Healthy Communities Data Summit

The Healthy Communities Data Summit held at UC San Francisco’s Mission Bay campus, organized by Health 2.0, the Foundation for Healthcare Innovation and sponsored by the California HealthCare Foundation, attracted a mix of civic leaders, medical/health professionals, academics, hackers and communicators – all eager to gain a better understanding and share the innovative uses of open health data.

Key topics from the event included cooperation and trust building between government, community and enterprise players, along with high impact applications by making health data accessible to the public (See tweets below).

As a communicator, I took a particular interest in the “A Better Pie Chart & Beyond: The Evolution of Visualization & Analysis” panel. Wess Grubbs, founder of Pitch Interactive, emphasized the human element behind all this data, and reminded users to prioritize the narrative when communicating health data. Although data is lifted from its silos and becomes easily accessible through visualizations, it should tell a complete story – not just grab for views, or “instant gratification.”

Here’s an event summary from the California HealthCare Foundation’s California Healthline.

Measuring total scholarly impact, beyond the cite

The new Total-Impact tool takes a series of references to someone’s work (e.g. publications, Slideshare slides, URLs, Github or Mendeley accounts) and generates reports based on a wide variety of impact metrics. It starts with traditional citations, but adds in bookmarks (from Mendeley, Delicious, etc.), mentions (on Twitter, Facebook), downloads (from publishers’ websites).

Check out some examples:

It’s fun seeing the various metrics. Chad, for example, has work cited on Wikipedia, and read on Mendeley:

This 2011 entry from Clay’s report doesn’t appear to have any cites from PubMed, but shows interest and activity from a variety of sources, including the PLoS website, CrossRef, CiteYouLike, and Mendeley. Some of his papers have even been discussed on Facebook!

Read more:

Keys to a Successful Data Repository

Recently, Cameron Neylon posted an interesting article on his blog, reflecting on some of the challenges in building a data repository:

One of the problems with many efforts in this space is how they are conceived and sold as the user. “Making it easy to put your data on the web” and “helping others to find your data” solve problems that most researchers don’t think they have. Most researchers don’t want to share at all, preferring to retain as much of an advantage through secrecy as possible. Those who do see a value in sharing are for the most part highly skeptical that the vast majority of research data can be used outside the lab in which it was generated. The small remainder who see a value in wider research data sharing are painfully aware of how much work it is to make that data useful.

A successful data repository system will start by solving a different problem, a problem that all researchers recognize they have, and will then nudge the users into doing the additional work of recording or allowing the capture of the metadata that could make that data useful to other researchers. Finally it will quietly encourage them to make the data accessible to other researchers. Both the nudge and the encouragement will arise by offering back to the user immediate benefits in the form of automated processing, derived data products, or other more incentives.

He goes on to discuss how the system needs to be as simple as possible, and as automated as can be.  He also mentions a few tools that could help in this process.  All in all, required reading for those of us interested in this domain space.

New Online Lab Network at UCSF

This morning UCSF’s McCormick lab announced the launch of LabCollaborate, a new website with the goal to “provide a way to easily share data, ideas and generally foster communication between labs as well as provide some useful tools for running the lab.”

I signed up to learn more about how it works. Here is what I have learned so far:

1. Lab Home Page: This is the page you see when you sign in. All the lab members profiles appear across the top, and you can see individual contact info and research interests (as well as update your own) by clicking on the pictures. As the first person to sign up the lab, you are an “admin”. Admins can add/remove lab members, edit library files and approve/delete friendships with other labs. You can extend these powers to any other user by clicking “Make admin” on their profile. If you want to.

2. Whiteboard: Here you can post comments or questions- they will be seen by your lab as well as your lab friends, but not by labs you are not friends with.

3. Friends: These are labs you want to keep in touch with and share data with. They can see and download all protocols, presentations and papers in your Library (unless marked “visible to my lab only”) as well as write on your whiteboard. A newsfeed to keep updated with what they’re doing is coming soon.

4. Libraries: These are collections of papers, presentations and protocols. Files can be tagged with keywords to organize into projects, ideas, lab members, whatever. And they are searchable! So you can group any number of protocols, literature references and presentations by whatever tag(s) you choose and find them all later with a simple search.

5. Ordering: The ordering system records vendor, quantity, and description as well as providing a direct link to the product page. It is also searchable to easily find past orders. Admins can mark orders as placed and the time of initial reqest and placement is recorded.

6. Find collaborators: The search box at the top of the page searches for words in the research interests of all labs and lab members on the network. So if you want to find other labs interested in “cancer”, just search and connect with new friends.

I am wondering whether – at some point – we can leverage the information LabCollaborate provides to enrich UCSF Profiles, and how on other hand LabCollaborate  can benefit from the UCSF Profiles data (tools).

I guess our tech team is aware of this. Looking forward to getting your thoughts, guys.

Take Advantage of Web-Based Tools to Present Complex Data

Research to Action published a great overview article that highlights an “ever-growing open-data source for development statistics in the fields of economics, healthcare, education, social science, technology,” and more.

Including data and statistics within research findings can enhance their impact, however, large tables or spreadsheets of numbers take time to decipher and sometimes the true meaning behind the data itself can be misinterpreted.

Here are some of the tools that the article points out:

  • StatPlanet: browser-based interactive data visualization and mapping application to create a wide range of visualizations, from simple Flash maps to more advanced infogrpahics.
  • Xtimeline:  to create your own timelines of data.
  • Gap Minderto upload data and create an interactive motion charts and graphs.
  • Creately:  to use Online Diagramming software – purpose built for team collaboration.
  • Google Chart Tools: lets you include constantly changing research data sourced online. Google has also released Fusion Tables where you can share, discuss and track your charts and graphs with specific people online.
  • Tagcrowdto upload texts and highlight the most common concepts. The clouds can be exported as images and inserted in a website or power point presentation.
  • Wordle: similar to tagcloud; lets you create images out of key phrases and words relevant to your research, great for using in PowerPoint presentations.
  • Tableau: a free Windows-only software for creating colourful data visualisations.

View all and read the original article

Is outsourcing experiments “the future of research”?

Palo Alto-based Science Exchange, which bills itself as “an online marketplace for science experiments”, thinks so.

According to their website: “Our goal is to make it easier for researchers to access core resources across institutions. Our first product, ScienceExchange.com brings together research scientists looking to outsource experiments with other scientists at core facilities of major research universities who have the capacity to conduct the experiments. By dealing with all the paying/billing administration, quality assurance and dispute resolution, ScienceExchange.com makes outsourcing experiments easy.”

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