Policy No: 2071
Responsible Office: Research Compliance and Assurance
Last Review Date: 10/25/2023
Next Required Review: 10/25/2028
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Research Data Management Practices
1. Purpose
This policy is guided by best practices and federal agency expectations for data management and sharing. The research ecosystem is evolving due to exponential growth of data, sponsor and legislative mandates on data management, as well as data storage solutions. University data, whether managed and residing on university information technology resources, stored on personal devices, managed by a third party, or outsourced to a service provider, is an important asset that must be governed, protected, and appropriately safeguarded. Members of the university community have the responsibility to appropriately use, maintain, and safeguard university data.
2. Applicability
This document is applicable to Research Data of faculty, staff, students, postdoctoral fellows, visiting scholars, and any persons employed at the University that perform, conduct, or are otherwise engaged in research activities that would result in the creation or collection of Research Data.
3. Definitions
猫咪社区APPNAS: 猫咪社区APP Network Access Storage is the university’s computer system data storage network.
Additional terms used herein are as defined in the 猫咪社区APP Laboratory Notebook Ownership and Data Management Policy.
4. Policy Guidelines
Research data is to be kept accurate, current and complete to the fullest extent that is practicable. Federal agencies emphasize the importance of good data management practices, which provide the foundation for effective data sharing and improve the reproducibility and reliability of research findings. This document supplements the 猫咪社区APP Laboratory Notebook Ownership and Data Management Policy.
5. Procedures
Managing and sharing data is an integral part of the research process. How you manage and share your data depends on the type of data, how the data is collected, and how the data is used throughout the life of the project. Effective data management helps ensure the integrity of your research and supports the published results of your research.
5.1 Collection of Research Data
Principal Investigators (PIs) must implement a classification system to organize Data. It is the responsibility of the PI to communicate the selected system to the PI’s laboratory personnel and ensure the methods and accuracy of Data collection and analysis are maintained. The Research records should entail adequate detail to allow examination for the purpose of replicating Research experiments, verifying authenticity of records, validating conclusions, and responding to allegations of Research misconduct.
For studies involving multiple University Affiliated Individuals or collaborators, it is recommended the PI of record retain a master log cataloging the experiments for the entire study. The PIs must also keep record as to locations of Laboratory Notebook, Data, and pertinent materials kept in other laboratories/locations.
The Laboratory Notebook is the most common method used to document experiments and field work. Recommended recordkeeping practices can be found in the University’s “Laboratory Notebook: Best Principles and Standards” publication. Briefly, in addition to the study title, the University Affiliated Individual’s name(s), and the study hypothesis, the experimental lab notebook should include detailed information on the materials used, sources of the materials, experimental methodology, statistical treatments, results and conclusions so as to enable replication of the experiments by others at any time. Data that cannot be entered directly in the Laboratory Notebook (e.g. glass microscope slides, fixed tissue samples, geological field samples, thumb drives, etc.) should be referenced in the Laboratory Notebook along with explicit instructions as to where the Data can be found.
5.2 Storage of Research Data
5.2.1 Digital Backups
The guiding principle behind digital backups is to ensure that at least two instances of the protected data exist on separate media. For example, the following would be considered “back-ups”:
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- Scanned images of paper documents, when both the scanned images and the original documents are retained;
- Data on USB keys or other media which have been copied to network storage or other digital media, and in which both instances are retained;
- Data located on a network storage system (for example, the University’s “猫咪社区APPNAS” system) which itself is also backed up on a regular basis.
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Specialized storage:
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- 猫咪社区APP Institutional Repository (JagWorks) can be used for archival storage for data publication adhering to NIH requirements for data sharing.
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The following would not be considered backups:
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- Data which exists only on a Google Drive/Share. Although Google does provide back-up protection of the Drive items from failure of their system, it does not protect your data from your actions such as mistaken deletions;
- Data which exists on only a single USB key or CD copy.
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Ideally data back-ups will be stored in separate locations. The 猫咪社区APPNAS system, for example, backs up data to storage facilities located in separate campus locations, as well as to a disaster recovery node in Montgomery, Alabama. Your particular grant or research program may have specific requirements for appropriate backup procedures.
The University Computer Services Center and 猫咪社区APP Health IT offices can provide further assistance in planning data storage and back up procedures.
5.2.2 University Digital Storage options
The University Computer Services Center (CSC) can assist researchers in assessing storage options for digital data. Call 251-460-6161 or email the Academic Computing support desk at helpdesk@southalabama.edu to initiate contacts. The CSC manages several networked storage systems which may be applicable to your needs, including:
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- 猫咪社区APPNAS, an on-premises, high availability storage system;
- The University G Suite (Google) “cloud” system which includes Google Drive storage;
- 猫咪社区APP Health employees will need to contact their IT support office for services specific to them. Although organizationally separate, the CSC and 猫咪社区APP Health IT support cooperate and consult on common issues such as these and will refer researchers to the appropriate support groups.
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5.3 Retention of Research Data
Retention of Research Data is based on state law, federal regulations, and sound management practices. Research Data should be archived for a minimum of seven years following the conclusion of the research project. If funding is provided from an outside organization, the policies of the grantee organization generally will prevail over the minimum standards set herein. There are state and federal regulations prescribing the length of time original Data must be retained, varying from three to seven years depending on the governmental organization. In addition, any of the following may warrant justification for longer periods of retention:
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- Terms of a sponsored Research agreement administered by the University’s Office of Sponsored Projects Administration; including clinical trial agreements;
- If a student is involved, data must be retained at least until the degree is awarded or it is clear that the student has abandoned the work;
- Research involving minors may need to be retained until the subjects reach the age of 21;
- Research Data must be retained as long as necessary to protect intellectual property resulting from the work. Data used to support a patent or copyright application must be archived for a minimum of twenty years or such other time as required by the University Office of Commercialization and Industry Collaboration.
If allegations regarding Research arise, such as Research misconduct or conflict of interest, Data must be retained for a minimum of seven years as required by federal regulation, or until such charges are fully resolved.
Records of Research Data collection and retention should be retained by the PI in the department or unit where they originated. In any event where encryption is used to secure electronic records of Research Data, keys and recovery procedures should also be appropriately maintained by the PI to ensure data can be decrypted into a readable format.
5.3.1 Transfer of Research Data
5.4 Data Sharing
5.4.2 Data Management Plan
Even if one is not required by your funding agency, developing a data management plan (DMP) at the beginning of a new project will inform good practice throughout the project life cycle. The following practices are fundamental to effective data management and can be applied to all disciplines:
Data Management Plan:
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- Adhere to the guidelines set by any funding agencies and institutions that are sponsoring the research;
- Templates for data management plans are based on specific requirements listed in funder policy documents. See for a collection of public templates;
- Complete your DMP early so that it will not be put aside at the start of data collection.
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The minimum expenses to include when calculating your data management costs are: data creation, processing, analysis, storage, sharing, and preservation. Remember that some Funding Agencies accept these costs in grant applications so be sure to include these costs. All allowable costs submitted in budget requests must be incurred during the performance period, even for scientific data and metadata preserved/shared beyond the award period.
5.5 Security and Privacy
Accessibility of any data is dependent on the quality of the storage platform/device and availability of software to view the data. Be sure to password protect and/or encrypt sensitive files. Follow 猫咪社区APP’s Controlled Unclassified Information (CUI) Policy if in receipt or development of CUI research. PIs who submit grant applications for projects containing CUI or other access-controlled research must engage the 猫咪社区APP Director, Information Security and Risk Compliance at the earliest possible moment to determine appropriate security protocols. PIs must not wait until the grant is actually awarded since these protocols can take months to implement and cause delay to the project.
Users of the University G Suite (Google) Drive and JagMail system will find guidance on security features by looking up “”JagMail Secure Messaging Features” in the A-Z index of the main University web server, or via the direct link /services/jagnet/securedata/
A key security feature, which is mandatory for all users of the G Suite system, is two-factor authentication. This can be applied to protect both the email (JagMail) and Google Drive services. Please use the A-Z index on the main University Web Server to look up “JagMail 2 Factor Authentication”, or use the direct link: /services/jagnet/twofactor.html
The University Information Security Office provides substantial guidance on appropriate procedures for protecting computer systems and data whether working on premises or remotely. To access their web page, look up “Information Security” in the “A-Z Index” on the main University web server, or use the direct link /departments/csc/informationsecurity/
猫咪社区APP Health employees may also receive guidance from 猫咪社区APP Health Information Technology and Information Security offices. Please use your normal IT contact procedures for further information.
6. Enforcement
Concerns regarding data management is overseen by the Office of Research and Economic Development.
7. Related Documents
Controlled Unclassified Information (CUI) Policy
Laboratory Notebook Ownership and Data Management Policy
猫咪社区APP Laboratory Notebook: Best Principles and Standards