THE RESEARCH DATA LIFECYCLE
Diagram based off © UK Data Archive Research Data Lifecycle. Modified diagram by Andrea Golden-Lasher.
Both Mines and the researcher have responsibilities and rights concerning access to, use of and maintenance of original research data. According to Steneck (2003) and based on regulation (OMB Circular A-110, Sec. 53; 42CFR, Part 50, Subpart A) research funding is awarded to research institutions and not individual investigators. As recipients of funds, institutions have responsibilities for overseeing budgets, regulatory compliance and the management of data.
Mines policy grants ownership of research data and materials to the school. Except when precluded by specific terms, Mines is responsible for retaining research data in sufficient detail and for an adequate period of time to enable appropriate responses to questions about accuracy, authenticity, primacy and compliance with applicable laws and regulations. Mines can be held accountable for the integrity of the data even after the researchers have left.
The responsibilities of Mines are distributed across CCIT, Library, and Research Administration and Technology Transfer. Mine responsibilities include:
The researcher is the primary custodian and manager of research data. These duties are best described in a well-crafted data management plan.
Different sponsors have different data management requirements, although most Federal agencies now require Data Management Plans that address how the proposed project will comply with the funder’s data management, dissemination and sharing policies. It is the researcher’s responsibility to determine if the sponsor has requirements and to understand these requirements. One requirement common to most funding bodies is a Data Management Plan (DMP). A DMP is a brief document, usually two pages or less, that outlines how the researcher will collect, organize, manage, store, secure, back up, preserve, and share research data.
The following outline is meant to provide general guidance for data management planning and is not specific to any particular funder, discipline, or type of data. Prospective researchers should always review the requirements of the funder or contact Research Support Services for advice.
Provide a general description of the data expected to be produced over the course of the project.
Describe data collection and processing plans, including data file and metadata formats or standards.
Plans for ensuring the security of data and the protection of privacy, and policies related to intellectual property.
Researchers may have ethical or legal obligations to maintain confidentiality and to protect the privacy of research subjects, or may have other circumstances requiring secure data storage or restricted access to data, such as licensing restrictions that prohibit data sharing.
Copyright protection does not necessarily extend to data (under US copyright law, data are considered “facts” and therefore not copyrightable), but some standard licensing options (Creative Commons, Open Data Commons) exist . Most metadata standards accommodate rights or usage statements where conditions for reuse may be expressed. Note that some funding agencies (including the NSF) recognize that commercialization potential may delay or preclude data sharing, and exempts trade secrets and commercial information from the data sharing requirement.
Plans and infrastructure for storing and providing access to data.
Plans for preserving data in a usable form.
Plans for covering data management costs.