INFO-POW: Information Channels Cross-national Mapping Tool Dataset (OA edition)

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Kayran, Elif Naz; Danaj, Sonila; Zolyomi, Eszter; Cillo, Rossana; De Smedt, Lynn; De Wispelaere, Frederic; Kovacova, Lucia; Moran, Alexandra; Perocco, Fabio; Prinz, Nicolas; Toplak, Kristina; Vah Jevsnik, Mojca, 2023, "INFO-POW: Information Channels Cross-national Mapping Tool Dataset (OA edition)", https://doi.org/10.11587/HS6WHC, AUSSDA, V1, UNF:6:9YgQDPLXm3JhbCwUxKBv9A== [fileUNF]

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Description	Full edition for public use. INFO-POW: Information Channels Mapping Tool Cross-national Dataset is the outcome of the data collection of existing information channels for posting companies in the five project countries (Austria, Belgium, Italy, Slovenia, and Slovakia). The dataset systematically identifies existing information channels and maps different dimensions and characteristics of the currently available information online and offline. The dataset maps information channels targeting companies that are active in the posting of workers within the EU. The data promotes the evidence basis through collecting and evaluating existing information sources specific to the posting process and posted workers' working conditions. In this way, the dataset allows researchers and stakeholders alike to identify the comparative differences in the information provided within and between countries and systematically observe the gaps in available information on the posting of workers.
Keyword	Access to information, Information sources, Employment, Employment abroad, Labour migration, Businesses
Notes	The dataset´s research design and method have been developed by the first three authors as cited above. The data collectors of the dataset and coders of the data are then listed in alphabetical order.
License/Data Use Agreement	Custom Dataset Terms

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	1 to 7 of 7 Files	Original Format Archival Format (.tab)
	10818_da_en_v1_0.tab data/Tabular Data - 93.7 KB Published Jun 14, 2023 18 Downloads 72 Variables, 182 Observations UNF:6:97egiTy47ju9bhTYw/3r5w== Core data file – STATA format – 72 Variables, 182 Observations DataSTATA	Access File File Access Public Download Options Stata 14 Binary (Original File Format) Tab-Delimited RData Download Metadata Variable Metadata Data File Citation EndNote XML RIS BibTeX
	10818_da_en_v1_0.zip data/ZIP Archive - 25.3 KB Published Jun 14, 2023 16 Downloads MD5: 107ac406218697f50820c9ad5913833c Core data file – compressed CSV format – 72 Variables, 182 Observations CSVData	Access File File Access Public Download Options ZIP Archive Download Metadata Data File Citation EndNote XML RIS BibTeX
	10818_da_en_v1_0.zsav data/Unknown - 72.7 KB Published Jun 14, 2023 18 Downloads MD5: 9c726d69d094dd8bb5a92d4de19950f2 Core data file – compressed SPSS format – 72 Variables, 182 Observations DataSPSS	Access File File Access Public Download Options Original File Format Download Metadata Data File Citation EndNote XML RIS BibTeX
	10818_co_en_v1_0.pdf documentation/Adobe PDF - 364.8 KB Published Jun 14, 2023 23 Downloads MD5: a601b3df1a5b86026d9cc95cb5b502c5 Codebook CodebookDocumentation	Access File File Access Public Download Options Adobe PDF Download Metadata Data File Citation EndNote XML RIS BibTeX
	10818_mr_en_v1_0.pdf documentation/Adobe PDF - 621.3 KB Published Jun 14, 2023 20 Downloads MD5: b2801c7a38ac81d2e0695781ea238fbd Method report DocumentationMethod report	Access File File Access Public Download Options Adobe PDF Download Metadata Data File Citation EndNote XML RIS BibTeX
	10818_readme.pdf documentation/Adobe PDF - 58.1 KB Published Jun 14, 2023 17 Downloads MD5: c4900e41f06d4aa442a285ec5a2690b3 Data curation protocol Documentation	Access File File Access Public Download Options Adobe PDF Download Metadata Data File Citation EndNote XML RIS BibTeX
	10818_vi_en_v1_0.tab documentation/Tabular Data - 8.6 KB Published Jun 14, 2023 15 Downloads 3 Variables, 242 Observations UNF:6:aQ3Qml3QNCq4aiOaDIOzaQ== Variable identifiers and descriptions – machine-readable Documentation	Access File File Access Public Download Options Comma Separated Values (Original File Format) Tab-Delimited RData Download Metadata Variable Metadata Data File Citation EndNote XML RIS BibTeX

Citation Metadata

Persistent Identifier	doi:10.11587/HS6WHC
Publication Date	2023-06-14
Title	INFO-POW: Information Channels Cross-national Mapping Tool Dataset (OA edition)
Alternative Title	INFO-POW: Datensatz zum länderübergreifenden Mapping von Informationskanälen
Author	Kayran, Elif Naz (European Centre for Social Welfare Policy and Research) - ORCID: 0000-0002-5804-0625 Danaj, Sonila (European Centre for Social Welfare Policy and Research) - ORCID: 0000-0002-0582-7125 Zolyomi, Eszter (European Centre for Social Welfare Policy and Research) - ORCID: 0000-0003-0175-6646 Cillo, Rossana (Ca' Foscari University of Venice) - ORCID: 0000-0001-6219-593X De Smedt, Lynn (HIVA-KU Leuven) - ORCID: 0000-0002-6398-5412 De Wispelaere, Frederic (HIVA-KU Leuven) Kovacova, Lucia (Slovak Academy of Sciences) - ORCID: 0000-0002-7484-552X Moran, Alexandra (Slovak Academy of Sciences) - ORCID: 0009-0009-0341-0228 Perocco, Fabio (Ca' Foscari University of Venice) - ORCID: 0000-0003-0991-0046 Prinz, Nicolas (European Centre for Social Welfare Policy and Research) - ORCID: 0000-0002-2532-1447 Toplak, Kristina (ZRC-SAZU Slovenian Migration Institute) - ORCID: 0000-0001-7972-1481 Vah Jevsnik, Mojca (ZRC-SAZU Slovenian Migration Institute) - ORCID: 0000-0001-8388-7804
Point of Contact	Use email button above to contact. AUSSDA (The Austrian Social Science Data Archive)
Description	Full edition for public use. INFO-POW: Information Channels Mapping Tool Cross-national Dataset is the outcome of the data collection of existing information channels for posting companies in the five project countries (Austria, Belgium, Italy, Slovenia, and Slovakia). The dataset systematically identifies existing information channels and maps different dimensions and characteristics of the currently available information online and offline. The dataset maps information channels targeting companies that are active in the posting of workers within the EU. The data promotes the evidence basis through collecting and evaluating existing information sources specific to the posting process and posted workers' working conditions. In this way, the dataset allows researchers and stakeholders alike to identify the comparative differences in the information provided within and between countries and systematically observe the gaps in available information on the posting of workers.
Subject	Social Sciences
Keyword	Access to information (ELSST) https://elsst.cessda.eu/id Information sources (ELSST) https://elsst.cessda.eu/id Employment (ELSST) https://elsst.cessda.eu/id Employment abroad (ELSST) https://elsst.cessda.eu/id Labour migration (ELSST) https://elsst.cessda.eu/id Businesses (ELSST) https://elsst.cessda.eu/id
Topic Classification	Migration (CESSDA Topic Classification) https://vocabularies.cessda.eu/vocabulary/TopicClassification Employment (CESSDA Topic Classification) https://vocabularies.cessda.eu/vocabulary/TopicClassification Labour and employment policy (CESSDA Topic Classification) https://vocabularies.cessda.eu/vocabulary/TopicClassification Media (CESSDA Topic Classification) https://vocabularies.cessda.eu/vocabulary/TopicClassification Information society (CESSDA Topic Classification) https://vocabularies.cessda.eu/vocabulary/TopicClassification Business/industrial management and organisation (CESSDA Topic Classification) https://vocabularies.cessda.eu/vocabulary/TopicClassification
Notes	The dataset´s research design and method have been developed by the first three authors as cited above. The data collectors of the dataset and coders of the data are then listed in alphabetical order.
Language	English
Funding Information	European Commission, DG Employment, European Social Fund+ (ESF+) Social Prerogatives and Specific Competencies Lines (SocPL), Call ESF-2021-POW: 101059290
Distributor	The Austrian Social Science Data Archive
Depositor	European Centre for Social Welfare Policy and Research
Date of Collection	Start Date: 2022-12-02 ; End Date: 2023-02-27
Data Type	Numeric; Text
Data Source	Communications

Geospatial Metadata

Geographic Coverage	Austria Belgium Italy Slovenia Slovakia

Social Science and Humanities Metadata

Unit of Analysis	Media unit
Universe	The unit of the dataset is individual information sources (such as websites, online guidelines, offline brochures, online/offline trainings and seminars etc.) which are descriptive, instructive, and/or in an otherwise guiding format on the topic of posting of workers (i.e., the process whereby foreign employers without a place of business in a country can temporarily send workers to that country to fulfil an assignment). The universe of our data, therefore, is the all such relevant information sources in the five ountries in our sample.
Time Method	Cross-section
Sampling Procedure	Non-probability: Availability
Collection Mode	Content coding
Type of Research Instrument	Data collection guidelines: Secondary data collection guide

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INFO-POW: Information Channels Cross-national Mapping Tool Dataset von Kayran, Elif Naz; Danaj, Sonila; Zolyomi, Eszter; Cillo, Rossana; De Smedt, Lynn; De Wispelaere, Frederic; Kovacova, Lucia; Moran, Alexandra; Perocco, Fabio; Prinz, Nicolas; Toplak, Kristina; Vah Jevsnik, Mojca ist lizenziert unter einer Creative Commons Namensnennung 4.0 International Lizenz.

Mit dem Zugriff auf die Datei(en) erklären Sie sich mit den AUSSDA Nutzungsbedingungen und der Datenschutzerklärung einverstanden.

INFO-POW: Information Channels Cross-national Mapping Tool Dataset by Kayran, Elif Naz; Danaj, Sonila; Zolyomi, Eszter; Cillo, Rossana; De Smedt, Lynn; De Wispelaere, Frederic; Kovacova, Lucia; Moran, Alexandra; Perocco, Fabio; Prinz, Nicolas; Toplak, Kristina; Vah Jevsnik, Mojca is licensed under a Creative Commons Attribution 4.0 International License.

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