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As both combined records of analysis and descriptions of processing steps, workflows should be reproducible, reusable, adaptable, and available. Workflow sharing presents opportunities to reduce unnecessary reinvention, promote reuse, increase access to best practice analyses for non-experts, and increase productivity. In reality, workflows are scattered and difficult to find, in part due to the diversity of available workflow engines and ecosystems, and because workflow sharing is not yet part of research practice. WorkflowHub provides a unified registry for all computational workflows that links to community repositories, and supports both the workflow lifecycle and making workflows findable, accessible, interoperable, and reusable (FAIR). By interoperating with diverse platforms, services, and external registries, WorkflowHub adds value by supporting workflow sharing, explicitly assigning credit, enhancing FAIRness, and promoting workflows as scholarly artefacts. The registry has a global reach, with hundreds of research organisations involved, and more than 800 workflows registered.","annote":"","author":[{"family":"Gustafsson","given":"Ove Johan Ragnar"},{"family":"Wilkinson","given":"Sean R."},{"family":"Bacall","given":"Finn"},{"family":"Soiland-Reyes","given":"Stian"},{"family":"Leo","given":"Simone"},{"family":"Pireddu","given":"Luca"},{"family":"Owen","given":"Stuart"},{"family":"Juty","given":"Nick"},{"family":"Fernández","given":"José M."},{"family":"Brown","given":"Tom"},{"family":"Ménager","given":"Hervé"},{"family":"Grüning","given":"Björn"},{"family":"Capella-Gutierrez","given":"Salvador"},{"family":"Coppens","given":"Frederik"},{"family":"Goble","given":"Carole"}],"citation-label":"gustafsson2025workflowhub","collection-editor":[],"collection-title":"","container-author":[],"container-title":"Scientific Data","documents":[],"edition":"","editor":[],"event-date":{"date-parts":[["2025"]],"literal":"2025"},"event-place":"","id":"48ea7607d3bbd5f89878a24069dd16d2diglezakis","interhash":"4a284e3b181ffc08067121e75f4282f6","intrahash":"48ea7607d3bbd5f89878a24069dd16d2","issue":"1","issued":{"date-parts":[["2025"]],"literal":"2025"},"keyword":"registry forschungsdaten metadata researchObjects tools","misc":{"issn":"20524463","refid":"Gustafsson2025","doi":"10.1038/s41597-025-04786-3"},"note":"","number":"1","page":"837--","page-first":"837","publisher":"","publisher-place":"","status":"","title":"WorkflowHub: a registry for computational workflows","type":"article-journal","username":"diglezakis","version":"","volume":"12"},"1aa8af01670c053a98bb93daa5f48efadiglezakis":{"DOI":"","ISBN":"","ISSN":"","URL":"","abstract":"","annote":"","author":[{"family":"Fritze","given":"Florian"},{"family":"Selent","given":"Björn"},{"family":"Weinspach","given":"Karoline"},{"family":"Roy","given":"Sarbani"},{"family":"Iglezakis","given":"Dorothea"}],"citation-label":"fritze2025efficient","collection-editor":[{"family":"Kling","given":"Philipp"}],"collection-title":"","container-author":[{"family":"Kling","given":"Philipp"}],"container-title":"E-Science-Tage 2025 Research Data Management: Challenges in a Changing World","documents":[],"edition":"","editor":[{"family":"Kling","given":"Philipp"}],"event-date":{"date-parts":[["2025","heiBOOKS"]],"literal":"2025"},"event-place":"","id":"1aa8af01670c053a98bb93daa5f48efadiglezakis","interhash":"cbfc8b722f76bbcf3f4c5f48a6f2cf96","intrahash":"1aa8af01670c053a98bb93daa5f48efa","issue":"","issued":{"date-parts":[["2025","heiBOOKS"]],"literal":"2025"},"keyword":"myown forschungsdaten metadata curation tools","note":"","number":"","page":"","page-first":"","publisher":"","publisher-place":"","status":"","title":"Efficient Data Curation by Automating Workflows","type":"paper-conference","username":"diglezakis","version":"","volume":""},"91bd3f5669297aedbf01e95797b3e19ediglezakis":{"DOI":"10.5281/zenodo.14938279","ISBN":"","ISSN":"","URL":"https://doi.org/10.5281/zenodo.14938279","abstract":"","annote":"","author":[{"family":"Baum","given":"Roman"}],"citation-label":"baum_2025_14938279","collection-editor":[],"collection-title":"","container-author":[],"container-title":"","documents":[],"edition":"","editor":[],"event-date":{"date-parts":[["2025","02"]],"literal":"2025"},"event-place":"","id":"91bd3f5669297aedbf01e95797b3e19ediglezakis","interhash":"cf15428b5e880a915b9fb77a20b879ae","intrahash":"91bd3f5669297aedbf01e95797b3e19e","issue":"","issued":{"date-parts":[["2025","02"]],"literal":"2025"},"keyword":"terminologies forschungsdaten metadata pid tools","misc":{"doi":"10.5281/zenodo.14938279"},"note":"","number":"","page":"","page-first":"","publisher":"Zenodo","publisher-place":"","status":"","title":"Einführung in Terminologien und\r\n                   Terminologiedienste","type":"article","username":"diglezakis","version":"","volume":""},"09f16e8fe25f861e62651d003b10cb6cdiglezakis":{"DOI":"10.1109/AIKE48582.2020.00034","ISBN":"","ISSN":"","URL":"","abstract":"A knowledge graph (KG) is a rich resource representing real-world facts. Visualizing a knowledge graph helps humans gain a deep understanding of the facts, leading to new insights and concepts. However, the massive and complex nature of knowledge graphs has brought many longstanding challenges, especially to attract non-expert users. This paper discusses these challenges; we turned them into a generic knowledge-graph visualization framework, namely KGViz, consisting of four dimensions: modularity, intuitive user interface, performance, and access control. Our implementation of KGViz is a high-capacity, extendable, and scalable KG visualizer, which we designed to promotes community contributions.","annote":"","author":[{"family":"Nararatwong","given":"Rungsiman"},{"family":"Kertkeidkachorn","given":"Natthawut"},{"family":"Ichise","given":"Ryutaro"}],"citation-label":"9355442","collection-editor":[],"collection-title":"","container-author":[],"container-title":"2020 IEEE Third International Conference on Artificial Intelligence and Knowledge Engineering (AIKE)","documents":[],"edition":"","editor":[],"event-date":{"date-parts":[["2020","12"]],"literal":"2020"},"event-place":"","id":"09f16e8fe25f861e62651d003b10cb6cdiglezakis","interhash":"b8943f68661a4ae10db86dcb925d6494","intrahash":"09f16e8fe25f861e62651d003b10cb6c","issue":"","issued":{"date-parts":[["2020","12"]],"literal":"2020"},"keyword":"visualization tools knowledgegraph","misc":{"doi":"10.1109/AIKE48582.2020.00034"},"note":"","number":"","number-of-pages":"4","page":"174-178","page-first":"174","publisher":"","publisher-place":"","status":"","title":"Knowledge Graph Visualization: Challenges, Framework, and Implementation","type":"paper-conference","username":"diglezakis","version":"","volume":""},"28cff38a293a8f2376e3488387b88297diglezakis":{"DOI":"10.1007/s11227-020-03602-6","ISBN":"","ISSN":"15730484","URL":"https://doi.org/10.1007/s11227-020-03602-6","abstract":"The deluge of dark data is about to happen. Lacking data management capabilities, especially in the field of supercomputing, and missing data documentation (i.e., missing metadata annotation) constitute a major source of dark data. The present work contributes to addressing this challenge by presenting ExtractIng, a generic automated metadata extraction toolkit. Existing metadata information of simulation output files scattered through the file system, can be aggregated, parsed and converted to the EngMeta metadata model. Use cases from computational engineering are considered to demonstrate the viability of ExtractIng. The evaluation results show that the metadata extraction is simulation-code independent in the sense that it can handle data outputs from various fields of science, is easy to integrate into simulation workflows and compatible with a multitude of computational environments.","annote":"","author":[{"family":"Schembera","given":"Björn"}],"citation-label":"schembera2021rainbow","collection-editor":[],"collection-title":"","container-author":[],"container-title":"The Journal of Supercomputing","documents":[],"edition":"","editor":[],"event-date":{"date-parts":[["2021"]],"literal":"2021"},"event-place":"","id":"28cff38a293a8f2376e3488387b88297diglezakis","interhash":"b6eac40c2b6d9e29e99c8eece7d9e01b","intrahash":"28cff38a293a8f2376e3488387b88297","issue":"8","issued":{"date-parts":[["2021"]],"literal":"2021"},"keyword":"metadata engmeta tools extraction","misc":{"issn":"15730484","refid":"Schembera2021","doi":"10.1007/s11227-020-03602-6"},"note":"","number":"8","number-of-pages":"20","page":"8946--8966","page-first":"8946","publisher":"","publisher-place":"","status":"","title":"Like a rainbow in the dark: metadata annotation for HPC applications in the age of dark data","type":"article-journal","username":"diglezakis","version":"","volume":"77"},"ca9be2ff967a9fc2f751cf4381e32f44diglezakis":{"DOI":"10.5281/ZENODO.8424794","ISBN":"","ISSN":"","URL":"https://zenodo.org/doi/10.5281/zenodo.8424794","abstract":"","annote":"","author":[{"family":"Selzer","given":"Michael"}],"citation-label":"https://doi.org/10.5281/zenodo.8424794","collection-editor":[],"collection-title":"","container-author":[],"container-title":"","documents":[],"edition":"","editor":[],"event-date":{"date-parts":[["2023"]],"literal":"2023"},"event-place":"","id":"ca9be2ff967a9fc2f751cf4381e32f44diglezakis","interhash":"0ba474968da3f8cca425a19aaa93ca4a","intrahash":"ca9be2ff967a9fc2f751cf4381e32f44","issue":"","issued":{"date-parts":[["2023"]],"literal":"2023"},"keyword":"forschungsdaten software eln tools","misc":{"copyright":"Creative Commons Attribution 4.0 International","language":"en","doi":"10.5281/ZENODO.8424794"},"note":"","number":"","page":"","page-first":"","publisher":"Zenodo","publisher-place":"","status":"","title":"Kadi4Mat - Karlsruhe Data Infrastructure for Materials Science","type":"dataset","username":"diglezakis","version":"","volume":""},"5ec4063de2265c2e33979d8966072816diglezakis":{"DOI":"10.5281/zenodo.555927","ISBN":"","ISSN":"","URL":"https://doi.org/10.5281/zenodo.555927","abstract":"","annote":"","author":[{"family":"Bieliauskas","given":"Stefan"},{"family":"Schreiber","given":"Andreas"}],"citation-label":"stefan_bieliauskas_2017_555927","collection-editor":[],"collection-title":"","container-author":[],"container-title":"","documents":[],"edition":"","editor":[],"event-date":{"date-parts":[["2017","04"]],"literal":"2017"},"event-place":"","id":"5ec4063de2265c2e33979d8966072816diglezakis","interhash":"40418dd0c92a9f6c92f90ca2c6db888d","intrahash":"5ec4063de2265c2e33979d8966072816","issue":"","issued":{"date-parts":[["2017","04"]],"literal":"2017"},"keyword":"forschungsdaten provenance metadata software comics tools javascript","misc":{"version":"v0.1.1","doi":"10.5281/zenodo.555927"},"note":"","number":"","page":"","page-first":"","publisher":"Zenodo","publisher-place":"","status":"","title":"DLR-SC/prov-comics: QS PROV Comics Prototype - Big \r\n                   fixes","type":"dataset","username":"diglezakis","version":"","volume":""},"1aca149185596280b6b09cf94af150d2diglezakis":{"DOI":"","ISBN":"","ISSN":"","URL":"","abstract":"","annote":"","author":[{"family":"Heinrichs","given":"Benedikt"},{"family":"Politze","given":"Marius"}],"citation-label":"heinrichs2020moving","collection-editor":[],"collection-title":"","container-author":[],"container-title":"KDIR","documents":[],"edition":"","editor":[],"event-date":{"date-parts":[["2020"]],"literal":"2020"},"event-place":"","id":"1aca149185596280b6b09cf94af150d2diglezakis","interhash":"dbeed82063ffcac515b64fb4261dac6b","intrahash":"1aca149185596280b6b09cf94af150d2","issue":"","issued":{"date-parts":[["2020"]],"literal":"2020"},"keyword":"forschungsdaten metadata harvesting similarity tools","note":"","number":"","number-of-pages":"7","page":"227--234","page-first":"227","publisher":"","publisher-place":"","status":"","title":"Moving towards a General Metadata Extraction Solution for Research Data with State-of-the-Art Methods.","type":"paper-conference","username":"diglezakis","version":"","volume":""},"57bb64388d481770c99ea94dc2dc8128diglezakis":{"DOI":"10.1016/j.tig.2018.12.006","ISBN":"","ISSN":"01689525","URL":"https://pubmed.ncbi.nlm.nih.gov/30691868","abstract":"Data commons collate data with cloud computing infrastructure and commonly used software services, tools, and applications to create biomedical resources for the large-scale management, analysis, harmonization, and sharing of biomedical data. Over the past few years, data commons have been used to analyze, harmonize, and share large-scale genomics datasets. Data ecosystems can be built by interoperating multiple data commons. It can be quite labor intensive to curate, import, and analyze the data in a data commons. Data lakes provide an alternative to data commons and simply provide access to data, with the data curation and analysis deferred until later and delegated to those that access the data. We review software platforms for managing, analyzing, and sharing genomic data, with an emphasis on data commons, but also cover data ecosystems and data lakes.","annote":"","author":[{"family":"Grossman","given":"Robert L"}],"citation-label":"grossman2019lakes","collection-editor":[],"collection-title":"","container-author":[],"container-title":"Trends in genetics : TIG","documents":[],"edition":"","editor":[],"event-date":{"date-parts":[["2019","03"]],"literal":"2019"},"event-place":"England","id":"57bb64388d481770c99ea94dc2dc8128diglezakis","interhash":"f09e45e3e1587d8b4b1a9afdcd169549","intrahash":"57bb64388d481770c99ea94dc2dc8128","issue":"3","issued":{"date-parts":[["2019","03"]],"literal":"2019"},"keyword":"forschungsdaten definition tools","misc":{"issn":"01689525","comment":"30691868[pmid]\r\nPMC6474403[pmcid]","doi":"10.1016/j.tig.2018.12.006"},"note":"","number":"3","number-of-pages":"11","page":"223--234","page-first":"223","publisher":"","publisher-place":"England","status":"","title":"Data Lakes, Clouds, and Commons: A Review of Platforms for Analyzing and Sharing Genomic Data","type":"article-journal","username":"diglezakis","version":"","volume":"35"},"714dca46376651961024e72878db421ediglezakis":{"DOI":"10.1093/bib/bbp073","ISBN":"","ISSN":"","URL":"","abstract":"","annote":"","author":[{"family":"Richmond","given":"Paul"},{"family":"Walker","given":"Dawn"},{"family":"Coakley","given":"Simon"},{"family":"Romano","given":"Daniela"}],"citation-label":"richmond2010high","collection-editor":[],"collection-title":"","container-author":[],"container-title":"Briefings in bioinformatics","documents":[],"edition":"","editor":[],"event-date":{"date-parts":[["2010"]],"literal":"2010"},"event-place":"","id":"714dca46376651961024e72878db421ediglezakis","interhash":"07b8aade355592acdee2e9d30dfeefe2","intrahash":"714dca46376651961024e72878db421e","issue":"3","issued":{"date-parts":[["2010"]],"literal":"2010"},"keyword":"simulations tools","misc":{"doi":"10.1093/bib/bbp073"},"note":"","number":"3","number-of-pages":"13","page":"334--347","page-first":"334","publisher":"Oxford Univ Press","publisher-place":"","status":"","title":"High performance cellular level agent-based simulation with FLAME for the GPU","type":"article-journal","username":"diglezakis","version":"","volume":"11"},"bc429c4fbbc04bfa4eaf525e53aae7e4diglezakis":{"DOI":"10.1063/5.0019541","ISBN":"","ISSN":"","URL":"/brokenurl#         https://doi.org/10.1063/5.0019541","abstract":"In this paper, a modular and open micro X-ray Computed Tomography (μXRCT) system is presented, which was set up during the last years at the Institute of Applied Mechanics (CE) of the University of Stuttgart and earlier at the Institute of Computational Engineering of Ruhr-University Bochum. The system is characterized by its intrinsic flexibility resulting from the modular and open design on each level and the opportunity to implement advanced experimental in situ setups. On the one hand, the presented work is intended to support researchers interested in setting up an experimental XRCT system for the microstructural characterization of materials. On the other hand, it aims to support scientists confronted with the decision to set up a system on their own or to buy a commercial scanner. In addition to the presentation of the various hardware components and the applied modular software concept, the technical opportunities of the open and modular hard- and software design are demonstrated by implementing a simple and reliable method for the compensation of bad detector pixels to enhance the raw data quality of the projections. A detailed investigation of the performance of the presented system with regard to the achievable spatial resolution is presented. XRCT datasets of three different applications are finally shown and discussed, demonstrating the wide scope of options of the presented system.","annote":"","author":[{"family":"Ruf","given":"Matthias"},{"family":"Steeb","given":"Holger"}],"citation-label":"doi:10.1063/5.0019541","collection-editor":[],"collection-title":"","container-author":[],"container-title":"Review of Scientific Instruments","documents":[],"edition":"","editor":[],"event-date":{"date-parts":[["2020"]],"literal":"2020"},"event-place":"","id":"bc429c4fbbc04bfa4eaf525e53aae7e4diglezakis","interhash":"9548cdcf6f6bf2309ec127bbd90be068","intrahash":"bc429c4fbbc04bfa4eaf525e53aae7e4","issue":"11","issued":{"date-parts":[["2020"]],"literal":"2020"},"keyword":"sfb1313 x-ray relatedpublication tools","misc":{"eprint":"https://doi.org/10.1063/5.0019541","doi":"10.1063/5.0019541"},"note":"","number":"11","page":"113102","page-first":"113102","publisher":"","publisher-place":"","status":"","title":"An open, modular, and flexible micro X-ray computed tomography system for research","type":"article-journal","username":"diglezakis","version":"","volume":"91"},"28b301e3b1917db6beaf11d9deb3d44adiglezakis":{"DOI":"","ISBN":"","ISSN":"","URL":"","abstract":"","annote":"","author":[{"family":"Koch","given":"Timo"},{"family":"Gläser","given":"Dennis"},{"family":"Seeland","given":"Anett"},{"family":"Roy","given":"Sarbani"},{"family":"Schulze","given":"Katharina"},{"family":"Weishaupt","given":"Kilian"},{"family":"Boehringer","given":"David"},{"family":"Hermann","given":"Sibylle"},{"family":"Flemisch","given":"Bernd"}],"citation-label":"koch2023sustainable","collection-editor":[],"collection-title":"","container-author":[],"container-title":"","documents":[],"edition":"","editor":[],"event-date":{"date-parts":[["2023"]],"literal":"2023"},"event-place":"","id":"28b301e3b1917db6beaf11d9deb3d44adiglezakis","interhash":"a50cbce91930627b33c1f67316883fe1","intrahash":"28b301e3b1917db6beaf11d9deb3d44a","issue":"","issued":{"date-parts":[["2023"]],"literal":"2023"},"keyword":"forschungsdaten software tools repository","misc":{"eprint":"2301.12830","archiveprefix":"arXiv","primaryclass":"cs.SE"},"note":"","number":"","page":"","page-first":"","publisher":"","publisher-place":"","status":"","title":"A sustainable infrastructure concept for improved accessibility, reusability, and archival of research software","type":"article","username":"diglezakis","version":"","volume":""},"5783f26516839699e25dd7e4a9b69bfddiglezakis":{"DOI":"10.11588/HEIBOOKS.979.C13737","ISBN":"","ISSN":"","URL":"https://books.ub.uni-heidelberg.de/index.php/heibooks/catalog/book/979/c13737","abstract":"","annote":"","author":[{"family":"Hirsch","given":"Markus"},{"family":"Iglezakis","given":"Dorothea"},{"family":"Leymann","given":"Frank"},{"family":"Zimmermann","given":"Michael"}],"citation-label":"https://doi.org/10.11588/heibooks.979.c13737","collection-editor":[],"collection-title":"","container-author":[],"container-title":"E-Science-Tage 2021: Share Your Research Data","documents":[],"edition":"","editor":[],"event-date":{"date-parts":[["2022"]],"literal":"2022"},"event-place":"","id":"5783f26516839699e25dd7e4a9b69bfddiglezakis","interhash":"16f506bbd6a7813fb8bcd0dbd0298f8b","intrahash":"5783f26516839699e25dd7e4a9b69bfd","issue":"","issued":{"date-parts":[["2022"]],"literal":"2022"},"keyword":"myown forschungsdaten metadata software tools repository","misc":{"doi":"10.11588/HEIBOOKS.979.C13737"},"note":"","number":"","number-of-pages":"9","page":"267-276","page-first":"267","publisher":"heiBOOKS","publisher-place":"","status":"","title":"The ReSUS Project - Infrastructure for Sharing Research Software","type":"chapter","username":"diglezakis","version":"","volume":""},"b753181482bd2ef2ce512c73fd0f7eb3diglezakis":{"DOI":"","ISBN":"","ISSN":"","URL":"https://openreview.net/forum?id=PoAI5RrlUFj","abstract":"Shared vocabularies and ontologies are essential for many applications. Although standards and recommendations already cover many areas, adaptations are usually necessary to represent concrete use-cases properly. Domain experts are unfamiliar with ontology engineering, which creates special requirements for needed tool support. Simple sketch applications are usually too imprecise, while comprehensive ontology editors are often too complicated for non-experts. We present Neologism 2.0 - an open-source tool for quick vocabulary creation through domain experts. Its guided vocabulary creation and its collaborative graph editor enable the quick creation of proper vocabularies, even for non-experts, and dramatically reduces the time and effort to draft vocabularies collaboratively. An RDF export allows quick bootstrapping of any other Semantic Web tool.","annote":"","author":[{"family":"Lipp","given":"Johannes"},{"family":"Gleim","given":"Lars"},{"family":"Cochez","given":"Michael"},{"family":"Dimitriadis","given":"Iraklis"},{"family":"Ali","given":"Hussain"},{"family":"Alvarez","given":"Daniel Hoppe"},{"family":"Lange","given":"Christoph"},{"family":"Decker","given":"Stefan"}],"citation-label":"lipp2021towards","collection-editor":[],"collection-title":"","container-author":[],"container-title":"ESWC2021 Poster and Demo Track","documents":[],"edition":"","editor":[],"event-date":{"date-parts":[["2021"]],"literal":"2021"},"event-place":"","id":"b753181482bd2ef2ce512c73fd0f7eb3diglezakis","interhash":"c87c07be01a1933901011d770fb1cde2","intrahash":"b753181482bd2ef2ce512c73fd0f7eb3","issue":"","issued":{"date-parts":[["2021"]],"literal":"2021"},"keyword":"metadata ontologie tools","note":"","number":"","page":"","page-first":"","publisher":"","publisher-place":"","status":"","title":"Towards Easy Vocabulary Drafts with Neologism 2.0","type":"paper-conference","username":"diglezakis","version":"","volume":""},"a5c89b6545b23c60bfc4e6d6dc1e603cdiglezakis":{"DOI":"10.17192/bfdm.2020.2.8283","ISBN":"","ISSN":"","URL":"https://bausteine-fdm.de/article/view/8283","abstract":"","annote":"","author":[{"family":"Helbig","given":"Kerstin"},{"family":"Anders","given":"Ivonne"},{"family":"Buchholz","given":"Petra"},{"family":"Favella","given":"Gianpiero"},{"family":"Hausen","given":"Daniela"},{"family":"Hendriks","given":"Sonja"},{"family":"Klar","given":"Jochen"},{"family":"Krause","given":"Evamaria"},{"family":"Paul-Stüve","given":"Thilo"},{"family":"Peters","given":"Karsten"},{"family":"Rathmann","given":"Torsten"},{"family":"Rehwald","given":"Stephanie"},{"family":"Rex","given":"Jessica"},{"family":"Soßna","given":"Volker"},{"family":"Sperling","given":"Johannes"},{"family":"Strauch","given":"Annette"},{"family":"Voigt","given":"Pia"}],"citation-label":"Helbig_Anders_Buchholz_Favella_Hausen_Hendriks_Klar_Krause_Paul-Stüve_Peters_Rathmann_Rehwald_Rex_Soßna_Sperling_Strauch_Voigt_2020","collection-editor":[],"collection-title":"","container-author":[],"container-title":"Bausteine Forschungsdatenmanagement","documents":[],"edition":"","editor":[],"event-date":{"date-parts":[["2020","Okt."]],"literal":"2020"},"event-place":"","id":"a5c89b6545b23c60bfc4e6d6dc1e603cdiglezakis","interhash":"9b9e42ef6af0685c0d6970d00129582b","intrahash":"a5c89b6545b23c60bfc4e6d6dc1e603c","issue":"2","issued":{"date-parts":[["2020","Okt."]],"literal":"2020"},"keyword":"checklisten forschungsdaten dmp tools","misc":{"abstractnote":"<p>Die nachfolgenden Empfehlungen beschreiben die Erfahrungen und Best Practices der Mitglieder der <a href="https://www.forschungsdaten.org/index.php/UAG_Datenmanagementpläne">Unterarbeitsgruppe “Datenmanagementpläne”</a> der <a href="https://dini.de/ag/dininestor-ag-forschungsdaten/">DINI/nestor-AG Forschungsdaten</a>. Sie sollen als Orientierungs- und Arbeitshilfe dienen und beschreiben mögliche Vorgehensweisen vor, während sowie nach einem Beratungstermin zu Datenmanagementplänen (DMP). Es wird auf die Bedeutung der Anforderungen der Forschungsförderer hingewiesen. Außerdem werden Checklisten, DMP-Templates und -Tools benannt sowie auf einzelne Unterschiede eingegangen. Einen weiteren wichtigen Punkt im Forschungsdatenmanagement und damit auch im DMP stellt die Kostenkalkulation dar. Zum Schluss wird auf die Evaluation von DMPs eingegangen, um die Qualität des DMPs zu prüfen, aus vorangegangenen DMPs zu lernen und die Beratung stetig zu verbessern.</p>","place":"German","doi":"10.17192/bfdm.2020.2.8283"},"note":"","number":"2","number-of-pages":"11","page":"29–40","page-first":"29","publisher":"","publisher-place":"","status":"","title":"Erfahrungen und Empfehlungen aus der Beratung bei Datenmanagementplänen","type":"article-journal","username":"diglezakis","version":"","volume":""},"04c6a0c5e18cb4a6762d493dcfa3a27ediglezakis":{"DOI":"","ISBN":"","ISSN":"2666-8092","URL":"https://www.jolts.world/index.php/jolts/article/view/123","abstract":"","annote":"","author":[{"family":"Jaeger","given":"Michael C."},{"family":"Fendt","given":"Oliver"},{"family":"Gobeille","given":"Robert"},{"family":"Huber","given":"Maximilian"},{"family":"Najjar","given":"Johannes"},{"family":"Stewart","given":"Kate"},{"family":"Weber","given":"Steffen"},{"family":"Würl","given":"Andreas"}],"citation-label":"jaeger2018fossology","collection-editor":[],"collection-title":"","container-author":[],"container-title":"Journal of Open Law, Technology & Society","documents":[],"edition":"","editor":[],"event-date":{"date-parts":[["2018"]],"literal":"2018"},"event-place":"","id":"04c6a0c5e18cb4a6762d493dcfa3a27ediglezakis","interhash":"540fc92633935a1aa48aed42893e0023","intrahash":"04c6a0c5e18cb4a6762d493dcfa3a27e","issue":"1","issued":{"date-parts":[["2018"]],"literal":"2018"},"keyword":"software tools licensing","misc":{"eissn":"2666-8106","issn":"2666-8092"},"note":"","number":"1","number-of-pages":"9","page":"9-18","page-first":"9","publisher":"","publisher-place":"","status":"","title":"The FOSSology Project: 10 Years Of License Scanning","type":"article-journal","username":"diglezakis","version":"","volume":"9"},"89b88eb3feb85e97a970bd606d979e78diglezakis":{"DOI":"10.1007/978-3-319-13674-5_19","ISBN":"","ISSN":"","URL":"","abstract":"","annote":"","author":[{"family":"Amorim","given":"Ricardo"},{"family":"Aguiar Castro","given":"João"},{"family":"Rocha","given":"João"},{"family":"Ribeiro","given":"Cristina"}],"citation-label":"inproceedings","collection-editor":[],"collection-title":"","container-author":[],"container-title":"Communications in Computer and Information Science","documents":[],"edition":"","editor":[],"event-date":{"date-parts":[["2014","11"]],"literal":"2014"},"event-place":"","id":"89b88eb3feb85e97a970bd606d979e78diglezakis","interhash":"6b95aa7fa053f45d56eebe5cd84a28cc","intrahash":"89b88eb3feb85e97a970bd606d979e78","issue":"","issued":{"date-parts":[["2014","11"]],"literal":"2014"},"keyword":"forschungsdaten metadata ontologie eln tools","misc":{"doi":"10.1007/978-3-319-13674-5_19"},"note":"","number":"","number-of-pages":"12","page":"193-205","page-first":"193","publisher":"","publisher-place":"","status":"","title":"LabTablet: Semantic Metadata Collection on a Multi-domain Laboratory Notebook","type":"paper-conference","username":"diglezakis","version":"","volume":"478"},"a01fba3c690fedfaaa51e2be254cafb6diglezakis":{"DOI":"https://doi.org/10.1007/s11227-020-03602-6","ISBN":"","ISSN":"","URL":"https://link.springer.com/article/10.1007/s11227-020-03602-6","abstract":"The deluge of dark data is about to happen. Lacking data management capabilities, especially in the field of supercomputing, and missing data documentation (i.e., missing metadata annotation) constitute a major source of dark data. The present work contributes to addressing this challenge by presenting ExtractIng, a generic automated metadata extraction toolkit. Existing metadata information of simulation output files scattered through the file system, can be aggregated, parsed and converted to the EngMeta metadata model. Use cases from computational engineering are considered to demonstrate the viability of ExtractIng. The evaluation results show that the metadata extraction is simulation-code independent in the sense that it can handle data outputs from various fields of science, is easy to integrate into simulation workflows and compatible with a multitude of computational environments.","annote":"","author":[{"family":"Schembera","given":"Björn"}],"citation-label":"schembera2021rainbow","collection-editor":[{"family":"Arabnia","given":"Hamid"}],"collection-title":"","container-author":[{"family":"Arabnia","given":"Hamid"}],"container-title":"The Journal of Supercomputing","documents":[],"edition":"","editor":[{"family":"Arabnia","given":"Hamid"}],"event-date":{"date-parts":[["2021"]],"literal":"2021"},"event-place":"","id":"a01fba3c690fedfaaa51e2be254cafb6diglezakis","interhash":"b6eac40c2b6d9e29e99c8eece7d9e01b","intrahash":"a01fba3c690fedfaaa51e2be254cafb6","issue":"","issued":{"date-parts":[["2021"]],"literal":"2021"},"keyword":"forschungsdaten hpc-computing metadata tools automated","misc":{"doi":"https://doi.org/10.1007/s11227-020-03602-6"},"note":"","number":"","page":"","page-first":"","publisher":"","publisher-place":"","status":"","title":"Like a rainbow in the dark: metadata annotation for HPC applications in the age of dark data","type":"article-journal","username":"diglezakis","version":"","volume":""}}