AUTHOR_DATASET_ReadmeTemplate.txt

Dateiinhalt

<Readme Template for research data documentation, Research Data Service Center, University of Bonn v1.8 (2021-03-03)>
<This document is licensed under the Creative Commons CC-BY-4.0 International License>
<Template created based on https://data.research.cornell.edu/content/readme>

<help text is included in angle brackets, and can be deleted before saving>
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This file was generated on YYYY-MM-DD by NAME


A GENERAL INFORMATION

1. Title of the dataset:

2. Brief description of the research project and its aims: 

3. Author Information
	A. Investigator Contact Information
		Name: 
		Institution: 
		Address: 
		Email: 

	B. Project Supervisor (Principal Investigator) Contact Information
		Name: 
		Institution: 
		Address: 
		Email: 

	C. In case of questions related to this dataset, please contact:
		Name: 
		Institution: 
		Address: 
		Email: 

4. Date of data collection <single date, range, approximate date; format YYYY-MM-DD>: 

5. Information about funding sources that supported the collection of the data: 

6. Language of the dataset:

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



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

3. Relationship between files <when relevant>: 

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



C SHARING/ACCESS INFORMATION

1. Was data derived from another source? yes/no <If yes, list source(s)>: 

2. Licenses/restrictions placed on the data: 

3. Links to publications that cite or use the data <best via persistent identifiers, eg. DOI>: 

4. Links to other publicly accessible locations of the data <when relevant; best via persistent identifiers, eg. DOI>: 

5. Links/relationships to ancillary datasets <when relevant; best via persistent identifiers, eg. DOI>: 



D METHODOLOGICAL INFORMATION

1. Description of methods used for collection/generation of data: 
<Include links or references to publications or other documentation containing, for example (experimental) protocols>

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

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

4. People involved in sample collection, processing, analysis and/or submission: 

5. Describe any quality-assurance procedures performed on the data: 

6. Standards and calibration information <when relevant>: 

7. Environmental/experimental conditions <when relevant>: 



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


1. Variable list including full names and definitions (please spell out abbreviated words) of column headings for tabular data: 
<list variable name(s), description(s), unit(s) and value labels as appropriate for each>

2. Units of measurement used:

3. Missing data codes/symbols: 
<list code/symbol and its definition>

4. Specialized formats or other abbreviations used: