How to Make Your Research Transparent and Reproducible

Registration Link
https://cornell.sabacloud.com/Saba/Web_spf/NA1PRD0089/app/me/learningeventdetail/cours000000000009100?returnurl=common%2Fsearchresults%2Fciser%2FLEARNINGEVENT,OFFERINGTEMPLATE,CERTIFICATION,CURRICULUM,OFFERING,PACKAGE,LXPCONTENT,LEARNINGPATHWAY

Replication of results is a core requirement of the scientific method. Satisfying this requirement becomes increasingly complex when data from disparate sources is integrated and reused. While code used for analysis of data must be verified, it is also imperative that code and processes used to clean, integrate and harmonize data be documented and verified. This can be time-intensive and intimidating, especially for individual researchers seeking to openly share their work. Workshop participants will be introduced to CISER’s Reproduction of Results Service workflow which incorporates the Teaching Integrity in Empirical Research (TIER) Protocol.
Prerequisites: None, but familiarity with Windows helpful.

Registration Link again:
https://cornell.sabacloud.com/Saba/Web_spf/NA1PRD0089/app/me/learningeventdetail/cours000000000009100?returnurl=common%2Fsearchresults%2Fciser%2FLEARNINGEVENT,OFFERINGTEMPLATE,CERTIFICATION,CURRICULUM,OFFERING,PACKAGE,LXPCONTENT,LEARNINGPATHWAY

View other workshops CISER is offering for the Spring 2021 semester.

https://ciser.cornell.edu/workshops-in-spring-2021/
If you can not attend the workshop; CISER can provide you with a similar personal consultation. Ranging from introductory content to more advanced programming topics may be discussed during an appointment. 

Email ciser@cornell.edu with general questions or to setup a personal appointment