Published on 01 April 2025

IT-identity

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Telitsyna, Alexandra;Zabelina, Ekaterina

Description

Description of the "IT-identity.xlsx" DatabaseGeneral Information:The database contains survey results related to identity in the field of information technology (IT), online activity, values, and respondents' temporal orientation. The data is structured as an Excel spreadsheet, where each row corresponds to an individual respondent’s answers, and columns represent various questions and indicators.Data Structure:Metadata:Sheet name: "Ответы на форму (1)" (Responses to the form (1)).Number of rows: 164 (respondents).Number of columns: 64 (including computed fields).Main Data Sections:Demographic Data:Gender (1 – male, 2 – female).Age (in full years).Urban/rural residence.Country (1 – Russia, 2 – Kyrgyzstan).Education level.Field of occupation.Income level.IT Identity:A series of 9 questions assessing feelings and attitudes toward IT (confidence, enthusiasm, dependence, etc.).IT Identity Score: Calculated as the average of responses to questions 1–9.Online Activity:Online shopping (3 questions).Online banking (3 questions).Online news consumption (3 questions).Online chatting (3 questions).Average scores for each type of online activity.Values:12 values, including material well-being, self-development, respect for others, health, etc.Temporal Orientation:Past (4 questions).Present (4 questions).Future (4 questions).Average scores for each temporal orientation.Trust and Life Satisfaction:Trust in people (2 questions).Life satisfaction (1 question).Data Characteristics:Responses are presented in numerical form (mostly on a 1 to 5 scale).Computed fields (e.g., average values) use the formula =AVERAGE().Some responses may be missing (e.g., place of residence).The dataset includes respondents from various cities and countries, with diverse age groups and education levels.Potential Areas of Analysis:Examining the relationship between IT identity and demographic factors (gender, age, education).Analyzing online activity preferences (shopping, banking, news consumption, social interaction).Investigating respondents’ values and their connection to IT identity.Evaluating temporal orientation (past, present, future) and its impact on technology usage

Citations (0)

Mentions (0)

Metrics

Dataset Index

1.8

FAIR Score

73%

Citations

0

Mentions

0

Metrics Over Time

Publication Details

DOI

Publisher

Zenodo

Assigned Domain

Subfield

Gender Studies

Field

Social Sciences

Domain

Social Sciences

Confidence Score

41%

Source

Scholar Data Model

Normalization Factors

FT

13.46

CTw

1.00

MTw

1.00