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Machine-Driven Meta-Research: The Application of Big Data Approaches to Map Openness and Transparency in the Biomedical Research Literature
Machine-Driven Meta-Research: The Application of Big Data Approaches to Map Openness and Transparency in the Biomedical Research Literature
- Material Type
- 학위논문
- 0015762645
- Date and Time of Latest Transaction
- 20210215114333
- ISBN
- 9798684639791
- DDC
- 614.4
- Author
- Serghiou, Stylianos.
- Title/Author
- Machine-Driven Meta-Research: The Application of Big Data Approaches to Map Openness and Transparency in the Biomedical Research Literature
- Publish Info
- [Sl] : Stanford University, 2020
- Publish Info
- Ann Arbor : ProQuest Dissertations & Theses, 2020
- Material Info
- 171 p
- General Note
- Source: Dissertations Abstracts International, Volume: 82-05, Section: B.
- General Note
- Advisor: Ioannides, Ioannes P.A.;Baiocchi, Michael; Goodman, Steven N.;Sainani, Kristin.
- 학위논문주기
- Thesis (Ph.D.)--Stanford University, 2020.
- Restrictions on Access Note
- This item must not be sold to any third party vendors.
- Subject Added Entry-Topical Term
- Epidemiology
- Index Term-Uncontrolled
- Big data approaches
- Index Term-Uncontrolled
- Openness and transparency
- Index Term-Uncontrolled
- Biomedical research literature
- Added Entry-Corporate Name
- Stanford University.
- Host Item Entry
- Dissertations Abstracts International. 82-05B.
- Host Item Entry
- Dissertation Abstract International
- Electronic Location and Access
- 로그인을 한후 보실 수 있는 자료입니다.
- 소장사항
-
202102 2021
- Control Number
- joongbu:592414
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