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Science & Engineering Libraries
Looking for an easy way to manage your research? The Library has you covered. We now offer premium access to three products — Overleaf, Mendeley, & ShareLaTeX — that make collaborative writing and citing in the engineering and physical sciences much easier. Sign up and learn more.
- Overleaf is an online collaborative LaTeX editor with integrated real-time preview. It offers templates for arXiv and many journal publishers to help get you started, and it can also be linked to other services such as Mendeley, Git, and Plot.ly. A pro account (avaialable for free when you sign up with your Berkeley email) will provide up to 10GB storage space, 500 files per project, full project history, and the ability to save to Dropbox.
- ShareLaTeX is also an online collaborative LaTeX editor. It too offers templates for arXiv and many journal publishers. With a premium account, you will get unlimited collaborators, full project history, and the ability to sync with Dropbox and Github.
- Mendeley is a reference manager and academic social network that allows you to organize your references across multiple devices, automatically generate bibliographies, and share references with collaborators online. Your institutional account will provide up to 5GB personal library space, 20GB shared library space, 25 collaborators in private groups, and unlimited private groups.
Have you ever wished you could look up something in a scientific book when you are studying at home? If so, CRCnetBASE is the answer!
This online collection of books includes the following topics:
- environmental science
- food science
- and more!
You can search across all books, browse books by subject, and download the pdfs of chapters. All the books can be found searching OskiCat as well.
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)
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 firstname.lastname@example.org. With questions about data ownership, copyright, or licensing, contact the Library’s Scholarly Communication Officer at email@example.com. 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
Trip is a clinical search engine designed to find high-quality research evidence to support clinical practice and care.
Search across research evidence, images, videos, patient information leaflets, educational courses and news.
The Royal Society of Chemistry (RSC) and the Publications Division of the American Chemical Society (ACS) recently signed the ORCID Open Letter. For published articles the two societies will now require ORCIDs (Open Researcher and Contributor IDs) for corresponding authors and will automatically collect and display the ORCIDs of all submitting authors. The RSC announcement states that coordination between the publishers, Crossref and ORCID will ensure that published works are properly attributed.
In adopting the ORCID system RSC and ACS join a number of other publishers and journals including eLife, the European Molecular Biology Organization (EMBO), the American Geophysical Union (AGU), Institute of Electrical and Electronics Engineers (IEEE), Science journals, Wiley, and Wellcome Open Research.
Big Data to Knowledge
Open Data Science Symposium: How Open Data and Open Science are Transforming Biomedical Research; Details at http://event.capconcorp.com/wp/bd2k-odss/
The Open Data Science Symposium is open to the public and will be available through a webcast.
Big Data is an underutilized resource for innovation and discovery in biomedical research and the NIH is committed to unleashing its full potential by making it an open and easily accessible resource. The Open Data Science Symposium will feature discussions with the leaders in big data, open science, and biomedical research while also showcasing the finalists of the Open Data Science Prize, a worldwide competition to harness the innovative power of open data.
Please Register for the Open Data Science Symposium by November 18, 2016.
Registration is free.
Who Should Attend:
Join us for this meeting if you are interested in:
- Learning how NIH and other agencies are utilizing new models and funding approaches to support open innovation and open science
- Exploring the challenges, opportunities, and implications of a changing biomedical research landscape in which openness is the default across the globe
- Seeking to use open data in your own research and looking for inspiration from international teams who have developed award-winning prototypes
- Watching live demos of all six Open Science Prize semifinalists, and participating in the awards process through casting your vote for your favorite innovation
- Dialogue between current NIH Director, Dr. Francis Collins, and former NIH and former NCI Director, Dr. Harold Varmus, on open science at the National Institutes of Health
- Live demonstrations of six award-winning prototypes developed by international teams competing for the Open Science Prize.
- Panel discussion on new models for advancing data sharing capability through innovative infrastructure and initiatives with perspectives from leading international organizations such as ELIXIR, Wellcome Trust, and Global Alliance for Genomics and Health.
- Keynote by John Wilbanks, Chief Commons Officer at Sage Bionetworks, who has been named by Seed Magazine as one of the “revolutionary minds” and featured in Scientific American for his visionary thinking.
This symposium is funded through the NIH Big Data to Knowledge Initiative, which was launched in December 2013 as a trans-NIH program with funding from all 27 Institutes and Centers as well as the NIH Common Fund.
The Open Science Prize is made possible through a collaboration between NIH and the Wellcome Trust. The Howard Hughes Medical institute is also contributing funds for this effort.
The Elsevier-Reaxys ChemSearch Challenge is a chemistry search competition. A new challenge consisting of four or five questions will be posted every week for 8 consecutive weeks, and players compete on the speed with which they can submit correct answers.
Players can compete as individuals or groups, and a $200 donation will be made on behalf of each week’s winner to their choice of Doctors Without Borders, World Wildlife Fund, Natural Resources Defense Council, Partners in Health, or Oxfam International. In order to compete, an account is required.
The first challenge was posted on October 17, and subsequent challenges will be posted every Monday at 12 pm GMT.
For more information, please see:
The National Technical Reports Library (NTRL) has discontinued its Digital-on-Demand service. Requests for digitization will no longer be filled after October 1, 2016.
NTRL indexes over 3 million U.S. government agency reports with more than 800,000 reports available as full-text PDFs. Questions about pending unfulfilled digitization requests can be directed to NTRLHelpDesk[at]ntis[dot]gov.