##Data Reuse Plan Worksheet
###PROJECT LEVEL
####What
Project description (abstract)
Data set title (e.g. “Data from: ”, “Soil moisture data in Columbia Delta 1982”)
Permanent ID (PID types include: DOI, PURL, ARK, handl, etc.)
Sources of data (if someone else’s data is included in your data set; preferably use a permanent identifier if available)
Subject area (e.g. Neurological biochemistry, applied ecology, etc.)
Related research publication (include full citation and permanent identifier, if available)
####Who
Person/organization responsible for collecting data
Sponsoring or funding agency, grant number, and PI name/s & affiliations
Collaborators (if applicable)
Contact person, their affiliation and contact info for questions about the data
####Where
Location where data was collected (use geographic coordinates if appropriate)
Place of publication (e.g. institution or repository where data is made available)
####When
Dates of collection (specific date, date range)
Date of publication (when data was made publicly available)
####How
Data collection process (what instruments were used to collect the data? how frequently were the data collected? how were data collection sites selected? if there was a sample population, how was it selected?)
Data processing description (how did you clean the data? how are null values handled? did you write code for processing the data and where can it be found?)
###FILE LEVEL
File format (are there multiple formats? what software is needed to use the file/s?) NB: Avoid proprietary formats if possible!
File structure (if more than one file in dataset; include folder and file index, naming conventions, README files; provides context)
Survey instruments (if any, include permanent identifier that points to the instrument if not included in files)
Field names and definitions (include units of measurement, formulas used for calculation, explain abbreviations)