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          <titl xml:lang="en">INFO-POW: Information Channels Cross-national Mapping Tool Dataset (OA edition)</titl>
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        <titl xml:lang="en">INFO-POW: Information Channels Cross-national Mapping Tool Dataset (OA edition)</titl>
        <IDNo xml:lang="en" agency="DOI">doi:10.11587/HS6WHC</IDNo>
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        <AuthEnty affiliation="European Centre for Social Welfare Policy and Research" xml:lang="en">Kayran, Elif Naz
        </AuthEnty><AuthEnty affiliation="European Centre for Social Welfare Policy and Research" xml:lang="en">Danaj, Sonila
        </AuthEnty><AuthEnty affiliation="European Centre for Social Welfare Policy and Research" xml:lang="en">Zolyomi, Eszter
        </AuthEnty><AuthEnty affiliation="Ca' Foscari University of Venice" xml:lang="en">Cillo, Rossana
        </AuthEnty><AuthEnty affiliation="HIVA-KU Leuven" xml:lang="en">De Smedt, Lynn
        </AuthEnty><AuthEnty affiliation="HIVA-KU Leuven" xml:lang="en">De Wispelaere, Frederic
        </AuthEnty><AuthEnty affiliation="Slovak Academy of Sciences" xml:lang="en">Kovacova, Lucia
        </AuthEnty><AuthEnty affiliation="Slovak Academy of Sciences" xml:lang="en">Moran, Alexandra
        </AuthEnty><AuthEnty affiliation="Ca' Foscari University of Venice" xml:lang="en">Perocco, Fabio
        </AuthEnty><AuthEnty affiliation="European Centre for Social Welfare Policy and Research" xml:lang="en">Prinz, Nicolas
        </AuthEnty><AuthEnty affiliation="ZRC-SAZU Slovenian Migration Institute" xml:lang="en">Toplak, Kristina
        </AuthEnty><AuthEnty affiliation="ZRC-SAZU Slovenian Migration Institute" xml:lang="en">Vah Jevsnik, Mojca
        </AuthEnty>
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        <grantNo agency="European Commission, DG Employment, European Social Fund+ (ESF+) Social Prerogatives and Specific Competencies Lines (SocPL), Call ESF-2021-POW" xml:lang="en">101059290</grantNo>
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        <distDate xml:lang="en" date="2023-06-14"/>
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        <keyword xml:lang="en" vocab="ELSST" vocabURI="https://elsst.cessda.eu/id">Access to information</keyword><keyword xml:lang="en" vocab="ELSST" vocabURI="https://elsst.cessda.eu/id">Information sources</keyword><keyword xml:lang="en" vocab="ELSST" vocabURI="https://elsst.cessda.eu/id">Employment</keyword><keyword xml:lang="en" vocab="ELSST" vocabURI="https://elsst.cessda.eu/id">Employment abroad</keyword><keyword xml:lang="en" vocab="ELSST" vocabURI="https://elsst.cessda.eu/id">Labour migration</keyword><keyword xml:lang="en" vocab="ELSST" vocabURI="https://elsst.cessda.eu/id">Businesses</keyword>
        <topcClas xml:lang="en" vocab="CESSDA Topic Classification" vocabURI="https://vocabularies.cessda.eu/vocabulary/TopicClassification">Migration</topcClas><topcClas xml:lang="en" vocab="CESSDA Topic Classification" vocabURI="https://vocabularies.cessda.eu/vocabulary/TopicClassification">Employment</topcClas><topcClas xml:lang="en" vocab="CESSDA Topic Classification" vocabURI="https://vocabularies.cessda.eu/vocabulary/TopicClassification">Labour and employment policy</topcClas><topcClas xml:lang="en" vocab="CESSDA Topic Classification" vocabURI="https://vocabularies.cessda.eu/vocabulary/TopicClassification">Media</topcClas><topcClas xml:lang="en" vocab="CESSDA Topic Classification" vocabURI="https://vocabularies.cessda.eu/vocabulary/TopicClassification">Information society</topcClas><topcClas xml:lang="en" vocab="CESSDA Topic Classification" vocabURI="https://vocabularies.cessda.eu/vocabulary/TopicClassification">Business/industrial management and organisation</topcClas>
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      <abstract xml:lang="en">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.</abstract>
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        <nation xml:lang="en" abbr="AT">Austria</nation><nation xml:lang="en" abbr="BE">Belgium</nation><nation xml:lang="en" abbr="IT">Italy</nation><nation xml:lang="en" abbr="SI">Slovenia</nation><nation xml:lang="en" abbr="SK">Slovakia</nation>
        <anlyUnit xml:lang="en">Media unit<concept/></anlyUnit>
        <universe xml:lang="en" clusion="I">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.</universe>
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