Description

We can help you with all aspects of Data Management & Sharing - from creating Data Management & Sharing Plans, to managing your data, images, code, and files, to using reproducible methods, to sharing your data in the UR Research Repository, and to using University tools. 

Information about this Service

How Can the Library Help?

  • Help you meet funder and journal requirements (e.g., NIH, NSF, NEH, etc.).  

  • Provide feedback and review your Data Management and Sharing Plan (DMSP).

  • Give you templates and standard language to include in your plan.

  • Offer training on all parts of the data management and sharing lifecycle. 

  • Advise on data, image, code, and file management, and organization.

  • Assist you with creating proper documentation, such as readmes, data dictionaries, and file naming conventions.  

  • Advise on reproducibility best practices and statistical methods. 

  • Offer training and advice on creating visualizations. 

  • Offer guidance with using APIs.  

  • Support you with creating your Scholarly Identity (e.g. ORCID, Persistent IDs) 

  • Help you prepare and curate your data for the right data repository.

  • Support you in depositing data into the UR Research Repository (URRR)

  • Assist you in using University tools like LabArchives, OSF, the DMPTool, protocols.ioICPSR, and other tools.

  • Provide consultations and training to individuals, organizations, departments, and classes.

  • Offer live public webinars and recorded webinar videos

Library Services

Chat

DMSP Review

Dataset Curation 

Consultation

Training

Receive answers to questions, recommended resources, and referrals to appropriate professionals. 

Receive feedback on a draft of a DMSP for any funder.

Receive assistance on preparing your data to be shared.

Receive personalized one-on-one assistance via zoom or in-person on any of the abovementioned areas. Small groups can also use this service.

Receive instruction for your research group, organization, or class.

Contact Data Services to request these services. You will receive a response within a few business days.  

     

    UR Research Repository (URRR)

    The UR Research Repository (URRR) offers a place for faculty, researchers, students, staff, and UR community members to deposit their research outputs. URRR allows you to:

    • Share your data, papers, presentations, dissertations, and other research outputs

    • Make your work easily accessible to the global research community

    • Meet publisher and funder requirements (such as the new NIH Data Management and Sharing Policy)

    • Reserve a DOI for your research output

    • Connect your data and research outputs to your publications and ORCID

    • Benefit from the UR Libraries’ data curation process

    Every UR community member will be allotted 10 GB of initial storage and data submissions will also undergo a light data curation process by the UR libraries, helping ensure your data meets funder and publisher standards. If you need more than 10 GB, please contact us and we may be able to give you more storage. We do not accept submissions that require Data Use Agreements (DUAs) and we recommend you use ICPSR in this circumstance. 

    Visit rochester.figshare.com to get started or contact our team of data librarians to get personalized guidance.  

     

    Library Resources

    • Data Services - Contact us to receive answers to questions, to submit a Data Management and Sharing Plan (DMSP) or Dataset for review, or to request a consultation or training session. 

    • General DMS Resource Guide – Offers detailed advice on how to create Data Management and Sharing Plans (DMSPs) for all disciplines, and how to manage, organize, document, store, and share your data and files. It also has resources on various data and digital humanities tools, as well as resources that will help you choose a data repository. 

    • NIH-Specific DMS Resource Guide – Answers common questions related to the NIH DMS Policy, has advice on how to create a DMSP for the NIH, contact information, FAQ, and more. 

    • University Created Templates for NIH – Templates created specifically for the UR community to assist with creating DMSPs for the NIH.  

    • Data and Statistics Resource Guide – Offers detailed advice on where to find open and freely available datasets for all disciplines. 

    • Data Set Grant and Purchase Programs – Learn more about our programs which can assist you in purchasing data for your research. 

    • ORCID – Sign up for ORCID, a unique, persistent identifier, which will ensure you receive credit for the work you do. There is also an integration available which connects your ORCID to the AS&E Faculty Reporting System. 

     

    Library Tools and Software

    • LabArchives - An electronic laboratory notebook which can help you manage and organize your research. Visit our landing page to learn more about it and click “Sign in through your institution” on the LabArchives website to receive institutional access. 

    • OSF - A free and open sourceopen-source project management tool that supports researchers throughout their entire project lifecycle. It has three main components: OSF Projects, OSF Registries, and OSF Preprints. 

    • DMPTool – Access templates and write your data management and sharing plan directly in the tool. Use your University of Rochester email to receive institutional access. 

    • protocols.io – A secure platform to share your methods and protocols. Click “Continue with SSO” and then use your University of Rochester email to receive institutional access. 

    • ICPSR – An Inter-university Consortium for Political and Social Research which maintains a data archive of more than 250,000 files of research in the social and behavioral sciences. Use your UR email to get institutional access to the heavily curated datasets or to share your own. ICPSR accepts data with Data Use Agreements (DUAs). 

     

    University of Rochester Collaborators 

    • Data De-Identification Service - The Office of the Vice President for Research in conjunction with the Clinical & Translational Science Institute (CTSI) offers a data de-identification service for the University research community. This service helps with the removal or masking of elements in research datasets that contain Protected Health Information (PHI) prior to publicly sharing or publishing the data. This service does come with a cost.  

    • Office of Research IT - The Office of Research IT is here to bridge the gaps that may exist between researchers and the technology that enables research. Research IT partners researchers and IT Professionals to provide the best possible collaborations to assist research. They can consult to learn about your research, discover your technology needs, and put you in contact with the appropriate services, resources, and professionals to accelerate your research. 

    • Center for Integrated Research Computing (CIRC) - The Center for Integrated Research Computing (CIRC) at the University of Rochester provides researchers across the University with hardware, software, training, and support necessary to utilize computational and data analytics technology in research activities in all areas of academic scholarship. This service does come with a cost.  

    • The Center for Advanced Research Technologies (CART) - CART is a collection of core facilities within URMC that share resources and expertise with our 3,000+ researchers and 500+ labs, and with principal investigators both inside and outside of the University of Rochester Medical Center. In particular, the Genomics Research Center provides consultation, technical expertise, and data analytical support to principal investigators performing cutting-edge, high-throughput sequencing and screening experimentation.   

    • Office of Research and Project Administration (ORPA) - ORPA provides support to research when it comes to obtaining sponsored research funds and managing sponsored program activity. The Integrated Online Research Administration (IORA) can be used to help researchers on their grant journey. This includes assisting with Data Use Agreements (DUA).  

    • Research Data Security Classifications - From the Office of the Provost, this document has definitions and reference processes for handling data categorized by the University’s three data security classifications: high risk, moderate risk, and low risk. 

     

    DMSPs for the NIH

    The NIH Data Management and Sharing (DMS) Policy is a set of requirements and guidelines related to the management and sharing of research data generated by work funded wholly or partially by the National Institutes of Health (NIH). This policy applies to all proposals received after January 25th, 2023 that result in the generation of scientific data

    A Data Management and Sharing Plan (DMSP) is a two-page document included in applicable NIH proposals that prospectively outlines how a research team intends to manage, preserve, and share the scientific data associated with the proposed work. 

    DMSP templates created by the NIH may prove useful in creating your own DMSP. We also have university-specific templates with boiler-plate language connected to University of Rochester policies and tools (such as the UR Research Repository) that can help you create your own DMSP. 

    DMSPs for the NIH should include 6 elements

    • Data Types 

    • Related Tools, Software and/or Code 

    • Data Standards 

    • Data Preservation, Access, and Associated Timelines 

    • Data Sharing Agreements, Licenses, and Other Use Limitations 

    • Oversight of Data Management 

    According to the DMS Policy, scientific data needs to be shared by the earlier of two timepoints: The time of an associated publication OR the end of the performance period (unless the grant enters into a no-cost extension). 

    Not all data needs to be shared (for example, laboratory notebooks, preliminary analyses, completed case forms, etc., do not need to be shared). Only scientific data which includes any data needed to validate and replicate research findings needs to be shared. 

    It is also understood that some data cannot be shared openly or even at all, due to certain ethical, legal, and social issues (some examples include, but are not limited to, existing consent prohibits sharing, privacy or safety of research participants would be compromised, explicit laws, etc.). However, these decisions need to be explained in the DMSP. 

    Contact information

     

    Contact Data Services if you want to submit a Data Management and Sharing Plan (DMSP) or dataset for review, ask a question, or request a consultation or training.