It looks like you're using Internet Explorer 11 or older. This website works best with modern browsers such as the latest versions of Chrome, Firefox, Safari, and Edge. If you continue with this browser, you may see unexpected results.
Scholarly Communication & Publishing: Data Management
Information concerning Open Access, copyright, predatory publishers, impact factors, altmetrics, author rights, public access policy and data management plans.
Having a data management plan is beneficial and in some cases required for scholarly research and publication. An effective DMP makes your published research easier to reuse and cite. When formulating a data plan consider three things:
Source (observational, experimental, situational, or compiled)
Format (text, numeric, audiovisual, equipment outputs, models, code)
Stability (fixed, growing, revisable AND if revisable- will you need to keep track of data versions?)
Amount/Volume (How much data will be produced?)
2. File format
The file format you choose for your data is a primary factor in someone else's ability to access it in the future.
Which file format will be best to manage, share, and preserve your data?
For example, perform data collection and/or analysis in Excel, but save as a CSV (comma separated value)
3. Persistent identifiers
URLs, DOIs, etc.
Data Best Practices
Use descriptive and informative file names.
Choose file formats that will ensure long-term access.
Create metadata for every experiment or analysis run.
Handle sensitive data in an appropriate manner.
De-identify data of PID, think about HIPAA compliance.