ASU library experts will work with you to:
- Identify tools for organizing, describing, and sharing your research data
- Connect with other university service providers
ASU Research Data Management Office
Knowledge Enterprise and the ASU Library are working together to provide research data management consultancy services and support for Arizona State University research projects. Together we can assist with the preparation of data management plans, undertake technology needs assessments for your project, provide subsidized computing resources and data storage for your project. Visit ASU Research Data Management Services or contact the Research Data Management Office to get started.
Planning and feedback
The ASU Library provides custom guidance information and support for your research data management and sharing plan through the DMPTool for data management plan writing. Please review our guide on getting started with the DMPTool and use the tool to fill out the basic elements of your plan.
Once you have completed your plan, please use the DMPTool request feedback option. The data management team will receive your plan and provide commentary within 48 business hours. If you have any additional questions please contact us or check out our Data Management Guide for more information including tutorials on best practices including file management, documentation, publication, and preservation strategies; advice on identifying and selecting disciplinary based research data repositories; and ASU Dataverse our institutional research data repository for sharing and preserving research data.
Active research data management solutions
Where can I put my data while working on my project?
ASU now has an enterprise license for LabArchives a commercial-grade research management platform. It supports documenting methods, uploading images, and connecting to project storage. It also provides Intellectual property protection, audit functions, and meets the data management expectations of federal agencies. More information on the product can be found at Knowledge Enterprise's Research Data Management Electronic Notebooks.
You can also manage your research and share your supplementary materials and data with ASU OSF, a free scholarly web tool that enhances transparency fosters collaboration, and increases the visibility of research at the institutional level at osf.asu.edu. Sign in with ASU authentication and get started today or contact ASU Library Research and Publication Services to learn more about ASU OSF.
For more information see our guide on sharing and storing research data.
Publishing and preserving research data
Publishing your research data faciliates the final steps in the research process and the beginning for others by providing resources for future discovery and use by yourself and others. Publishing in a research data repository provides long-term preservation and curation services beyond standard file storage and back up such as data integrity checks, format migrations, and the creation of descriptive records. Proper preservation is critical for data that cannot easily be recreated or produced.
ASU DATAVERSE Research Data Repository Service
Share, publish, and archive your data. Find and cite data across all research fields.
Coordinating with Knowledge Enterprise Research Data Management, ASU Library presents a new interdisciplinary research data repository powered by Dataverse an open-source research data repository software that allows researchers to share, preserve, cite, explore, and analyze research data.
ASU Library's research data repository (powered by Harvard’s Dataverse software) helps ASU affiliated researchers share, store, preserve, cite, explore, and make research data accessible and discoverable. Dataverse is a dedicated research data management service platform that serves in the publication and reuse phase of the research data lifecycle and works in concert with the ASU Digital Repository ecosystem to present a more complete picture of ASU’s scholarly activities.
- Makes data available to others and allows for the replication of others' work more easily.
- Link your research datasets and supplementary materials to your articles and institutional repository submissions.
- Write Dataverse into your proposal data management plan with the DMPTool. (Use 'institutional sign in' and select Arizona State University)
Who can deposit data to ASU Dataverse? Submission of datasets is limited to ASU affiliated projects and people with active ASURITE accounts.
What do we consider research data? Quantitative in the form of spatial and tabular files, remoting sensing output. Qualitative information such as documentation, interviews, and survey results. Supplementary information including photos, digitized physical samples, and recordings.
Where should I publish my data? There are many data repositories currently serving the research community and it is worth checking with your funding source to see if they have a preference for where the data are published and archived. You can identify a suitable disciplinary repository via the Registry of Research Repositories, which hosts a searchable database of data repositories. Archaeological investigations should contact The Digital Archaeological Record (tDAR), an international archaeological digital archive and repository by the Center for Digital Antiquity located at ASU. Data sets from The Central Arizona–Phoenix Long-Term Ecological Research (CAP LTER) project are published and shared in the CAP LTER Data repository.
If there is no specific requirement, make your datasets accessible and discoverable in ASU’s Dataverse.
Researchers, journals, data authors, publishers, data distributors, and affiliated institutions all receive academic credit and web visibility through our research data repository. See the ASU Dataverse guide for more information.
Disciplinary Research Data Repositories
In many cases you will need to work with a subject specific or disciplinary based repostiory due to funder, or publisher mandates. It's also a good idea to have your data where your community will find it. You can identify a suitable disciplinary repository via the Registry of Research Repositories, which hosts a searchable database of data repositories. See the Library's guide on Publishing Research Datasets in Disciplinary Repositories for more tips and information. You also don't have to look to far as ASU has some local support to help you.
Social Sciences data
Liaison Librarian Mimmo Bonanni is your official Designated Representative (DR) for the Inter-university Consortium for Political and Social Research (ICPSR), an organization comprised of member institutions with the aim of acquiring, preserving and making available social science data.
Mimmo promotes the effective use of quantitative data within ASU, including the data holdings at ICPSR. He is available to meet with you by appointment and provide assistance in finding, accessing, and analyzing ICPSR data, including assistance with creating accounts, ICPSR services and policy, and information about data deposits. Request a consultation and ask for ICPSR support.
The Digital Archaeological Record (tDAR) is an international archaeological digital archive and repository by the Center for Digital Antiquity. tDAR broadens access to archaeological data through simple search and browse functionality and is dedicated to ensuring long-term preservation of digital archaeological data. Researchers can contribute documents, data sets, images, and other critical archaeological materials.
The Central Arizona–Phoenix Long-Term Ecological Research (CAP LTER) project, one of 28 sites in the LTER network funded by the National Science Foundation, studies the ecology of the greater Phoenix metropolitan area and surrounding Sonoran desert region. All data sets from the project are published and shared in the CAP LTER Data repository unless limited by either privacy or license restrictions. See Publishing Data for information about uploading and publishing CAP LTER products.
Refer to the Publish Research page for additional publishing options for your articles and other research output.