Contributing Data to NDACAN
Template for NDACAN Contributor Data Management Plan
[Provide a brief description of the digital data you plan to collect including the data type, scale, and collection procedures.]
[Discuss the impact of these data within the field and any broad societal impact.] Archiving at NDACAN will facilitate secondary analysis and maximize the value of the data.
We have consulted with the National Data Archive on Child Abuse and Neglect at Cornell University, and these data as described have been accepted to be archived. NDACAN has demonstrated itself to be a trustworthy repository of child maltreatment data for over 20 years, and will make the data available to the research community for secondary analysis. A letter attesting to NDACANs commitment to archive the data is included with the proposal.
Content and Format
These digital data will be archived at NDACAN in formats congruent with current practices in digital archiving. The documentation and codebook will be preserved in .pdf form, and the data and metadata will be preserved in SPSS, Excel, ASCII, or .pdf form as appropriate. The data may be migrated to new formats as best practices in digital archiving are updated. The data will be distributed in multiple formats (e.g. SPSS, SAS, and Stata) to reduce barriers to analysis.
NDACAN will make the data available to the research community. Due to the sensitive nature of child maltreatment data, the use will be restricted to licensed researchers with IRB approval for secondary analysis of the data. Any information that could allow participants to be identified will be removed. NDACAN will provide researchers with ongoing user-support.
NDACAN will assure long-term preservation. Data, metadata, and documentation are stored in sustainable formats and are backed up on a secure server.
Transfer of Responsibility
NDACAN will be available to offer data management consultation over the course of the project. The data will be provided to NDACAN for processing upon completion of the research. NDACAN will collaborate with the contributor about archiving, subject the dataset to rigorous review, process the dataset for preservation and distribution, and create additional documentation (such as a Users Guide and Codebook) as needed. The data may be embargoed for [insert time period of 0-2 years, preferably no more than 1 year] to allow the principal investigators time to publish before being made available to the research community.
Resources for Creating a Data Management Plan
- National Institutes of Health: NIH Data Sharing Policy and Implementation Guidance
- National Science Foundation: NSF Dissemination and Sharing of Research Results
- Inter-University Consortium for Political and Social Research: Guide to Social Science Data Preparation and Archiving
Interagency Working Group on Digital Data. (2009). Harnessing the power of digital data for science and society: Report of the interagency working group on digital data to the committee on science of the national science and technology council. Washington, DC: Retrieved from http://www.nitrd.gov/about/Harnessing_Power_Web.pdf
Inter-University Consortium for Political and Social Research (2009). Guidelines for effective data management plans [webpage]. Ann Arbor, MI: Regents of University of Michigan. Retrieved 1/25/2011 from http://www.icpsr.umich.edu/icpsrweb/ICPSR/dmp/index.jsp
Piwowar, H. A., Day, R. S., & Fridsma, D. B. (2007). Sharing detailed research data is associated with increased citation rate. PLoS ONE, 2(3), e308. doi:http://dx.doi.org/10.1371/journal.pone.0000308