Pinterest Pages for Researchers

The Pinterest logo.

When one thinks of Pinterest, they tend to associate it with work night crock pot recipes and lifehacks that may or may not always work. But Pinterest can also be a great place to store and share links and information relating to your academic discipline that is widely accessible and free. In this post, we’ll look at how threegroups use Pinterest in different ways to help their mission, then go through some pros and cons of using Pinterest for academic endeavors

Examples of Groups Using Pinterest

A Digital Tool Box for Historians

A Digital Tool Box for Historians is exactly what it says on the tin. On the date this post was written, A Digital tool Box for Historians boasts 124 pins, each a link to a digital resource that can help historians. Resources range from free-to-use websites to pay-to-use software and everything in-between. It is an easy to follow board that is made for easy browsing.

Europeana

Europeana is a website dedicated to collecting and sharing cultural artifacts and art from around the world. Their Pinterest page serves as a virtual museum with pins grouped into thematic boards, as if they were galleries. With over a hundred and fifty boards, their subject matter ranges from broad themes (such as their Birds and Symbolism board), artistic medium (such as their Posters board, or specific artistic movements or artists (such as their Henri Verstijnen – Satirical Drawings board). Pinterest users can then subscribe to favorite boards and share pieces that they find moving, thus increasing the dissemination of pieces that could remain static if only kept on the Europeana website.

Love Your Data Week

Sponsored by — you guessed it — Love Your Data Week, the Love Your Data Week Pinterest board serves as a community place to help institutions prepare for Love Your Data Week. Resources shared on the Love Your Data Week board can either be saved to an institution’s own Love Your Data board, or used on their other social media channels to spark discussion.

Pros and Cons of Pinterest

  • Pros
    • Can spread your work to a non-academic audience
    • Free
    • Easily accessible
    • Easy to use
    • Brings content from other platforms you may use together
    • Visually appealing
    • Well-known
  • Cons
    • Poor tagging and search systems
    • Interface can be difficult to use, especially for users with disabilities
    • Content gets “buried” very quickly
    • Poor for long-format content
    • Non-academic reputation

Whether it’s a gallery, tool kit, or resource aggregation, Pinterest shows potential for growth in academic and research circles. Have you used Pinterest for academics before? How’d it go? Any tips you’d like to give? Let us know in the comments!

 

Finding the Right Data at the Scholarly Commons

As you probably know, February 13-17th is Love Your Data Week, an annual event that aims to help researchers take better care of their data. The theme for today — Thursday, February 16th — is finding the right data, a problem that almost all researchers will run into while doing their work at some point or another. And the Scholarly Commons is here to help you out! Here are a few ways that you can “find the right data” through the services we provide here at the Scholarly Commons.

Online resources

The University of Illinois subscribes to an almost countless number of online resources that you can find datasets and data files on. While it can be hard to figure out where to start, oftentimes, there will be a LibGuide that can help point you towards a few sources that you will find helpful. The Finding Numeric Data LibGuide specializes in data for the world, United States, and Illinois, and can generally be used for projects in the social sciences. If you’re looking for GIS data, you can head to the Geographic Information Systems (GIS) LibGuide. We even have an area where you can browse all of the Library’s LibGuides and see which guide will be of the most use to you.

Purchasing data

If you’ve found a dataset that you truly need, but cannot get it through one of the services UIUC subscribes to, you may be eligible for the 2017 Data Purchase Program. Researchers can submit an application which outlines their data needs, and the University Library may choose to purchase the data, and make it available for general use by the campus community. For more information, see the Data Purchase Program website, linked above.

Attending a Savvy Researcher workshop

Throughout the semester, the Scholarly Commons and other Library departments run Savvy Researcher workshops, which teach attendees various skills that will help them be better researchers. While many deal with finding or organizing data, here is a sampling of a few upcoming workshops that will deal directly with finding data: Finding and Organizing Primary Source Materials in DPLA, Advanced Text Mining Techniques with Python and HathiTrust Data, and GIS for Research II: GIS Research, Data Management, and Visualization. For the full schedule of Savvy Researcher workshops, head to the Savvy Researcher calendar. You can also get an idea of what’s going on with the Savvy Researcher workshops by looking at the #savvyresearcher on Twitter!

Making an appointment with an expert

A central part of the Scholarly Commons’ mission is to connect you to the people you need to get the help you need. If you’re looking for data help, take a gander at our Scholarly Commons Experts page and see if there is someone on staff who can help you find what you need. If you’re still not sure, don’t worry! You can always fill out a consultation request form, or email us, and we’ll help you get in touch with someone who can guide you.

Love and Big Data

Can big data help you find true love?

It’s Love Your Data Week, but did you know people have been using Big Data for to optimize their ability to find their soul mate with the power of data science! Wired Magazine profiled mathematician and data scientist Chris McKinlay in “How to Hack OkCupid“.There’s even a book spin-off from this! “Optimal Cupid”, which unfortunately is not at any nearby libraries.

But really, we know you’re all wondering, where can I learn the data science techniques needed to find “The One”, especially if I’m not a math genius?

ETHICS NOTE: WE DO NOT ENDORSE OR RECOMMEND TRYING TO CREATE SPYWARE, ESPECIALLY NOT ON COMPUTERS IN THE SPACE. WE ALSO DON’T GUARANTEE USING BIG DATA WILL HELP YOU FIND LOVE.

What did Chris McKinlay do?

Methods used:

  • Automating tasks, such as writing a python script to answer questions on OKCupid
  • Scraping data from dating websites
  • Surveying
  • Statistical analysis
  • Machine learning to figure out how to rank the importance of answers of questions
  • Bots to visit people’s pages
  • Actually talking to people in the real world!

Things we can help you with at Scholarly Commons:

Selected workshops and resources, come by the space to find more!

Whether you reach out to us by email, phone, or in-person our experts are ready to help with all of your questions and helping you make the most of your data! You might not find “The One” with our software tools, but we can definitely help you have a better relationship with your data!

Love Your Data Week 2017

The Scholarly Commons is excited to announce our participation in Love Your Data Week 2017. Taking place from February 13-17th, Love Your Data is an annual event that aims to “build a community to engage on topics related to research data management, sharing, preservation, reuse, and library-based research data services.” The 2017 theme is data quality.

Love Your Data Week takes place online, and you’ll find us posting content both on this blog (look out for our post on February 16th) and at our Twitter, @ScholCommons. We’ll be posting new content for each day of Love Your Data Week, so stay tuned! You can follow the wider conversation by looking at the hashtags #LYD17 and #loveyourdata on Twitter and elsewhere. You can also check out the University of Illinois Research Data Service’s Twitter @ILresearchdata for their Love Your Data Week content!

Each day of Love Your Data Week has a different theme. This year the themes are as follows:

  • Monday: Defining Data Quality
  • Tuesday: Documenting, Describing, Defining
  • Wednesday: Good Data Examples
  • Thursday: Finding the Right Data
  • Friday: Rescuing Unloved Data

Got something to say about data? Or just want to be a part of the action? Tweet @scholcommons or comment on this article!