UC Berkeley celebrates Love Data Week with great talks and tips!

Last week, the University Library, the Berkeley Institute for Data Science (BIDS), the Research Data Management program were delighted to host Love Data Week (LDW) 2018 at UC Berkeley. Love Data Week is a nationwide campaign designed to raise awareness about data visualization, management, sharing, and preservation. The theme of this year’s campaign was data stories to discuss how data is being used in meaningful ways to shape the world around us.

At UC Berkeley, we hosted a series of events designed to help researchers, data specialists, and librarians to better address and plan for research data needs. The events covered issues related to collecting, managing, publishing, and visualizing data. The audiences gained hands-on experience with using APIs, learned about resources that the campus provides for managing and publishing research data, and engaged in discussions around researchers’ data needs at different stages of their research process.

Participants from many campus groups (e.g., LBNL, CSS-IT) were eager to continue the stimulating conversation around data management. Check out the full program and information about the presented topics.

Photographs by Yasmin AlNoamany for the University Library and BIDS.

Eric Livingston explains the difference between Elsevier APIs.

LDW at UC Berkeley was kicked off by a walkthrough and demos about Scopus APIs (Application Programming Interface), was led by Eric Livingston of the publishing company, Elsevier. Elsevier provides a set of APIs that allow users to access the content of journals and books published by Elsevier.

In the first part of the session, Eric provided a quick introduction to APIs and an overview about Elsevier APIs. He illustrated the purposes of different APIs that Elsevier provides such as DirectScience APIs, SciVal API, Engineering Village API, Embase APIs, and Scopus APIs. As mentioned by Eric, anyone can get free access to Elsevier APIs, and the content published by Elsevier under Open Access licenses is fully available. Eric explained that Scopus APIs allow users to access curated abstracts and citation data from all scholarly journals indexed by Scopus, Elsevier’s abstract and citation database. He detailed multiple popular Scopus APIs such as Search API, Abstract Retrieval API, Citation Count API, Citation Overview API, and Serial Title API. Eric also overviewed the amount of data that Scopus database holds.

The attendees conduct live queries on Scopus APIs.

In the second half of the workshop, Eric explained how Scopus APIs work, how to get a key to Scopus APIs, and showed different authentication methods. He walked the group through live queries, showed them how to extract data from API and how to debug queries using the advanced search. He talked about the limitations of the APIs and provided tips and tricks for working with Scopus APIs.

 

Eric explains code snippets for querying Scopus APIs.

Eric left the attendances with actionable and workable code and scripts to pull and retrieve data from Scopus APIs.

The Data Stories and Visualization Panel.

On the second day, we hosted a Data Stories and Visualization Panel, featuring Claudia von Vacano (D-Lab), Garret S. Christensen (BIDS and BITSS), Orianna DeMasi (Computer Science and BIDS), and Rita Lucarelli (Department of Near Eastern Studies). The talks and discussions centered upon how data is being used in creative and compelling ways to tell stories, in addition to rewards and challenges of supporting groundbreaking research when the underlying research data is restricted.

Claudia von Vacano talks about the Online Hate Index project.

Claudia von Vacano, the Director of D-Lab, discussed the Online Hate Index (OHI), a joint initiative of the Anti-Defamation League’s (ADL) Center for Technology and Society that uses crowd-sourcing and machine learning to develop scalable detection of the growing amount of hate speech within social media. In its recently-completed initial phase, the project focused on training a model based on an unbiased dataset collected from Reddit. Claudia explained the process, from identifying the problem, defining hate speech, and establishing rules for human coding, through building, training, and deploying the machine learning model. Going forward, the project team plans to improve the accuracy of the model and extend it to include other social media platforms.

Garret S. Christensen talks about his experience with research data.

Next, Garret S. Christensen, BIDS and BITSS fellow, talked about his experience with research data. He started by providing a background about his research, then discussed the challenges he faced in collecting his research data. The main research questions that Garret investigated are: How are people responding to military deaths? Do large numbers of, or high-profile, deaths affect people’s decision to enlist in the military?

Garret shows the relation between US deaths rate and the number of applicants to the military.

Garret discussed the challenges of obtaining and working with the Department of Defense data obtained through a Freedom of Information Act request for the purpose of researching war deaths and military recruitment. Despite all the challenges that Garret faced and the time he spent on getting the data, he succeeded in putting the data together into a public repository. Now the information on deaths in the US Military from January 1, 1990 to November 11, 2010 that was obtained through Freedom of Information Act request is available on dataverse. At the end, Garret showed that how deaths and recruits have a negative relationship.

Orianna DeMasi related her experience of working on real problems with real human data to taming dragons.

Orianna DeMasi, a graduate student of Computer Science and BIDS Fellow, shared her story of working with human subjects data. The focus of Orianna’s research is on building tools to improve mental healthcare. Orianna framed her story about collecting and working with human subject data as a fairy tale story. She indicated that working with human data makes security and privacy essential. She has learned that it’s easy to get blocked “waiting for data” rather than advancing the project in parallel to collecting or accessing data. At the end, Orianna advised the attendees that “we need to keep our eyes on the big problems and data is only the start.”

Rita Lucarelli is discussing the Book of the Dead in 3D.

Rita Lucarelli, Department of Near Eastern Studies discussed the Book of the Dead in 3D project, which shows how photogrammetry can help visualization and study of different sets of data within their own physical context. According to Rita, the “Book of the Dead in 3D” project aims in particular to create a database of “annotated” models of the ancient Egyptian coffins of the Hearst Museum, which is radically changing the scholarly approach and study of these inscribed objects, at the same time posing a challenge in relation to data sharing and the publication of the artifacts. Rita indicated that metadata is growing and digital data and digitization are challenging.

It was fascinating to hear about Egyptology and how to visualize 3D ancient objects!

Daniella Lowenberg presents on Research Data Management Planning and Publishing.

We closed out LDW 2018 at UC Berkeley with a session about Research Data Management Planning and Publishing. In the session, Daniella Lowenberg (University of California Curation Center) started by discussing the reasons to manage, publish, and share research data on both practical and theoretical levels.

Daniella shares tips about publishing research data.

Daniella shared practical tips about why, where, and how to manage research data and prepare it for publishing. She discussed relevant data repositories that UC Berkeley and other entities offer. Daniela also illustrated how to make data reusable, and highlighted the importance of citing research data and how this maximizes the benefit of research.

Daniella’s live demo on using Dash for publishing research data.

At the end, Daniella presented a live demo on using Dash for publishing research data and encouraged UC Berkeley workshop participants to contact her with any question about data publishing. In a lively debate, researchers shared their experiences with Daniella about working with managing research data and highlighted what has worked and what has proved difficult.

We have received overwhelmingly positive feedback from the attendees. Attendees also expressed their interest in having similar workshops to understand the broader perspectives and skills needed to help researchers manage their data.

I would like to thank BIDS and the University Library for sponsoring the events.

Yasmin AlNoamany

 


Workshop: Publish Digital Books & Open Educational Resources with Pressbooks

Digital Publishing Workshop Series

Publish Digital Books & Open Educational Resources with Pressbooks
Tuesday, February 20th, 1:10-2:30pm
Academic Innovation Studio, Dwinelle Hall 117 (Level D)

If you’re looking to self-publish work of any length and want an easy-to-use tool that offers a high degree of customization, allows flexibility with publishing formats (EPUB, MOBI, PDF), and provides web-hosting options, Pressbooks may be great for you. Pressbooks is often the tool of choice for academics creating digital books, open textbooks, and open educational resources, since you can license your materials for reuse however you desire. Learn why and how to use Pressbooks for publishing your original books or course materials. You’ll leave the workshop with a project already under way! Register at bit.ly/dp-berk

Upcoming Workshops in this Series 2017-2018:

  • Scalar for Multimedia Digital Projects
  • Copyright and Fair Use for Digital Projects
  • Omeka for Digital Collections and Exhibits
  • By Design: Graphics & Images Basics
  • The Long Haul: Best Practices for Making Your Digital Project Last

Please see bit.ly/dp-berk for details.


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Great talks and tips in Love Your Data Week 2017

This week, the University Library and the Research Data Management program were delighted to participate in the Love Your Data (LYD) Week campaign by hosting a series of workshops designed to help researchers, data specialists, and librarians to better address and plan for research data needs. The workshops covered issues related to managing, securing, publishing, and licensing data. Participants from many campus groups (e.g., LBNL, CSS-IT) were eager to continue the stimulating conversation around data management. Check out the full program and information about the presented topics.

Photographs by Yasmin AlNoamany for the University Library.

The Securing Research Data Panel.

The first day of LYD week at UC Berkeley was kicked off by a discussion panel about Securing Research Data, featuring
Jon Stiles (D-Lab, Federal Statistical RDC), Jesse Rothstein (Public Policy and Economics, IRLE), Carl Mason (Demography). The discussion centered upon the rewards and challenges of supporting groundbreaking research when the underlying research data is sensitive or restricted. In a lively debate, various social science researchers detailed their experiences working with sensitive research data and highlighted what has worked and what has proved difficult.

Chris Hoffman illustrated Securing Research Data – A campus-wide project.

At the end, Chris Hoffman, the Program Director of the Research Data Management program, described a campus-wide project about Securing Research Data. Hoffman said the goals of the project are to improve guidance for researchers, benchmark other institutions’ services, and assess the demand and make recommendations to campus. Hoffman asked the attendees for their input about the services that the campus provides.

The attendees of Securing Research Data workshop ask questions about data protection.
Rick Jaffe and Anna Sackmann in the RDM Tools and Tips: Box and Drive workshop.

On the second day, we hosted a workshop about the best practices for using Box and bDrive to manage documents, files and other digital assets by Rick Jaffe (Research IT) and Anna Sackmann (UC Berkeley Library). The workshop covered multiple issues about using Box and bDrive such as the key characteristics, and personal and collaborative use features and tools (including control permissions, special purpose accounts, pushing and retrieving files, and more). The workshop also covered the difference between the commercial and campus (enterprise) versions of Box and Drive. Check out the RDM Tools and Tips: Box and Drive presentation.

Anna and Rick ask attendees to do a group activity to get them talking about their workflow.

We closed out LYD Week 2017 at UC Berkeley with a workshop about Research Data Publishing and Licensing 101. In the workshop, Anna Sackmann and Rachael Samberg (UC Berkeley’s Scholarly Communication Officer) shared practical tips about why, where, and how to publish and license your research data. (You can also read Samberg & Sackmann’s related blog post about research data publishing and licensing.)

Anna Sackmann talks about publishing research data at UC Berkeley.

In the first part of the workshop, Anna Sackmann talked about reasons to publish and share research data on both practical and theoretical levels. She discussed relevant data repositories that UC Berkeley and other entities offer, and provided criteria for selecting a repository. Check out Anna Sackmann’s presentation about Data Publishing.

Anna Sackmann differentiates between different repositories in UC Berkeley.
Rachael Samberg, UC Berkeley’s Scholarly Communication Officer.

During the second part of the presentation, Rachael Samberg illustrated the importance of licensing data for reuse and how the agreements researchers enter into and copyright affects licensing rights and choices. She also distinguished between data attribution and licensing. Samberg mentioned that data licensing helps resolve ambiguity about permissions to use data sets and incentivizes others to reuse and cite data. At the end, Samberg explained how people can license their data and advised UC Berkeley workshop participants to contact her with any questions about data licensing.

Rachael Samberg explains the difference between attribution and license.
Rachael Samberg explains the difference between attribution and license.

Check out the slides from Rachael Samberg’s presentation about data licensing below.

 

The workshops received positive feedback from the attendees. Attendees also expressed their interest in having similar workshops to understand the broader perspectives and skills needed to help researchers manage their data.


Yasmin AlNoamany

Special thanks to Rachael Samberg for editing this post.


Dissertations and Open Access

http://upload.wikimedia.org/wikipedia/commons/thumb/f/f3/Open_Access_PLoS.svg/500px-Open_Access_PLoS.svg.png

Your dissertation is complete. You have successfully defended it. Your advisors have signed off on it. Now, as part of your “obligation to make your research available to other scholars” (Graduate Division: Dissertation Writing and Filing) you need to submit it. Traditionally, it has been the responsibility of the University Library to make the work of its scholars available to the public. In the old days, this meant that the Library got a copy which they then cataloged and shelved in the dusty stacks. Anyone who wanted to read your major opus was welcome to come to campus, get a stack pass, page it at the circulation desk, then read the hard copy. Now, with dissertations filed electronically, the Library can make a digital version of your dissertation freely available for the whole world to read.

When you file your dissertation you must make a decision about whether to opt for Immediate Release (making your dissertation open access, and freely available to anyone, anywhere with access to the internet) or whether to Embargo it for up to two years.

A new guide on Dissertations and Open Access at UC Berkeley may help you answer the Immediate Release vs. Embargo question.

Opting for immediate release allows for greater dissemination of your work and has the advantage of allowing you to establish yourself as a scholar in your discipline. Some argue that this can protect against plagiarism by ensuring that others will discover your research prior to its publication as a book. By making it widely available, they contend, you are “staking your claim” on the research topic and its findings.

Others, however, most notably the American Historical Association (AHA), advise against making a dissertation immediately available because they believe that “university presses are reluctant to offer a publishing contract to newly minted PhDs whose dissertations have been freely available via online sources.” Some major university presses have weighed in on this topic, publicly declaring that they do not consider open access dissertations as “prior publications.” But there is no consensus. Opinion and practice vary from discipline to discipline.

In the end, your decision will be a personal one that you need to make for yourself in consultation with your advisor; see also the Grad Division guidelines.

 

Margaret Phillips, Education-Psychology Library
contact me at mphillip [at] library.berkeley.edu


Publishing opportunity: Call for reviewers

I am passing on this notification I received:

CALL FOR REVIEWERS

The Canadian Historical Review is currently seeking book reviewers.

The Canadian Historical Review uses a bilingual online peer review system called PRESTO where authors, peer reviewers, and book reviewers can submit articles, evaluations, and book reviews online. PRESTO streamlines the publication process providing an easy-to-use and effective system for authors, reviewers, and editors alike.

Interested reviewers should visit http://chr.newpresto.utpjournals.com/jmanager/users/login to register. Please include your name, status, affiliation and fields of research when entering your information.

For detailed information on writing a book review for Canadian Historical Review, please consult the Authors/Reviews section at www.utpjournals.com/chr.