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  • About
  • The Global ETD Search service is a free service for researchers to find electronic theses and dissertations. This service is provided by the Networked Digital Library of Theses and Dissertations.
    Our metadata is collected from universities around the world. If you manage a university/consortium/country archive and want to be added, details can be found on the NDLTD website.
1

Retractions, Post-Publication Peer Review and Fraud: Scientific Publishing's Wild West

Oransky, Ivan 27 October 2016 (has links)
Presentation given on October 27, 2016 at Data Reproducibility: Integrity and Transparency program as part of Open Access Week 2016. / Ivan Oransky and Adam Marcus founded Retraction Watch in 2010. Unbeknownst to them, retractions had grown ten-fold in the previous decade. Oransky will discuss the reasons for that increase, whether fraud is on the rise, the growth of post-publication peer review, and other trends he and Marcus have seen as they've built a site that is now viewed by 150,000 people per month, and funded by philanthropies including the MacArthur and Arnold Foundations.
2

Rigor and Transparency i.e., How to prevent the zombie paper Apocalypse

Bandrowski, Anita 27 October 2016 (has links)
Presentation given on October 27, 2016 at Data Reproducibility: Integrity and Transparency program as part of Open Access Week 2016. / The NIH is now requiring the authentication of Key Biological Resources to be specified in a scored portion of most grant applications, but what does it mean to authenticate? We will discuss what Key Biological Resources are, the ongoing efforts to understand how to authenticate them and of course the resources available, including examples. The journal response to authentication will also be pointed to and practical steps that every researcher can take today to improve reporting of research in scientific publication.
3

Sharing Specifications or Repeatability in Computer Systems Research

Collberg, Christian S, Proebsting, Todd A. 27 October 2016 (has links)
Presentation given on October 27, 2016 at Data Reproducibility: Integrity and Transparency program as part of Open Access Week 2016. / We describe a study into the extent to which Computer Systems researchers share their code and data. Starting with 601 papers from ACM conferences and journals, we examine the papers whose results were backed by code to see for what fraction of these we would be able to obtain and build the code. Based on the results of this study, we propose a novel sharing specification scheme that requires researchers to specify the level of sharing that reviewers and readers can assume from a paper.

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