Data from: Data archiving is a good investment

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Data from: Data archiving is a good investment
Piwowar, Heather A.; Vision, Todd J.; Whitlock, Michael C., 2011, "Data from: Data archiving is a good investment", https://doi.org/10.5683/SP2/OMN3WB, Borealis, V1
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Description
Abstract
Funding agencies are reluctant to support data archiving, even though large research funders such as the National Science Foundation (NSF) and the National Institutes of Health acknowledge its importance for scientific progress. Our quantitative estimates of data reuse indicate that ongoing financial investment in data-archiving infrastructure provides a high scientific return. (2020-06-24)
Usage notes
PubMed Central reuse of GEO datasets deposited in 2007This is the raw data behind the analysis. It contains one row for every mention of a 2007 GEO dataset in PubMed Central. Each row identifies the mentioned GEO dataset, the PubMed Central article that mentions the dataset's accession number, whether the authors of the dataset and the attributing article overlap, and whether this is considered an instance of third-party data reuse.PMC_reuse_of_2007_GEO_datasets.csv
Aggregate Table DataAggregate table data behind the figures and results in the README associated with the main dataset. Includes Baseline metrics used for extrapolating PubMed Central (PMC) results to PubMed, Number of mentions of a 2007 GEO dataset by authors who submitted the dataset, and Number of mentions of a dataset by authors who DID NOT submit the dataset across 2007-2010.tables.csv
(2020-06-24)
Subject Other
Keyword research funding, entrez, PubMed Central, data archives, return on investment, Data reuse, Text mining, Data sharing, Gene Expression Omnibus
Related Publication Article
Notes

Dryad version number: 1

Version status: submitted

Dryad curation status: Published

Sharing link: https://datadryad.org/stash/share/NzsOllaWSKkxj0LtDg7aEDbfn2fp8SKPnwP_risRHlw

Storage size: 2609901

Visibility: public

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dryad_j1fd7.json
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PMC_reuse_of_2007_GEO_datasets.csv
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Published May 19, 2021
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MD5: 1bfc5f0f05efb9c4d8abe042ecd8a66f
This is the raw data behind the analysis. It contains one row for every mention of a 2007 GEO dataset in PubMed Central. Each row identifies the mentioned GEO dataset, the PubMed Central article that mentions the dataset's accession number, whether the authors of the dataset and the attributing article overlap, and whether this is considered an instance of third-party data reuse.
README_for_PMC_reuse_of_2007_GEO_datasets.pdf
README_for_PMC_reuse_of_2007_GEO_datasets.pdf
Adobe PDF - 729.9 KB
Published May 19, 2021
2 Downloads
MD5: 8ebe9f0e0eef67d94d46a4f2d3dede56
This is the raw data behind the analysis. It contains one row for every mention of a 2007 GEO dataset in PubMed Central. Each row identifies the mentioned GEO dataset, the PubMed Central article that mentions the dataset's accession number, whether the authors of the dataset and the attributing article overlap, and whether this is considered an instance of third-party data reuse.
Preview "README_for_PMC_reuse_of_2007_GEO_datasets.pdf"
tables.csv
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Published May 19, 2021
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MD5: 76330f8572ab638692ce80a14f9ac977
Aggregate table data behind the figures and results in the README associated with the main dataset. Includes Baseline metrics used for extrapolating PubMed Central (PMC) results to PubMed, Number of mentions of a 2007 GEO dataset by authors who submitted the dataset, and Number of mentions of a dataset by authors who DID NOT submit the dataset across 2007-2010.
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