Cut-and-Paste Language
Provided by MSU Library Data Services
Last updated: 3 October 2023
Storage, Backup, and Security
Microsoft OneDrive/SharePoint
MSU researchers and affiliates have access to the Microsoft OneDrive/SharePoint cloud storage system. This service is an institutional resource and fully compliant with all data policies, and it enables collaboration between teams within MSU and across institutions by allowing users to edit, download, and share files. It can also function as a cloud backup system by syncing content between local machines and the cloud. Data stored in OneDrive will be stored in the PI’s account and shared as appropriate with other researchers.
Note: Any questions related to the storage of personally identifiable information and applicable security standards may be directed to MSU’s Legal Counsel.
Knox
Knox is a server managed by the MSU IT Center that utilizes encryption to safeguard student data or other information that MSU has a legal obligation to protect.
Data Transfer
The MSU Research Cyberinfrastructure Storage Cloud platform offers a Globus Endpoint that researchers can use to transfer files from nearly any machine using Globus. Globus was developed to enable grid computing: by connecting computing resources, the data can be freed from their initial source, and made portable—even if they are huge.
Note: For more information on data transfer and storge, contact Research Cyberinfrastructure at rci-support@montana.edu
RedCap (health-related and medical survey data)
Data will be collected using RedCap, a secure web survey tool that has a high degree of customizability for forms, provides advanced user right control, and supports HIPAA compliance. MSU’s RedCap instance is hosted by the University of Washington’s Institute of Translational Health Sciences, which oversees security measures for the system to protect the data stored within REDCap, as well as information pertaining to the identity and activity of REDCap users.
Note: For more information, please see https://www.iths.org/investigators/services/bmi/redcap.
Qualtrics (general survey data)
Qualtrics online survey system is a web-based service that allows users to create a survey, collect and store data securely, and analyze responses. MSU has a site license for Qualtrics, and the service has been vetted and authorized by University IT and Office of Legal Counsel.
Data repositories
Dryad (recommended for quantitative data)
Note: MSU's institutional membership covers the cost of data sharing in Dryad.
Data Access and Sharing
Data from this project will be made available with a Creative Commons Zero designation (https://creativecommons.org/publicdomain/zero/1.0) in Dryad Digital Repository (https://datadryad.org), a non-profit, community-owned data repository hosted by the California Digital Library. MSU is an institutional member of Dryad. All content in Dryad is available for the public to view and download, free of charge, via an online interface, with a permanent digital object identifier (DOI). Data depositors may opt to embargo their content for a limited period of time before it is made public. Dryad ensures that data are discoverable, freely reusable, and citable (https://datadryad.org/stash/our_mission).
Archiving and Preservation of Access
Dryad is built on the University of California Curation Center’s Merritt system, which includes preservation infrastructure that follows community best practices. Items are retained indefinitely; data files are replicated with multiple copies in multiple geographic locations and metadata are backed up on a nightly basis; all data files are stored along with a SHA-256 checksum of the file content and regular checks of files against their checksums are made; in case of closure of the repository, reasonable efforts will be made to integrate all content into suitable alternative institutional and/or subject based repositories (see https://datadryad.org/stash/faq).
Qualitative Data Repository (recommended for qualitative and mixed methods data)
Note: Please contact QDR for a brief conversation about your potential deposit. If they agree that your data is suitable for deposit with QDR, please feel free to adopt and adapt the text below. MSU's institutional membership covers the cost of QDR.
Data Access and Sharing
The principal investigators have communicated with the Qualitative Data Repository (QDR) regarding their plan to deposit in QDR the data generated through the research project and accompanying documentation. QDR staff have confirmed that [insert type of data] are suitable for archiving with QDR. As the designated archive, QDR will take responsibility for managing the data and documentation after they are deposited and will make them available to the broader social science community according to [insert access conditions as necessary].
Archiving and Preservation of Access
QDR is a domain repository that stores, publishes, and preserves digital materials (data and documentation) generated through qualitative and multi-method research. QDR has been certified as a "trustworthy data repository" by CoreTrustSeal. In tandem with the researchers who deposit data with QDR, its trained staff fully curates data to make them usable, discoverable, meaningful, citable, secure and durably preserved. As part of its curation process, QDR ensures that data are stored in formats appropriate for long-term archiving, assists in the creation of detailed documentation, publishes data with metadata in Data Documentation Initiative (DDI) format, and attaches a Digital Object Identifier (DOI) to data to facilitate findability and allow stable citations to the data.
ICPSR (recommended for social science data, especially data that requires access restrictions)
Note: ICPSR charges for their curation and publishing services. Please contact ICPSR for an estimate before using this language in your DMP. If you do not have the budget for publication in ICPSR, you may want to consider OpenICPSR, Qualitative Data Repository (for qualitative or mixed-methods data—see above) or Dryad (for quantitative data—see above).
Data Access and Sharing
Data from this project will be made available in ICPSR, a curated, domain repository for the social and behavioral sciences that is operated by the Inter-university Consortium for Political and Social Research (ICPSR) at the Institute for Social Research at the University of Michigan. ICPSR and has a nearly 50-year track record for preserving and making data available for social and behavioral science research and instruction. ICPSR provides restricted data access if necessary. Data in ICPSR is described using social and behavioral science‐specific metadata, especially covering methodology.
Archiving and Preservation of Access
Digital preservation at ICPSR is guided by the ICPSR Digital Preservation Policy Framework (https://www.icpsr.umich.edu/icpsrweb/content/datamanagement/preservation/policies/dpp-framework.html),last updated and approved in 2012. ICPSR provides sustainable, standards-based preservation and public access for the long term. Data files are archived in ICPSR's standard archival storage, which replicates holdings through multiple and varied methods and locations. All files uploaded to ICPSR are encrypted using server-side encryption.
Zenodo (recommended for long-term sharing of software and code)
Data Access and Sharing
Data supporting the conclusions from published articles will be made available under an Attribution 4.0 Creative Commons License (https://creativecommons.org/licenses/by/4.0) in Zenodo (https://zenodo.org), a data repository hosted by CERN—a memory institution for High Energy Physics, known for its pioneering work in Open Access. Zenodo is funded by CERN, the European Commission via OpenAire projects, and the Alfred P. Sloan Foundation. All open content in Zenodo is available for the public to view and download, free of charge, via an online interface, with a permanent digital object identifier (DOI). Data depositors may opt to embargo their content for a limited period of time before it is made public, or they may opt to restrict their data, approving access only to requesters who meet certain requirements. Zenodo ascribes to the FAIR Guiding Principles for scientific data management and stewardship, aiming to ensure that data is findable, accessible, interoperable, and reusable (https://about.zenodo.org/principles/).
Archiving and Preservation of Access
Zenodo is fully run on open source products, with technical, security, and preservation features that follow community best practices. Data files and metadata are backed up nightly and replicated into multiple copies. All data files are stored with a MD5 checksum, and files are regularly checked against their checksums to ensure that file content remains constant. Data retention is guaranteed for the lifetime of the repository. In case of closure of the repository, best efforts will be made to integrate all content into suitable alternative institutional and/or subject based repositories (see https://about.zenodo.org/infrastructure and https://about.zenodo.org/policies).
Policies for Reuse
Releasing data to the public domain using Creative Commons Zero
For more information on releasing data to the public domain, please see: Creative Commons Wiki and Schofield et al., 2009.
Data from this project will be designated Creative Commons Zero (CC0, https://creativecommons.org/publicdomain/zero/1.0). The CC0 designation releases the data into the public domain, thus allowing future users free and uninhibited use of the data.
Licensing data using a Creative Commons Attribution license
Data from this project will be made available under a Creative Commons Attribution license (CC BY, https://creativecommons.org/licenses/by/4.0). CC BY allows others to copy and redistribute the material in any medium or format, and to remix, transform, and build upon the material for any purpose (even commercially). This license accommodates maximum dissemination and use of licensed materials. The CC BY License adheres to the MSU Policy on Intellectual Property.
Licensing data using an Open Data Commons Attribution license
Data from this project will made available under an Open Data Commons Attribution license (ODC BY http://opendatacommons.org/licenses/by). ODC BY allows others to distribute, remix, tweak, and build upon the work (even commercially), as long as the author is credited for the original creation. This license accommodates maximum dissemination and use of licensed materials. The ODC BY License adheres to the MSU Policy on Intellectual Property.
MSU Data Policies
MSU Faculty Handbook Intellectual Property Policy
MSU Electronic Research Data Security Policy