document.</li> </ul> <p>This version of the dataset contains:</p> <ul> <li>114,621,237 bibliographic entities</li> <li>298,847,794 authors and 2,465,711 editors (counted by their roles, without disambiguating individual</li> <li>711,711 publication venues</li> <li>241,783 publishers</li> </ul> <p>The zipped dataset weighs 11 GB, while, when extracted, it weighs 46 GB on an ext4 filesystem.</p> <p>Additional information about OpenCitations Meta at <a href="https://opencitations.net/meta" target="_blank" rel="noopener">official webpage</a>.</p>
Raw and aggregated data for the study introduced in the paper "The way we cite: common metadata used across disciplines for defining bibliographic references"
<p>These data have been gathered in the context of a study aiming to investigate citation practices for referencing different types of entities and, in particular, for understanding the most used metadata in bibliographic references. The data are stored in two documents in XLSX format:</p> <ul> <li>file "links-intext-pointers-and-cited-entity-types.xlsx" - it contains information about whether the in-text reference pointers of the various PDF articles of the corpus have specified hypertextual links from the in-text reference pointers to the denoted bibliographic reference, plus information about the types of all the entities cited by each article in the corpus;</li> <li>file "metadata-bibliographic-references.xlsm" - it contains information about the metadata used to identify the various descriptive elements of all the bibliographic references defined in the article of the corpus.</li> </ul> <p>The methodology used to gather all these data is described in:</p> <blockquote> <p>Santos, E. A. d., Peroni, S., Mucheroni, M. L.: Workflow for retrieving all the data of the analysis introduced in the article "Citing and referencing habits in Medicine and Social Sciences journals in 2019". (2020), <a href="https://doi.org/10.17504/protocols.io.bbifikbn">https://doi.org/10.17504/protocols.io.bbifikbn</a></p> </blockquote>
Bibliographic metadata of articles in "Krankenpflege" and "GERONTOLOGIE CH. Praxis + Forschung" published by Swiss university members
<p>The swissuniversities-funded project GOAL (Unlocking the Green Open Access PotentiaL in scholarly and professional journals in Switzerland) aims to develop case scenarios for the semi-automatic inclusion of full-text articles from professional journals in Open Access repositories. These articles originate from journals with which the project has successfully negotiated self-archiving rights. To this end, the project is testing semi-automated workflows that process and enrich bibliographic metadata and full-texts provided by two professional journals. The dataset contains bibliographic metadata of articles published in the two professional journals “Krankenpflege” (ISSN: 0253-0465) and “GERONTOLOGIE CH. Praxis + Forschung” by members of Swiss higher education institutions (HEI). Metadata provided by the publisher itself (Gerontologie CH.) or the database CINAHL Ultimate (“Krankenpflege”) were obtained, enriched, partly checked, and corrected to create a list of articles in tabular form as Excel and CSV of all articles published by Swiss university members between 2020 and 2023. Additionally, a table with the names of all swissuniversities members was created as a reference point to normalize the affiliation data. </p>
Crossref metadata of COCI bibliographic resources, as of November 2018 and LCC categories of the ISBN entities in the dataset
<p>The <em>all.zip</em> CSV file (zipped) contains citation counts obtained from the November 2018 dump of COCI (https://doi.org/10.6084/m9.figshare.6741422.v3) and some metadata (title, DOI, number of authors, ISBN, ISBN of the container, type of the bibliographic resource) of the related citing and cited entities obtained by using the Crossref dump downloaded in October 2018 – which is the same dump used to create the COCI data.</p> <p>In addition, it contains all the Library of Congress Classification (LCC) categories associated with each ISBN in the previous dataset (file <em>isbn_cat_lcc.csv</em>), according to the data retrieved using the services at <a href="http://classify.oclc.org/classify2/api_docs/index.html">http://classify.oclc.org/classify2/api_docs/index.html</a>. Two ancillary mapping files have been also added: one (<em>ddc_to_lcc_mapping.csv</em>) for converting a Dewey Decimal Classification (DDC) categories into LCC categories, in the case the service mentioned above returned only DDC categories for some ISBN; the other (<em>lcc_to_wos_mapping.csv</em>) to map each LCC category into the related <a href="https://images.webofknowledge.com/images/help/WOS/hp_research_areas_easca.html">Web of Science research area</a>.</p>
Raw and aggregated data for the study introduced in the article "An analysis of citing and referencing habits across all scholarly disciplines: approaches and trends in bibliographic metadata errors"
<p>This dataset contains all the raw data and aggregated data subject of the study introduced in the article "An analysis of citing and referencing habits across all scholarly disciplines: approaches and trends in bibliographic metadata errors". The study is based on the bibliographic and citation data contained in 729 articles published in 147 journals in 27 subject areas. The articles contained a total amount of 34,140 bibliographic references and 55,100 mentions and quotations overall.</p> <p>The dataset is composed of a series of files:</p> <ul> <li>the files "subject_area_<discipline-name>.csv" contain the raw data of the articles published in the journals of all the disciplines considered in the study;</li> <li>the file "article_data_summary.csv" contains the aggregated data created considering the raw data in the previous files, which have been used to creating all the tables and figures in the article;</li> <li>the file "starred_metadata_set.csv" contains information about the most used subset of bibliographic metadata;</li> <li>the file "journals_selection.csv" contains information about all the journals selected for the study.</li> </ul>
Bibliographic metadata for Khalīl al-Khūrī's weekly newspaper Ḥadīqat al-Akhbār (حديقة الاخبار) published by in Beirut (1858–65)
<p>This repository contains bibliographic metadata for the first 357 issues of the weekly newspaper <em>Ḥadīqat al-Akhbār</em> published by Khalīl al-Khūrī in Beirut between 1858 and 1865. Digital facsimiles are not publicly available online. Links to ocal facsimiles have been added from #142 onwards.</p> <p>The repository contains machine-actionable bibliographic metadata on the issue level as BibTeX, MODS XML, and Zotero RDF. I produced bootstrapped TEI XML editions for each issue, which link to local copies of facsimiles (not part of this data set).</p> <p>This data set is part of Open Arabic Periodical Editions (<a href="https://openarabicpe.github.io">OpenArabicPE</a>).</p>
Bibliographic Metadata from Zurich University of Teacher Education (PHZH) 2021
<p>The data for this set were extracted from unstructured bibliographic metadata in the online personal portraits of PHZH staff and from the PHZH repository. The two sources were merged, cleaned, and supplemented with relevant parameters regarding a comprehensive Open Access monitoring. The set provides the PHZH data basis for the national Open Access monitoring (<a href="https://oam.oamonitor.ch/">https://oam.oamonitor.ch/</a>) by swissuniversitis/CSAL.</p>
• Bibliographic search on global warming effects and extracted metadata (pH, salinity, oxygen, temperatures, diseases observed in field/ in vitro/ in vivo, clinical signs, pathology, morbidity/mortality);
<p><a><span>B ibliographic search on global warming effects and extracted metadata </span></a><span><span><a href="#_msocom_1" name="_msoanchor_1">[MOU1]</a><span> </span></span></span><span>(pH, salinity, oxygen, temperatures, diseases observed in field/ <em>in</em> <em>vitro</em>/ <em>in</em> <em>vivo</em>, clinical signs, pathology, morbidity/mortality);</span><span></span></p>
James Joyce's Lifetime Library - Bibliographic Metadata
<p>This dataset was compiled and curated out of existing records of James Joyce's personal library and genetic research of Joyce's reading sources. The dataset is linked to a project run by the University of Antwerp which reconstructed Joyce's library for a digital edition. This dataset is an expanded version of the project dataset with extra bibliographic items and metadata categories that were used for research and analysis in my PhD thesis.</p>
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