Training on Data Management at UF
Trainings are free and open to UF all faculty, students and staff. Learn practical strategies for best managing your research data. This workshop includes questions to consider when creating a data management plan, with a focus on the DMPTool and tools for sharing your data at the University of Florida. Topics include metadata and annotation, file formats and organization, storage, backups and security, and data sharing. Contact us for small groups or departmental presentations.
Data-related Resources at UF
Your data partners:
- George A. Smathers Libraries and Health Science Center Libraries (Data Management Task Force)
- Research Computing/High Performance Computing Center
- Office of Research
Other data-related resources on campus:
"Research data is defined as the recorded factual material commonly accepted in the scientific community as necessary to validate research findings" (OMB, Circular A-110)
What constitutes “data” covered by a Data Management Plan?
"What constitutes such data will be determined by the community of interest through the process of peer review and program management. This may include, but is not limited to: data, publications, samples, physical collections, software and models" (NSF, Data Management & Sharing Frequently Asked Questions (FAQs), 2010)
"Recorded factual material commonly accepted in the scientific community as necessary to document and support research findings. This does not mean summary statistics or tables; rather, it means the data on which summary statistics and tables are based. For the purposes of this policy, final research data do not include laboratory notebooks, partial datasets, preliminary analyses, drafts of scientific papers, plans for future research, peer review reports, communications with colleagues, or physical objects, such as gels or laboratory specimens" (NIH, Data Sharing Policies and Implementation Guidances, 2003)
Brussels Declaration (1 November 2007), signed by 46 publishers and 13 trade organizations, including Elsevier, NPG, Springer, Oxford Univ Press, Wiley-Blackwell: "Raw research data should be made freely available to all researchers. Publishers encourage the public posting of the raw data outputs of research. Sets or sub-sets of data that are submitted with a paper to a journal should wherever possible be made freely accessible to other scholars"
The Panton Principles, Principles for Open Data in Science state that "science is based on building on, reusing and openly criticising the published body of scientific knowledge. For science to effectively function, and for society to reap the full benefits from scientific endeavours, it is crucial that science data be made open"
Panton Principles, Principles for open data in science. Murray-Rust, Peter; Neylon, Cameron; Pollock, Rufus; Wilbanks, John; (19 Feb 2010).
Benefits of Proper Data Management
Some of the benefits of proper data management are:
- Confirmation of published research claims, peer-review, and validation of data
- Reuse and repurpose of data (e.g. reanalyses and meta-analyses) beyond the primary objective of the data collector
- Increase the discoverability of research, citations and new collaborations (research impact)
- Avoids redundant data collection
- Preservation and protection of data
- Efficient use of research funding
- Increase public trust in science
- Data available for educational purposes
- Research excellence and advancing of science
Modified from Beagrie et al. (2009) Keeping Research Data Safe 2
Hazards of Not Planning to Share Data
from NYU Health Sciences Libraries, "a mini series showing a data management horror story."