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“Data Curation for Reuse” at the ACRL 2017 conference

Tue, 03/28/2017 - 13:12

Submitted by Portal Editor Laura Palumbo, Chemistry & Physics Librarian/Science Data Specialist, Rutgers University, New Brunswick, NJ laura.palumbo@rutgers.edu

The Association of College and Research Libraries (ACRL) biannual conference, held last week in Baltimore, Maryland, presented a variety of informative sessions for academic librarians. There were several on data management topics, and I wished that I could have seen all of them. One that I attended was “Data Curation for Reuse: (Why Open is Not Enough)”, presented by Jared Lyle, Linda Detterman, and Elizabeth Moss, all of the Interuniversity Consortium for Political  & Social Research, at the University of Michigan, better known as ICPSR. The following synopsis includes only some of the interesting information presented during this session.

ICPSR is one of the oldest data repositories, and is operated by a consortium of over 750 institutions (ICPSR, 2017). The presenters discussed the curation activities undertaken by ICPSR, that enable their data to be discoverable and usable. Although dealing exclusively with social science data, the curation activities discussed are applicable to repositories in other areas as well. Some of the problems that can be encountered when datasets aren’t curated are a lack of metadata, which could render data unintelligible or hide possible biases; exposure of sensitive or personal data; and a lack of connection from the data to the published paper containing the analysis.

Ensuring good metadata is an important part of the curation process at ICPSR. Some of the significant metadata fields for social science data involve capturing the specifics of the population, the scope of the research, geographies, time periods, the number of respondents, and links to the survey instrument and codebook. Subject keywords are also important for discovery; and an indication of the existence of funders in order to uncover any biases that might be present. Provenance and versions need to be carefully maintained for accurate reuse. Links to publications, and data citation with DOIs are best practices that ICPSR uses and promotes.

In addition to making sure that the data is discoverable an intelligible, ICPSR also reviews and cleans the data it receives, to ensure that there is no risk of exposure of sensitive data through triangulation. In addition, it scans data deposits for personal information, such as social security numbers. Some sensitive data or data containing personal identifiers may be used with permission, and measures such as secure downloading, and virtual or even physical enclaves can be employed. ICPSR also has legal counsel and professional staff who oversee data security and related legal issues.

ICPSR, while doing all of these curation activities behind the scenes, allows for self-deposit of data. Depositors are encouraged to fill in some required metadata fields, and are reminded to review and clean their data before submitting it. Depositors have the ability to restrict access to sensitive data, and to share data through secure measures. Curation at ICPSR is quite an undertaking, and not one that everyone can replicate. Librarians who don’t have institutional repositories equipped to deal with this kind of data, were told that their efforts in research data management services such as planning, best practices, referrals to appropriate repositories, and help with metadata can benefit researchers as well as repositories receiving their researchers’ data.



Library Carpentry, Boston

Fri, 03/24/2017 - 12:30

MIT, NEASIST and NNLM NER are teaming up to bring Library Carpentry to Boston!

What is Library Carpentry?

Library Carpentry is made by librarians, for librarians to help you:

  • automate repetitive, boring, error-prone tasks
  • create, maintain and analyse sustainable and reusable data
  • work effectively with IT and systems colleagues
  • better understand the use of software in research
    and much more…

This Library Carpentry, one-day, hands-on workshop will cover jargon busting, data structures, using regular expressions for pattern matching, use of the Bash shell (aka the command line) to speed up and automate tasks, and using OpenRefine for data cleanup.

Who: The course is for librarians and information workers. You don’t need to have any previous knowledge of the tools that will be presented at the workshop –  beginners are welcome!

Where: Massachusetts Institute of Technology, Building 14N-132

When: 15 May, 2017

Cost: $30 – $45 per registration

Apply for a NNLM NER Sponsorship and attend the workshop for free! 5 spots available!
Fill out this quick form with information about your background and interest.
NNLM NER will cover the registration fee and travel to the workshop. Sponsored attendees will be required to submit a blog post about the workshop and their experience to the eScience Community Blog.

Check out more details about Library Carpentry Boston.


Belinda Weaver
Belinda Weaver organised the 2016 global sprint that took Library Carpentry from a single London workshop to a growing global community. A former librarian and repository manager, she now provides eResearch infrastructure to researchers at Queensland universities. Based in Brisbane, Australia, she is a certified Software Carpentry instructor and instructor trainer and serves on the Software Carpentry Steering Committee. She runs local skills and outreach events such as Research Bazaar and Hacky Hour and tweets as @cloudaus.

Juliane Schneider
Juliane Schneider has had a long, weird library career, with data and discovery as the common thread. She has worked as an insurance librarian, a medical librarian, as a database designer for EBSCO, a research data curator and is now the Lead Data Curator for Harvard Catalyst, and eagle-i.net. In 2016, with fellow UCSD librarian Tim Dennis, she organized and taught the first Library Carpentry workshop in the United States, and is a certified Data Carpentry instructor.

Library Carpentry
National Network of Libraries of Medicine, New England Region
New England Chapter of the Association for Information Science and Technology

The Best of #LYD17

Fri, 03/03/2017 - 12:30

Posted by Portal Editor Julie Goldman, eScience Coordinator, National Network of Libraries of Medicine, New England Region, University of Massachusetts Medical School, julie.goldman@umassmed.edu

Love your Data Week 2017 was a great!

Here’s a look at the week through some our our favorite tweets!

#loveyourdata is a 5-day int’l event to help researchers take better care of their data. #LYD17 starts on Feb 13: https://t.co/v4HcysJVqj pic.twitter.com/ISXXJsjs18 — Paperpile (@paperpile) January 16, 2017

  Cookies + Data = Love

Not sure why I thought baking for #Lyd17 was a good idea… pic.twitter.com/0wEChptmWo — Patricia Herterich (@PHerterich) February 12, 2017

Day 1 LYD17: Defining Data Quality

Will it be geoscience, physical chemistry or film studies? Find your perfect #data match with Data Dating! https://t.co/Ol5R6IWvAu #lyd17 pic.twitter.com/mYybAiaW76

— ANDS (@andsdata) February 13, 2017

  Snow in New England didn’t stop Love your Data Week!

Find your data match #LYD17! Perfect way to spend a #UNH snow day during #loveyourdata week @unhlibrary @UNH_GradSchool https://t.co/6GkpxsFukF — Patricia Condon (@pattibcondon) February 13, 2017

It’s not Love your Data Week without Data himself!

It’s here! #LYD17 https://t.co/Y3qTcI4GST #data #StarTrek pic.twitter.com/0YqEuud805

— Michelle Bass (@mbbassdrlib) February 13, 2017

Please don’t kick your computer…

Welcome to #loveyourdata week 2017! #LYD17 Theme = Data Quality @UMassMedical @umassmemorial pic.twitter.com/i1co1Y73zl — UMMS Library (@UMMSLibrary) February 13, 2017


Love your data week! Data quality #Monday: what would you add to the list? #lyd17 #LoveYourData pic.twitter.com/KnbyJwI4bE

— DataCite (@datacite) February 13, 2017

Insufficient data…

Bad or insufficient data quality affects the execution of your analysis and your results #LYD17 #Loveyourdata #insufficientdata pic.twitter.com/yvLCYhqxBs — Drexel Libraries (@drexellibraries) February 13, 2017


All you need is love (+ a data management plan!). #LoveYourData #YaleLovesData #LYD17 https://t.co/MWghjTH3iY pic.twitter.com/RQo9CvlDZT

— MJ (@MarieGarambois) February 13, 2017

More cookies! 

Happy Love Your Data Week! Join us at Hunt Library for cookies + giveaways 1-3pm today. Follow @CMULibraries all week! #LYD17 pic.twitter.com/E4DEouYYkN — Ana Van Gulick (@anavangulick) February 13, 2017


What’s one thing you can do this week to improve the quality of your data? Reply with your answer & get something special! #LYD17pic.twitter.com/kqZn9kEmug

— CMU Libraries (@CMULibraries) February 13, 2017

Love to see Portal Editor Laura advocating LYD!

Check out our brand new bookmarks for #LoveYourData week! @RULibraries @ryandata #LYD17 pic.twitter.com/ImityCamI8 — Laura Palumbo (@LauraBPalumbo) February 13, 2017

Good vs Bad Data

Learn how to tell the difference between good and bad data. #LoveYourData week: https://t.co/ikSpnzlYz6 #LYD17 pic.twitter.com/3KsVrA7mtD

— ASU Library (@ASULibraries) February 13, 2017

Data quality sound much better in French… Love to see the national recognition of LYD!

Pour l’amour des données de recherche… guide de bonnes pratiques de gestion par @bibudem https://t.co/JcbR2DAhyK #umontreal #lyd17 — Natalie Clairoux (@natalieclairoux) February 13, 2017

Collaborations & partnerships are great for advocating good data management.

It’s #LoveYourData week! Did you know the library partners with @NUITResearch to offer data mgmt workshops? https://t.co/6uMNrss9R5 #lyd17

— Northwestern Library (@NU_LIBRARY) February 13, 2017

Of course, lovable data isn’t just about the data you produce. How do you know you’ve found the right dataset for you? #LYD17 #loveyourdata pic.twitter.com/dfwpBxU7T7 — U of I RDS (@ILresearchdata) February 13, 2017

Do you know the FAIR Principles?

Quality data should be Re-usable—the R from FAIR https://t.co/6MS4IYIaOn #LYD17 #loveyourdata

— NNLM MAR (@NNLMMAR) February 13, 2017

Great to see more and more researchers adopting open data practices.

The amount of researchers already making their data open is increasing https://t.co/XbKeGrgiht #LYD17 #loveyourdata — ScHARR Library (@scharrlib) February 13, 2017

Are you Indiana Jones?

Today’s #LYD17 theme is data quality. AKA “Artifacts are for Indiana Jones, not your data”: https://t.co/lGpggfP56V — Kristin Briney (@KristinBriney) February 13, 2017

Quality data has certain characteristics. Does your data match up to these? How can you find data that does? #loveyourdata #LYD17 pic.twitter.com/HdnkdN6TU8 — Scholarly Commons (@ScholCommons) February 13, 2017

Happy Valentines Day for LYD!

Is your data accurate and consistent, or “good enough? Join the conversation. #LYD17 pic.twitter.com/G3HNDthzry

— Magrath Library (@MagrathLibrary) February 13, 2017

So many resources for improving your data!

Love your data week! Documentation #Tuesday: Improve your doc with all these resources! https://t.co/00qBMPs8Fe #lyd17 #LoveYourData pic.twitter.com/MmRi7TquzU — DataCite (@datacite) February 14, 2017

Day 2 LYD17: Documenting, Describing, Defining

#LoveYourData Day 2: Documenting, Describing, Defining. See our guide on making the most out of your metadata #LYD17https://t.co/c5UWJ4HuSF

— figshare (@figshare) February 14, 2017

  Data Humor

A codebook provides the information the article leaves out. Learn more with @ICPSR‘s guide: https://t.co/5txpH18auz #LoveYourData #LYD17 pic.twitter.com/PJkfPnGftX — Alicia Hofelich Mohr (@ajhmohr) February 14, 2017

Metadata: Love Note to the Future

Show your data you’re the one who *really* knows it… #LYD17#loveyourdatapic.twitter.com/Tg4113H8Kc

— U of I RDS (@ILresearchdata) February 14, 2017

  Document all the things!

Need to document your work? Here’s a guide to get started! #LYD17 https://t.co/n16cm5Ht8T pic.twitter.com/5bW0WSclXA

— U of MN Libraries (@umnlib) February 14, 2017

Always great visuals from University of Wisconsin-Madison Research Data Services

happy v-day from @UWMadRschSvcs! #LYD17 pic.twitter.com/aPtjK2gw0Z — Brianna Marshall (@notsosternlib) February 14, 2017

Need a good video?

Our colleague @KristinBriney has created an AMAZING demo to help you get off the ground w/ data dictionaries: https://t.co/Vqrp1yqRTr #LYD17

— Data Services (@nyudataservices) February 14, 2017

  Great to see many disciplines interacting in LYD!

It’s ‘#LoveYourData Week’ & #GVSUHTM students in HTM452 Hosp Mkting just happened to be covering #BigData today by coincidence! #LYD17 #GVSU pic.twitter.com/H4WlcHmVWV — GVSU HTM Department (@GVSUHTM) February 14, 2017

Love your data week! Rescuing unloved data #Friday: resources and examples to handle legacy or at-risk data https://t.co/uHETgTXR9v#lyd17pic.twitter.com/EeUXbFc4CF

— DataCite (@datacite) February 17, 2017

Yes, more Data.

Data that has been recorded by hand or on outdated technology or using proprietary formats is at risk. #LYD17 #loveyourdata #trlndata pic.twitter.com/uRvDCZZ0tN — NCSU Lib Research (@ncsulibresearch) February 17, 2017

‘Good Data’ applies to all different kinds of data

It’s Love Your Data Week, and at NCEI, our work revolves around data from the ocean to the sun. Gain access: https://t.co/ZTqunC10RI#LYD17pic.twitter.com/w6yH3Ddrzl

— NOAA NCEI Climate (@NOAANCEIclimate) February 17, 2017

Always provides a teachable moment

#LYD17 is almost over, but we don’t want it to end without sharing one of our fav videos on the topic: https://t.co/eueN0v9hbO #LoveYourData — Northwestern Library (@NU_LIBRARY) February 17, 2017


Research takes a lot of time & resources–it needs TLC! Tho we try, every now & again our data need rescuing! #LYD17https://t.co/qGjHjo6j7Ppic.twitter.com/NtnNYhn1bV

— Data Services (@nyudataservices) February 17, 2017

Is “data” singular or plural? Check out xkcd’s strategy: https://t.co/vFX3A0UpJ1 / https://t.co/4nQE30cKAQ #LYD17 #loveyourdata #trlndata pic.twitter.com/QcZ6tHeMOc — NCSU Lib Research (@ncsulibresearch) February 17, 2017

Love your data…forever (forever)!

Finish your research? Data continues to need care & love. Secure your legacy data to enable future research. https://t.co/mwN4f0FlEY#lyd17pic.twitter.com/N77hjLboH3

— Regenstein Library (@UChicagoReg) February 17, 2017

The end of Love your Data Week 2017…until 2018!

As we wrap up #lyd17 our heartfelt thanks to everyone who participated! We’ll post feedback form next week. Rmbr to #loveyourdata everyday ❤ — Heather Coates (@IandPangurBan) February 17, 2017

3D Printing in the Academic Health Sciences

Mon, 02/20/2017 - 15:58

Submitted by guest author, Michelle Halla, Library Information Associate, Senior, University of Arizona, michellehalla@email.arizona.edu.

3D printing is an additive manufacturing process that creates a physical object from a computer model.
While the technology itself isn’t new, it’s seen a recent resurgence thanks to lower cost, consumer grade printers.  Makerspaces are popping up in schools, communities, public libraries, and academic libraries.
Academic health sciences libraries are no exception.

It’s not hard to find 3D printing applications in medicine.  It’s being used in the field of prosthetics, to create low cost, easily scalable prosthetics for growing children (Birrell, 2017).  3D printing is being used for surgical planning, from broken bones to congenital heart conditions (Yang et al., 2016; Valverde et al., 2015).  In the world of pharmaceuticals, 3D printing is being explored as a way to precisely adjust dosing in medication (Sanderson, 2015).  The National Institute of Health has a 3D Print Exchange [https://3dprint.nih.gov/], a library of printable 3D models that includes a molecule of the month and a cardiac library.  Given the breadth of applications, 3D printing is equally as home in the academic health sciences library as the public library.

In February 2015, The University of Arizona (UA) Libraries started a 3D Printing service after recognizing a need in their user base.  While 3D printing is available elsewhere on campus, students have to be enrolled in specific programs or courses, and may not have ongoing access.  The majority of students did not have access to this technology, but by offering a 3D printing service at the library students in all disciplines could benefit.  In response to growing demand and the overall direction of 3D printing, that service expanded and 3D printing was offered at a second location, the UA Health Sciences Library, in March 2016.  To date, we’ve had over 400 submissions at the Health Sciences Library.

Below are some of the ways we’ve seen our student utilize this service.

Rapid prototyping

3D printing an item can take anywhere from a few minutes to several days, depending on size, complexity, and resolution of the model.  For example, a highly complex 3D printed brain model that we’ve printed (discussed more below) runs around 36 hours.  However, most of the items we print take just a few hours.  From submitting a design to picking up the print, our typical turnaround time ranges from 72 hours to two weeks.  This means that students can design, print, and test their device in real world settings very quickly.  Since the service is low cost to students, it is also low risk for students to submit multiple prototypes.  When items fail to print properly, we offer the failure to students free of charge, which many students have taken to redesign their item to print better.

One such project that’s taken advantage of this rapid prototyping is an ovary spoon designed by Davis McGregor.  An undergraduate student working in the Tissue Optics Lab. McGregor designed a device to hold the ovary of a mouse outside the body during imaging: “The tissue needs to remain stationary during the long image acquisition, thus isolation from the breathing mouse body is essential. The overall goal of the research project is to search for precancerous tissue abnormalities. Extrapolating this data to humans, this would allow us to use an endoscope to scan the ovaries and fallopian tubes of high risk women for any precancerous indicators, and hopefully reduce the number of preventative hysterectomies in young women. The use of 3D printing has allowed us to test and tweak designs at an extremely low cost.”

To date, McGregor has submitted seven different designs for his ovary spoon, and each individual spoon costs less than a dollar.

Custom parts

Necessity is the mother of invention, and the need for custom parts is a contributor to the original designs we print.  We’ve had several students submit designs based on modifying medical devices and imaging machines to work when doing research with rodents or other animals.  Retrofitting parts designed to work for humans is a challenge, and several students have found that 3D printing offers the opportunity to design a part for their exact need.

Anatomical & educational models

Prior to the expansion of the 3D Printing service to the Health Sciences Library, Andrew Demarco submitted a 3D model of a human brain.  His own brain, in fact.

Demarco, then a PhD candidate in neuroaudiology and now a post-doctoral trainee at the Cognitive Recovery lab in Georgetown University Medical Center’s Department of Neurology, was doing research that used functional MRIs to study how strokes affect the language centers in the brain after stroke.  He submitted a 3D model of his own brain, created from an MRI scan, which he intended to use as a teaching model.  Traditional brain models can cost hundreds of dollars, while his model costs just $40-50 in material.


Many students find the entry point to 3D printing through available, free 3D models on sites such as Thingiverse.com.  After expanding the service to the Health Sciences Library, our first submissions wasn’t anatomical heart models or original, creative applications.  Our first submissions included multiple Pokemon characters and a Harry Potter wand.  However, even these so called “non-educational” applications pique the interest of student and offer learning opportunities on the mechanics of 3D printing. One of our most frequently asked questions is, “why doesn’t my completed item look exactly like the model?”, which allows us to elaborate on the way 3D printers build objects from the ground up and need support structures in order to properly print steep overhangs.  Student may try modifying an existing design- adding personal touches by changing text, size, or other features.  Students don’t need to already have working knowledge of CAD programs in order to use the service, but we’ve heard from students that printing designs created by others encouraged them to learn design, too.

You can learn more about the 3D printing service offered at UA Libraries here: http://new.library.arizona.edu/visit/print/3D


Birrell, I. (2017).  3D-printed prosthetic limbs: the next revolution in medicine.  The Observer.  Retrieved from https://www.theguardian.com/technology/2017/feb/19/3d-printed-prosthetic-limbs-revolution-in-medicine

3D printing: the future of manufacturing medicine?  The Pharmaceutical Journal, 6 June 2015,
Birrell, I. (2017).  3D-printed prosthetic limbs: the next revolution in medicine.  The Observer.  Retrieved from https://www.theguardian.com/technology/2017/feb/19/3d-printed-prosthetic-limbs-revolution-in-medicine

Sanderson, K. (2015).  3D printing: the future of manufacturing medicine?  The Pharmaceutical Journal, 6 June 2015, Vol 294, No 7865. http://doi.org/10.1211/PJ.2015.20068625

Valverde, I., Gomez, G., Suarez-Mejias, C., Hosseinpour, A.-R., Hazekamp, M., Roest, A., Vasquez-Jimenez, J. F., El-Rassi, I., Uribe, S., & Gomez-Cia, T. (2015). 3D printed cardiovascular models for surgical planning in complex congenital heart diseases. Journal of Cardiovascular Magnetic Resonance, 17(Suppl 1), P196. http://doi.org/10.1186/1532-429X-17-S1-P196

Yang, L., Shang, X.-W., Fan, J.-N., He, Z.-X., Wang, J.-J., Liu, M., Zhuang, Y., Ye, C. (2016). Application of 3D Printing in the Surgical Planning of Trimalleolar Fracture and Doctor-Patient Communication. BioMed Research International, 2016, 2482086. http://doi.org/10.1155/2016/2482086




Reflection: ACRL Data Management Roadshow in Boston

Thu, 02/16/2017 - 12:30

Submitted by Guest Author Tom Hohenstein, Research Data Management Librarian, Boston University and NER eScience Advisory Board Member, tah@bu.edu


On January 13, 2017 Boston University, the Boston Library Consortium, the National Library of Medicine – New England Region sponsored the Association of College and Research Libraries Research Data Management Roadshow (ACRL RDM Roadshow). The one-day workshop was lead by Abigail Goben, Assistant Professor and Liaison Librarian at the University of Illinois – Chicago, and Megan Sapp Nelson, Associate Professor and Liaison Library at Purdue University. 80 librarians from the New England area attended to learn about “Building Your Research Data Management Toolkit.”

The workshops goals were to help participants

  • identify their existing skills and how they can transfer those abilities to support researchers throughout the data life cycle
  • locate on-campus offices to partner with to support researchers needs
  • learn the common parts of data management plan
  • identify the data management requirements of the various disciplines each liaison supports


After the welcome and introduction we started the day’s first session on “Situating Libraries in Data.” This topic focused on helping librarians understand the data life cycle and the potential roles that libraries can have providing data management services. During a breakout session participants brainstormed interactions they might have with researchers about their data. Each of the small-group discussions were shared with the larger group by posting our thoughts on a large notepad and reviewing each groups’ conclusions.

Our next session highlighted the existing skills librarians have and how they apply to data management. This excellent session helped participants appreciate that as subject liaisons we are well positioned to help our disciplines with data management because we not only have subject knowledge but also have training in reference interviews, making referrals, providing instruction, and marketing our services. All of these skills are essential to being an excellent provider of data management services.

The final morning session increased our knowledge about the data management needs and best practices of the disciplines we support. Topics included how to speak with researchers about their data and how to gather information prudently to maximize the outcomes of our time. We broke into small groups for a think-pair-share to talk about the data librarians create and analyze as well as the disciplinary norms of our profession. This was a particularly great exercise as it reflected the ways we do and don’t practice good data management within our field and that we should be understanding of the difficulty other researchers have as well.


The afternoon began with the various parts of a data management plan and its role in helping researchers manage their data. By understanding the products of research, potential data formats, policies for reuse and sharing, and the importance of archiving and providing long-term access to data sets we learned how our existing skills could be put into practice. During this session we also reviewed practical resources like the DMPTool and Data Curation Profiles and how we can make use of them to support researchers.

The fifth session highlighted the various partners librarians might have on their respective campuses. The importance of finding campus partners is critical to building a culture of data management at any institution. We learned about when it is best to build a relationship when it is best to simply refer researchers to an campus resource. We also developed an elevator pitch about the library’s resources to support data management on campus and how to effectively communicate our services to key stakeholders.

The day ended with an open discussion of some of the instructors successes and failures. This was not only insightful but also effective at detailing some of the real challenges and rewards librarians have had starting data management services. It also highlighted the instructors experiences and knowledge in an effective manner. It was a great way to end the day.

The ACRL RDM Roadshow was a great event for New England librarians interested in learning more about data management and how to support researchers on their campuses.

For more information about the presenters and the ACRL RDM Roadshow please visit: http://www.ala.org/acrl/rdmroadshow

Upcoming eScience Event: Breaking Down RDM Instruction

Thu, 02/09/2017 - 12:30

5th Research Data Management Roundtable Event
Breaking Down RDM Instruction
Thursday, March 2, 2017 10:00am – 4:00pm
University of Massachusetts Amherst
W.E.B Du Bois Library, Room 2601

 Morning session: RDM Learning Objectives

  • A panel of your colleagues will talk more about developing learning objectives, and best practices for creating RDM instruction learning objectives. Panelists include: Thea Atwood (UMass Amherst), Megan Bresnahan (UNH) & Zac Painter (UMass Dartmouth)
  • The following Roundtable will focus on your experiences creating RDM instruction learning objectives.

Afternoon session: RDM Assignment Building

  • Presentation and hands-on workshop from Brian Baldi, UMass Amherst Institute for Teaching Excellence and Faculty Development. This interactive workshop will help you frame an assignment for a one-shot session, whether you are a seasoned one-shot instructor or someone who is just beginning to think about instructional design.
  • The following Roundtable will focus on assessing and reflecting on RDM teaching.

For more information and registration: 
FYI: Registration is open until March 1st!

Join us for an eScience Advisory Board meeting!

Tue, 02/07/2017 - 12:30

A message from Linda Plunket, Associate University Librarian for Graduate & Research Services, Boston University and NER eScience Program Advisory Board Chair, plunket@bu.edu

Join us for an eScience Advisory Board Meeting

Would you like to participate in an eScience Advisory Board meeting? If so, feel free to join us for our next virtual meeting on Wednesday, February 15, 11am – 12pm EST. Contact Julie Goldman (Julie.Goldman@umassmed.edu) for call-in information.

As chair of the New England eScience Advisory Board, I thought it might be helpful to describe briefly the purpose and activities of the Board in supporting many of the activities and programs sponsored by the National Network of Libraries of Medicine (NNLM) in the New England Region (NER).  I’ve also included a link to a webpage of Board members and listed some of the opportunities that exist for members of our community to become more involved.

Purpose and Activities

The Advisory Board acts as a liaison between the funding agency (NN/LM) and the committees and groups in New England that are carrying out the goals of the grant proposal. The Advisory Board facilitates communication among the committees and groups working on developing tools and resources, such as the eScience Librarian Portal, and creating programs, such as the upcoming Science Boot Camp 2017. Julie Goldman, eScience Coordinator, is an invaluable asset for the Board, keeping us organized and on track.

Board Membership

A listing of the Advisory Board members (current and past) may be found on the eScience Librarian Portal.

Opportunities for Greater Involvement


We hope you’ll join an Advisory Board call on February 15!

Registration is Now Open for the 9th Annual NE eScience Symposium April 6, 2017

Fri, 02/03/2017 - 12:30

To continue to enhance collaborative New England Region libraries’ support of e-science initiatives for their research institutions, the NNLM New England Region is hosting the 9th Annual University of Massachusetts and New England Area Librarian e-Science Symposium. This day-long event will serve as an educational and collaborative opportunity for science and health sciences librarians to discuss e-science resources, in addition to future roles that libraries and librarians might take on to support their institutions.

The 2017 Symposium theme “Libraries in Data Science: Addressing Gaps and Bridges” will focus on collaborations and opportunities for librarians becoming involved in data science at their institutions.

Attendees will hear a keynote from Kristi Holmes, Northwestern University. Kristi is Director, Galter Health Sciences Library, Feinberg School of Medicine; Associate Professor, Preventive Medicine (Health and Biomedical Informatics); and Director of Evaluation, Northwestern University Clinical and Translational Sciences (NUCATS). Her keynote will focus on her library’s success involved in Northwestern University’s NIH Clinical and Translational Science Award. We hope this session will inspire and motive attendees to “think outside” the library and identify potential bridges for data services.

Breakout sessions are back this year! Participants will be able to attend 2 of 4 planned sessions featuring collaborations libraries are currently involved in. See complete descriptions.

  • Data Repositories Interactive Workshop: Andrew Creamer and Hope Lappen, Brown University
  • Education & Training Interactive Workshop: Sophie Hou, University Corporation for Atmospheric Research and Nancy Hoebelheinrich, Knowledge Motifs, LLC
  • Education & Training Presentation: Sex, Lies, and Data with Shea Swauger, University of Colorado – Denver
  • Institutional Models Presentation: Christine Malinowski and Phoebe Ayers, MIT

In the afternoon, there will be a moderated panel discussing the ways librarians and libraries can work with institutional partners (either on/off campus) to enhance data science. The panel will be moderated by Sally Gore, Research Evaluation Analyst, University of Massachusetts Center for Clinical and Translational Science. Participants on the panel include:

  • Daina Bouquin, Head Librarian, John G. Wolbach Library, Harvard-Smithsonian Center for Astrophysics
  • Audrey Mickle, Data Librarian, Marine Biological Laboratory Woods Hole Oceanographic Institution Library
  • Yvette N. Woell, Manager, Argonne Research Library, Argonne National Laboratory

Additionally, as with previous symposia, a poster session will be held, to highlight work in e-science that has been accomplished at various libraries in the region while also encouraging discussion and networking among event participants. This year’s symposium will again feature a poster competition with three different competition categories. You are invited to submit a poster abstract; we are still accepting submissions until February 8th!

The symposium will be held on Thursday, April 6th, 2017 in the Faculty Conference Room at the University of Massachusetts Medical School in Worcester, Massachusetts. The event is free of charge, but advance registration is required; due to strict space limitations, attendance will be capped at 100 people.

For further details & registration, please visit the symposium website: http://escholarship.umassmed.edu/escience_symposium/2017

Please direct any questions to:

Julie Goldman, MLIS
eScience Coordinator
National Network of Libraries of Medicine, New England Region
University of Massachusetts Medical School
55 Lake Avenue North
Worcester, MA  01655
(508) 856-3048

A Love Note for #LYD17: Love Your Data Week

Tue, 01/03/2017 - 12:30

Posted on behalf of the LYD Week Planning Committee:
Thea Atwood, Michelle Bass, Heather Coates, Patti Condon, Erin Foster, Carla Graebner, Cinthya Ippoliti, Renaine Julian, Sebastian Karcher, Inna Kouper, Amy Neeser, Melissa Ratajeski

Love Your Data Week is right around the corner on February 13-17, 2017!

This year’s theme is emphasizing data quality for researchers at any stage in their career.  Visit our website: https://loveyourdata.wordpress.com/ or follow us on Twitter #LYD17 or #loveyourdata to gain inspiration, share ideas, and find new ways to promote data services and resources at your library and beyond!

Please tell us if you plan to participate and we will list your institution’s name on the site so we can continue to grow the community of data lovers.

BD2K Guide to the Fundamentals of Data Science Webinar Series Continues!

Thu, 12/29/2016 - 12:30

The NIH Big Data to Knowledge program is pleased to announce the spring semester of The BD2K Guide to the Fundamentals of Data Science, a series of online lectures given by experts from across the country covering a range of diverse topics in data science. This course is an introductory overview that assumes no prior knowledge or understanding of data science.

This semester will cover computing, data modeling, and overarching topics. The series will run through May, meeting once per week at 12noon-1pm Eastern Time/9am-10am Pacific Time.

To join the lecture: https://attendee.gotowebinar.com/register/341938597813942273 

This is a joint effort of the BD2K Training Coordinating Center, the BD2K Centers Coordination Center, and the NIH Office of the Associate Director of Data Science.

The following topics will be covered in January through May of 2017:

1/6/17:   Computing Overview (Patricia Kovatch, Mount Sinai)
1/13/17: Workflows/pipelines (Rommie Amaro, UCSD)
1/20/17: Running a Data Science Lab (Trey Ideker, UCSD)
1/27/17: Modern Computing: Cloud, Parallel, Distributed, HPC (Umit Catalyurek, GA Tech)
2/3/17:   Commons: lessons learned, current state (Vivien Bonazzi, NIH)

2/10/17: Data Modeling Overview (Rafael Irizarry, Harvard)
2/17/17: Supervised Learning (Daniela Witten, U Washington)
2/24/17: Unsupervised Learning (Ali Shojaie, U Washington)
3/3/17:   Algorithms, incl. Optimization (Pavel Pevzner, UCSD)
3/10/17: Bayesian inference (Mike Newton, U Wisconsin)
3/17/17: Data issues: Bias, Confounding, and Missing data (Lance Waller, Emory)
3/24/17: Causal inference (Joe Hogan, Brown)
3/31/17: Data Visualization tools and communication (Nils Gehlenborg, Harvard)
4/7/17:   Modeling Synthesis (John Harer, Duke)

4/14/17: Open science (Brian Nosek, UVa)
4/21/17: Data sharing (Christine Borgman and Irene Pasquetto, UCLA)
4/28/17: Ethical Issues (Bartha Knoppers, McGill)
5/5/17:   Reproducible Research (John Ionnaidis, Stanford)
5/12/17: Additional considerations for clinical data (Zak Kohane, Harvard)
5/19/17: BD2K Guide Summary & NIH Context (Phil Bourne, National Institutes of Health)

The first semester of the series covered Data Management and Data Representation. To see archived presentations, go to: http://www.bigdatau.org/data-science-seminars.

Notes from the November 2016 New England RDM Roundtable Discussion

Tue, 12/27/2016 - 12:30

The fourth New England Research Data Management Roundtable was held November 15, 2016 at the University of New Hampshire in Durham, NH. This roundtable was the fourth in a planned series of roundtable discussions targeted for New England librarians who are engaged in research data management services or who want to learn more about data librarianship. Sponsored by the National Network of Libraries of Medicine, New England Region, the NE RDM Roundtables provide opportunities for New England librarians to compare notes, ask questions, share lessons learned, explore new working models, acquire fresh ideas for their workplaces and develop new partnerships.

Coupled with the afternoon roundtable discussions, the morning session focused on ‘data visualization.’ Featured were two presentations from visualization experts from the area speaking about data visualization and connections to and collaborations with the library from the perspective of non-librarians:

Steven Braun, Data Analytics and Visualization Specialist
Northeastern University Libraries Digital Scholarship Group
Steven shared insights about his work with data visualizations, the services he supports at Snell Library, and also some challenges he has encountered with data visualization. One main challenge Steven voiced is how to provide general support for data visualization which is very interdisciplinary and includes many broad subject disciplines. Steven also proposed several questions for librarians to think about: why should the library offer data viz services; how do you measure the impact of your services; how do you provide that broad support; and how can you collaborate within & outside the library?

Patrick Rashleigh, Data Visualization Coordinator
Brown University Library
Patrick started his presentation a ‘tour’ of the Digital Scholarship Lab (DSL) at Brown University and spoke about the types of services his is offering. Patrick went on to highlight the many different types of visualizations that exist, and coupled those with the types of skills one needs for different visualization types and services. We must think about what “data visualization” means, and also what a data visualization “specialist” is. Related to Steven’s presentation point about data viz being an interdisciplinary subject, a data viz specialist must also, therefore, have a wide variety of skills in order to support a wide range of services. Patrick points out that while he works with people specifically on creating data visualizations through coding and design, he must also take on roles of a manager or coordinator to run the DSL at Brown.

After the presentations, participants also had the opportunity to tour the UNH’s Data Visualization Research Lab, located in the Jere A. Chase Ocean Engineering Lab. The DVRL is collaborating with many departments on campus to convey research results in ways that are easy to understand and comprehend. They are using interactive and cutting-edge technology, such as virtual reality, to create data visualizations that do just that! Check out some of the work they are producing on their website: http://ccom.unh.edu/vislab

In the afternoon roundtable discussions, librarians from multiple New England institutions discussed the topic “Event Planning and Outreach.” Members of the planning group moderated the discussion and prompted the group with multiple questions related to planning and marketing events.

The following is a summary of discussion questions, attendee responses and comments from the November Roundtable Discussion:

Topic 1: Event Planning

Question 1: What events have you planned in the past, and how did you determine what the event would cover?

  • Events that targeted at librarians
  • Review what to cover, the scope, and the learning objectives by surveying the environment.
  • Used surveys, evaluations from previous sessions, local network, and from advisory groups to determine event topics
    More experience with one-on-one consultations
  • 3-credit class instruction with lots of guest speakers
  • Currently working with grants—about grant searching and trying to get involved at the start of the grant process
  • Scholarly communications class on data management—did not have a lot of attendance but thought the class was good
  • OA Week: multiple no show events
  • Just getting started, no events yet
  • Poorly attended workshops but students were very excited by them—urged them to “tell your friends,” but still very low attendance
  • Liberal Arts free lunch for faculty, with Provost in attendance—good turnout, but they expected more specific instruction on how to manage their data
  • LibGuide on RDM, presented using it to Teaching, Learning & Research (liaison librarians and a few others)
  • Planning a workshop for liaison librarians—what they should be doing to get up to speed
  • PPT for DM tweaked for different audiences around campus
  • Brought in a guest speaker that taught librarians about data management and being a liaison, worked with a data committee to include the library and connected and then offered him as a speaker to the whole university community
  • While there’s interest, the library is still struggling with skills and how to obtain them
  • Student need/Faulty need spurred in how they need help tackling data

Question 2: What components of your events were successful or unsuccessful?

  • Classes need student and faculty feedback—but it’s a great way for libraries to learn about the classes they are offering
  • Short topics and short events seemed to garner more interest and more attendance “library pop-up sessions”
  • Used button maker with success
  • Use 3 x 5 format—3 slides and 5 minutes
  • Food, raffles, contests, working with faculty
  • How to connect workshops to the curriculum of the faculty you support—try to add value to the classes
  • Good lures can be food, wine, and cheese (if possible!)
  • Have the right pitch for what the library is—we need to think about what we are communicating to faculty about our efforts and how to communicate the library’s mission
  • For faculty research is a process—try to use mind mapping or scaffolding tools to try to understand their process
  • We need to avoid being a “tool bag”—how to brand our workshops and services to be more than a bag of tools
  • Communicate transferable skills—connect skills to other skills in real life such as tasks on information management

Question 3: How would you adapt what you offer now based on what you’ve learned?

  • Need to limit it to specifics and make the title more specific
  • Really important to have a great title or your workshop.
  • Better marketing & better timing
  • What can we do other than workshops?
  • One on one is terrific, but not scalable
  • If faculty encourage their students to attend, they attend. How to get faculty to do this?
  • Much better buy-in with certain departments/areas where you may have an especially good liaison relationship
  • Have students give you appointment times that work for them, and then trick them into coming to a group session!
  • Possible to incorporate some DM training into subject area training
  • Talk about data management as “workflow management” or “project management”
  • Make faculty understand that it is important for their students to learn DM best practices as part of their overall education
  • Working with data services to see how they can connect, connecting with each digital aspects of campus

Question 4: Who did you collaborate with to plan your events?

  • “New Blood”—new librarians that inspire and bring energy
  • Talking to other librarians and seeing how data literacy and data visualization
  • Office of compliance helped advertise event
  • Trying to collaborate with IT
  • Office of Professional Development—very successful

Question 5: Were your events evaluated? What were the responses?

  • Try to capture the learning objects for review (take pictures)
  • Currently working with grants—about grant searching and trying to get involved at the start of the grant process (mixed reception about workshops)

Question 6: What other sources have inspired you when planning your events?

  • Information literature pedagogy
  • Problems in data management
  • Tools, methodology and pedagogy
  • Receive output, for example minute papers at the end of the session
  • Use the techniques done at software carpentry sessions
  • Links and surveys at the end of the session
  • Communicate with faculty to determine what information is needed
  • Get questions from Faculty about using R—more and more questions
Topic 2: Marketing and Advertising Events

Question 1: Are there campus partnerships established for promoting and incentivizing events?

  • Office of Sponsored Programs
  • First year orientation at the beginning of the year
  • Diversity and Inclusion Office—market to support and assist groups
  • Think about language around hack-a-thons
  • Connecting the library with other groups at institutions for space in new buildings
  • Public services
  • Book talks
  • Graduate students through liaisons to each department
  • Use outside speakers like the Center for Open Science to help connect with new audiences
  • Grad students come when it’s rewarded with credit or grades
  • Good turnout when partnering with grad programs

Question 2: When are your events more popular? Are certain events more popular than others?

  • Successful events have been after 5pm
  • When faculty require that students attend
  • Location on campus is important to attendance

Question 3: Do you have a marketing plan at your library? Do you have an established group that facilitates marketing?

  • Many libraries with no marketing plan
  • Library with a marketing plan—it’s gone nowhere
  • Marketing can be a tough aspect for the event—but faculty liaisons can partner with departments and create well attended events and interests
  • Ideally, it’s a necessary thing for a team
  • One campus has social media people to help form tweets that connect with students and talking points for library services
  • Using student staff workers for social media has helped
  • Wish there was an intern program—like a grad student in marketing to help with marketing and outreach
  • Tweeting, emails, creating visuals
  • Facebook presence only—recommended using Buffer to schedule social media events throughout the week
  • You can create a Snapchat filter for the library’s spaces—every time a student posts they can choose the library as a geotag filter!
  • Not just posting library events, but also posting interesting information

Question 4: How do you target a particular audience?

  • Event coordination checklist—use from another partner on campus
  • Communicating campus-wide
  • Emailing groups
  • Have events list and list for tracking outreach
  • Talk to students while engaging in another activity
  • Tech talk—had a tech talk on mass catalog

Question 5: Have you ever marketed an event to a particular audience, only to have another one show up?

  • Trying to get graduate students to events, but more undergraduate seem to be attending
  • Some problems with only librarians showing up to events that are for faculty or graduate students

Question 6: How are your marketing efforts evaluated?

  • Social media stats
  • Using internal registration to see who’s coming
  • It’s important to find what’s more interesting with students—remove the disconnect and remember to connect with students

Upcoming NEASIST Event: Service Design

Thu, 12/22/2016 - 12:30

Posted on behalf of Kate Nyhan, Research and Education Librarian – Public Health,
Cushing/Whitney Medical Library, Yale University, kate.nyhan@yale.edu

Are you planning to rethink your library’s services, spaces, or systems in 2017?

Get a good start towards an ecosystem tailored for great user experience by participating in Service Design: The Holistic Experience.

Three Keynote Speakers
Six Participatory Breakout Sessions
Five Student Lightning Talks

With participatory breakout sessions and thoughtful keynotes, this one-day conference will give you the concepts you need to talk to stakeholders in your organization about service design. It will give you tools you can use to gather the data that will inform your organization’s service design discussions. It will give you a platform to share your ideas and experiences designing better services.

The New England Chapter of the Association for Information Science and Technology, together with the Simmons College Student Chapter, invite you to participate in Service Design: The Holistic Experience.

Where: Simmons College in Boston
When: Thursday, 1/12/17, starting post-rush hour at 9:30 AM
Cost: $35-$75

Details and registration

Questions? Ask kate.nyhan@yale.edu or LChoy@wheelock.edu

Broken link? Try http://tinyurl.com/2017servicedesign

RDAP Registration and Call for proposals for posters, lightning talks, and more, now open!

Tue, 12/20/2016 - 15:00
The Research Data Access and Preservation (RDAP) Summit, to be held April 19-21, 2017, in Seattle, WA, invites applications from managers, users, and generators of digital data from all sectors, including industry, academia, government, and cultural heritage centers, for poster presentations, lightning talks, and “institutional snapshots” as described below.   Also, new this year, we invite attendees to “bring your current data challenge” to RDAP and discuss with other attendees to address, or begin to address, your challenge! This is described in more detail in the form.   Please submit proposals via https://goo.gl/forms/lf1kFcC2eIj6Ft4H2 by January 13th. All submissions will receive notification by January 27th.   To view proposal submission form questions prior to submission go to https://goo.gl/7Lz1JH      Questions can be directed to the RDAP Program Chairs, Brianna Marshall (brianna.marshall@wisc.edu ) and Yasmeen Shorish (shorisyl@jmu.edu).  

New Issue: Journal of eScience Librarianship

Mon, 12/19/2016 - 12:30
Volume 5, Issue 1 of the Journal of eScience Librarianship is now available!

The latest issue of the Journal of eScience Librarianship (JeSLIB) has been published! Volume 5, issue 1 looks at the evolution of JeSLIB in providing a variety of types of scholarship and asks the readership, among other questions, “What areas of focus would you like to see us pursue during the next four years?” The issue’s articles highlight the importance of gathering feedback and practicing assessment prior to implementing changes to established data services, investing in new data initiatives or developing librarian roles. The video articles and commentary provide insights into the future of data science and librarians professional development from an educator’s and practicing librarians points-of-view.

Table of Contents
Volume 5, Issue 1 (2016)

Charting a New Path:
The Evolution of the Journal of eScience Librarianship

Elaine R. Martin

A Librarian Out of the Library
T. Scott Plutchak

Full-Length Papers
Data Management Plan Requirements for Campus Grant Competitions:
Opportunities for Research Data Services Assessment and Outreach

Andrew M. Johnson and Shelley Knuth

Assessment of and Response to Data Needs of Clinical and Translational Science Researchers and Beyond
Hannah F. Norton, Michele R. Tennant, Cecilia Botero, and Rolando Garcia-Milian

Discovery and Reuse of Open Datasets: An Exploratory Study
Sara Mannheimer, Leila Belle Sterman, and Susan Borda

From Plan to Action:
Successful Data Management Plan Implementation in a Multidisciplinary Project

Margaret H. Burnette, Sarah C. Williams, and Heidi J. Imker

Assessing the National Library of Medicine’s Informationist Awards
Ariel Deardorff MLIS, Valerie Florance Ph.D., and Alan VanBiervliet Ph.D.

Video Articles
eScience Symposium Reflections from Jian Qin:
Finding Inspiration for Librarians in Data Science

Jian Qin

eScience Symposium Reflections from Christopher Erdmann:
Redefining the Librarian’s Role in eScience

Christopher Erdmann

The full issue is available at http://escholarship.umassmed.edu/jeslib/vol5/iss1

Are you interested in submitting to JeSLIB? Please refer to the Author Guidelines at http://escholarship.umassmed.edu/jeslib/styleguide.html 

The Editorial Team, Journal of eScience Librarianship

Follow us on Twitter @JeSLIBJournal

2017 Science Boot Camp — Save the Date!

Wed, 12/14/2016 - 12:30
Save the Date for the 2017 New England Science Boot Camp!

It may be cold outside and the holiday lights are up, but it is already time to look forward to summer time and the annual Science Boot Camp for Librarians!

This year’s Science Boot Camp will be held June 14-16, 2017 on the campus of University of Massachusetts Amherst, in Amherst, Massachusetts. Science Boot Camp is a fun and affordable 2 ½ day immersion into science topics offering opportunities for librarians and library students interested in science, health sciences, and technology to learn, meet and network in a fun, laid-back atmosphere. Now in its ninth year, the New England Science Boot Camp has been hosted on multiple New England campuses and has been attended by librarians and library students from various regions of the US and beyond—and has inspired the development of other Science Boot Camps in the West, Southeast, and Canada!

Each science session will include one scientist presenting an overview of the field and a second scientist discussing their research applications within the field.

The topics for this year’s SBC science sessions are still TBD!

For up-to-date information, visit http://guides.library.umass.edu/BootCamp2017

Please Save the Date for 2017 New England Science Boot Camp June 14-16, 2017 at the University of Massachusetts Amherst!


The New England Science Boot Camp Planning Group