Why is Data Management Important?
Data management ensures that
- data is preserved for future researchers to discover, interpret and reuse
- the value of the data is sustained by allowing access and secondary analysis which could be used to answer additional questions not considered during the time of the actual project
- researchers manage, organize, and maintain security of their data products throughout the life of their research
- research projects maintain the required level of transparency set by their funding agencies, journal publishers, or research institutions
What is Data Management?
Data management refers to activities and practices that support the long-term preservation, access, and use of data.
The activities surrounding data management can include planning, documenting data, formatting data, storing data, anonymizing data, and controlling access restrictions on data.
Data management is becoming more prevalent in research conversations due to a large number of federal funding agencies and government entities requiring data to be made available after the completion of a funded research project. These agencies also require transparency of project operations, which means that data management plans must be outlined, submitted, and approved during the initial proposal process for every research project.
Funding Agency Requirements
The following is a list of data sharing and data management policies from funding agencies