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In addition, you should also consider whether you will need to preserve multiple versions of a file or whether the most recent version will be sufficient for preservation. It may also be important to consider whether the project is still in progress or whether it is complete. Long-term projects, such as those that involve sampling of a single site repeatedly over months or years, may require periodic preservation of data before the project is actually considered "finished."
Different disciplines conduct research in different ways and produce content in different forms, so we have provided some general guidelines below that apply to most researchers, as well as specific examples for various fields of study, including
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GENERAL GUIDELINES
- Definitely deposit:
- original data sets, original software code, raw data obtained from analysis of physical samples, observational data that can not be regenerated
- data sets that are not original but that are not easily available online and that you have permission to share
- for social science data, include study descriptions, codebooks, and summary statistics
- Maybe deposit:
- intermediate versions of analyses or code if they are potentially useful to others or were used in publications or theses
- Not necessary to deposit:
- incomplete, non-functional, or intermediate versions of code that would be of marginal usefulness to others
- output files from analyses if 1) the data set and code used to generate the output are deposited and 2) regenerating the output from the deposited files is fairly easy to do
- data sets that are preserved and accessible via other institutions or organizations
- graphs or charts created from the original data that could easily be regenerated
- Do not deposit (or be very carefull and ensure proper restrictions):
- any data that contains personal identifying information for human subjects, copyrighted material, secret business information, and indecent material
- Exceptions:
- Output files from analyses may be deposited if they are time-intensive to regenerate or are not excessively large, or can not be easily recreated from the deposited data set and code.
Besides preserving material from the project itself it is also recommended to preserve essential parts of the RDM process, which may for instance be
- RDM plan
- RDM documents, which happens during the development phase period (eg. storage plan, data validation, destruction, and so on)
- RDM document, that describes which files are or are not selected for long-term preservation
Different disciplines conduct research in different ways and produce content in different forms, so we have provided some general guidelines below that apply to most researchers, as well as specific examples for various fields of study, including
- science & engineering
- social sciences
- humanities.
SCIENCE & ENGINEERING RESEARCH
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- Definitely deposit:
- analytical files and software code
- metadata that identifies exactly which Kepler data were used for your analysis
- Maybe deposit:
- Kepler mission data, as these are managed by NASA
Example 2: To be announced Geomagnetic data from observatories and satellites
- Definitely deposit:
- Not necessary to deposit:
Example 3: To be announcedWind
- Definitely deposit:
- Maybe deposit:
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- Definitely deposit:
- Do not deposit:
Example 6: To be announcedHealth and illness research
- Definitely deposit:
- Do not deposit:
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Example 9: The development through time of .dk domains from 2005 to 2015
- Definitely deposit:
- Do not deposit:
Example 10: CALPIU’s storehouse
- Definitely deposit:
- Do not deposit:
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