This [DATASETNAME]readme.txt file was generated on YYYY-MM-DD by [RESEARCHER NAME]for the C19 Data Collective. 



GENERAL INFORMATION

1. Title of Dataset: 

2. Author Information
	A. Principal Investigator Contact Information
		Name: 
		Institution: 
		Address: 
		Email: 

	B. Associate or Co-investigator Contact Information
		Name: 
		Institution: 
		Address: 
		Email: 

	C. Alternate Contact Information
		Name: 
		Institution: 
		Address: 
		Email: 

3. Date of data collection (single date, range, approximate date) <suggested format YYYY-MM-DD>: 

4. Geographic location of data collection <latitude, longitude, or city/region, State, Country, as appropriate>: 

5. Funding sources and associated grant numbers that supported the collection of the data: 


SHARING/ACCESS INFORMATION

1. Licenses/restrictions placed on the data: 
	Licenses/restrictions placed on the code: 

2. Links to publications that cite or use the data: 

3. Links to other publicly accessible locations of the data: 

4. Links/relationships to ancillary data sets: 

5. Was data derived from another source? yes/no
	A. If yes, list source(s): 



DATA & FILE OVERVIEW

1. File List: 
<list all files (or folders, as appropriate for dataset organization) contained in the dataset, with a brief description>

2. Relationship between files, if important: 

3. Additional related data collected that was not included in the current data package: 

4. Are there multiple versions of the dataset? yes/no
	A. If yes, name of file(s) that was updated: 
		i. Why was the file updated? 
		ii. When was the file updated? 


METHODOLOGICAL INFORMATION

1. Description of methods used for collection/generation of data: 
<Include links or references to publications or other documentation containing any protocols used in data collection>

2. Methods for processing the data: 
<describe how the submitted data were generated from the raw or collected data>

3. Software-specific information needed to open or interpret the data: 
<include full name and version of software, and any necessary packages or libraries needed to run scripts>

4. Describe any quality-assurance procedures performed on the data: 
<include any resources used in normalizing data, such as Thesauri, Gazetteer's, etc> 

5. People involved with sample collection, processing, analysis and/or submission: 


DATA-SPECIFIC INFORMATION FOR: [FILENAME]
<repeat this section for each dataset, folder or file, as appropriate>

1. Number of variables: 

2. Number of cases/rows: 

3. Variable List: 
<list variable name(s), description(s), unit(s)and value labels as appropriate for each>

4. Missing data codes: 
<list code/symbol and definition>

5. Specialized formats or other abbreviations used: