Week 8 โ€“ Stitching two packages using provenance

Hi all, In my week 8, I have focused on: storing additional provenance information that a result in a package is derived from which object in another package (we call it stiching for now), and updating the bundling script introduced last week as well as the test of a tale Continue reading Week 8 โ€“ Stitching two packages using provenanceโ†’

Week 6 โ€“ Improvements of Transparency and Reproducibility

Hi all, In my week 6, I have mainly improved the scripts for the cases I introduced last week. To remind, there are two cases we defined: 1) transparency (understanding of what has happened and validate the information given) and 2) reproducing (intermediate) outputs. For transparency, an improvement done is Continue reading Week 6 โ€“ Improvements of Transparency and Reproducibilityโ†’

Week 5 โ€“ Transparency and Reproducibility

Hi all, This is my week 5. Since I have had an actual scientific use case, I have distinguished and generated two different cases 1) transparency (understanding of what has happened and validate the information given) and 2) reproducing (intermediate) outputs. 1) Transparency This case mainly shows how to capture Continue reading Week 5 โ€“ Transparency and Reproducibilityโ†’

Week 4 โ€“ Use case exploration

Hi all, In the week 4, with an actual scientific dataset, I practice and generate some scripts for completing the whole process, i.e., getting a use case (downloading from DataONE), reproduce and update the objects in it, and publish the updated package to DataONE. The use case is about analysis Continue reading Week 4 โ€“ Use case explorationโ†’

Week2 โ€“ Exploration of DataONE and Whole Tale

Hi all, This is my second week. The goal of this week was to expand the use of the systems for the actual computational study through Artic Data Center (ADC), and focus on the use of provenance for the packages in the study. Bertram(my mentor) and I also had an Continue reading Week2 โ€“ Exploration of DataONE and Whole Taleโ†’

Week1 โ€“ What is DataONE and how provenance is used

Dear all, My name is Seokki Lee and Iโ€™m the intern working on โ€œDataONE Project 1: Sharing reproducible research through DataONE and Whole Taleโ€. The project focuses on using provenance tools and standards from DataONE enabling the result of computational syntheses from empirical science to be stored in a fully Continue reading Week1 โ€“ What is DataONE and how provenance is usedโ†’

Welcome to the 2018 Summer Internship Open Notebooks

We are excited to begin work with our 2018 cohort of summer interns across a range of projects.  Information about the projects can be found on our internship description page. Our interns will start recording their activities, experiences and results in this space beginning May 2018.