ReadMe.txt template

This template can be customized as needed by deleting irrelevant information and adding specific descriptions appropriate to the dataset, changing the order, formatting, etc.
For the widest possible use of the dataset, it is recommended that the entire file content be prepared in English.

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1. Dataset description

Title: [Title of the dataset]
Description: [A brief description of the dataset and its intended use]
File format(-s): [File format(s), e.g. CSV, TXT, TAB, etc.]
Language used: [The language of the dataset files (e.g. questionnaire, data file, etc.)]
Keywords: [Keywords that describe the nature of the data]
Related datasets: [If the dataset consists of several data files that are related to each other, their relationship is described]

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2. Authors and contact information

Principal investigator: [First name, last name, affiliation, ORCID, email]
Co-authors: [First name, last name, affiliation, ORCID, email]
Contact person: [First name, last name, email]

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3. Data collection

Date of data collection: [Date or date range of data collection]
Geographical origin: [Region/country where data was collected]
File creation/modification date: [Date of file creation/modification]
Modifications made: [Description of modifications made]

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4. Data processing and quality

Data collection method(s): [Brief description of methods used]
Information on measuring instruments: [Measuring instrument settings, calibration data, etc.]
Data quality control: [Description of data validity and reliability checks]
Missing data designation: [Missing value designations, e.g. 999, NA, blank fields, etc.]
Persons involved in data collection, processing and analysis: [List persons involved and their roles]

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5. Data structure (Code book)

Example with tabular data from self-assessment questionnaires: Describe column names, possible values ​​and their interpretations, various notes that help to understand the data set. Additionally, it is possible to add a questionnaire with questions that correspond to the column names.

Column Name	| Description			| Values			| Notes
----------------|-------------------------------|-------------------------------|------------------------
id 		| Unique identifier		| Integer			| Randomly generated code 
gender 		| Respondent’s gender		| 1 = Male, 2 = Female		| -
age 		| Respondent’s age		| Years 			| - 
income 		| Household income level	| 1 = Low, 2 = Medium, 3 = High | Self-evaluation
...

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6. Access rights and references

Data license and terms of use: [The license granted to the data, such as CC BY 4.0 and other restrictions on working with the dataset]
Related publications or sources: [Links to publications or other resources where the dataset is cited or used]