Archive | Tools RSS feed for this section

Hello Muddah, Hello Faddah…

16 Aug

… here I am at, Camp …  well … at Townshend State Park in Townshend, Vermont. Last week’s vacation spot. It was a wonderful week of camping, hiking, reading, drawing, cooking, and more. Just what a summer vacation is supposed to be. The only downside is that it was all of one week. Too short. Ah, well…

I read three good books while camping:

The latter two are books that appeared in my Little Free Library this summer and I decided after reading them last week that I’d add a “review” feature to my library. We’ll see how – or if – it takes off.

Three work-related books that were recommended and/or loaned to me lately include:

Not quite the page-turners as my vacation books, but worthwhile reading all the same. The first two give very practical advice, examples, and exercises to help one hone his/her data science and math skills, and Few’s book is like all of his others, i.e. chocked full of information and advice for effective data visualization.

And finally, a few interesting websites to peruse and enjoy:

A Snapshot of a 21st-Century Librarian (Adrienne Green, The Atlantic) is a terrific profile piece on Theresa Quill, a research librarian at the Herman B. Wells Library at Indiana University, Bloomington. If you, like me, struggle to explain your not-so-stereotypical librarian job to friends and family, point them to this article as a good example of how we’re pushing the boundaries and redefining our role(s).

Sawbones: A Marital Tour of Misguided Medicine is a hilarious – and informative – podcast that I recently stumbled upon. Dr. Sydnee McElroy provides the medical expertise and her husband, Justin, the banter. Actually, they both banter quite a bit, making it an enjoyable program. I see that last week’s topic was cupping. If you noticed those round bruises on Michael Phelps body during the Olympics, you might want to listen to learn about how they got there (and if the science behind the practice is real).

Speaking of the Olympics, Dynamic Dialects is just a downright awesome site to explore how people around the world pronounce the same set of words. It’s great fun!

If you bookmark sites for free-to-use images, you’ll want to add the USDA’s Pomological Watercolor Collection to your list. One “Fast Fact” from the site – it contains 7, 584 watercolor paintings, lithographs, and line drawings of fruits and nuts, and almost 4,000 of those are apples. Imagine! It’s a beautiful resource.

The Open Notebook gives visitors a wealth of insight and knowledge about science writing, and also provides tools to help one become a better science writer. Interviews, Elements of the Craft, Profiles, and Science Blogging are some of its features. 

 Finally, someone once asked how I discover all of these sharable finds. Better put, I think she asked, “How do you find the time to discover them?” The answer is that I read a lot (stories from Twitter; magazines like The Atlantic, The Economist, and The New Yorker; a number of interesting blogs), I listen to the news via public radio and podcasts of interest, and I subscribe to several email newsletters including The Scout Report from Internet Scout at the University of Wisconsin-Madison, Austin Kleon’s weekly post, Banana Data News, and Wait But Why. I like that with the exception of the last one (which arrives maybe once a month), these appear in my email on Friday mornings. They’re not overwhelming in length and never cease to offer up something that I find interesting and useful – kind of like how I hope you find my blog. 

Summer Sightseeing

20 Jul

I subscribe to #dataviz guru, Stephanie Evergreen’s blog and found this morning’s post about timelines really great.  I love timelines, both aesthetically and functionally. I particularly liked Stephanie’s idea to use a visual timeline to outline a day’s agenda:


The next time I put together a presentation and am tempted to do that requisite “Here’s What We’re Going to Cover in this Talk” slide, I’m going to use this technique rather than some boring list of bullet points. For sure.

My friend and authorstrator, Suzy Becker, shared a wonderful article with me from the latest issue of Smithsonian magazine. The Surprising History of the Infographic will be required reading for the data visualization course that I’m putting together for next spring. And as I told Suzy, I’m changing my job title to “polymath.” I love it.

If you’re interested in joining me in this new old vocation, writer Nir Eyal’s post, Three Steps to Get Up to Speed on Any Subject Quickly may be of help. “Google once, take notes, then stop Googling and start sketching” was perhaps my favorite bit of advice.

And a few other good things I’ve come across and/or have been shared with me over the last couple of weeks:

15 Data Visualization Tools to Help You Present Ideas Effectively has a few listed that I’ve yet to try. I’m always up for trying new tools.

The Analog is a brilliant site for reviews of all things analog – you know, pens, paper, pencils and such. If you’re like me and read James Ward’s, The Perfection of the Paper Clip: Curious Tales of Invention, Accidental Genius, and Stationery Obsession in one sitting, you’ll love this blog.

Design Observer is also a beautiful and enlightening blog that I came across through a tweet to its posts, 50 Books and 50 Covers. Books can be art, in more ways than one.

Finally, July is always a month of celebrations and anniversaries. This very day marks the 47th anniversary of Apollo 11’s landing on the moon (Do you remember where you were?) and July 5th was the 20th birthday of perhaps the most famous sheep since Lamb Chop, Dolly. Yes, Dolly, “the first mammal cloned from an adult cell, was born July 5, 1996.” Scientific American’s story behind the story of Dolly is a fascinating summer read. Enjoy! 

‘Til next time…Sheep

How I Spent My Summer Vacation (Pt.1)

12 Jul

Well, truth be told, I’ve not had a summer vacation just yet. Still, things do seem to slow down a little bit at work during the summer months and I’ve taken advantage of the time to learn a few new things that will hopefully make me better in my job. I thought I’d share some of them, along with resources in case you wish to add some arrows to your quiver, too.

One of the biggest challenges that I face as an evaluator is being able to quickly (and often on the fly) answer questions about the different programs and projects of the UMCCTS. I struggle with rarely getting the same question twice – or at least my ability, yet, to hear the same question twice – and too often find myself scrambling to gather data from different sources, analyze it, and present it back to a particular stakeholder “by the end of the day.” Granted, I was certainly used to giving quick answers to questions from patrons when I worked in the library, but I had a couple of advantages there; (1) I’d worked for a number of years as a medical librarian, so I was pretty up to speed on the library’s resources and (2) the library was a nice, neat, set container of resources as opposed to any number of individuals and project leads and program directors and data gatherers spread across the campus. Praise be the library! It’s difficult to overstate the value of organization. But I digress…

My challenge now is to make my own library, to build my own collection of resources, and to keep them current so that those stressful “by the end of the day” requests are less so. Enter spreadsheets, pivot tables, and dashboards. I was hardly a novice Excel user when I started this work, but enough reading in the literature and best practices of evaluation led me to believe that I needed to expand my know-how about Excel in order to make things easier for myself. After my last scramble to fulfill a “just in time” request, I decided to get to it. I read two excellent books on data visualization that base most of their material on examples from Excel; Cole Nussbaumer Knaflic’s, Storytelling with Data, and Stephanie Evergreen’s, Effective Data Visualization. These are both great, hands-on books to get you going. I also came across Excel Campus, with one of the best series of video tutorials I’ve ever viewed. The 3-part series on building pivot tables and dashboards was just what I needed.

With these new skills, I’m able to take lengthy, unwieldy (to me) spreadsheets and turn them into several separate sheets with associated pivot tables for analysis and interactive dashboards that let me quickly see the who, what, when, and where of our different programs. It’s a work in progress, but I can tell already that it will be helpful for me and – hopefully – when I develop more tables based upon the questions of the Center’s staff, it will be helpful for them, too.

Next up, I wanted to learn how to create both an overlapping bar chart and a heat map. I was inspired to learn the former from a blog post that I read, coupled with the task I had of writing a report summarizing the evaluation results of our annual research retreat. You know, when you create a survey to evaluate an event (a class, a retreat, a workshop, etc.), you’re often stuck with a whole bunch of questions producing a whole bunch of bar graphs showing how much people appreciated this, that, or the other thing about the event. My survey for the retreat was no different, but I knew that there had to be a better way to present the findings – “better,” meaning a one-page document. Overlapping bar charts seemed perfect. As you can see, I was able to use this type of chart to combine the results of several questions into one visual, making things a lot easier to read and a lot shorter in format.


Five charts become one with an overlapping/stacked bar chart.

Now the heat map. Why? Oh, I don’t know. It was last Friday and a quiet day. And they’re kind of cool looking, so … back to tackling R for analysis and visualizations. (My goal here is to be able to be comfortable with these tasks in Excel, R, and Tableau, thus I switch off between them, to hone some skills.) I’ve mentioned here before that I find Nathan Yau’s books and website, Flowing Data, to be essential to understanding and doing data visualization. To learn (better said, “follow the instructions”) to make a heat map, I used the example that he offers in his book, Visualize This, but he also makes this particular exercise available in his collection of online tutorials, so you can have at it, too, if you wish. As you can see, I did indeed follow the instructions and made a nice little heat map of NBA players’ stats.

NBA HeatmapI also wanted to try making a heat map in Excel (easier said than done, though you can find resources online). I downloaded the data from my Jawbone fitness band that I’ve been wearing since December and made a nice map of my daily step count. Nothing fancy, but it worked just fine as a learning exercise.

Step Count Heat Map

I still plan to tackle making heat maps in Tableau, as well as other dashboards and charts that will be useful. The tool kit is never full and the summer isn’t even half over yet.


What Happened to May?

31 May

It’s not a good sign for my summer that I lost an entire month of the spring. Ah well… it was a different sort of month, filled with some work events and an unexpected life event that kept me away from my computer for more than a week. But before the entire month passes, let me share some things from my “To Share” folder and keep my streak of active blogging months alive. I’ve been blogging here for going on 4 years and have never had a month without a single post. It’s not happening now!

A couple of interesting projects that I tackled for the month involved (1) creating a social network map using Tableau and (2) designing a lengthy evaluation survey in REDCap. For those interested in details regarding either or both of those tasks, I’ll write up some notes and share them in a future post. For now, let’s empty the folder:


If you work in the biomedical research world – or heck, if you simply follow any news about biomedical research – you’ve surely heard the acronym, CRISPR in the past year or two. The discovery and use of Clustered Regularly Interspaced Short Palindromic Repeats, CRISPR, for editing genes has been an enormous breakthrough in science. It’s also, per this article in Nature, a new and important key for understanding how genomes work. Curious about how it can be applied? Here’s a fun quiz from the folks at Wired magazine, Can You Tell These Real CRISPR Projects from the Fake Ones?

Wonder what it might be like to enjoy the rat race? Researchers do an awful lot of things to our rodent friends for the sake of science, but did you know that they actually enjoy some of them? The rodents, that is, not the scientists. Here’s a fun piece from the blogger, GrrlScientist,  Wild Mice Actually Enjoy Running on Exercise Wheels.

One day, cephalopods will rule the world? Do you doubt me? Here’s proof.

Data and Data Visualization

I may have shared this in a previous post, but even if so, it’s worth sharing again – Flowing Data’s 10 Best Data Visualization Projects of 2015. You can be both wowed and inspired by reviewing them.

It goes without saying that librarians are hardly the only professional group retooling to adapt to a data-driven, data-overflowing world. Journalism has also become a profession that looks very different from what it did just a few short years ago. Journalist Geoff McGhee’s video report, Journalism in the Age of Data, is a great piece that chronicles and explores how news rooms are changing and adapting to be able to effectively use data to tell stories.

Making data available to users in every conceivable (and even inconceivable) means is key, argues Mac Bryla in his piece for Tableau’s blog, Data Diaries: Culture of Innovation Starts with Self-Reliant People. Here’s a snippet:

What True Self-Reliance Looks Like

Self-reliance is built in part on people’s ability to answer their own questions, which is closely related to the concept of self-service analytic, especially in today’s data-driven age.

For many, the idea of self-service business intelligence, where IT opens up a small menu of capabilities for employees, has not yet produced its promised benefits despite having been around for a few years. It is clearly an improvement on the traditional, IT-run report factory, but it is still too limiting to satisfy people’s ever-growing appetite for information.

So far, self-service BI is more like IKEA’s approach to DIY furniture-making. While it allows us to build our own furniture, it’s limited by factory-manufactured building blocks. As a result, we all end up with the same results despite the process being self-service.

This is not enough when it comes to fostering self-reliance, autonomy, and innovation.

An alternative approach is to give curiosity-driven users a new generation of tools, which will enable them to explore their data and answer their own questions on their own schedules.

I loved the Do-It-Yourself IKEA-approach metaphor.

I’ve been reading Cole Nussbaumer Knaflic’s book, Storytelling with Data: A data visualization guide for business professionals. It’s succinct and straightforward style is terrific. It’s also filled with many excellent examples and step-by-step exercises, all using Excel. Her blog of the same name is also worth checking out. You might note that she’s on a bit of a hiatus after welcoming a new baby to her family, but there’s plenty of archived info worth perusing.

Along the same lines, you may also want to read Scott Berinato’s article in the June edition of Harvard Business Review entitled, Visualizations that Really Work.

For a fantastic, easy-reading article that uses a bunch of data to explain really well how and why complex problems like affordable housing are so complex, read Michael Anderson’s, A guy just transcribed 30 years of for-rent ads. Here’s what it taught us about housing prices. It’s well-worth remembering in this time of inflated promises by political campaigns of all stripes. (My biased, editorial comment there.)

Track the pulse of the US presidential race via Twitter. Just for fun.

Good Reads

One of the best articles I read this month was an inaugural essay for the brand new Journal of Design and Science (JoDS) out of MIT. I admit that I had to read it a few times through and consult a few outside resources to fully understand it, but once I got it,  I got it! Age of Entanglement, by Neri Oxman, proposes a very interesting theory to explain how the dissolution of clear boundaries between disciplines and specialties breeds (and thus, needs) new means of understanding how people work, think, and create both individually and together. And the Krebs Cycle of Creativity is brilliant!


Source: Oxman, N. (2016) Krebs Cycle of Creativity (KCC). In: Ito, J. Design and Science.

If you’re ever looking for good, online writing related to science, ScienceBlogs is a nice, one-stop site for finding blogs pertaining to all types of disciplines, including Information Science

A future read will be the Journal of New Librarianship a brand new, open source journal to promote innovative practices in librarianship. They’re seeking submissions, editors, and reviewers. I know I’m planning on contributing in the future. How about you?

Cool Tools

Benchmarking with SciVal in Scholarly Communication and Research Services is a great article by my friend and colleague, Rebecca Reznik-Zellen, Lamar Soutter Library, UMass Medical School. Bibliographic metrics have long been used to measure academic reach and impact, and many tools are coming online to improve and expand this method. SciVal, from Elsevier, is but one of them. Whether you have access to it or not, Rebecca’s piece gives a nice overview of how offering research impact, i.e. the measurement of it, as a scholarly communications and/or research service is right in line with the mission of any academic research library.

Do you wonder how people make those short animated GIFs that appear all over social media today? GifSoup is one way. Here’s a quick tutorial.

Here’s a quick and easy way to clear up some memory in your iPhone, iPod, or iPad. And learn from my mistake – choose a single movie, NOT a bundle. I did the latter and am now stuck with the Lord of the Rings movie trilogy. Ugh! I’ll never watch them.

I missed attending MLA in Toronto this month, but followed along with all of the tweeters using the #mlanet2016 hashtag. Thank you so much to those who kept us stray folk in the know. One of the best sessions I followed was an early morning one devoted to new text mining tools. So far, I’ve had the chance to play with Voyant Tools. It’s simple to use, easy to understand, and is a wonderful addition to the toolkit.

Virtual Knick Knacks

Finally, a few things just for fun:

  • Good Night, Sweet Prince – Another musical and artistic genius left us recently. This isn’t necessarily a “fun” piece, but it’s a beautiful article by Dave Ziren for The Nation. For those of us my age, Prince was our David Bowie. His music lives on, though his fans will miss him forever.
  • Last month, the Smithsonian online magazine published some hidden gems by the reclusive, Harper Lee. Great stuff!
  • Mother Goose Seeks Out Police to Rescue Baby. Who doesn’t love these stories in spring? And do note how it was the female police officer who took direct action. The male officer was too scared. Maternal instincts taking over? I think so.
  • Hilda Bastian is a scientist and editor at the National Center for Biotechnology Information (NCBI) of the National Institutes of Health. She also draws cartoons about science. The National Library of Medicine produced a nice interview with her here.
  • If you happen to be a person who recalls with fondness those Saturday evenings watching slide shows and home movies, you might really enjoy the Home Movie Registry. Yes. It exists. Thank you interwebs.

That’s all for today and, sadly, all I shared for the month of May. I’m sorry I didn’t write more. I’ll try and do better in June.


Alternative Metrics ARE Common Metrics

3 Mar

I few weeks back, I was invited by the good folks at Altmetric to take part in a webinar to discuss my use of alternative metrics in my work as an evaluator for the UMass Center for Clinical & Translational Science. The webinar is available online, but for those who might want to see my slides and read the transcript from my part, here you go:


Slide02I thought that I’d start with an overview of what’s happening regarding evaluation from the National perspective, since NCATS, the National Center for Advancing Translational Sciences, as the overseer of the CTSA program, steers the ship, so to speak. For those unaware, NCATS is the Center within NIH that oversees the 62 CTSA programs across the country.

The Common Metrics Initiative is a fairly new – or I should say re-newed/re-tooled – working group coordinated by some of the Principal Investigators from the CTSA sites. FYI, the proper jargon for a site is now, hub. So when you see the word “hub,” it refers to an individual CTSA site, such as the UMass Center for Clinical & Translational Science, where I work. Consortium refers to all of the sites, as a whole.

The Common Metrics Initiative came about in an effort to better measure, evaluate, and disseminate the impact of translational science and the concepts behind it. If you think about it, the idea of translational science is that by eliminating some of the barriers and obstacles that exist between biomedical research, clinical research, and clinical practice, discoveries that improve health will move from the lab bench to the bedside, i.e. patient care, faster. The questions of how we measure the truth of this idea is what’s behind establishing a set of common metrics – a uniform, standard set of metrics that measure the speed, efficiency, and quality of this large practice called translational science.

With multiple centers, an infinite amount of programs and research projects, countless individuals involved as researchers, clinicians, students, subjects… you can easily imagine how difficult it is to come up with a common set of metrics that everyone will collect and analyze. But it’s certainly an important thing to do, not only so that we can evaluate our respective individual hubs, but also so that we can compare across hubs.

Briefly, there are four key areas that have been identified as targets for the implementation of common metrics – workforce development (this involves training opportunities for individuals to learn, among other things, how to conduct clinical research); resources and services of each CTSA site; the collective impact of all the programs, functions, and such of an individual site; and the larger CTSA consortium as a whole.

Slide03For today’s talk, I’m going to focus on the area where alternative metrics are most useful. NCATS defines the different resources and services each hub offers as the following:

  • Biomedical informatics
  • Biostatistics, Epidemiology, Research Design and Ethics (commonly known as “the BERD”)
  • Pilot project funding
  • Regulatory Knowledge and Support
  • Community Engagement in Research
  • And Navigational Support – how well those administering hubs connect people to the resources and services that they need.

Slide04Further, I want to focus on the first three bits within this area, BMI, the BERD, and Pilot Funding.

Slide05As the evaluator for the UMCCTS, my job is basically all about answering questions. It’s a good thing that I was a librarian already, since answering questions is the librarians forte. I can also say that one of the things that I love most about being a librarian is answering interesting questions, and my role now certainly offers up a few interesting questions like these:

How effective are our resources and services – from bioinformatics to the parts of the BERD – in contributing to translational research?

When we give people money for pilot research, how well does this research then generate funding for further research? And then, what’s the impact of that research? How is it transforming health care practice and, ultimately, health?

And then the big elephant in the room, not mentioned on this slide, how do we go about answering these questions? The idea of identifying and analyzing a core set of common metrics is one attempt, but what should those metrics be?

These are big, difficult, and very interesting questions.

Slide06Of course, we start with the usual suspects. We count things. How many new projects are initiated? How many people are involved? How many trans-disciplinary collaborations are formed? How many students and new investigators are mentored and trained? How many publications result from the research done? How much new grant funding is obtained to further the work? Remember, the pilot funds offered by CTSA hubs are seed funds. They are meant to help get projects started, not fund them forever.

But what else besides these common metrics can we look to to draw a bigger picture of the success of our work? This, you guessed it, is where we look at alternative or altmetrics.

Slide07So let’s take an example. Here’s a paper authored by one of our researchers and funded, in part, through the resources and services of the UMCCTS. When we’re counting publications as a measure of success, it’s one that I can count. The other thing that I can count that’s fairly traditional is the number of citing articles. We know that this is a relatively good marker for impact – someone citing your work means that they used your work, in some way, to further their own. So the original work is having an effect. In this case, I could point out that 141 other publications needed to use this publication somehow. So we’ve got a reach, in the simplest terms, of 141 – 141 people, projects, research studies, something. This we can say from these two metrics: 1 paper, 141 citations.

But as we all know, today’s communication tools allow for much broader – and easier – dissemination of science. One of my goals, in my work, (you could see it as a challenge and/or an opportunity, too), is to help researchers and funders and other stakeholders appreciate the value of these other tools. To help them see how these tools give us a whole set of other metrics that can help us evaluate the impact of the work.

Slide08This particular paper is always a good example because you can clearly see, via the Altmetric tool, how far it’s traveled beyond the strict confines of scholarly, scientific publications. It’s also reached news outlets and social media users. It’s reached a wide cross-section of people – the general public, patients, other health care practitioners, other researchers in different disciplines. These are also important. We can argue over the level of importance, as compared to citations, but it’s difficult to ignore them – to claim that they have nothing to say when it comes to the measurable impact of this one paper.

The other reason that I like to use this particular paper as an example, besides its impressive Altmetric donut, is because the final author listed – one of the co-PIs for this work – also happens to be the PI for our CTSA site. She’s my boss. The big boss. She’s one of the PIs involved in the evaluation initiatives for NCATs. The first time that I demoed the Donut for her, she loved it. How could she not? Apart from the non-biased reaction that it’s good to see one’s work being shared, it’s also a great ego boost. Researchers, in case you don’t know, are a little bit competitive by nature. They like to see a good score, a good result, a big donut… you name it. They like it.

For those of us trying to reach the goal of bringing altmetrics into favorable light within very traditional disciplines, being able to show this type of example to your stakeholder, in this instance, my boss … it works.

Slide09So day to day, I spend a lot of time at my rock pile doing these sorts of things. I establish collections of publications, related to different groups within the UMCCTS. I maintain those collections regularly – using Collections within MyNCBI in Pubmed, or Scopus and SciVal – two tools available to me thanks to the Library of UMass Medical School. I collect data related to the common metrics outlined by NCATS, but I also collect the altmetrics. I track them all. And then I report on them all via progress reports and infographics (my latest love). It’s an ongoing – never ending – project, but it’s certainly interesting to step back from time to time and look at the big picture, the story, that all of these metrics, together, tell us.

I recently finished the final progress report for the first 5-year funding cycle of our CTSA. It really was impressive to see where we are today, in comparison to where we were just 8 or 9 years ago, when the idea of establishing a clinical and translational science center at UMass Med first took hold.

Slide10“Telling the story” is what my PI reminds me is my job. Using common and alternative metrics, I can tell the story of this one clinical research scholar who, over the past several years, has published 18 papers related to work she’s done in this program. These papers have been cited, she’s worked with many colleagues as co-authors, she’s developed a number of effective collaborations, she’s presented her work locally, regionally, and nationally, and she’s received several new grants to help her continue in her area of research. She’s also reached the public, patients, and other health care providers through multiple means.

Based on all of these metrics, I can write a pretty good story of how well this one doctor is utilizing the resources of the UMCCTS to inform practice and improve care. In a nutshell, I can tell a story of the impact of her research. If I repeat the same for each of our clinical scholars, or a group of researchers utilizing one of our research cores, or one or more of our pilot-funded projects … the story, the picture, gets bigger and, hopefully, clearer. Our Center is making a difference. That’s what we want to show. And that’s possible through the use of all of these tools and metrics.

Slide11Finally, I want and need to give a shout-out to my former colleagues and friends over at the Lamar Soutter Library here at UMass Med. I worked in the Library for 10 years before moving to the UMCCTS a little over a year ago now. It’s the work that I did in the library that first enabled me to build a relationship with our Center, and then inspired me to approach them to do the evaluation work that I do for them now. Kudos to the LSL for all of the initiatives carried out related to scholarly communications and research impact. I think together we’re helping change the environment around here and raising the level of awareness and acceptance of altmetrics.Slide12

Alert! Overstuffed Stocking

17 Dec


I have a folder on my favorites bar called, “Weekly Blog Post Items” into which I toss bookmarks for sites that I find interesting, helpful, or just fun – things that I think readers of my blog might enjoy, too. As I tossed yet one more URL in it this morning, I realized that it was overflowing. Ah, but ’tis the season for giving and so I give to you, my readers, the gift of a whole bunch of stuff to peruse. Let’s unpack the stocking, shall we?


 14 Data Visualization Tools to Tell Better Stories with Numbers is a really nice article by marketing executive, Rob Peterson, posted on the website {grow}. Mapping, timelines, infographics and more are covered, along with links to popular tools to create each. One that I particularly liked is Timeline JS3. I’ve played with it a little bit and it’s pretty cool.

I may have mentioned Print Friendly before, but I love it so much, it’s certainly worth shouting out again. You can either use the website or download the browser button to quickly and easily print only what you want from a website. Don’t want to waste space and ink on that picture? ZAP! It’s gone. Tired of obnoxious ads on your printouts? POW! They’re gone. It’s awesome!

Narrative Visualization: Telling Stories with Data is a very informative and interesting journal article by Edward Segel and Jeffrey Heer of Stanford. It gives insight into balancing visualizations within and/or alongside the narrative.

Every now and then, I go on a hunt to find a presentation platform other than PowerPoint. I admit that while I’ve tried others, I ultimately return to the ruler of the class, but it doesn’t keep me from looking. Beyond PowerPoint: 11 Other Presentation Tools for Small Businesses is a nice collection. Some are likely very familiar to you (Prezi, Haiku Deck, Keynote), but I didn’t know about Projeqt, VideoSlide, or Zentation before I came across this article.

Have you heard of the Relative Citation Ratio (RCR) yet? I hadn’t before reading this article from the American Society of Cell Biology. Those who work in scholarly communications and/or in areas involving tracking and measuring research impact will find it particularly interesting.

LifeCharge describes itself as a “simple elegant journal of your ups and downs.” It’s an app to help you track the things that make you happy, as well as those that bring you down, the goal being that as you look back on the data and the patterns shown, you can make positive changes in your life that might lead you to a happier place. It’s on my “give it a try” list.

Another app on that same list is The Brainstormer. A pocket spinning wheel of nouns, adjectives, and adverbs, that, once the spinning stops, line up to reveal a creative prompt. Here’s one I got… Pursuit > Disco > File Room. Now who couldn’t make a great story, poem, song, drawing, or the like out of that? Ready, Set, GO!

STAT is a new news site, focused on stories at the intersection of science, health, medicine, politics, and money. It’s got big backers from all of these fields behind it, so it may make it in the crowded world of competitors. So far, I’ve found it a very good place to find in-depth reporting on timely, relevant subjects.

This is what the inside of a British cat pub looks like. From Mashable. Need I say anything else?

Back in November, there was a FANTASTIC Google Doodle for Hedy Lamarr. What an amazing woman. Yes, she was a Hollywood star, but did you also know that she’s been inducted into the Inventor’s Hall of Fame? As I said… amazing. Here’s a story about her from the Washington Post.

As it’s that time of year, Slate Magazine published a good list of Best Movies of 2015; Paste Magazine’s 50 Best Songs and 50 Best Albums of the year have a number of nice picks; and you can find a list of all of Mark Zuckerberg’s “Year of Books” choices here. I hope to compile a few of my own “Best Of” lists in the next week or two. When done, I’ll of course share them here.

I discovered ZeeMaps thanks to a tweet by Melissa Rethlefsen. After I posted my “See the World as a Medical Librarian” map a few weeks back, she made her own map using this tool. I immediately bookmarked it.

Less for content than for the step-by-step guide to using Facebook’s Audience Insight tool for seeing trends, themes, etc. among Facebook users, I enjoyed Rob Leathern’s post on Medium entitled, Who is the Average Donald Trump Supporter?

And finally, because celebrating Christmas means, to me, repeating a number of time-worn rituals (I still get up at 5 AM on Christmas morning and run to the tree to see what Santa brought), I share Amy Dickinson’s story of Peanut Jesus, as she titles it, “My modern nativity story: Making Peanut Jesus.” I read it every holiday season. It’s hilarious and touching. I just love it.

P.S. I also read the chapter about the Christmas Pageant from John Irving’s, “A Prayer for Owen Meany.” Owen as Baby Jesus rising up out of that crib in the manger… I laugh until I cry.

Happy Holidays to you all! Thank you for following along with me another year.

The Art of Collaboration

12 Nov

[The following is my monthly column for the November issue of the UMCCTS newsletter.]

One of the goals of the UMCCTS is to promote and facilitate collaboration across departments and disciplines, thus effectively reducing barriers between the basic and clinical sciences, and ultimately speeding the pathway between the discovery and implementation of new treatments, therapies, and the like that improve health. One means of demonstrating collaboration is through co-authorship. The networks that develop between authors of publications give us a picture of how individuals are connected and where collaborations exist.

Social network analysis is the process of investigating social structures through the use of network and graph theories. It characterizes networked structures in terms of nodes (individual actors, people, or things within the network) and the ties or edges (relationships or interactions) that connect them. (Wikipedia, Social Network Analysis

For this month’s column, let’s look at an example of a social network analysis that shows the co-authorship relationships between members of the Division of Health Informatics and Implementation Science in the Department of Quantitative Health Sciences (QHS). QHS is one of the newest departments at UMMS, with several of the senior faculty arriving on campus only about 6 years ago. The research that the Department does in developing innovative methodologies, epidemiological research, outcomes measurement science, and biostatics is integral to the nature of clinical translational research. By examining the co-authorship relationships of members of the Health Informatics group, we get a snapshot of how well these faculty members are connecting with other departments, other disciplines, and even other institutions. In short, we see how and where collaborations have developed and thus how well the UMCCTS goal of building them is being met.

To do this analysis, we first need to identify all of the publications authored by at least one of the Division’s faculty members for the period of time that s/he has been part of the Division, as well as all of the unique co-authors associated with these papers. In doing this, I found 221 publications authored by 716 different individuals. Using Sci2, a toolset developed at Indiana University, I was able to analyze the patterns and create a visualization showing the connections between the co-authors.

Informatics Division CoAuthor Network

One thing that we clearly see is that several faculty members are prominent hubs in the network, meaning they co-author many papers with many people. Drs. Houston and Allison are the most obvious examples here. We can also see that a number of branches grow from the periphery. At the base of each of these is a faculty member from the Division (counterclockwise from upper right, Drs. Cutrona, Hogan, Shimada, Mattocks, and Yu). Finally, we note that even hubs that are less connected to the clustered middle, e.g. Drs. Yu and Pelletier, are still linked, representing the reach of the collaborative network that the Division has formed over the past years.

Tools like Sci2, Scopus, SciVal, and ISI Web of Science provide another way, i.e. a visual demonstration, of the success of our programs and the impact of the translational science being done by the members of the UMCCTS.

Sci2 Team. (2009). Science of Science (Sci2) Tool. Indiana University and SciTech Strategies,