UW-Madison Research Data Services http://researchdata.wisc.edu Tue, 21 Apr 2015 17:38:06 +0000 en-US hourly 1 http://wordpress.org/?v=4.1 Final Spring Holz Brown Bag Talk http://researchdata.wisc.edu/news/final-spring-holz-brown-bag-talk/ http://researchdata.wisc.edu/news/final-spring-holz-brown-bag-talk/#comments Thu, 09 Apr 2015 15:06:56 +0000 http://researchdata.wisc.edu/?p=5447 [...]]]> BarryTRadlerThe final spring brown bag, The Role of Metadata in Research: Reflections on NADDI 2015, will be presented by Barry Radler, a researcher at UW-Madison Institute on Aging.

TIME: Wednesday, April 29, 12pm-1pm.

PLACE: Bunge Room, School of Library and Information Studies, 4th floor of Helen C. White Hall.

ABSTRACT: The increasing availability of research and other data via the internet has spurred interest in and the need for better documentation of such data. The Open Data movement gaining momentum among federal funding agencies, academic libraries, and professional journals is also contributing to a recognition that good documentation and metadata are essential to distinguishing the quality of research datasets and facilitating their discovery and use in an online environment of ever-expanding information. This presentation will provide a primer in metadata use and metadata standards like the Data Documentation Initiative (DDI). It will also include reflections by the presenter on his particular DDI use cases, as well as his experience hosting the 3rd annual North American DDI Conference. There will be an opportunity for questions and discussion.

ABOUT DR. RADLER: Dr. Radler’s research interests explore how human beings process information, make decisions, and behave in social, political, and marketing contexts. For the last 20 years he has explored, advocated, and implemented the use of information technologies to improve research processes and data. Dr. Radler is currently the Data Management Director for the MIDUS study (www.midus.wisc.edu), a complex longitudinal study that uses an XML metadata standard called the Data Documentation Initiative (www.ddialliance.org/) to develop web-based documentation.

Please RSVP for this talk if you plan to attend. View other talks in this series in our archive.

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Let’s Talk About Storage http://researchdata.wisc.edu/storing-data/lets-talk-about-storage/ http://researchdata.wisc.edu/storing-data/lets-talk-about-storage/#comments Thu, 09 Apr 2015 15:06:28 +0000 http://researchdata.wisc.edu/?p=5431 [...]]]> By Luke Bluma, IT Engagement Manager for the Campus Computing Infrastructure (CCI)

Data is a critical part of our lives here at UW-Madison. We collect, analyze, and share data every day to get our jobs done. Data comes in all shapes and sizes and it needs the right place to live. That’s where storage comes in.

However, storage can be a loaded term. It can mean a thumb drive, or your computer’s hard drive, or storage that is accessed via a server or cloud storage or a large campus-wide storage service. It is all of these things, but not all of these will fit your needs. Your needs are what matters and they will drive what solution(s) will work for you.

I am the Engagement Manager for the Campus Computing Infrastructure (CCI) initiative. I work with campus partners on their data center, server, storage and/or backup needs. Storage is currently a big focus for me, so I wanted to share some thoughts about evaluating potential storage solutions.

Storage Array in Data Center

Storage for CCI

The main areas to think about are:

  • What kinds of data are you working with?
  • What are your “must have’s”?
  • What storage options are available at UW-Madison?

What kinds of data are you working with?

This is the first big question you want to focus on because it drastically impacts what options are available to you. Are you working with FERPA data, sensitive data, restricted data, PCI data, etc.? Each of these will impact what service(s) you can or can’t utilize. For more information on Restricted Data see: https://www.cio.wisc.edu/security/about/campus-initiatives/restricted-data-security-standards/

What are your “must have’s”?

Once you have identified the types of data you are working with, then it is crucial to determine what are your must have requirements for a storage solution. Does it need to be secure? If so, how secure? Does it need to be accessed by people outside of UW-Madison? Does it need to be high performance storage? Does it need to scale to 20+ TB? Does it need to be accessible via the web? These are just example questions, and the key here is that there is no perfect storage solution. Some services do X, Y, Z and others do X, Y, A but not Z. So determining your “must have’s” will help you figure out which services you can work with, and which you can’t.

What storage options are available at UW-Madison?

Now that you have identified the kinds of data, and the “must have’s” for your solution the final step is to evaluate what storage options are available to you at UW-Madison. Storage is an evolving technology so specific services will change over time, but here are good places to start to learn more about what services are available to you:

  • Local IT – if you have a local IT group, then talk to them first about what local options may be available to you
  • Campus Computing Infrastructure (CCI) – if you need network storage or server storage that isn’t focused on high performance computing then CCI has several options that could work depending on your needs
  • Advanced Computing Initiative (ACI) – if you need to do high performance or high throughput computing then ACI has several options that could work depending on your needs
  • Division of Information Technology (DoIT) – if you need cloud storage, like Box.com, or local storage, like an external hard drive, then DoIT has solutions that could work for you as well

This can seem like a lot to think about, and to be honest it can be quite confusing at times. The good news is that you have help! Research Data Services (RDS) can be a great starting point for your storage needs. We can focus on the key question: what are you looking to do? Then we can help you evaluate some potential options for moving forward based on your needs.

To get started contact RDS at http://researchdata.wisc.edu/help/contact-us/ or contact me at cci@cio.wisc.edu

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Introducing ORCID at UW-Madison http://researchdata.wisc.edu/news/introducingorcid/ http://researchdata.wisc.edu/news/introducingorcid/#comments Thu, 02 Apr 2015 13:34:42 +0000 http://researchdata.wisc.edu/?p=5422 [...]]]> orcid_128x128

By Trisha Adamus, Data, Network, and Translational Research Librarian at Ebling Library

ORCID (pronounced “orkid”) stands for Open Researcher and Contributor ID. ORCID is an open, non-profit, community-driven effort to create and maintain a registry of unique researcher identifiers. An ORCID iD acts as a unique identifier for a person, much like a publication has a DOI. ORCID acts as a transparent “hub” between different sites and services in the researcher workflow – funders, publishers, repositories, research networks and more.

The ORCID Registry is available free of charge to individuals, who may obtain an ORCID identifier, manage their record of activities, and search for others in the Registry. The Health Sciences Library (Ebling Library), is a licensed member of ORCID, which allows the Library to link biographical and bibliographic information to ORCID identifiers, update ORCID records, to receive updates from ORCID, and to register employees and students for ORCID identifiers.

While not mandatory, publishers and funding agencies are increasingly adopting ORCID as a tool to manage submissions and applications. At some point in the future having an ORCID iD and using ORCID as a tool may be required. For new researchers, an ORCID iD offers a way to have an accurate record of scholarly output from the very beginning. An ORCID iD can be used on CVs, departmental webpages, email signatures, in professional directories and more.

You can set up your own ORCID iD using the Register for an ORCID iD website and your UW-Madison email address. If you created an ORCID iD using a different email address you can update your profile at orcid.org to add your current UW-Madison (@wisc.edu) address. The ORCID iD is tied to you, not any particular institution. You can add publications from previous jobs, and if you leave UW-Madison just update your ORCID profile with your new email address.

To learn more about ORCID please visit the Ebling Library webpage on ORCID or contact the University of Wisconsin – Madison ORCID Ambassador Trisha Adamusorcid.org/0000-0001-8464-3334.

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An Introduction to Research Data Sharing and Open Data http://researchdata.wisc.edu/sharing-data/an-introduction-to-research-data-sharing-and-open-data/ http://researchdata.wisc.edu/sharing-data/an-introduction-to-research-data-sharing-and-open-data/#comments Fri, 27 Mar 2015 17:00:05 +0000 http://researchdata.wisc.edu/?p=5342 [...]]]> by Lisa Abler, Assistant Scientist, Dept. of Comparative Biosciences, School of Veterinary Medicine

Image courtesy of Colleen Simon for opensource.com

Image courtesy of Colleen Simon for opensource.com

Researchers are increasingly exposed to the concepts of research data sharing and open data. Funders, publishers, research institutions and possibly even colleagues are introducing these phrases. Often, the differences between these concepts can be confusing, and understanding how one or both could affect your research may be a mystery. The following provides definitions, some benefits to researchers and a list of resources for learning more about these topics, as well as why and how to implement them for your lab.

What is Research Data Sharing?
Research data sharing is the act of making your research data available to others for reuse. There are a number of aspects that factor into data sharing:

  • Which data to share: raw data, processed data, both?
  • How to share the data: lab meetings, scientific meetings, journal publication, online databases?
  • With whom to share: coworkers, collaborators, peers, funders, the public?
  • How soon to share: immediately, after ensuring your own lab’s publishing needs are met, never?

There are also restrictions that may apply to data sharing at many levels, from institutions to publishers to the federal government (e.g., privacy). Fortunately, there are resources to help navigate these restrictions. See what UW-Madison, Johns Hopkins University and the University of Oregon have to offer on this topic:

What is Open Data?
As defined by The Open Definition, “Open data and content can be freely used, modified, and shared by anyone for any purpose.” In essence, open data is an unrestricted mode of research data sharing. The most important points to consider when making data open include:

  • Availability: Data must be available to anyone to use, with no restrictions based on person, group or undertaking
  • Access and usability: Data must be accessible, preferably downloadable over the Internet, and must be available as a whole, in a reusable format, for a reasonable reproduction cost
  • Licensing: Data must be made available as a whole and licensing must allow utilization without restrictions on use (i.e., in whole or in part), redistribution or modification

What are the benefits of sharing my data?
There are many potential benefits to sharing your research data:

  • Increases recognition through citation of datasets
  • Facilitates the exchange of ideas and sharing of expertise among peers
  • May be required by research funders or publishers
  • Increases visibility of and interest in your research, especially in a global research environment
  • Provides evidence of research findings, as well as opportunities for verification or validation
  • May allow opportunities for reciprocity; by sharing your data to further research, others may be willing to share with you
  • Can encourage collaborations or co-authorships
  • Can accelerate discovery if many qualified scientists are working on a common problem, particularly data analysis in complex fields
  • Avoids experimental duplications, especially in the case of negative findings or failed experiments
  • Sharing data is central to scientific progress, benefiting both research endeavors and the public

Where can I find more information?
Research Data Sharing

Open Data

Further Reading

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Get to Know the RDS Team: Brianna Marshall http://researchdata.wisc.edu/news/get-to-know-the-rds-team-brianna-marshall/ http://researchdata.wisc.edu/news/get-to-know-the-rds-team-brianna-marshall/#comments Sun, 22 Mar 2015 16:43:02 +0000 http://researchdata.wisc.edu/?p=5384 [...]]]> In this series, we introduce the team members who make up Research Data Services (RDS). This interview is with Brianna Marshall, RDS Chair and Digital Curation Coordinator at the General Library System.

Describe your role at the General Library System.

My position is a newly created role meant to explore the library’s role in data services on campus. In a nutshell, I lead Research Data Services and manage UW’s institutional repository, MINDS@UW. A lot of my job is strategizing for the future – where are we now? where do we need to be? – and trying to gather necessary resources.

What’s the most interesting project you’ve worked on recently?

It’s hard to pick just one, especially because one of my favorite parts about my job is how varied my days are! On any given day I will be doing a consultation with a researcher, giving a presentation, or tinkering with the repository. One current project that has captured my attention is a toolkit RDS is developing to pinpoint tools that support research data management. We are still in the prototyping phase but I am incredibly excited about having the chance to really clarify what tools are out there for different aspects of data management.

What excites you about supporting research data management on campus?

brianna_interviewThe University of Wisconsin is one of the top tier research institutions in the country. Being in a position to help support that incredible research is a big deal to me. I’ll be the first to admit that effective data management can quickly become overwhelming, so I love having the chance to say, Here are three small steps you can implement today that will make things better. As a native Wisconsinite, I’m also a proud advocate of the Wisconsin Idea – I know that the research coming out of UW benefits the entire state.

If you had an unlimited budget, what would you institute on campus?

Without a doubt I would invest in a data repository. Understandably, this is a huge financial investment that would need to be driven by campus. In my mind it’s an appropriate middle ground between on our existing repository, MINDS@UW, which is well-suited for publications, and the storage and backup options offered through DoIT. There needs to be an extra layer that allows for critical research data generated at UW to be archived and made discoverable. This will help researchers comply with federal funding mandates and allow UW to remain involved in an important piece of the research process.

Do you have a favorite UW building or landmark?

I’m partial to Science Hall. I was lucky enough to get a behind the scenes tour from the building manager when I started my job, and boy is it an interesting place. From the massive topographic maps on each floor to the old anatomy department (where they used to push bodies down a slide located in one of the towers!) to the secret attic, there’s a lot of intrigue there. If I ever write my mystery novel, I think I know the setting!

What do you like to do outside of work?

I make things: I’m a quilter, scrapbooker, and photographer. I enjoy seeking out adventure whenever possible. In the image included in this post I’m at the Apostle Island Ice Caves in my natural state: behind the camera.

Do you have a question for Brianna or the rest of the RDS team? Contact us today.

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Report: NISO Conference on Scientific Data Management http://researchdata.wisc.edu/news/report-niso-conference-scientific-data-management-caring-for-your-institution-and-its-intellectual-wealth/ http://researchdata.wisc.edu/news/report-niso-conference-scientific-data-management-caring-for-your-institution-and-its-intellectual-wealth/#comments Fri, 13 Mar 2015 18:57:29 +0000 http://researchdata.wisc.edu/?p=5326 [...]]]> By Allan Barclay, Information Architecture Librarian at Ebling Library

The National Information Standards Organization (NISO) held a virtual conference, “Scientific Data Management: Caring for Your Institution and its Intellectual Wealth” on February 18. A variety of data management projects and academic organizations were represented, including the US Department of Energy, Emory University, Tufts University, Oregon State University, University of Illinois at Urbana-Champaign, Force 11, the Center for Open Science and the RMap project. The web page for the event (including slide decks) is still available at the NISO website. Some highlights include:

The DART Project

A research project using data management plans (DMPs) from successful grant applications, the end product is a rubric for the review of future DMPs prior to submission. It can also help a institution identify gaps in research data management services. The rubric should be available for release later this year.


Force 11

Force 11 is “a grass roots community that developed out of beyond-the-PDF conferences.” They address issues such as data access and reuse, transparency in research, data citation, and attribution for the different roles and outputs in the research process. They host at least a dozen different forums for the discussion or creation of better standards and practices in research communications and e-scholarship.


Center for Open Science

The Center for Open Science is a non-profit technology start-up company working on a free, open source application called the Open Science Framework – a set of tools focused on transparency and reproducibility in the research workflow. Features include file sharing, provenance tracking, persistent URLs, automated versioning and API connections to common data storage providers including Figshare, GitHub, Amazon S3, Dropbox, and Dataverse.


RMap Project

RMap is a two year project that started with discussions between the Data Conservancy community at Johns Hopkins, Portico and the IEEE. The idea behind the project is that the “atomic unit” of scholarly research is a complex distributed object with building blocks of text, graphics, data, and more which resides in different locations at different institutions using different technologies. Not only do the different artifacts themselves need to be preserved, the links between them also need to be preserved. The RMap project hopes to create a framework and tools to facilitate this process, sort of like an operating system for a repository of scholarly research activities.


 

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Apply for the NADDI 2015 Student Scholarship http://researchdata.wisc.edu/news/apply-for-the-naddi-2015-student-scholarship/ http://researchdata.wisc.edu/news/apply-for-the-naddi-2015-student-scholarship/#comments Tue, 10 Mar 2015 17:45:37 +0000 http://researchdata.wisc.edu/?p=5317 [...]]]> NADDI_color

UW-Madison Research Data Services is accepting applications for a student scholarship to the North American Data Documentation Initiative (NADDI) 2015 conference. The conference will be held at the Pyle Center on the UW-Madison campus, April 8-10.

NADDI 2015 is the premier data documentation conference – a great opportunity for those using metadata standards and others interested in learning more to share stories, discoveries, and experiences. This conference will be of interest to future librarians and data professionals in the social sciences and other disciplines.

Student scholarship applications are due by Friday, March 20th. The scholarship will cover the conference registration fee. After the conference, the scholarship recipient will be asked to write a brief blog post sharing their experience on the RDS blog.

Please send a brief statement of interest and CV/resume to RDS Chair Brianna Marshall.

For more information about the conference and DDI please visit the conference website.

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Upcoming Brown Bag Talk on Open Access, Open Data, & Open Ed http://researchdata.wisc.edu/news/upcoming-brown-bag-talk-on-open-access-open-data-open-ed/ http://researchdata.wisc.edu/news/upcoming-brown-bag-talk-on-open-access-open-data-open-ed/#comments Mon, 09 Mar 2015 19:09:28 +0000 http://researchdata.wisc.edu/?p=5312 [...]]]> Our third brown bag talk, “Open Access, Open Data, and Open Ed Updates,” will be presented by Doug Way, Brianna Marshall, Carrie Nelson, and Jim Jonas.

TIME: Wednesday, March 18, 12pm-1pm.

PLACE: Bunge Room, School of Library and Information Studies, 4th floor of Helen C. White Hall.

ABSTRACT: In this talk, the presenters will introduce the concepts of open access, data, and educational resources. They will share recent updates in each domain and highlight existing resources for learning more. The second half of the presentation will be reserved for questions and unstructured conversation about these issues.

Please RSVP for this talk if you plan to attend. View other talks in this series in our archive.

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Guides, Tutorials, and Courses for Learning About Data Management http://researchdata.wisc.edu/news/selected-guides-tutorials-and-courses-for-learning-about-data-management/ http://researchdata.wisc.edu/news/selected-guides-tutorials-and-courses-for-learning-about-data-management/#comments Wed, 25 Feb 2015 16:20:45 +0000 http://researchdata.wisc.edu/?p=5282 [...]]]> by Cid Freitag, ‎Instructional Technology Program Manager at DoIT Academic Technology

Notebook-Data

If the data you need still exists;
If you found the data you need;
If you understand the data you found;
If you trust the data you understand;
If you can use the data you trust;
Someone did a good job of data management.

Rex Sanders ‐ USGS‐Santa Cruz*

Data management practices have been described in detail in a variety of documentation and tutorials, which may focus on specific needs and resources applicable to the organization that produced them. The following is a selected list of resources that are general enough to apply to different disciplines, and more broadly than the university or agency that developed them.

Guides and Tutorials

Data Science MOOCs

Several Massively Open Online Courses cover topics related to data analysis and research methods. Even if you choose not to do the coursework and earn a statement of completion, it’s easy to sign up for the courses, which gives you access to lectures and examples.

The Class Central website has curated a list of several data science and analysis methods MOOCs, developed by reputable sources.

The MOOCs listed here have been developed through Johns Hopkins University, and offered through the Coursera platform. They are part of a Data Science Specialization series of of courses, and have applicability to data management practices outside of specific analytical techniques. Each of these courses lasts 4 weeks, and are frequently offered. Currently, there is a new offering of each course starting each month from March through June, 2015.

The Data Scientist’s Toolbox, Jeff Leek, Roger Peng, Brian Caffo

“The course gives an overview of the data, questions, and tools that data analysts and data scientists work with.” It focuses on a practical introduction to tools, using version control, markdown, git, GitHub, R, and RStudio.

Getting and Cleaning DataJeff Leek, Roger Peng, Brian Caffo

“This course will cover the basic ways that data can be obtained…..It will also cover the basics of data cleaning and how to make data “tidy”… The course will also cover the components of a complete data set including raw data, processing instructions, codebooks, and processed data. The course will cover the basics needed for collecting, cleaning, and sharing data.” Tools used in this course:  Github, R, RStudio

Reproducible Research, Jeff Leek, Roger Peng, Brian Caffo

“Reproducible research is the idea that data analyses, and more generally, scientific claims, are published with their data and software code so that others may verify the findings and build upon them…This course will focus on literate statistical analysis tools which allow one to publish data analyses in a single document that allows others to easily execute the same analysis to obtain the same results.” Tools: R markdown, knitr


*Rex Sanders quote from: Environmental Data Management: CHALLENGES AND OPPORTUNITIES, Jamie Gerrard | March 2014

 

Looking for additional information about research data management? Contact us.

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Second Spring 2015 Holz Brown Bag Talk http://researchdata.wisc.edu/news/second-spring-2015-holz-brown-bag-talk/ http://researchdata.wisc.edu/news/second-spring-2015-holz-brown-bag-talk/#comments Wed, 11 Feb 2015 15:00:02 +0000 http://researchdata.wisc.edu/?p=5241 [...]]]> Photo courtesy of Kristin Briney

Photo courtesy of Kristin Briney

Our second brown bag talk, “Zero to Sixty: Establishing Research Data Services from Scratch,” will be presented by Kristin Briney, Data Services Librarian at the University of Wisconsin-Milwaukee.

TIME: Wednesday, February 25, 12pm-1pm.

PLACE: Cat Lab (4191F), School of Library and Information Studies, 4th floor of Helen C. White Hall.

ABSTRACT: What does it take to create research data services where none existed before? Kristin Briney will discuss establishing data services at the University of Wisconsin-Milwaukee. Her talk will include strategy and lessons learned 18 months into the process.

ABOUT KRISTIN: Kristin is a PhD chemist who works at the interface of science, technology, and information management. Her particular interests are: helping researchers manage their data, improving informatics systems through robust metadata and workflows, teaching information retrieval and management skills, and using technology to make science accessible to everyone.

Please RSVP for this talk if you plan to attend. View other talks in this series in our archive.

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