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occCite: Tools for querying and managing large biodiversity occurrence datasets
https://oist.repo.nii.ac.jp/records/2203
https://oist.repo.nii.ac.jp/records/22036b09005f-e356-4af1-be73-3bbd17a61458
名前 / ファイル | ライセンス | アクション |
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ecog.05618 (1.2 MB)
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Item type | 学術雑誌論文 / Journal Article(1) | |||||
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公開日 | 2021-08-24 | |||||
タイトル | ||||||
言語 | en | |||||
タイトル | occCite: Tools for querying and managing large biodiversity occurrence datasets | |||||
言語 | ||||||
言語 | eng | |||||
キーワード | ||||||
主題Scheme | Other | |||||
主題 | citations | |||||
キーワード | ||||||
主題Scheme | Other | |||||
主題 | database aggregation | |||||
キーワード | ||||||
主題Scheme | Other | |||||
主題 | metadata | |||||
キーワード | ||||||
主題Scheme | Other | |||||
主題 | presence-only data | |||||
キーワード | ||||||
主題Scheme | Other | |||||
主題 | R package | |||||
資源タイプ | ||||||
資源タイプ識別子 | http://purl.org/coar/resource_type/c_6501 | |||||
資源タイプ | journal article | |||||
著者(英) |
Owens, Hannah L.
× Owens, Hannah L.× Merow, Cory× Maitner, Brian S.× Kass, Jamie M.× Barve, Vijay× Guralnick, Robert P. |
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書誌情報 |
en : Ecography 巻 44, 号 8, p. 1228-1235, 発行日 2021-06-21 |
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抄録 | ||||||
内容記述タイプ | Other | |||||
内容記述 | The amount of observational and specimen-based biodiversity data available to researchers is increasing exponentially, yet the ability to manage and cite large, complex biodiversity datasets lags behind. This management and citation gap impedes reproducibility for data users and the ability for data publishers to track use and accumulate use citations, ultimately harming the longer-term sustainability of the still-emerging enterprise of research data-sharing. Here we present an R package, occCite (v. 0.4.7), to aid researchers in querying large species occurrence data aggregators (specifically, the Global Biodiversity Information Facility, GBIF, and the Botanical Information and Ecology Network, BIEN), and store metadata such as primary data providers, database accession dates, DOIs, and the taxonomic source used for search terms. occCite also includes tools to summarize and visualize query results and generate citation lists of all data providers and software packages used during the query process. We provide examples of a basic occurrence search and citation workflow as well as an advanced workflow using features for custom optimized searches, visualization, and summary procedures. occCite improves upon existing R packages by uniting data from powerful API-based query packages (rgbif and BIEN) into a unified object-based framework, while maintaining metadata vital to best-practice recommendations for documenting biodiversity analysis workflows. occCite aims to efficiently close the gap in the citation cycle between primary data providers and final research products, allowing researchers to meet dataset documentation standards without sacrificing time and resources to the demands of providing increasing levels of detail on their datasets. | |||||
出版者 | ||||||
出版者 | John Wiley & Sons Ltd on behalf of Nordic Society Oikos | |||||
ISSN | ||||||
収録物識別子タイプ | ISSN | |||||
収録物識別子 | 0906-7590 | |||||
ISSN | ||||||
収録物識別子タイプ | ISSN | |||||
収録物識別子 | 1600-0587 | |||||
DOI | ||||||
関連タイプ | isIdenticalTo | |||||
識別子タイプ | DOI | |||||
関連識別子 | info:doi/10.1111/ecog.05618 | |||||
権利 | ||||||
権利情報 | © 2021 The Author(s). | |||||
関連サイト | ||||||
識別子タイプ | URI | |||||
関連識別子 | https://onlinelibrary.wiley.com/doi/10.1111/ecog.05618 | |||||
著者版フラグ | ||||||
出版タイプ | VoR | |||||
出版タイプResource | http://purl.org/coar/version/c_970fb48d4fbd8a85 |