UW-Madison Research Data Services http://researchdata.wisc.edu Wed, 15 Oct 2014 17:00:38 +0000 en-US hourly 1 http://wordpress.org/?v=3.9.2 DMPTool unavailable October 18, 10 p.m. – 2 a.m. http://researchdata.wisc.edu/news/dmptool-unavailable-october-18-10-p-m-2-a-m/ http://researchdata.wisc.edu/news/dmptool-unavailable-october-18-10-p-m-2-a-m/#comments Tue, 14 Oct 2014 17:11:21 +0000 http://researchdata.wisc.edu/?p=5086 Due to server maintenance, the DMPTool will be unavailable on Saturday, October 18, from 10:00 p.m. (CST) until 2:00 a.m. (CST), October 19.

DMPTool is an online tool that helps researchers develop data management plans. For more information or to use the tool, see http://researchdata.wisc.edu/make-a-plan/dmptool

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Data Management Resources for Librarians http://researchdata.wisc.edu/news/data-management-resources-for-librarians/ http://researchdata.wisc.edu/news/data-management-resources-for-librarians/#comments Mon, 22 Sep 2014 12:54:20 +0000 http://researchdata.wisc.edu/?p=5059 [...]]]> by Elliott Shuppy

Research data management has quickly grown into a necessity for librarians on the UW-Madison campus. We understand that this topic can be complex and intimidating, so we wanted to provide resources on some of the most important topics that librarians may be curious about. Compiled below are links for liaisons to explore, reference, and further equip themselves for reference inquiries and conversations around data.

What is data?

This might be a scary question to some, but one with very important implications. See how Minnesota and Oregon have responded.

Why manage data?

MIT and Minnesota lay out plainly the benefits of data management for researchers.

What is a data management plan?

These links provide fairly comprehensive lists of required components and descriptions of data management plans.

Questions to ask

Helpful sets of questions for librarians to consider when conducting data-related interviews with patrons can be found in the below links.

Terms & definitions

Both Minnesota and Data One offer extensive glossaries of useful terminology for anyone dealing with data matters.

Federal requirements for data

In early 2013, the White House Office of Science and Technology Policy (OSTP) released a mandate requiring public access for federally funded research data. The Department of Energy was the first of many departments to release its requirements for researchers, which take effect October 1, 2014.

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DOE Public Access Plan: Scientific Publications & Data Management Plan http://researchdata.wisc.edu/news/doe-public-access-plan-scientific-publications-data-management-plan/ http://researchdata.wisc.edu/news/doe-public-access-plan-scientific-publications-data-management-plan/#comments Wed, 03 Sep 2014 14:26:36 +0000 http://researchdata.wisc.edu/?p=5039 [...]]]> DOE Public Access Plan:  Scientific Publications & Data Management Plan
September 11, 2014  from 11:00-12:15pm
Engineering Hall, Room 3609

L&S Pre-Award Services, together with CALS, Engineering and RSP, is hosting an informational presentation on this new DOE requirement.  Presenters include Julie Schneider from the Ebling Library, and Ryan Schryer and Brianna Marshall from UW Research Data Services.  Those who submit proposals to and have award funding from the DOE should attend.

Please register at the OHRD link

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September 25 Webinar on ORCID Adoption by Funders http://researchdata.wisc.edu/news/september-25-webinar-on-orcid-adoption-by-funders/ http://researchdata.wisc.edu/news/september-25-webinar-on-orcid-adoption-by-funders/#comments Tue, 02 Sep 2014 17:37:37 +0000 http://researchdata.wisc.edu/?p=5036 [...]]]> 25 September 2014, 10 am EDT (UTC-4)

Please register in advance for this free webinar.

ORCID is partnering with the Health Research Alliance, a consortium of biomedical research foundations, to host a free webinar on how funders are using ORCID identifiers in their workflows and systems.  The webinar will feature presentations by leaders at private and public funding organizations in the U.S. and Europe.  Join us to learn why funders are integrating ORCID identifiers into common CV platforms, mandating use during grant submission, and leveraging identifiers to improve tracking and evaluation.

Learn more.

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UW-Madison Chosen for Federally-funded Cloud Computing Research http://researchdata.wisc.edu/news/uw-madison-chosen-for-federally-funded-cloud-computing-research/ http://researchdata.wisc.edu/news/uw-madison-chosen-for-federally-funded-cloud-computing-research/#comments Mon, 25 Aug 2014 13:33:18 +0000 http://researchdata.wisc.edu/?p=5033 The UW-Madison is receiving a grant to create an environment to develop new cloud-based services. See the UW News story about CloudLab for more information about the UW’s role. Complete details are on this National Science Foundation News site.


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DoE Proposes First Plan for Expanded Public Access of Research http://researchdata.wisc.edu/news/doe-proposes-first-plan-for-expanded-public-access-of-research/ http://researchdata.wisc.edu/news/doe-proposes-first-plan-for-expanded-public-access-of-research/#comments Mon, 18 Aug 2014 21:14:35 +0000 http://researchdata.wisc.edu/?p=5026 [...]]]> DOE Seal graphic
For University of Wisconsin researchers who rely on Department of Energy federal grants, the other shoe has dropped. To be precise, the DoE’s “shoe” or plan to increase access to the works and data of its federally-funded investigators is one of approximately thirteen plans many federal agencies will likely be announcing in the next several weeks. In February 2013, the White House Office of Science and Technology Policy issued a memo (known as the OSTP memo) that required all agencies that fund over $100 million in research annually to create a plan to allow greater public access to its’ researchers’ work and data after a 12 month embargo period. The Washington Post’s recent article on the announcement indicates that this particular plan is not without its detractors.

RDS will be covering the release of all OSTP Memo plans as they are announced.

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Registration for Lockdown 2014 is Now Open http://researchdata.wisc.edu/news/registration-for-lockdown-2014-is-now-open/ http://researchdata.wisc.edu/news/registration-for-lockdown-2014-is-now-open/#comments Thu, 29 May 2014 15:05:35 +0000 http://researchdata.wisc.edu/?p=4955 [...]]]> This year’s conference at Health Sciences Learning Center (HSLC) includes a variety of presentations on important current information security issues, including network phantom surveillance UAV/drone, REN-ISAC update, Payment Card Industry (PCI) update, and more! The conference includes breakfast items, lunch and conference t-shirt. Our favorite mascot may also make a cameo appearance.

The conference site, including registration, can be found here: http://www.cio.wisc.edu/lockdown-2014.aspx. For general questions, please send an email to lockdown@doit.wisc.edu
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DMPTool Unavailable May 28 http://researchdata.wisc.edu/news/dmptool-unavailable-may-28/ http://researchdata.wisc.edu/news/dmptool-unavailable-may-28/#comments Wed, 28 May 2014 13:00:18 +0000 http://researchdata.wisc.edu/?p=4933 [...]]]> dmp_tool_banner_verbose

As current users of DMPTool may have heard, DMPTool will be upgraded to a new and improved version on May 29th.   This new version will give users increased functionality, such as the ability to add a collaborator with equal editing rights.

Between 8:00-12:00pm CDT the DMPTool will be unavailable during the first phase of the transition.

At Wednesday May 28, 12:00pm CDT the old DMPTool (Version 1) will be available at https://v1.dmptool.org. You can continue to access and edit your existing plans, but you will not be able to create new plans.  The new DMPTool2 will be unavailable as the data are migrated before the wide release.

At Thurs May 29, 8:00am CDT the new DMPTool2 will available at https://dmptool.org.  All users and plans will have been migrated from Version 1. You can create new plans and edit existing plans in DMPTool2.

Version 1 of the DMPTool will remain available at https://v1.dmptool.org for a limited time (approximately one month).   You can access any plans you have already created, but will not be able to create new plans in Version 1; new plans should be created in DMPTool2. Any changes to plans in Version 1 will not be carried forward after May 28.

We will be following up soon with more details about DMPTool2.

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Data Visualization: Choosing tools and workflows across the research process http://researchdata.wisc.edu/news/data-visualization-choosing-tools-and-workflows-across-the-research-process/ http://researchdata.wisc.edu/news/data-visualization-choosing-tools-and-workflows-across-the-research-process/#comments Thu, 15 May 2014 14:32:51 +0000 http://researchdata.wisc.edu/?p=4907 Introduction:

Data Visualization can serve as a complement to statistics and as a part of your research process from analysis through publication. Visualization works with the human eye-brain system and can help a viewer see relationships, patterns, and outliers in his or her data.

Data visualization as a broad term can refer to anything from a small bar graph with a few values to an elaborate poster-like display that integrates multiple graphs, maps, photographs, short annotations, and longer text.

The variety of tools and types of visualizations can have varying degrees of alignment with data analysis tools. When choosing a tool and a workflow, a model developed in cartography can be helpful to connect the purpose of visualization with your design and communication needs. Although the model was developed for mapping, it can apply to other disciplines also as a way to help consider the audience and purpose of visualization, and help inform tool and workflow choices.


This model, proposed by DiBiase presents a research process with four stages:

  1. Exploration of data to reveal pertinent questions
  2. Confirmation of apparent relationships in the data in light of a formal hypothesis
  3. Synthesis or generalization of findings
  4. Presentation of the research at professional conferences and in scholarly publications


DiBiase Model: Visual Thinking/Private Realm

The visual thinking, tools, and methods can change as your research stages change. During early stages of your data analysis, visualizations may complement statistical methods and help you explore the data, to look for patterns or outliers. You might not show initial visualizations to anyone else, nor will they all result in meaningful insights. You may not show initial visualizations to anyone else, nor will they all result in meaningful insights.

The early stages are typically done privately, as an individual or small team of experts deeply involved with the research subject. At this stage of your research, the characteristics of visualization tools should support you in working efficiently with your time to generate multiple visualizations with repeatable, documentable methods. Visual design elements, such as colors and graphic symbols, the types of visualizations, and levels of detail, can be chosen to help you identify patterns, similarities and outliers. At this stage, the audience is an individual researcher or small team who is familiar with the data; the visualizations aren’t intended for a broader audience.

DiBiase Model: Visual Communication/Public Realm

As the research progresses, the work shifts as you begin to communicate ideas and results to colleagues and peers, and eventually to a broader public.

As your audience widens, the visualizations change to serve as a tool for communicating beyond the research team and possibly to an audience with less expertise in the field. Visualizations that were clear to experts might not be understood by a broader audience without the depth of knowledge or interest in the subject.

Graphic design elements become more important to help you use your visualizations to communicate your research results to an external audience. Choices of chart type, level of detail, color, symbols, typography, labels and annotation can make a difference in the clarity of communications.

A Simple Example

This simple example can help illustrate a distinction between an exploratory graph and a communication graph, potential tools and one example workflow.

Exploratory Graph:


This graph was produced in R, a language and environment that offers several statistical and graphical techniques. R is available as free software and it offers strengths in its ability to handle data, provide a programming language, and allowing users to define new functions. R is extensible through packages. Many packages are available that can provide specialized functions applicable to a variety of domains. One strength of R to the roles of visualization in a research process is in its ability to generate individual or multiple graphs through scripts that then serve as a documentation of the data handling and visualization process.

When a research project has progressed to a point of showing graphs beyond the researcher(s) closely familiar with the data, the communication value of the graphs could be enhanced by progressing beyond R’s default graph functions and using packages that offer additional graph functions.

Communication Graph:


Another option for generating public-audience graphs involves exporting a graph produced directly from the data into software that offers flexibility in design and pre-publication details. The example shown here was created by importing the scatterplot created in R into Adobe Illustrator, a vector-graphics software, and editing it for design elements. A strength of illustration software is that it affords flexibility to fine tune graphic design through wide choices in type, colors, shapes, annotations, and the ability to alter design element placement. A disadvantage is that a hand-editing process is prone to human errors. Because the graphic is separated from the data management environment, the editing tasks cannot be automatically replicated or easily traced.

The tools and methods that are effective for data exploration and analysis might not be the same as those for fine-tuning the visualizations for a public audience. As you work through a research process, considering the purpose and audience for your visualizations may help inform your choices in tools, methods, and efforts spent in polishing the graphic presentation.

DiBiase, David. 1990. Visualization in the Earth Sciences. Department of Geography, The Pennsylvania State University.  http://www.geovista.psu.edu/publications/others/dibiase90/swoopy.html

The R Project for Statistical Computing. http://www.r-project.org

Adobe Illustrator. http://www.adobe.com/products/illustrator.html

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WordCAKE Tool Workshop Friday 4/25 http://researchdata.wisc.edu/tools/wordcake-tool-workshop-friday-425/ http://researchdata.wisc.edu/tools/wordcake-tool-workshop-friday-425/#comments Thu, 24 Apr 2014 20:00:46 +0000 http://researchdata.wisc.edu/?p=4819 wordcake

Please join us tomorrow, Friday, April 25, 1:00 in Memorial Library Commons (4th floor) for a workshop covering the collaborative development and features/use of the WordCAKE tool (link for download will be distributed to participants).  WordCAKE offers an interactive 3D experience for exploring how word frequencies change over sequential texts.

We encourage participants to bring laptops and try out the tool following the introductory presentation.

WordCAKE is a plugin for a free 3D modeling application, SketchUp, so please begin by downloading the latest version here: http://www.sketchup.com/download

The WordCAKE plugin can be downloaded here:


In SketchUp, click “Preferences” then select “Extensions” click the button to “Install Extensions” and select the WordCAKE plugin

A link to the manual with more detailed install instructions: https://uwmadison.box.com/s/wp9q1qhq4dtli5cj4okn

A sample files folder (note file naming conventions): https://uwmadison.box.com/s/bilt0ri93ubuw2ew4nxc

Word selection tool overview video: https://uwmadison.box.com/s/gwnafidmk9dtkk8crzng

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