references.bib

@ARTICLE{Wilkinson2016-lh,
  title     = "The {FAIR} Guiding Principles for scientific data management and
               stewardship",
  author    = "Wilkinson, Mark D and Dumontier, Michel and Aalbersberg,
               Ijsbrand Jan and Appleton, Gabrielle and Axton, Myles and Baak,
               Arie and Blomberg, Niklas and Boiten, Jan-Willem and da Silva
               Santos, Luiz Bonino and Bourne, Philip E and Bouwman, Jildau and
               Brookes, Anthony J and Clark, Tim and Crosas, Merc{\`e} and
               Dillo, Ingrid and Dumon, Olivier and Edmunds, Scott and Evelo,
               Chris T and Finkers, Richard and Gonzalez-Beltran, Alejandra and
               Gray, Alasdair J G and Groth, Paul and Goble, Carole and Grethe,
               Jeffrey S and Heringa, Jaap and 't Hoen, Peter A C and Hooft,
               Rob and Kuhn, Tobias and Kok, Ruben and Kok, Joost and Lusher,
               Scott J and Martone, Maryann E and Mons, Albert and Packer, Abel
               L and Persson, Bengt and Rocca-Serra, Philippe and Roos, Marco
               and van Schaik, Rene and Sansone, Susanna-Assunta and Schultes,
               Erik and Sengstag, Thierry and Slater, Ted and Strawn, George
               and Swertz, Morris A and Thompson, Mark and van der Lei, Johan
               and van Mulligen, Erik and Velterop, Jan and Waagmeester, Andra
               and Wittenburg, Peter and Wolstencroft, Katherine and Zhao, Jun
               and Mons, Barend",
  abstract  = "AbstractThere is an urgent need to improve the infrastructure
               supporting the reuse of scholarly data. A diverse set of
               stakeholders---representing academia, industry, funding
               agencies, and scholarly publishers---have come together to
               design and jointly endorse a concise and measureable set of
               principles that we refer to as the FAIR Data Principles. The
               intent is that these may act as a guideline for those wishing to
               enhance the reusability of their data holdings. Distinct from
               peer initiatives that focus on the human scholar, the FAIR
               Principles put specific emphasis on enhancing the ability of
               machines to automatically find and use the data, in addition to
               supporting its reuse by individuals. This Comment is the first
               formal publication of the FAIR Principles, and includes the
               rationale behind them, and some exemplar implementations in the
               community.",
  journal   = "Sci. Data",
  publisher = "Springer Science and Business Media LLC",
  volume    =  3,
  number    =  1,
  pages     = "160018",
  month     =  mar,
  year      =  2016,
  copyright = "https://creativecommons.org/licenses/by/4.0",
  language  = "en"
}

@misc{bres_2024_11147887,
  author       = {Bres, Ewa Elizabeth and
                  Bittner, Christian},
  title        = {{A collection of AI generated images visualising 
                   various RDM aspects}},
  month        = jun,
  year         = 2024,
  publisher    = {Zenodo},
  version      = {1.0.0},
  doi          = {10.5281/zenodo.11147887},
  url          = {https://doi.org/10.5281/zenodo.11147887}
}