As an instructor, are you concerned that your students have a ‘dismaying’ inability to tell fake news from real? If so, you are invited to join a UC Berkeley faculty conversation on March 1st about how to help students navigate the rapidly changing online information landscape, and the proliferation of fake news and “alternative facts.” Faculty from Media Studies, College Writing, Integrative Biology, Political Economy and Journalism will lead this conversation on media literacy and the evaluation of sources for the classroom.
- March 1, 12:00 p.m. – 1:30 p.m. in the Academic Innovation Studio (117 Dwinelle)
- Panel: Beverly Crawford (Political Science/Economy), Leslea Hlusko (Integrative Biology), Mike Larkin (College Writing), Jean Retzinger (Media Studies), and Edward Wasserman (Journalism). Moderated by Cody Hennesy (Doe Library).
You may also be interested in sharing the new library guide to Fake News, which can help students understand and detect fake news. Subject librarians are also available to help design research assignments, to visit the classroom and discuss the evaluation of resources, and you can always request a library workshop for your class.
Agents of Change documents university student activism in the late 1960s that worked toward a variety of goals, including the establishment of black and ethnic studies programs and building resistance to the war in Vietnam. The filmmakers envision this project as part of a social movement, rather than simply a film — a stance demonstrated in the way that the film suggests a continuity of struggle from past organizing efforts to more current movements in favor of justice both on and off campus.
Wednesday, March 1 from 7 to 9 pm
405 Moffitt Undergraduate Library
Free; open to UCB students only (UCB student ID required).
Movies @ Moffitt happens on the first Wednesday of each month of the semester.
You can find these titles and other recent acquisitions on the Art History and Classics Library’s New Book Shelf.
— Yasmina Anwar (@yasmina_anwar) February 14, 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 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.
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.
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.
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.)
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.
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.
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.
Special thanks to Rachael Samberg for editing this post.
Undergrads, get expert help with that humanities or social sciences research project. Make an appointment for a 30-minute session with our library research specialists. We can help you narrow your topic, find scholarly sources, and manage your citations, among other things. Make your appointment online at lib.berkeley.edu/help/
Appointments are from 11am-5pm, Tuesday, February 21 – Friday, April 28. Meet your librarian at the Reference Desk, 2nd floor, Doe Library
Most of the Cal libraries will be closed on Monday, February 20 for the Presidents’ Day Holiday.
How do you spend your Valentine’s Day? Here at the UC Berkeley Library, we spend it with those we care most about!
Want to learn about tools to help you be more effective with research, writing, and citation management in the sciences? Join us for our first ever Research Tools Fair on Friday, February 17!
The Fair will consist of brief product demos in the morning followed by drop-in Q&A with vendors in the afternoon. The Fair is open to all but geared toward faculty and students in the physical sciences & engineering. Please drop by for any part of the day that interests you. Coffee & soft drinks will be provided.
Research Tools Fair
Date: February 17, 2017
Location: Engineering Library Training Room (110MD Bechtel)
You can find these titles and other recent acquisitions on the Art History and Classics Library’s New Book Shelf.
Please join Science Data & Engineering Librarian Anna Sackmann and Scholarly Communication Officer Rachael Samberg for practical tips about why, where, and how to publish and license your research data.
Why Should We Care About Publishing Research Data?
Sharing research data promotes transparency, reproducibility, and progress. Indeed, it can spur new discoveries on a daily basis. It’s not atypical for geneticists, for example, to sequence by day and post research results the same evening—allowing others to begin using their datasets in nearly real time (see, for example, Pisani & AbouZahr’s paper about this data publishing cycle). The datasets researchers share can, in turn, inform business or regulatory policymaking, legislation, government or social services, and much more.
Publishing your research data can also increase the impact of your research, and with it, your scholarly profile. Depositing datasets in a repository makes them both visible and citable. You can include them in your CV and grant application biosketches. Conversely, scholars around the world can begin working with your data and crediting you. As a result, sharing detailed research data can be associated with increased citation rates (check out this Piwowar et al. study, among others).
Publishing your data may also be required. Federal funders (e.g. National Institutes of Health), grant agencies (e.g. Bill & Melinda Gates Foundation), and journal publishers (e.g. PLoS and other journals listed in this Open Access Directory) increasingly require that datasets be made publicly available to readers—often immediately upon associated article publication.
How Do We Publish Data?
Merely uploading your dataset to a personal or departmental website won’t achieve these aims of promoting knowledge and progress. Datasets should be able to link seamlessly to any research articles they support. Their metadata should be compatible with bibliographic management and citation systems (e.g. CrossRef or Ref Works), and be formatted for crawling by abstracting and indexing services. After all, you want to be able to find other people’s datasets, manage them in a your own reference manager, and cite them as appropriate. So, you’d want your own dataset to be positioned for the same discoverability and ease of use.
How can you achieve all this? It sounds daunting, but it’s actually pretty straightforward and simple. You’ll just want to select a data publishing tool or service that is built around both preservation and discoverability: It should offer you a stable location or DOI (which will provide a persistent link to your data’s location), help you create sufficient metadata to facilitate transparency and reproducibility, and optimize the metadata for search engines.
For instance, UC’s Dash tool is a terrific and easy-to-use solution that preserves and publishes your datasets. At the Feb. 16 workshop we’re hosting, you can learn more about how to prepare, describe, and upload your data for deposit and publishing with Dash and other tools.
We also recommend that, if your chosen publishing tool enables it, you should include your ORCID (a persistent digital identifier) with your datasets just like with all your other research. This way, your research and scholarly output will be collocated in one place, and it will become easier for others to discover and credit your work.
What Does it Mean to License Your Data For Reuse?
Uploading a dataset—with good metadata, of course!—to a repository is not the end of the road for shepherding one’s research. We must also consider what we are permitting other researchers to do with our data. And, what rights do we, ourselves, have to grant such permissions—particularly if we got the data from someone else, or the datasets were licensed to us for a particular use?
To better understand these issues, we first have to distinguish between attribution and licensing. Citing datasets is an essential scholarly practice. But the issue of someone citing your data is separate from the question of whether it’s permissible for them to use the data in the first place. That is, what license for reuse have you applied to the dataset?
To try to streamline ownership and copyright questions, and promote data reuse, often data repositories will simply apply a particular “Creative Commons” license or public domain designation to all deposited datasets. For instance:
- Dryad and BioMed Central repositories apply a Creative Commons Zero (CC0) designation to deposited data—meaning that, by depositing in those repositories, you are not reserving any copyright that you might have. Someone using your dataset still should cite the dataset to comply with scholarly norms, but you cannot mandate that they attribute you and cannot pursue copyright claims against them.
- UC Dash applies a Creative Commons Attribution (CC-BY) license to datasets deposited by UC researchers. This means that someone using your Dash-deposited dataset not only should cite it to adhere to scholarly norms, but also is required to attribute you as the author.
What’s the Right License or Designation for Your Data?
Well, sometimes you don’t have a say in the matter, as your funding agreement or the repository you choose dictates the license applied. Otherwise, it’s worth considering what your goals are for sharing the data to begin with, and selecting a designation or license that both meets your needs and fits within whatever ownership and use rights you have over the data. Your Scholarly Communication Officer or librarian can help you with this.
Bear in mind that ambiguity surrounding the ability to reuse data inhibits the pace of research. So, try to identify clearly for potential users what rights are being granted in the dataset you publish.
How To Learn More if You’re a UC Berkeley Researcher
Come to the workshop, of course! For data publishing questions, contact the Research Data Management team at email@example.com. With questions about data ownership, copyright, or licensing, contact the Library’s Scholarly Communication Officer at firstname.lastname@example.org. You can also check out the Research Data Management website for more on preserving and disseminating your data. In the meantime, we hope to see you at the workshop next week!
by Rachael Samberg in Scholarly Communications on February 9th, 2017