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Getting Use Cases is Hard

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France

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I just got back from the most BEAUTIFUL two week vacation in France with my SO, Rémi. Look at all the places we went!!

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#LYD16 Recap

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So. Many. Conferences.

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This past week, February 8-12th, was Love Your Data Week!! Is there a more perfect holiday for data librarians, especially right before Valentine's Day??

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My first two weeks of May have been just explicitly devoted to conferences. Planning, executing, attending, surveying -- you name it, I've been doing it in relation to some event or another. It's actually been great, but so exhausting. I am definitely giving a lot of props to event planners for doing this as their day-to-day.

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  1. NYU Reproducibility Symposium
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  3. RDAP Summit
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  5. DASPOS Workshop on Containerizing Science
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#LYD16 was a social media event coordinated officially by 27 academic and research institutions, of which both NYU Data Services and NYU Health Sciences Library were a part. The idea behind this social media blitz was to raise awareness of research data management and the support/resources for RDM at each individual institution.

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Goals for 2016 & How I'll Make Them Happen

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FORCE2016

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If you’ve been following this blog for a while, or even took a quick look on my resume page, you’ll see I haven’t been at my position at NYU for very long. January 3rd marks the fifth month (to the day!) that I’ve been NYU’s official “Research Data Management and Reproducibility Librarian.” There was a bit of an adjustment period where I just spent the majority of my time introducing myself to my colleagues, getting to know what my daily workflow would look like, and brainstorm with Nick about what our services will look like, some good groups for targeted outreach, and what classes we are going to teach as a part of Data Services typical course offerings.

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W.O.W.

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This was all well and good, but since I started in August I missed the goal-setting timeline that is typical for my colleagues. As such, I wanted to make some, and my supervisor in the library thought it would be a good way to measure growth besides. Plus, since I’m pretty early career, setting goals for a measurable outcome was kind of new for something not project based. This was just trying to assess my own growth, not necessarily the growth of a project I’m working on.

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So, I kind of am in love with the FORCE conference I just went to. FORCE2016 is the annual conference from an organization called FORCE11 (ha, the year they started the org.). This year, 500 people came from around the world: researchers, librarians, software developers, large scale repositories, open science advocates, and everyone in between. It was not only a very diverse conference in terms of home country and job, but also in the way the conference and program was run.

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First, one of the coolest things I have ever seen: in addition to the MULTITUDE of tweets around the event (seriously everyone was so active, it was amazing), they hired a company to take visual notes!! While eveverything was going on!! Everyone, the gist of their talks, panels, lightning talks, EVERYTHING! Such a great idea and it produced a great visual overview of the con!

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Presenting at CNI

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This month was excellent as it marked my first ever professional presentation as a NYU Librarian :)

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Last year during NDSR, it seemed like I was giving a presentation at a conference, professional organization meeting, webinar, etc. every other week. It’s been exceptionally restful (well, sort of...) to spend these past 5 months getting to know NYU, my colleagues, the scope of my work, and really just getting a feel for my day-to-day.

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One of the most exciting outputs from my first semester here at NYU has surrounded my work on the Moore-Sloan Data Science Environment (msdse.org). Back in October (link to Oct 2015 post), I wrote about the MSDSE Summit that was held at Suncadia Resort in Washington state. God it was so incredibly beautiful there and I got to do some really cool stuff, but the best thing that happened was definitely meeting Jenny Muilenburg and Erik Mitchell.

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Getting Use Cases is Hard

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One of my big tasks since coming into NYU last August was to work on the ReproZip project. My role is largely outreach and education: I was tasked with teaching ReproZip and general reproducibility principles, gathering use cases in a wider variety of disciplines (when I arrived, the use cases were largely in computer science), and supporting users in general.

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ReproZip kind of blew my mind when I arrived; it's an open source software tool that simplifies the process of creating reproducible experiments. Basically it tracks operating system calls and creates a package that contains all the binaries, files, and dependencies required to reproduce the experiment. A reviewer can then extract the experiment on their own machine using ANY operating system (even if it's different from the original one!!) to reproduce the results. As a librarian, I was like "OH MY GOD. THE DIGITAL PRESERVATION GAME JUST GOT UPPED." Anyway, here's basically how ReproZip works -- in 2 steps:

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My First LITA

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#LYD16 Recap

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A few weeks ago, I attend the Library Information Technology Association’s Forum. Over the 13-15th, I attended several sessions, explored Minneapolis for the first time, and met some really awesome people. I was, as always, a bit nervous attending a new conference but the organizers had some really great 101-type sessions, and even set up a Slack channel which I found to be immensely helpful throughout the day. People organized dinners, discussed sessions in real-time, posed questions, and uploaded some hysterical gifs.

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This past week, February 8-12th, was Love Your Data Week!! Is there a more perfect holiday for data librarians, especially right before Valentine's Day??

+ +

#LYD16 was a social media event coordinated officially by 27 academic and research institutions, of which both NYU Data Services and NYU Health Sciences Library were a part. The idea behind this social media blitz was to raise awareness of research data management and the support/resources for RDM at each individual institution.

- Read More → + Read More →
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Moore-Sloan Data Science Environment Summit: A Recap

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Goals for 2016 & How I'll Make Them Happen

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This year's Moore/Sloan Data Science Environment was in the beautiful Cascade Mountains at the Suncadia Resort in Cle Elum, Washington.

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Look how beautiful that is. Wow.

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If you’ve been following this blog for a while, or even took a quick look on my resume page, you’ll see I haven’t been at my position at NYU for very long. January 3rd marks the fifth month (to the day!) that I’ve been NYU’s official “Research Data Management and Reproducibility Librarian.” There was a bit of an adjustment period where I just spent the majority of my time introducing myself to my colleagues, getting to know what my daily workflow would look like, and brainstorm with Nick about what our services will look like, some good groups for targeted outreach, and what classes we are going to teach as a part of Data Services typical course offerings.

+ +

This was all well and good, but since I started in August I missed the goal-setting timeline that is typical for my colleagues. As such, I wanted to make some, and my supervisor in the library thought it would be a good way to measure growth besides. Plus, since I’m pretty early career, setting goals for a measurable outcome was kind of new for something not project based. This was just trying to assess my own growth, not necessarily the growth of a project I’m working on.

- Read More → + Read More →
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Debrief: My First Two Months at NYU

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Presenting at CNI

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So, for those who don’t follow me on Twitter (go ahead though, ), I recently accepted a position at New York University, Division of Libraries, as the Librarian for Research Data Management and Reproducibility. I started August 3rd of this year, which turned out to be great because there were no students around. This may sound bad, but the prep time was invaluable. My partner-in-crime Nick Wolf came two weeks later, and together we really amped up the existing data management LibGuide.

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When September rolled around, I was hit with a visual on just how gigantic a school NYU really is. Seeing all the students streaming into the library, I was hit with the scope of my work here. Nick and I were supposed to build up services around research data management/data management planning for literally everyone on campus, from staff to students to faculty. Of course to start we will focus on a few core user communities and build our way out, but just wow--even starting on building services for grad students, for example, is an awesome task.

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This month was excellent as it marked my first ever professional presentation as a NYU Librarian :)

- Read More → +

Last year during NDSR, it seemed like I was giving a presentation at a conference, professional organization meeting, webinar, etc. every other week. It’s been exceptionally restful (well, sort of...) to spend these past 5 months getting to know NYU, my colleagues, the scope of my work, and really just getting a feel for my day-to-day.

+ +

One of the most exciting outputs from my first semester here at NYU has surrounded my work on the Moore-Sloan Data Science Environment (msdse.org). Back in October (link to Oct 2015 post), I wrote about the MSDSE Summit that was held at Suncadia Resort in Washington state. God it was so incredibly beautiful there and I got to do some really cool stuff, but the best thing that happened was definitely meeting Jenny Muilenburg and Erik Mitchell.

+ + Read More →
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Preserving Scientific Research Data at the American Museum of Natural History

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My First LITA

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As the National Digital Stewardship Resident at the American Museum of Natural History, I was introduced to the very specific problems facing museum librarians and archivists not only through observing the Research Library, but by speaking individually with some of the most intensive data creators at the Museum. As a part of my larger needs assessment project at the Museum, I created a semi-structured interview guide that I used to enter into a targeted dialogue with scientific staff members, covering all aspects of their digital research and collections data. Topics included the volume of their data, its rate of growth, format types, necessary software and hardware support, management practices, and opinions on preservation of their data (i.e. what data they believe is important in the long-term). I interviewed close to 60 staff members in total, including all the curators in the five Science divisions at the Museum: Anthropology, Invertebrate Zoology, Paleontology, Physical Sciences, and Vertebrate Zoology.

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A few weeks ago, I attend the Library Information Technology Association’s Forum. Over the 13-15th, I attended several sessions, explored Minneapolis for the first time, and met some really awesome people. I was, as always, a bit nervous attending a new conference but the organizers had some really great 101-type sessions, and even set up a Slack channel which I found to be immensely helpful throughout the day. People organized dinners, discussed sessions in real-time, posed questions, and uploaded some hysterical gifs.

- Read More → + Read More →
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