Week #07 : More Videos in Rough Cut Stage

I am well on my way to completing video #02 & #03.  Both are in rough cut stage and I’m confident with some tweaking will be completed before the end of my term.  Video #02 has to do with tree analysis and Video #03 has to do with a bug Continue reading Week #07 : More Videos in Rough Cut Stage

Moby Music & Scripts: Internship Week #02

Did you know you can use Moby’s music for your no-budget, non-profit type projects?  You can!  Here’s a link:  http://www.mobygratis.com  A track or two might end up in a DataONE video too. On a positive note : it looks like the graphic packages are going to spice up the projects Continue reading Moby Music & Scripts: Internship Week #02

Creative & Common : Blog Week #01

I find that every great story is derived from detailed interviews and research.  I’ve started out my piece of the project with a handful of great stories about DATA collection and a great amount of freedom to research content to support these stories. For those who don’t know, it’s my Continue reading Creative & Common : Blog Week #01

DataONE Community Engagement via Twitter

DataONE has been around since 2010. It’s an NSF project so it’s continually evaluated for performance. One metric could be reach and engagement on social media, as a measure of awareness about DataONE. Since I’ve looked at open science sentiment analysis  before, I volunteered to poke around a bit on Continue reading DataONE Community Engagement via Twitter

Designing a Systematic Review Assessing Prevalence of Open Science Data Sharing

In a previous post I realized the need to do a systematic review of literature to determine prevalence of the use of figshare, both in terms of citation and in terms of actual studies of an open science platform such as figshare. To start with, I need to determine what Continue reading Designing a Systematic Review Assessing Prevalence of Open Science Data Sharing

Designing a Meta-Analysis for Data Sharing via Open Science Networks

I’m behind in consulting the literature for references to figshare. From participating in the 2013 Walter E. Dean Environmental Information Management Institute, I am aware of a trend in research for using scholarly databases to conduct a “meta analysis.” The book about meta analysis we referenced for the course in Continue reading Designing a Meta-Analysis for Data Sharing via Open Science Networks

Discipline Classification Survey Instrument & Informed Consent Revisions

From my July 22 meeting with Dr. Allard, some revisions to the survey instrument are warranted. The relevant files I am working with are these: DataONE_Discipline_Survey-Informed-Consent.docx DataONE_Discipline_Survey-Instrument.docx The previous notebook entry referencing these materials is online: https://notebooks.dataone.org/data-science/discipline-classification-survey-instrument-informed-consent/ As these are works in progress, the documents are archived online on the Continue reading Discipline Classification Survey Instrument & Informed Consent Revisions

Open Notebook Science – is it a blog or not?

Yesterday evening I received correspondence from Dr. Amber Budden, Director for Community Engagement and Outreach. She inquired if I had accidentally posted my most recent open notebook log entitled “DataONE Sharepoint – E-Mailing Attachments to Sharepoint.” I see this as an understandable inquiry because this entry was “Pressed” from my Continue reading Open Notebook Science – is it a blog or not?

DataONE Sharepoint – E-Mailing Attachments to Sharepoint

From: Jessel, Tanner Monroe Sent: Thursday, July 25, 2013 4:26 PM To: Davis, Miriam Subject: DataONE Sharepoint – E-Mailing Attachments to Sharepoint Hi Dr. Davis, I am interested in archiving attachments sent to me via e-mail into the DataONE SharePoint site. I did some research and was able to enable Continue reading DataONE Sharepoint – E-Mailing Attachments to Sharepoint

Gathering dataset

This week my focus was on meeting with my mentors, understanding my specific project requirements and gathering my datasets.  My initial work was about creating a week-by-week plan to create a meaningful, generalizable ontology coverage tool for OWL ontologies. I spent some time looking over existing scripts and testing them Continue reading Gathering dataset