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Supplementary data for "Undergraduate Gender Diversity and the Direction of Scientific Research" (PART 2)

<p>All files except for "MTI.zip" in this depository are Microsoft Academic Graph data (April 2018 Extract) used for "Undergraduate Gender Diversity and the Direction of Scientific Research"&nbsp;</p> <p>The attribution license of the Microsoft Academic Graph is&nbsp;<a href="https://opendatacommons.org/licenses/by/1-0/">ODC-BY</a></p> <p>Please cite the following paper in publications and reports using the Microsoft Academic&nbsp;Graph:</p> <p>Arnab Sinha, Zhihong Shen, Yang Song, Hao Ma, Darrin Eide, Bo-June (Paul) Hsu, and Kuansan Wang.&nbsp;2015. An Overview of Microsoft Academic Service (MA) and Applications. In Proceedings of the 24th&nbsp;International Conference on World Wide Web (WWW '15 Companion). ACM, New York, NY, USA,&nbsp;243-246. DOI=http://dx.doi.org/10.1145/2740908.2742839</p> <p>PaperAbstractInvertedIndex.txt has been split into 9 parts because the original file is 137GB, which exceeds the upload limit of Zenodo. PaperAbstractInvertedIndex_3.txt to PaperAbstractInvertedIndex_9.txt are available in this repository. See Supplementary data for "Undergraduate Gender Diversity and the Direction of Scientific Research" (PART 1) DOI=10.5281/zenodo.11388912 for remaining data.</p> <p>MTI.zip contains output from Medical Text Indexer. Specifically, the National Library of Medicine offers an online tool, Medical Text Indexer (MTI) (https://lhncbc.nlm.nih.gov/ii/tools/MTI.html), to provide indexing recommendations based on the Medical Subject Headings (MeSH) vocabulary. Specifically, we uploaded to the first 2500 characters of the title and abstract of all papers in our sample in batch mode (Accessed in October 2021). A copy of the output of the MTI is provided as part of this archive "papers_coed_for_MTI_1_output.txt.zip", "papers_coed_for_MTI_2_output.txt.zip", "papers_coed_for_MTI_3_output.txt.zip"</p> <p>To replicate the results in "Undergraduate Gender Diversity and the Direction of Scientific Research", do <strong>not</strong> decompress the PaperAbstractInvertedIndex files and MTI files. Place the PaperAbstractInvertedIndex files in the "data/raw/MAG" directory and place the MTI files in the "data/raw/MTI" directory. The associated code repository can be found at AEA Data and Code Repository (openicpsr-204361).</p> <p>&nbsp;</p> <ul> <li>Affiliations.txt <ul> <li>Description Type</li> <li>Affiliation ID</li> <li>Rank</li> <li>Normalized name</li> <li>Display name</li> <li>Paper count</li> <li>Citation count&nbsp;</li> </ul> </li> <li>Authors.txt <ul> <li>Author ID</li> <li>Rank</li> <li>Normalized name</li> <li>Display name</li> <li>Last known affiliation ID</li> <li>Paper count</li> <li>Citation count</li> </ul> </li> <li>FieldsOfStudy.txt <ul> <li>Field of study ID</li> <li>Rank</li> <li>Normalized name</li> <li>Display name</li> <li>Level</li> <li>Paper count</li> <li>Citation count</li> </ul> </li> <li>FieldsOfStudyChildren.txt <ul> <li>Field of study ID</li> <li>Child field of study ID&nbsp;</li> </ul> </li> <li>Journals.txt <ul> <li>Journal ID</li> <li>Rank</li> <li>Normalized name</li> <li>Display name</li> <li>Paper count</li> <li>Citation count&nbsp;</li> </ul> </li> <li>Papers.txt <ul> <li>Paper ID</li> <li>Rank</li> <li>Doi</li> <li>Doc type</li> <li>Paper title</li> <li>Original title</li> <li>Book title</li> <li>Year</li> <li>Date</li> <li>Publisher</li> <li>Journal ID&nbsp;</li> <li>Conference Series ID</li> <li>Conference instance&nbsp;ID</li> <li>Volume</li> <li>Issue</li> <li>First page</li> <li>Last page&nbsp;</li> <li>Reference count</li> <li>Citation count</li> <li>Estimated citation&nbsp;</li> </ul> </li> <li>PaperAbstractInvertedIndex.txt <ul> <li>Paper ID</li> <li>Abstract</li> </ul> </li> <li>PaperAuthorAffiliations.txt <ul> <li>Paper ID</li> <li>Author ID</li> <li>Affiliation ID</li> <li>Author sequence number&nbsp;</li> </ul> </li> <li>PaperFieldsOfStudy.txt <ul> <li>Paper ID</li> <li>Field of study ID</li> <li>Similarity</li> </ul> </li> <li>PaperReferences.txt <ul> <li>Paper ID</li> <li>Paper reference ID&nbsp;<br><br></li> </ul> </li> </ul>

ShareScore

32/100

Overall dataset sharing score

Score breakdown

These five areas show where the dataset supports — or may limit — practical reuse.

Stewardship
8
Harmonization
8
Access
16
Reuse readiness
0
Engagement
0