Year: 2024

Take a mental note. What’s your internal filing system? 

When it comes to data organization, consider how your brain works. Do you recall based on a timeline (e.g. in 2022, I was working on ___ research)? Maybe you categorize by institution or project? Or do you prefer to file memories, work, to-do’s by topic? Understanding your instinctual method for organization can help you to manage your research in a manner that’s optimal for you.

Thinking about this ahead of time and using best practices will ensure you remain consistent and waste less time finding data later, so you have more time to do work! You may want to organize your data according to some of these directory schemes:

Learn more about simple things you can do to improve your file management and organization.

Citing data not only provides proper attribution and credit, it also demonstrates the impact of your work and establishes research data as an important contribution to the scholarly record. Proper citation of data sources has both immediate and long-term benefits to users and producers of data, including:

• increased transparency and reproducibility
• makes it easier to find datasets
• supports long-term persistence of datasets
• encourages the reuse of data for new research questions

How to cite data

Citing data is very similar to citing publications; there are many formats to use, but we suggest including the following important information:

• creator(s) or contributor(s)
• date of publication
• title of dataset
• publisher
• identifier (e.g. Handle, ARK, DOI) or URL of source
• version, when appropriate
• date accessed, when appropriate

Example:

Barclay, Janet Rice (2013) Stream Discharge from Harford, NY. Cornell University eCommons Repository. http://hdl.handle.net/1813/34425

The order of the information is not as important as having sufficient information to find the data set(s) used. Learn more and see examples and guidelines.

October 8, Mann Library CALS Zone

In honor of Ada Lovelace Day, an international celebration of the contributions of self-identifying women in STEM, Mann Library is hosting a Wikipedia edit-a-thon, which will honor and highlight under-recognized women in science, technology, engineering, mathematics (STEM), and related fields.  You can pitch in for just half an hour or the whole day, by writing an entry, adding a footnote, translating text, uploading images, or by looking up information for others.

We want to make Wikipedia a more inclusive space. While Wikipedia is the fifth most popular website in the world, reaching up to 32 million views a day, less than 18% of its English-language biographies are about women. No prior Wikipedia editing experience is necessary! Editing assistance will be provided as needed throughout the event for Wikipedia newcomers. Join the Wikipedia Dashboard to have your editing added to the event count. Learn more.

We offer consultations, workshops, and training year-round to help you gain data skills when and where you need them. For a broad introduction, consider exploring our guides to data management best practices for every stage of the research data life cyle; for a deeper dive check out the range of workshops, customized training, and free online content available to Cornell researchers.

Workshop Highlight: Open Scholarship Fall 2024

Open Scholarship includes open access, open data, open educational resources, and all other forms of openness in the scholarly and research environment, and can include practices like data sharing, preprints, open lab notebooks, and OA publishing alongside an emphasis on transparency, collaboration, and public access to research. This series will provide an overview of several tools and strategies for moving towards more open scholarship practices. 

Thursdays this Fall at 9:30am. For all disciplines; attend all or a few. 

Learn more and register.

More workshops and training

There are many opportunities to learn about data-related topics on campus and beyond, including:

• Training and workshops from campus partners
• Customized training
• Online training

Our range of policy, disciplinary and information technology experts can provide assistance and instruction on a variety of data topics, tools, and software. Learn more or contact us at data-help@cornell.edu to let us help you find the training you need!

The National Institutes of Health (NIH) has issued a Request for Information on the NIH Draft Public Access Policy and two supplemental draft guidance documents regarding government use license and rights and costs for publications. To ensure consideration, comments must be submitted in writing by August 19, 2024.

Are you curious about using the cloud for research? The NIH Cloud Lab is a new 90-day program that enables NIH-affiliated* researchers to explore the cloud at no cost in a secure, NIH-approved environment. Participants can sign up at any time and receive an account with $500 of Amazon Web Services, Google Cloud, or Microsoft Azure credits, access to curated bioinformatics tutorials, and support from NIH technical and bioinformatics experts. The program is open to all NIH-affiliated researchers and all NIH staff.

Browse the Cloud Lab homepage to learn more and reach out to cloudlab@nih.gov if you have any questions.

*NIH-affiliated includes those at research institutions that are eligible for NIH funding but who may not (or not yet) have an active award.

The Cornell Center for Advanced Computing (CAC) encourages Cornell researchers to apply for the Amazon Science Spring 2024 call for proposals.

“Awardees will receive unrestricted funds, from $50,000 to $100,000 ($80,000 on average) that can be used for any purpose, including leveraging CAC consulting services to accelerate research discoveries,” says Rich Knepper, CAC director. “Up to $40,000 in AWS cloud computing credits and training may be requested as well.” Submission period ends May 7; learn more.

Collaborating with others on your research? Cornell has tools to help.

• The Open Science Framework allows you to build and develop projects, providing a centralized workspace while leveraging different tools for different parts of the project. 
• LabArchives is an electronic lab notebook that allows you to organize, manage and share your research.
• GitHub is a software development platform that helps you share, manage, track and control changes to your code.

Learn more about these and other tools available to you at Cornell. Contact us at data-help@cornell.edu for a free consultation.

Love Data Week 2024 will include a variety of workshops and networking opportunities focused on data access, analysis, discovery, management, sharing, and preservation. CDS Consultants will also be tabling at different campus locations throughout the week, distributing data swag and information as we go. See the schedule. #LoveData24

We offer consultations, workshops, and training year-round to help you meet your resolution to manage your data better in 2024. For a broad introduction, consider participating in the Data & Donuts series; for a deeper dive check out the range of workshops, customized training, and free online content available to Cornell researchers.

Workshop highlight Spring 2024: Data & Donuts

Become a better data steward with Cornell Data Services! Join us for a weekly informal discussion series to work our way through the data lifecycle over donuts. From the planning stages of a research project, through closeout and data archiving, we will discuss best practices and point to resources on campus and beyond. There will be time for open conversation, questions, skill-building, and troubleshooting. Learn more and register.

More workshops and training

There are many more opportunities to learn about data-related topics on campus and beyond, including:

Training and workshops from campus partners
Customized training
Online training

Our range of policy, disciplinary and information technology experts can provide assistance and instruction on a variety of data topics, tools, and software. Learn more or contact us at data-help@cornell.edu to let us help you find the training you need!