Dataset: Poster Sharing Reuse Paper
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Zenodo
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| Autori principali: | , , , , , |
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| Natura: | Recurso digital |
| Lingua: | inglese |
| Pubblicazione: |
Zenodo
2026
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| _version_ | 1866902302354309120 |
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| author | Gasimova, Aydan Mensah-Kane, Paapa Blake, Gerard F. Soundarajan, Sanjay O'Neill, James Patel, Bhavesh |
| author_facet | Gasimova, Aydan Mensah-Kane, Paapa Blake, Gerard F. Soundarajan, Sanjay O'Neill, James Patel, Bhavesh |
| contents | <h2>About</h2> <p>Scientific posters are one of the most common forms of scholarly communication, with millions presented at conferences each year. They contain early-stage insights that, if shared beyond the conference, could accelerate scientific discovery. This dataset contains the data files related to our analysis of poster sharing and reuse. See this <a href="https://github.com/fairdataihub/poster-sharing-reuse-paper-inventory">inventory</a> for all related resources, including the paper.</p> <h2>Standards followed</h2> <p>This dataset is structured according to the SPARC Data Structure v3.0.2 (c.f. <a href="https://doi.org/10.1101/2021.02.10.430563">related manuscript</a> and <a href="https://docs.sparc.science/docs/navigating-a-sparc-dataset#sparc-dataset-structure">documentation</a>) and curated using the SPARC data curation software <a href="https://github.com/fairdataihub/SODA-for-SPARC">SODA v17.0.0</a>.</p> <h2>Using the dataset</h2> <p>Simply download this dataset. The main data files are in the <code>primary</code> folder. The <code>derivative</code> folder contains data files derived from the primary files. There is a <code>manifest.xlsx</code> file at the root level that describes all the files. See this <a href="https://github.com/fairdataihub/poster-sharing-reuse-paper-inventory">inventory</a> for a link to the Jupyter notebook we developed to analyze and visualize the data.</p> <h2>License</h2> <p>This work is licensed under a Creative Commons Attribution 4.0 International License (see LICENSE file).</p> <h2>How to cite</h2> <p>If you use this dataset, please follow the citation instruction presented on Zenodo.</p> |
| format | Recurso digital |
| id | zenodo_https___doi_org_10_5281_zenodo_18750131 |
| institution | Zenodo |
| language | eng |
| publishDate | 2026 |
| publisher | Zenodo |
| record_format | zenodo |
| spellingShingle | Dataset: Poster Sharing Reuse Paper Gasimova, Aydan Mensah-Kane, Paapa Blake, Gerard F. Soundarajan, Sanjay O'Neill, James Patel, Bhavesh FAIR data Poster reuse <h2>About</h2> <p>Scientific posters are one of the most common forms of scholarly communication, with millions presented at conferences each year. They contain early-stage insights that, if shared beyond the conference, could accelerate scientific discovery. This dataset contains the data files related to our analysis of poster sharing and reuse. See this <a href="https://github.com/fairdataihub/poster-sharing-reuse-paper-inventory">inventory</a> for all related resources, including the paper.</p> <h2>Standards followed</h2> <p>This dataset is structured according to the SPARC Data Structure v3.0.2 (c.f. <a href="https://doi.org/10.1101/2021.02.10.430563">related manuscript</a> and <a href="https://docs.sparc.science/docs/navigating-a-sparc-dataset#sparc-dataset-structure">documentation</a>) and curated using the SPARC data curation software <a href="https://github.com/fairdataihub/SODA-for-SPARC">SODA v17.0.0</a>.</p> <h2>Using the dataset</h2> <p>Simply download this dataset. The main data files are in the <code>primary</code> folder. The <code>derivative</code> folder contains data files derived from the primary files. There is a <code>manifest.xlsx</code> file at the root level that describes all the files. See this <a href="https://github.com/fairdataihub/poster-sharing-reuse-paper-inventory">inventory</a> for a link to the Jupyter notebook we developed to analyze and visualize the data.</p> <h2>License</h2> <p>This work is licensed under a Creative Commons Attribution 4.0 International License (see LICENSE file).</p> <h2>How to cite</h2> <p>If you use this dataset, please follow the citation instruction presented on Zenodo.</p> |
| title | Dataset: Poster Sharing Reuse Paper |
| topic | FAIR data Poster reuse |
| url | https://doi.org/10.5281/zenodo.18750131 |