Zobrazeno 1 - 10
of 61
pro vyhledávání: '"Tomasz Miksa"'
Autor:
Sebastian Netscher, Daniela Hausen, Chris Wiley, Ivonne Anders, Kevin Ashley, Christin Henzen, Sarah Jones, Tomasz Miksa, Maria Praetzellis
Publikováno v:
Data Science Journal, Vol 23, Pp 16-16 (2024)
The Special Collection Data Management Planning across Disciplines and Infrastructures of the Data Science Journal consists of papers describing practical experiences, concepts, and future directions on the design and deployment of effective data man
Externí odkaz:
https://doaj.org/article/441c10c66e4942edb349939467e49c8d
Autor:
Alexander Bardel, Ilire Hasani-Mavriqi, Claire Jean-Quartier, Peter Schaffer, Therese Macher, Tereza Kalová, Michael Feichtinger, Monika Bargmann, Barbara Sanchez Solis, Christiane Stork, Tomasz Miksa, Florina Piroi
Publikováno v:
Zeitschrift für Hochschulentwicklung, Vol 18, Iss Sonderheft Forschung (2023)
Within the FAIR Data Austria project, supported by the Federal Ministry for Education, Science, and Research (BMBWF), a national strategy has been established to advance the creation of tailored Data Stewardship solutions for the Austrian context. Th
Externí odkaz:
https://doaj.org/article/82cd4841c5354163b0f6c7833bf8dd16
Autor:
João Cardoso, Leyla J. Castro, Fajar J. Ekaputra, Marie C. Jacquemot, Marek Suchánek, Tomasz Miksa, José Borbinha
Publikováno v:
Journal of Biomedical Semantics, Vol 13, Iss 1, Pp 1-12 (2022)
Abstract The concept of Data Management Plan (DMP) has emerged as a fundamental tool to help researchers through the systematical management of data. The Research Data Alliance DMP Common Standard (DCS) working group developed a set of universal conc
Externí odkaz:
https://doaj.org/article/8e7fe7eeaf774a9da8a532530fe99660
Autor:
Alex Hofmann, Tomasz Miksa, Peter Knees, Asztrik Bakos, Hande Sağlam, Ardian Ahmedaja, Boonsit Yimwadsana, Clare Chan, Andreas Rauber
Publikováno v:
Empirical Musicology Review, Vol 16, Iss 1, Pp 47-64 (2021)
Recordings of musical practices are kept in various public institutions and private depositories around the world. They constitute valuable data for ethnomusicological research and are substantial for the world's musical heritage. At the moment, ther
Externí odkaz:
https://doaj.org/article/5d85c61b29bf455ba1706ab8aba63629
Autor:
Tomasz Miksa, Marek Suchánek, Jan Slifka, Vojtech Knaisl, Fajar J. Ekaputra, Filip Kovacevic, Annisa Maulida Ningtyas, Alaa El-Ebshihy, Robert Pergl
Publikováno v:
Data Science Journal, Vol 22, Pp 28-28 (2023)
Most research funders require Data Management Plans (DMPs). The review process can be time consuming, since reviewers read text documents submitted by researchers and provide their feedback. Moreover, it requires specific expert knowledge in data ste
Externí odkaz:
https://doaj.org/article/5e38c1d798e549e38e1cfd8e22af2691
Publikováno v:
Data Science Journal, Vol 20, Iss 1 (2021)
The common standard for machine-actionable Data Management Plans (DMPs) allows for automatic exchange, integration, and validation of information provided in DMPs. In this paper, we report on the hackathon organised by the Research Data Alliance in w
Externí odkaz:
https://doaj.org/article/b733c7a3df3847189f5f15e4c18ed2e0
Autor:
Tomasz Miksa, Paul Walk, Peter Neish, Simon Oblasser, Hollydawn Murray, Tom Renner, Marie-Christine Jacquemot-Perbal, João Cardoso, Trond Kvamme, Maria Praetzellis, Marek Suchánek, Rob Hooft, Benjamin Faure, Hanne Moa, Adil Hasan, Sarah Jones
Publikováno v:
Data Science Journal, Vol 20, Iss 1 (2021)
This paper presents the application profile for machine-actionable data management plans that allows information from traditional data management plans to be expressed in a machine-actionable way. We describe the methodology and research conducted to
Externí odkaz:
https://doaj.org/article/9652c10f5bfb425fa6044e53b56d1994
Autor:
Andreas Rauber, Bernhard Gößwein, Carlo Maria Zwölf, Chris Schubert, Florian Wörister, James Duncan, Katharina Flicker, Koji Zettsu, Kristof Meixner, Leslie D. McIntosh, Reyna Jenkyns, Stefan Pröll, Tomasz Miksa, Mark A. Parsons
Publikováno v:
Harvard Data Science Review, Vol 3, Iss 4 (2021)
Externí odkaz:
https://doaj.org/article/d5d5fc08391b4cfeb68e191ee3d85bfb
Publikováno v:
Mitteilungen der Vereinigung Österreichischer Bibliothekarinnen und Bibliothekare, Vol 72, Iss 2, Pp 365-372 (2019)
Research Data Alliance Austria (RDA-AT) is a national RDA node dedicated to representing emerging research and data management communities throughout Austria. RDA-AT will operate as a formal participant of RDA Europe and RDA Global, linking Austrian
Externí odkaz:
https://doaj.org/article/709a0c4f9fb94f9baea892659ab3fab3
Publikováno v:
Mitteilungen der Vereinigung Österreichischer Bibliothekarinnen und Bibliothekare, Vol 70, Iss 3-4, Pp 382-389 (2017)
Im November 2017 fand an der Universität Wien der RDA Europe Workshop „From Planning to Action. Towards the Establishment of an Austrian Research Infrastructure“ mit Unterstützung von RDA Europe, der Technischen Universität Wien und der Univer
Externí odkaz:
https://doaj.org/article/99552def4f3946baab0021bcdb0456d3