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      <identifier>bf9c6b8251d3fc0715b5bdb4774eb611e04fd0672d78c79ec410aef2fcc0f954</identifier>
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  <dc:identifier>ZA6899, Version 3.0.0</dc:identifier><dc:identifier>10.4232/1.13222</dc:identifier>
  <dc:identifier>https://search.gesis.org/research_data/ZA6899?lang=en</dc:identifier><dc:identifier>https://search.gesis.org/research_data/ZA6899?lang=de</dc:identifier>
  <dc:title xml:lang="en">Download statistics GESIS Data Archive</dc:title>
  <dc:creator xml:lang="en">GESIS - Data Archive for the Social Sciences</dc:creator><dc:creator xml:lang="de">GESIS - Data Archive for the Social Sciences</dc:creator>
  <dc:description xml:lang="en">General information: The data sets contain information on how often materials of studies available through GESIS: Data Archive for the Social Sciences were downloaded and/or ordered through one of the archive´s plattforms/services between 2004 and 2018.  Sources and plattforms: Study materials are accessible through various GESIS plattforms and services: Data Catalogue (DBK), histat, datorium, data service (and others).  Years available: - Data Catalogue: 2012-2018 - data service: 2006-2018 - datorium: 2014-2018 - histat: 2004-2018  Data sets: Data set ZA6899_Datasets_only_all_sources contains information on how often data files such as those with dta- (Stata) or sav- (SPSS) extension have been downloaded. Identification of data files is handled semi-automatically (depending on the plattform/serice). Multiple downloads of one file by the same user (identified through IP-address or username for registered users) on the same days are only counted as one download.  Data set ZA6899_Doc_and_Data_all_sources contains information on how often study materials have been downloaded. Multiple downloads of any file of the same study by the same user (identified through IP-address or username for registered users) on the same days are only counted as one download.  Both data sets are available in three formats: csv (quoted, semicolon-separated), dta (Stata v13, labeled) and sav (SPSS, labeled). All formats contain identical information.  Variables: Variables/columns in both data sets are identical. za_nr ´Archive study number´ version ´GESIS Archiv Version´ doi ´Digital Object Identifier´ StudyNo ´Study number of respective study´ Title ´English study title´ Title_DE ´German study title´ Access ´Access category (0, A, B, C, D, E)´ PubYear ´Publication year of last version of the study´ inZACAT ´Study is currently also available via ZACAT´ inHISTAT ´Study is currently also available via HISTAT´ inDownloads ´There are currently data files available for download for this study in DBK or datorium´ Total ´All downloads combined´ downloads_2004 ´downloads/orders from all sources combined in 2004´ [up to ...] downloads_2018 ´downloads/orders from all sources combined in 2018´ d_2004_dbk ´downloads from source dbk in 2004´ [up to ...] d_2018_dbk ´downloads from source dbk in 2018´ d_2004_histat ´downloads from source histat in 2004´ [up to ...] d_2018_histat ´downloads from source histat in 2018´ d_2004_dataservice ´downloads/orders from source dataservice in 2004´ [up to ...] d_2018_dataservice ´downloads/orders from source dataservice in 2018´   More information is available within the codebook.</dc:description><dc:description xml:lang="de">Allgemeine Information: Die Datensätze enthalten Informationen darüber, wie oft Studienmaterialien, die über GESIS -  Datenarchiv für Sozialwissenschaften verfügbar sind, zwischen 2004 und 2018 über eine der Plattformen / Dienste des Archivs heruntergeladen und / oder bestellt wurden.  Quellen und Plattformen: Studienmaterialien sind über verschiedene GESIS-Plattformen und -Dienste zugänglich: Datenbestandskatalog (DBK), histat, datorium, Datenservice (und andere).  Zur Verfügung stehen folgende Jahre: - Datenbestandskatalog: 2012-2018 - Datenservice: 2006-2018 - datorium: 2014-2018 - histat: 2004-2018  Datensätze: Datensatz ZA6899_Datasets_only_all_sources enthält Informationen darüber, wie oft Dateien z.B. mit der Erweiterung dta- (Stata) oder sav- (SPSS) heruntergeladen wurden. Die Identifizierung von Dateien erfolgt halbautomatisch (abhängig von der Plattform / Dienst). Mehrere Downloads von einer Datei durch denselben Benutzer (identifiziert durch IP-Adresse oder Benutzername für registrierte Benutzer) an denselben Tagen werden nur als ein Download gezählt.  Datensatz ZA6899_Doc_and_Data_all_sources enthält Informationen darüber, wie oft Studienmaterialien heruntergeladen wurden. Mehrere Downloads einer (beliebigen) Datei derselben Studie durch denselben Benutzer (identifiziert durch IP-Adresse oder Benutzername für registrierte Benutzer) an denselben Tagen werden nur als ein Download gezählt.  Beide Datensätze sind in drei Formaten verfügbar: csv (quoted, Werte getrennt durch Semikolon), dta (Stata v14, gelabelt) und sav (SPSS, gelabelt). Alle Formate enthalten identische Informationen.  Variablen: Die Variablen / Spalten in beiden Datensätzen sind identisch. za_nr ´Archive study number´ version ´GESIS Archiv Version´ doi ´Digital Object Identifier´ StudyNo ´Study number of respective study´ Title ´English study title´ Title_DE ´German study title´ Access ´Access category (0, A, B, C, D, E)´ PubYear ´Publication year of last version of the study´ inZACAT ´Study is currently also available via ZACAT´ inHISTAT ´Study is currently also available via HISTAT´ inDownloads ´There are currently data files available for download for this study in dbk or datorium´ Total ´All downloads combined´ downloads_2004 ´downloads/orders from all sources combined in 2004´ [up to ...] downloads_2018 ´downloads/orders from all sources combined in 2018´ d_2004_dbk ´downloads from source dbk in 2004´ [up to ...] d_2018_dbk ´downloads from source dbk in 2018´ d_2004_histat ´downloads from source histat in 2004´ [up to ...] d_2018_histat ´downloads from source histat in 2018´ d_2004_dataservice ´downloads/orders from source dataservice in 2004´ [up to ...] d_2018_dataservice ´downloads/orders from source dataservice in 2018´  Weitere Informationen finden Sie im Codebuch.</dc:description>
  <dc:language>en</dc:language>
  <dc:date xml:lang="en">2019-02-14</dc:date>
  <dc:type xml:lang="en">Dataset</dc:type>
  <dc:coverage xml:lang="en">Germany</dc:coverage><dc:coverage xml:lang="de">Deutschland</dc:coverage>
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      <datestamp>2023-03-15</datestamp>
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