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Library Ideas # 23: Forschungsdaten. Metadaten. Noch mehr Daten. Forschungsdatenmanagement", "year": "2013", "url": "", "author": [ "Claudia Engelhardt" ], "authors": [ {"first" : "Claudia", "last" : "Engelhardt"} ], "pages": "106--130", "doi" : "http://dx.doi.org/10.18452/9045", "bibtexKey": "Engelhardt2013Forschungsdatenmanagement" } , { "type" : "Publication", "id" : "https://puma.ub.uni-stuttgart.de/bibtex/26ead8b362af6e29f42225c4a4b712c95/diglezakis", "tags" : [ "data","dataverse","forschungsdaten","statistics","tools","visualization" ], "intraHash" : "6ead8b362af6e29f42225c4a4b712c95", "interHash" : "832232a507428484cc9aedf97bcce01b", "label" : "Statistical Modeling by Gesture: A graphical, Browser-based Statistical Interface for Data Repositories.", "user" : "diglezakis", "description" : "TwoRavens: Analyse und Visualisierung tabellarischer Daten", "date" : "2018-11-19 08:40:13", "changeDate" : "2018-11-19 07:40:47", "count" : 2, "pub-type": "inproceedings", "booktitle": "HT (Doctoral Consortium / Late-breaking Results / Workshops)","series": "CEUR Workshop Proceedings","publisher":"CEUR-WS.org", "year": "2014", "url": "http://dblp.uni-trier.de/db/conf/ht/ht2014dc.html#HonakerD14", "author": [ "James Honaker","Vito D'Orazio" ], "authors": [ {"first" : "James", "last" : "Honaker"}, {"first" : "Vito", "last" : "D'Orazio"} ], "editor": [ "Federica Cena","Altigran Soares da Silva","Christoph Trattner" ], "editors": [ {"first" : "Federica", "last" : "Cena"}, {"first" : "Altigran Soares", "last" : "da Silva"}, {"first" : "Christoph", "last" : "Trattner"} ], "volume": "1210", "ee" : "http://ceur-ws.org/Vol-1210/datawiz2014_05.pdf", "bibtexKey": "conf/ht/HonakerD14" } , { "type" : "Publication", "id" : "https://puma.ub.uni-stuttgart.de/bibtex/2b0a837dfc15c2179311677c83e7fe619/diglezakis", "tags" : [ "citation","data","forschungsdaten" ], "intraHash" : "b0a837dfc15c2179311677c83e7fe619", "interHash" : "722b8037e31c2cdab1cdb87ffa1a29b2", "label" : "A Data Citation Roadmap for Scholarly Data Repositories", "user" : "diglezakis", "description" : "A Data Citation Roadmap for Scholarly Data Repositories | bioRxiv", "date" : "2018-06-05 11:14:16", "changeDate" : "2018-06-05 09:14:16", "count" : 1, "pub-type": "article", "journal": "bioRxiv","publisher":"Cold Spring Harbor Laboratory", "year": "2017", "url": "https://www.biorxiv.org/content/early/2017/10/09/097196", "author": [ "Martin Fenner","Mercè Crosas","Jeffrey Grethe","David Kennedy","Henning Hermjakob","Philippe Rocca-Serra","Gustavo Durand","Robin Berjon","Sebastian Karcher","Maryann Martone","Timothy Clark" ], "authors": [ {"first" : "Martin", "last" : "Fenner"}, {"first" : "Mercè", "last" : "Crosas"}, {"first" : "Jeffrey", "last" : "Grethe"}, {"first" : "David", "last" : "Kennedy"}, {"first" : "Henning", "last" : "Hermjakob"}, {"first" : "Philippe", "last" : "Rocca-Serra"}, {"first" : "Gustavo", "last" : "Durand"}, {"first" : "Robin", "last" : "Berjon"}, {"first" : "Sebastian", "last" : "Karcher"}, {"first" : "Maryann", "last" : "Martone"}, {"first" : "Timothy", "last" : "Clark"} ], "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.", "doi" : "10.1101/097196", "eprint" : "https://www.biorxiv.org/content/early/2017/10/09/097196.full.pdf", "bibtexKey": "Fenner097196" } , { "type" : "Publication", "id" : "https://puma.ub.uni-stuttgart.de/bibtex/224312a954079a07a4488cc88392ef995/diglezakis", "tags" : [ "data","forschungsdaten","hpc","management","metadata","obib","simulation" ], "intraHash" : "24312a954079a07a4488cc88392ef995", "interHash" : "da85dbed0522ad7ae1cad483bacb645e", "label" : "Challenges of Research Data Management for High Performance Computing", "user" : "diglezakis", "description" : "", "date" : "2018-02-16 09:39:19", "changeDate" : "2018-02-16 08:39:19", "count" : 2, "pub-type": "inproceedings", "booktitle": "International Conference on Theory and Practice of Digital Libraries", "year": "2017", "url": "https://link.springer.com/chapter/10.1007/978-3-319-67008-9_12", "author": [ "Björn Schembera","Thomas Bönisch" ], "authors": [ {"first" : "Björn", "last" : "Schembera"}, {"first" : "Thomas", "last" : "Bönisch"} ], "pages": "140--151","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\u2019s data management and taking stewardship of the data.", "bibtexKey": "schembera2017challenges" } ] }