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Forschungsdatenmanagement&lt;/span&gt;, &lt;/em&gt;  &lt;/span&gt;(&lt;em&gt;&lt;span&gt;2013&lt;meta content=&#034;2013&#034; itemprop=&#034;datePublished&#034;/&gt;&lt;/span&gt;&lt;/em&gt;)&lt;/span&gt;</content:encoded><taxo:topics><rdf:Bag><rdf:li rdf:resource="https://puma.ub.uni-stuttgart.de/tag/forschungsdaten"/><rdf:li rdf:resource="https://puma.ub.uni-stuttgart.de/tag/data"/><rdf:li rdf:resource="https://puma.ub.uni-stuttgart.de/tag/policy"/><rdf:li rdf:resource="https://puma.ub.uni-stuttgart.de/tag/sfb"/></rdf:Bag></taxo:topics><burst:publication><rdf:Description rdf:about="https://puma.ub.uni-stuttgart.de/bibtex/2bdae1e1790aa3cf8531c53201762310e/diglezakis"><owl:sameAs rdf:resource="/uri/bibtex/2bdae1e1790aa3cf8531c53201762310e/diglezakis"/><rdf:type rdf:resource="http://swrc.ontoware.org/ontology#Article"/><swrc:date>Mon Feb 18 10:25:06 CET 2019</swrc:date><swrc:journal>LIBREAS. Library Ideas # 23: Forschungsdaten. Metadaten. Noch mehr Daten. Forschungsdatenmanagement</swrc:journal><swrc:pages>106--130</swrc:pages><swrc:title>Forschungsdatenmanagement in DFG-SFBs</swrc:title><swrc:year>2013</swrc:year><swrc:keywords>forschungsdaten data policy sfb </swrc:keywords><swrc:hasExtraField><swrc:Field swrc:value="http://dx.doi.org/10.18452/9045" swrc:key="doi"/></swrc:hasExtraField><swrc:author><rdf:Seq><rdf:_1><swrc:Person swrc:name="Claudia Engelhardt"/></rdf:_1></rdf:Seq></swrc:author></rdf:Description></burst:publication></item><item rdf:about="https://puma.ub.uni-stuttgart.de/bibtex/26ead8b362af6e29f42225c4a4b712c95/diglezakis"><title>Statistical Modeling by Gesture: A graphical, Browser-based Statistical Interface for Data Repositories.</title><link>https://puma.ub.uni-stuttgart.de/bibtex/26ead8b362af6e29f42225c4a4b712c95/diglezakis</link><dc:creator>diglezakis</dc:creator><dc:date>2018-11-19T08:40:13+01:00</dc:date><dc:subject>forschungsdaten visualization data tools dataverse statistics </dc:subject><content:encoded>&lt;span data-person-type=&#034;author&#034; class=&#034;authorEditorList &#034;&gt;&lt;span&gt;&lt;span itemtype=&#034;http://schema.org/Person&#034; itemscope=&#034;itemscope&#034; itemprop=&#034;author&#034;&gt;&lt;a title=&#034;James Honaker&#034; itemprop=&#034;url&#034; href=&#034;/person/1832232a507428484cc9aedf97bcce01b/author/0&#034;&gt;&lt;span itemprop=&#034;name&#034;&gt;J. 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Grethe&lt;/span&gt;&lt;/a&gt;&lt;/span&gt;, &lt;/span&gt;&lt;span&gt;&lt;span itemtype=&#034;http://schema.org/Person&#034; itemscope=&#034;itemscope&#034; itemprop=&#034;author&#034;&gt;&lt;a title=&#034;David Kennedy&#034; itemprop=&#034;url&#034; href=&#034;/person/1722b8037e31c2cdab1cdb87ffa1a29b2/author/3&#034;&gt;&lt;span itemprop=&#034;name&#034;&gt;D. Kennedy&lt;/span&gt;&lt;/a&gt;&lt;/span&gt;, &lt;/span&gt;&lt;span&gt;&lt;span itemtype=&#034;http://schema.org/Person&#034; itemscope=&#034;itemscope&#034; itemprop=&#034;author&#034;&gt;&lt;a title=&#034;Henning Hermjakob&#034; itemprop=&#034;url&#034; href=&#034;/person/1722b8037e31c2cdab1cdb87ffa1a29b2/author/4&#034;&gt;&lt;span itemprop=&#034;name&#034;&gt;H. 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Karcher&lt;/span&gt;&lt;/a&gt;&lt;/span&gt;, &lt;/span&gt;&lt;span&gt;&lt;span itemtype=&#034;http://schema.org/Person&#034; itemscope=&#034;itemscope&#034; itemprop=&#034;author&#034;&gt;&lt;a title=&#034;Maryann Martone&#034; itemprop=&#034;url&#034; href=&#034;/person/1722b8037e31c2cdab1cdb87ffa1a29b2/author/9&#034;&gt;&lt;span itemprop=&#034;name&#034;&gt;M. Martone&lt;/span&gt;&lt;/a&gt;&lt;/span&gt;&lt;/span&gt; and 1 other author(s). &lt;/span&gt;&lt;span class=&#034;additional-entrytype-information&#034;&gt;&lt;span itemtype=&#034;http://schema.org/PublicationIssue&#034; itemscope=&#034;itemscope&#034; itemprop=&#034;isPartOf&#034;&gt;&lt;em&gt;&lt;span itemprop=&#034;journal&#034;&gt;bioRxiv&lt;/span&gt;, &lt;/em&gt;  &lt;/span&gt;(&lt;em&gt;&lt;span&gt;2017&lt;meta content=&#034;2017&#034; itemprop=&#034;datePublished&#034;/&gt;&lt;/span&gt;&lt;/em&gt;)&lt;/span&gt;</content:encoded><taxo:topics><rdf:Bag><rdf:li rdf:resource="https://puma.ub.uni-stuttgart.de/tag/forschungsdaten"/><rdf:li rdf:resource="https://puma.ub.uni-stuttgart.de/tag/citation"/><rdf:li rdf:resource="https://puma.ub.uni-stuttgart.de/tag/data"/></rdf:Bag></taxo:topics><burst:publication><rdf:Description rdf:about="https://puma.ub.uni-stuttgart.de/bibtex/2b0a837dfc15c2179311677c83e7fe619/diglezakis"><owl:sameAs rdf:resource="/uri/bibtex/2b0a837dfc15c2179311677c83e7fe619/diglezakis"/><rdf:type rdf:resource="http://swrc.ontoware.org/ontology#Article"/><owl:sameAs rdf:resource="https://www.biorxiv.org/content/early/2017/10/09/097196"/><swrc:date>Tue Jun 05 11:14:16 CEST 2018</swrc:date><swrc:journal>bioRxiv</swrc:journal><swrc:publisher><swrc:Organization swrc:name="Cold Spring Harbor Laboratory"/></swrc:publisher><swrc:title>A Data Citation Roadmap for Scholarly Data Repositories</swrc:title><swrc:year>2017</swrc:year><swrc:keywords>forschungsdaten citation data </swrc:keywords><swrc:abstract>This article presents a practical roadmap for scholarly data repositories to implement data citation in accordance with the Joint Declaration of Data Citation Principles, a synopsis and harmonization of the recommendations of major science policy bodies. The roadmap was developed by the Repositories Expert Group, as part of the Data Citation Implementation Pilot (DCIP) project, an initiative of FORCE11.org and the NIH BioCADDIE (https://biocaddie.org) program. The roadmap makes 11 specific recommendations, grouped into three phases of implementation: a) required steps needed to support the Joint Declaration of Data Citation Principles, b) recommended steps that facilitate article/data publication workflows, and c) optional steps that further improve data citation support provided by data repositories.</swrc:abstract><swrc:hasExtraField><swrc:Field swrc:value="10.1101/097196" swrc:key="doi"/></swrc:hasExtraField><swrc:hasExtraField><swrc:Field swrc:value="https://www.biorxiv.org/content/early/2017/10/09/097196.full.pdf" swrc:key="eprint"/></swrc:hasExtraField><swrc:author><rdf:Seq><rdf:_1><swrc:Person swrc:name="Martin Fenner"/></rdf:_1><rdf:_2><swrc:Person swrc:name="Merc{\`e} Crosas"/></rdf:_2><rdf:_3><swrc:Person swrc:name="Jeffrey Grethe"/></rdf:_3><rdf:_4><swrc:Person swrc:name="David Kennedy"/></rdf:_4><rdf:_5><swrc:Person swrc:name="Henning Hermjakob"/></rdf:_5><rdf:_6><swrc:Person swrc:name="Philippe Rocca-Serra"/></rdf:_6><rdf:_7><swrc:Person swrc:name="Gustavo Durand"/></rdf:_7><rdf:_8><swrc:Person swrc:name="Robin Berjon"/></rdf:_8><rdf:_9><swrc:Person swrc:name="Sebastian Karcher"/></rdf:_9><rdf:_10><swrc:Person swrc:name="Maryann Martone"/></rdf:_10><rdf:_11><swrc:Person swrc:name="Timothy Clark"/></rdf:_11></rdf:Seq></swrc:author></rdf:Description></burst:publication><description>A Data Citation Roadmap for Scholarly Data Repositories | bioRxiv</description></item><item rdf:about="https://puma.ub.uni-stuttgart.de/bibtex/224312a954079a07a4488cc88392ef995/diglezakis"><title>Challenges of Research Data Management for High Performance Computing</title><link>https://puma.ub.uni-stuttgart.de/bibtex/224312a954079a07a4488cc88392ef995/diglezakis</link><dc:creator>diglezakis</dc:creator><dc:date>2018-02-16T09:39:19+01:00</dc:date><dc:subject>forschungsdaten metadata management data simulation obib hpc </dc:subject><content:encoded>&lt;span data-person-type=&#034;author&#034; class=&#034;authorEditorList &#034;&gt;&lt;span&gt;&lt;span itemtype=&#034;http://schema.org/Person&#034; itemscope=&#034;itemscope&#034; itemprop=&#034;author&#034;&gt;&lt;a title=&#034;Björn Schembera&#034; itemprop=&#034;url&#034; href=&#034;/person/1da85dbed0522ad7ae1cad483bacb645e/author/0&#034;&gt;&lt;span itemprop=&#034;name&#034;&gt;B. Schembera&lt;/span&gt;&lt;/a&gt;&lt;/span&gt;, &lt;/span&gt; and &lt;span&gt;&lt;span itemtype=&#034;http://schema.org/Person&#034; itemscope=&#034;itemscope&#034; itemprop=&#034;author&#034;&gt;&lt;a title=&#034;Thomas Bönisch&#034; itemprop=&#034;url&#034; href=&#034;/person/1da85dbed0522ad7ae1cad483bacb645e/author/1&#034;&gt;&lt;span itemprop=&#034;name&#034;&gt;T. Bönisch&lt;/span&gt;&lt;/a&gt;&lt;/span&gt;&lt;/span&gt;. &lt;/span&gt;&lt;span class=&#034;additional-entrytype-information&#034;&gt;&lt;span itemtype=&#034;http://schema.org/Book&#034; itemscope=&#034;itemscope&#034; itemprop=&#034;isPartOf&#034;&gt;&lt;em&gt;&lt;span itemprop=&#034;name&#034;&gt;International Conference on Theory and Practice of Digital Libraries&lt;/span&gt;, &lt;/em&gt;&lt;/span&gt;&lt;em&gt;page &lt;span itemprop=&#034;pagination&#034;&gt;140--151&lt;/span&gt;. &lt;/em&gt;&lt;em&gt;Springer, &lt;/em&gt;(&lt;em&gt;&lt;span&gt;2017&lt;meta content=&#034;2017&#034; itemprop=&#034;datePublished&#034;/&gt;&lt;/span&gt;&lt;/em&gt;)&lt;/span&gt;</content:encoded><taxo:topics><rdf:Bag><rdf:li rdf:resource="https://puma.ub.uni-stuttgart.de/tag/forschungsdaten"/><rdf:li rdf:resource="https://puma.ub.uni-stuttgart.de/tag/metadata"/><rdf:li rdf:resource="https://puma.ub.uni-stuttgart.de/tag/management"/><rdf:li rdf:resource="https://puma.ub.uni-stuttgart.de/tag/data"/><rdf:li rdf:resource="https://puma.ub.uni-stuttgart.de/tag/simulation"/><rdf:li rdf:resource="https://puma.ub.uni-stuttgart.de/tag/obib"/><rdf:li rdf:resource="https://puma.ub.uni-stuttgart.de/tag/hpc"/></rdf:Bag></taxo:topics><burst:publication><rdf:Description rdf:about="https://puma.ub.uni-stuttgart.de/bibtex/224312a954079a07a4488cc88392ef995/diglezakis"><owl:sameAs rdf:resource="/uri/bibtex/224312a954079a07a4488cc88392ef995/diglezakis"/><rdf:type rdf:resource="http://swrc.ontoware.org/ontology#InProceedings"/><owl:sameAs rdf:resource="https://link.springer.com/chapter/10.1007/978-3-319-67008-9_12"/><swrc:date>Fri Feb 16 09:39:19 CET 2018</swrc:date><swrc:booktitle>International Conference on Theory and Practice of Digital Libraries</swrc:booktitle><swrc:organization><swrc:Organization swrc:name="Springer"/></swrc:organization><swrc:pages>140--151</swrc:pages><swrc:title>Challenges of Research Data Management for High Performance Computing</swrc:title><swrc:year>2017</swrc:year><swrc:keywords>forschungsdaten metadata management data simulation obib hpc </swrc:keywords><swrc:abstract>This paper targets the challenges of research data management with a focus on High Performance Computing (HPC) and simulation data. Main challenges are discussed: The Big Data qualities of HPC research data, technical data management, organizational and administrative challenges. Emerging from these challenges, requirements for a feasible HPC research data management are derived and an alternative data life cycle is proposed. The requirement analysis includes recommendations which are based on a modified OAIS architecture: To meet the HPC requirements of a scalable system, metadata and data must not be stored together. Metadata keys are defined and organizational actions are recommended. Moreover, this paper contributes by introducing the role of a Scientific Data Manager, who is responsible for the institution’s data management and taking stewardship of the data.</swrc:abstract><swrc:author><rdf:Seq><rdf:_1><swrc:Person swrc:name="Bj{\&#034;o}rn Schembera"/></rdf:_1><rdf:_2><swrc:Person swrc:name="Thomas B{\&#034;o}nisch"/></rdf:_2></rdf:Seq></swrc:author></rdf:Description></burst:publication></item></rdf:RDF>