Information from DMPTool
Research Data Services is excited to share that DMPTool released version 3 on February 27, 2018! For those unfamiliar with DMPTool – it is a tool that can help you understand the data management plan (DMP) requirements from federal funders, write your own DMP, and share your DMP with others.
DMPTool noted that the new version includes the following updates –
To access DMPTool with your UW-Madison NetID, visit DMPTool and click “Sign In” on the upper-right hand corner of your screen. From the drop down menu that appears, select option 1, “Your Institution”. Type “Wisconsin” into the text box that appears and select “University of Wisconsin-Madison” from the options and select “Go”. From there the NetID process should appear as usual.
RDS team will be updating the DMPTool with more UW-Madison specific help in the future, so be sure to keep an eye on the blog for that announcement! Until then, if you have any questions about DMPTool, feel free to contact us!
The Rebecca J. Holz Series in Research Data Management presents talks on various data-related topics. Each presentation is held in room 126 of Memorial Library from noon to 1:00 PM (bring your lunch!).
March 13 (Tuesday) – Research Data Protection Brown Bag, Bob Turner, Chief Information Security Officer – UW Madison, and Stefan Wahe, Deputy CISO and HIPPA Officer – UW Madison
Many are familiar with the data management requirements and the significant security controls assigned to protect employee and student personal identity and health care information. Whether your research includes this type of data or simply needs added privacy should be understood when creating an information handling environment to conduct your important research. Join the UW-Madison Chief Information Security Officer and the Deputy CISO who also serves as the HIPAA Security Officer as they discuss research data privacy and security.
April 18 – From the ashes: How data corruption revitalized our data project, Kendra Bouda, The Jane Speaks Initiative
Under the worst of circumstances, data corruption may lead to irreparable loss. Though even if a backup is available, such disruption can easily set any project back. Join speaker Kendra Bouda as she recounts her experiences with data corruption and how the misfortune of data loss actually revitalized her project. Kendra will relate how a variety of data-related hurdles shaped her work on the Clery Crime Data Visualization Project, shifted her perspective on access and reproducibility, and, ultimately, how data corruption transformed project goals.
Written by Heather Wacha
Documenting DH is a project from the Digital Humanities Research Network (DHRN). It consists of a series of audio interviews with various humanities scholars and students around the University of Wisconsin-Madison campus. Each interviewee is given a chance to talk about how they view data, work with data, manage data, or teach data to others. Most recently, we interviewed Robin Rider, curator of the University of Wisconsin’s Special Collections, where she specializes in the history of science. She is a senior lecturer in the History Department and she regularly teaches in the iSchool. Her perspective on digital humanites has been shaped by decades of research, scholarship and her unique position as a Special Collections curator.
Written by Laura Schmidt
Documenting DH is a project from the Digital Humanities Research Network (DHRN). It consists of a series of audio interviews with various humanities scholars and students around the University of Wisconsin-Madison campus. Each interviewee is given a chance to talk about how they view data, work with data, manage data, or teach data to others. Most recently, we interviewed Shanan Peters, Jon Husson, and Aimee Glassel of GeoDeepDive, a project that builds a scalable, dependable cyberinfrastructure to facilitate new approaches to the discovery, acquisition, utilization, and citation of data and knowledge in the published literature. Their interview is now accessible on the DHRN website.
To celebrate Love Data Week, Research Data Services, Ebling Library, and Open Meetup are hosting a Data Story Slam! We’re looking for 10-12 storytellers to each tell a five minute data story. This can be free form, a slide presentation, a poem, or anything else. Themes for this year are:
- Stories about data
- Telling stories with data
- Connection conversations (collaborations between departments)
- We are data (the implications of personal data)
If you have a story you’d like to share, you can sign up here. Use the form to sign up until the day of the event (February 15). A signup sheet will be available at the event as well.
We’ll have refreshments, but feel free to bring your own lunch.
When: Thursday, 2/15 noon-1:30pm
Where: Wisconsin Idea Room, Room 159 of the Education Building on Bascom Mall
Questions? Contact us!
Information adapted from the Tabula website.
What is Tabula?
If you’ve ever needed data that only exists in a PDF format, you’ve likely discovered that you can’t easily copy and paste the data, which makes being able to actually use it difficult. Tabula is a free, open-source tool you can use for “liberating data tables locked inside PDF files.”
For an example of Tabula being used to extract data for a visualization project, check out this blog post by the Jane Speaks Initiative. Other examples can also be found on the Tabula website.
What can Tabula help you do?
Tabula runs in your web browser, making it easy to browse to the PDF containing the data you need, select the portion of the PDF containing the data tables, and then easily extract the data from the tables into a CSV file or a Microsoft Excel spreadsheet.
How do you get it?
You can download Tabula for free from its website. It is also available on GitHub.
What else should you know?
Tabula works only with text-based PDFs; the developers note that it will not work with scanned documents. Tabula is available for Windows, Mac OS X, and Linux operating systems.
Written by Chiu-chuang Lu Chou; Information adapted from OpenICPSR
OpenICPSR is a self-serving data repository for researchers who need to deposit their social and behavioral science research data for public access compliance. Researchers can share up to 2 GB data in OpenICPSR for free. Researchers prepare all data and documentation files necessary to allow their data collection be read and interpreted independently. They also prepare metadata to allow their data be searched and discovered in ICPSR catalog and major search engines. A DOI and a data citation will be provided to the depositor after data are published.
Depositors will receive data download reports from OpenICPSR. All OpenICPSR data is governed by the Attribution 4.0 Creative Commons License. Server-side encryption is used to encrypt all files uploaded to OpenICPSR. Data deposited in self-deposit package are distributed and preserved as-is, exactly as they arrive without the standard curation and preservation features available to professional curation package.
OpenICPSR offers Professional Curation Package to researchers, who like to utilize ICPSR’s curation services including full metadata generation and a bibliography search, statistical package conversion, and user support. The cost of professional curation is based on the number of variables and complexity of the data. To learn more about OpenICPSR, please visit their website