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Spellcheck See merge request VickySteeves/personal-website!8
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Vicky Steeves
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<blockquote class="twitter-tweet" data-lang="en"><p lang="en" dir="ltr">Please recommend women leaders in the Open Access/Science area. Too many conferences/boards feel like openness in science is only for men.</p>— Lenny Teytelman (@lteytelman) <a href="https://twitter.com/lteytelman/status/877214120201797632">June 20, 2017</a></blockquote><script async src="//platform.twitter.com/widgets.js" charset="utf-8"></script>
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<p>The thread goes on for ages, until <a href="https://aprilhathcock.wordpress.com/">April Hathcock</a> (Scholarly Communications Librarian, New York University) wrote a <a href="http://intheopen.net/2017/06/women-working-in-the-open/">blog post</a> in which she discusses how lists and visibility are always great, but we need to start putting them into action -- in this case, inviting more women speakers. She also released an accompanying open <a href="https://docs.google.com/document/d/1zkuWXiGKZ_pYtOgwUy0LpyqcuURVxQkwAHtHEXTigdk/edit">google doc</a> which had a list of women who work in the open which anyone can add names to.</p>
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<p>The thread goes on for ages until <a href="https://aprilhathcock.wordpress.com/">April Hathcock</a> (Scholarly Communications Librarian, New York University) wrote a <a href="http://intheopen.net/2017/06/women-working-in-the-open/">blog post</a> in which she discusses how lists and visibility are always great, but we need to start putting them into action -- in this case, inviting more women speakers. She also released an accompanying open <a href="https://docs.google.com/document/d/1zkuWXiGKZ_pYtOgwUy0LpyqcuURVxQkwAHtHEXTigdk/edit">google doc</a> which had a list of women who work in the open which anyone can add names to.</p>
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<blockquote class="twitter-tweet" data-lang="en"><p lang="en" dir="ltr">I went ahead and blogged about this and created an open list. Add names. You're welcome. <a href="https://t.co/qFTngfevlI">https://t.co/qFTngfevlI</a> <a href="https://t.co/h8yxcUFChB">https://t.co/h8yxcUFChB</a></p>— April H. (@AprilHathcock) <a href="https://twitter.com/AprilHathcock/status/877245771216809984">June 20, 2017</a></blockquote><script async src="//platform.twitter.com/widgets.js" charset="utf-8"></script>
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<img src="../../images/fyoaw-map.png" style="margin: 0 auto; display: block;">
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<p class="caption">Image taken from on <a href="https://fyoaw.vickysteeves.com/map.html">fyoaw.vickysteeves.com/map.html</a> on June 14, 2017.</p>
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<p>I built the website based on a lot of free and open source software and code. I built the website using <a href="https://getbootstrap.com">Bootstrap3</a>, the open source toolkit for developing with HTML, CSS, and JS. I modified the <a href="https://bootswatch.com/flatly/">Flatly</a> theme from <a href="https://bootswatch.com/">Bootswatch</a> for the website aesthetics, only changing it to make it purple rather than green (I just like the purple better, ok?). This site would have required SO MUCH MORE coding on my part if it wasn't for the code called 'CSV to HTML table' by Derek Eder, available here: <a href="https://github.com/derekeder/csv-to-html-table">https://github.com/derekeder/csv-to-html-table</a>. This let me easily plug in a csv file to a website and get a nice searchable, sortable list. The <a href="https://fyoaw.vickysteeves.com/map.html">map</a> was built using <a href="http://leafletjs.com/">leaflet</a> open source JavaScript library used to build interactive maps on the web. I cleaned up the data using <a href="http://openrefine.org/">OpenRefine</a> and their excellent <a href="https://github.com/OpenRefine/OpenRefine/wiki/Geocoding">Geocoding wiki</a>.</p>
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<p>I built the website based on a lot of free and open source software and code. I built the website using <a href="https://getbootstrap.com">Bootstrap3</a>, the open source toolkit for developing with HTML, CSS, and JS. I modified the <a href="https://bootswatch.com/flatly/">Flatly</a> theme from <a href="https://bootswatch.com/">Bootswatch</a> for the website aesthetics, only changing it to make it purple rather than green (I just like the purple better, ok?). This site would have required SO MUCH MORE coding on my part if it wasn't for the code called 'CSV to HTML table' by Derek Eder, available here: <a href="https://github.com/derekeder/csv-to-html-table">https://github.com/derekeder/csv-to-html-table</a>. This let me easily plug in a CSV file to a website and get a nice searchable, sortable list. The <a href="https://fyoaw.vickysteeves.com/map.html">map</a> was built using <a href="http://leafletjs.com/">leaflet</a> open source JavaScript library used to build interactive maps on the web. I cleaned up the data using <a href="http://openrefine.org/">OpenRefine</a> and their excellent <a href="https://github.com/OpenRefine/OpenRefine/wiki/Geocoding">Geocoding wiki</a>.</p>
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<p>All this to say -- YES open code, YES open data, and YES to all the wonderful women working towards openness!</p>
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<p><a href="https://data-services.hosting.nyu.edu/five-things-we-learned-at-scipy2017/">See original posting here.</a></p>
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<p>So I'm at<a href="https://scipy2017.scipy.org"> SciPy2017</a> (I had a talk on ReproZip accepted - <a href="https://vickysteeves.gitlab.io/2017-SciPy/#/">slides</a>) and I learned about some amazing open source tools for research! This year, SciPy 2017 was in Austin, Texas from July 10-16, 2017. It was the 16th annual Scientific Computing with Python Conference, and focused on great new tools and methods for research with Python.</p>
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<p>These are my top 5 favourite takeaways from SciPy 2017!</p>
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<p>These are my top 5 favorite takeaways from SciPy 2017!</p>
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<!-- TEASER_END -->
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<ol>
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<li><strong><a href="https://github.com/ScienceStacks/SciSheets">SciSheets</a>:</strong> Anyone who knows me knows that I really can't stand Excel. It encodes your data weirdly, and is such a black box it causes more errors in research than it ever helps analysis. This is why I was pumped to see a session on building a better spreadsheet - one that combines programming with the simplicity of spreadsheets. SciSheets is a web application that allows users to run Python expressions or scripts in a spreadhseet, but also export spreadsheets to a standalone Python program! You can find a demo video <a href="https://www.youtube.com/watch?v=N9QQK5n72ZM">here</a>!</li>
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<li><strong><a href="https://github.com/ScienceStacks/SciSheets">SciSheets</a>:</strong> Anyone who knows me knows that I really can't stand Excel. It encodes your data weirdly and is such a black box it causes more errors in research than it ever helps analysis. This is why I was pumped to see a session on building a better spreadsheet - one that combines programming with the simplicity of spreadsheets. SciSheets is a web application that allows users to run Python expressions or scripts in a spreadsheet, but also export spreadsheets to a standalone Python program! You can find a demo video <a href="https://www.youtube.com/watch?v=N9QQK5n72ZM">here</a>!</li>
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<li><strong><a href="https://github.com/jupyter/nbgrader">nbgrader</a>:</strong> This is a phenomenal application for assignment management and grading in Jupyter notebooks. The nbgrader extension for Jupyter notebooks guides the instructor through assignment and grading tasks using the familiar Jupyter notebook interface. It's made up of a few Jupyter Notebook extensions. The formgrader extension allows instructors to use functionality from nbgrader to generate student versions of assignments (including releasing to students), collecting assignments, and auto and manual grading submissions. Students just work in the notebook and submit! You can read more at the <a href="https://github.com/jupyter/nbgrader">GitHub repo</a>.</li>
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<li><strong><a href="https://github.com/dataflownb/dfkernel">Dataflow</a></strong>: This extension to Jupyter Notebooks answers the question, "how can a notebook be structured so rewriting isn't necessary?" and "how can cells in a notebook be linked more robustly?" Their solution was to make <strong>cell IDs persistent</strong>, similarly to UUIDs<strong>.</strong> This allows users to powerfully reference previous outputs. You see the slides from SciPy <a href="http://www.cis.umassd.edu/~dkoop/presentations/dataflownb-scipy-2017.pdf">here</a>.</li>
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<li><a href="http://joss.theoj.org/"><strong>The Journal of Open Source Software</strong></a>: Ok, I didn't <strong>just</strong> learn about JOSS (I have <a href="http://joss.theoj.org/papers/b578b171263c73f64dfb9d040ca80fe0">a paper</a> there!) but it's still one of my favourite things. It's an open source journal for software. Developers just have to write a short essay (2 paragraph markdown file with some references and an image) and have their code available for review on GitHub. The reviews look at the source code, and test it out before acceptance. From their website: "The Journal of Open Source Software (JOSS) is an academic journal with a formal peer review process that is designed to <em>improve the quality of the software submitted</em>." It's a great way for developers in academia to get their work reviewed, and get credit for their excellent software.</li>
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<li><a href="http://joss.theoj.org/"><strong>The Journal of Open Source Software</strong></a>: Ok, I didn't <strong>just</strong> learn about JOSS (I have <a href="http://joss.theoj.org/papers/b578b171263c73f64dfb9d040ca80fe0">a paper</a> there!) but it's still one of my favorite things. It's an open source journal for software. Developers just have to write a short essay (2 paragraph markdown file with some references and an image) and have their code available for review on GitHub. The reviewers look at the source code and test it out before acceptance. From their website: "The Journal of Open Source Software (JOSS) is an academic journal with a formal peer review process that is designed to <em>improve the quality of the software submitted</em>." It's a great way for developers in academia to get their work reviewed, and get credit for their excellent software.</li>
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<li><strong><a href="https://github.com/elegant-scipy/elegant-scipy">Elegant SciPy</a></strong> book: Written by Juan Nunez-Iglesias (@jni), Harriet Dashnow (@hdashnow), and Stéfan van der Walt (@stefanv), and published by O'Reilly Media, this fully free and open book focuses on the foundations of scientific python. You can download the book from the GitHub repository as Markdown or an executable Jupyter Notebook. Great work done on opening the book in a machine readable and executable format!!</li>
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<p>I am really pleased to finally announce that the LIS Scholarship Archive is officially, 100% launched! LISSA is an open source, open access disciplinary repository for library and information science which I co-founded this year. A really great opportunity for LIS to holitistically publish their work openly!</p>
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<p>I am really pleased to finally announce that the LIS Scholarship Archive is officially, 100% launched! LISSA is an open source, open access disciplinary repository for library and information science which I co-founded this year. A really great opportunity for LIS to holistically publish their work openly!</p>
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<!-- TEASER_END -->
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<p>The LIS Scholarship Archive first opened for sumbmission in August 2017, for a "soft launch" period to see where functionality and usability can be improved for a full-launch. We picked this week in October to coincide with <a href="http://www.openaccessweek.org/">Open Access Week</a>, an international, annual scholarly communication event focusing on open access, sponsered by <a href="https://sparcopen.org/">SPARC</a>. LISSA accepts the full range of content from the library and information science (LIS) community and allied fields, including but not limited to: data, code, oral histories, zines, articles, books/book chapters, and student work. LISSA is governed by a board of LIS professionals from a range of backgrounds, and managed technologically by the <a href="https://cos.io">Center for Open Science</a>.</p>
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<p>The LIS Scholarship Archive first opened for submission in August 2017, for a "soft launch" period to see where functionality and usability can be improved for a full launch. We picked this week in October to coincide with <a href="http://www.openaccessweek.org/">Open Access Week</a>, an international, annual scholarly communication event focusing on open access, sponsored by <a href="https://sparcopen.org/">SPARC</a>. LISSA accepts the full range of content from the library and information science (LIS) community and allied fields, including but not limited to: data, code, oral histories, zines, articles, books/book chapters, and student work. LISSA is governed by a board of LIS professionals from a range of backgrounds and managed technologically by the <a href="https://cos.io">Center for Open Science</a>.</p>
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<p>You can read the full LISSA launch announcement below, also posted on <a href="https://lissarchive.org">lissarchive.org</a> <a href="https://lissarchive.org/updates/launch/">here</a>.</p>
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<img src="../../images/lissa-info.png" alt="LISSA infographic" style="display:block; margin:auto;"><br/>
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<p>The <a href="https://osf.io/preprints/lissa">LIS Scholarship Archive</a> (<a href="https://osf.io/preprints/lissa">osf.io/preprints/lissa</a>) has fully launched and we are ready to help you open your work! The LIS Scholarship Archive, in partnership with the Center for Open Science, is a free, open, and community-led archive for scholarship in library and information science and allied fields.The infrastructure of LISSA is completely open source and all materials and associated metadata on LISSA will be permanently, publicly available.</p>
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<p>The <a href="https://osf.io/preprints/lissa">LIS Scholarship Archive</a> (<a href="https://osf.io/preprints/lissa">osf.io/preprints/lissa</a>) has fully launched and we are ready to help you open your work! The LIS Scholarship Archive, in partnership with the Center for Open Science, is a free, open, and community-led archive for scholarship in library and information science and allied fields. The infrastructure of LISSA is completely open source and all materials and associated metadata on LISSA will be permanently, publicly available.</p>
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<p>On LISSA, LIS workers, students, trainees, and other in the field can make their incredible work open and discoverable, from metadata records to oral histories to manuscripts to data. Currently on LISSA, there are preprints, postprints, grant narratives, posters, book manuscripts, data, and code, in a variety of languages, from a diverse authorship! Let’s keep this going! If you are someone who works in LIS and who supports open scholarship, this is what you can do:</p>
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<p>On LISSA, LIS workers, students, trainees, and others in the field can make their incredible work open and discoverable, from metadata records to oral histories to manuscripts to data. Currently on LISSA, there are preprints, postprints, grant narratives, posters, book manuscripts, data, and code, in a variety of languages, from a diverse authorship! Let’s keep this going! If you are someone who works in LIS and who supports open scholarship, this is what you can do:</p>
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<li><a href="https://osf.io/preprints/lissa/submit">Submit your work</a> in less than 5min. </li>
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<p>Hi! So I am trying my hand at NaNoWriMo again this year! I am officially participating in <a href="http://nanowrimo.org/">NaNoWriMo</a> 2017, or "National Novel Writing Month." This means, by November 30, 2017, I will have written a 50,000 word novel.</p>
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<p>Hi! So I am trying my hand at NaNoWriMo again this year! I am officially participating in <a href="http://nanowrimo.org/">NaNoWriMo</a> 2017, or "National Novel Writing Month." This means, by November 30, 2017, I will have written a 50,000-word novel.</p>
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<img src="../../images/2017nanowrimo.png" alt="NaNoWriMo">
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