The majority of this week’s work was very collaborative, so today’s blog post is also a collaboration. Our main goals for Week #2 of our internship revolved around fine tuning our database for the systematic review. Last week, Rob’s blog post highlighted one way to reduce bias in a systematic Continue reading Week 2 – Revising database, outline methods, begin data extraction
Hi all, In the week 3, the goal was to learn and play more about Whole Tale, and also get used to provenance tools for R scripts (e.g., recordr) and have some use cases to capture provenance over that data packages using those tools. As an extension of the work Continue reading Week 3 – Provenance exploration
Hi All, This is the second week of my internship, and below are the tasks that were completed during this week. Adding the patterns for the rest of the file formats into the dataone magic file. Continuing the work from the last week, we were able to create additional patterns for Continue reading Week 2: Created, tested and Committed magic file with the Libmagic library.
Greetings, my name is Giancarlo Sadoti and I’m working collaboratively with Rob Crystal-Ornelas on Project #2: Supporting Synthesis Science with DataONE. Week 1 was a helpful and illuminating launch into the world of data syntheses literature! While I was familiar with Web of Science (WoS) for systematic searches of the literature, Continue reading Week 1: Search strategies for science syntheses
Hi, my name is Rob Crystal-Ornelas and I’m one of the interns for Project #2: Supporting Synthesis Science with DataONE. I’m looking forward to the experience of working on a systematic review with a team of researchers, including my co-intern this summer, Giancarlo Sadoti. This summer, we’ll be working on Continue reading Week 1 – Search terms, identifying articles and literature review
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 – Exploration of DataONE and Whole Tale
Hi All, My name is Pratik Shrivastava and I’m the intern working on the Project 4: Extending Libmagic for Identification of Science Resources. The goal of this project is to extend the capabilities of the Linux (or equivalents on OS X and Windows) file command to allow automatic identification of Continue reading Week1 – What is file command, libmagic library and how they work.
Dear all, My name is Seokki Lee and I’m the intern working on “DataONE Project 1: Sharing reproducible research through DataONE and Whole Tale”. 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 – What is DataONE and how provenance is used
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.
The last goal of my DataONE summer internship was to try to determine whether or not metadata quality is related to data downloads. In other words, does higher quality metadata increase the likelihood that a dataset will be downloaded? The basic approach to answering the question is to gather two Continue reading Exploration of Search Logs, Metadata Quality and Data Discovery: Week 9