This is a demonstration project inspired by the BagIt standard for storage and network transfer of arbitrary digital content, including research data.

With research datasets represented as “Bags” with metadata in the bag-info.txt file, and the pointers to the actual data files on a download server listed in the fetch.txt file, writing a repository server becomes relatively simple. This project is an exploration into such a research data repository server.

At this moment it only includes a few examples with the BagIt metadata format; most of the examples here use various metadata schemas from other repositories. In the future I can imagine that tools could be implemented to convert the repository specific metadata (and manifest file list) to the BagIt specification.

BagIt datasets

• John Doe (2019): This is an example of a BagIt container that is also a Research Object.. Example inc.. (dataset).
• Stian Soiland-Reyes (2018): Research Object of CWL workflow run. . (dataset).

Radboud datasets

• Rap, D.B.; Johanna G.M. Schrauwen; Aravindh N. Marimuthu; Britta Redlich; Brünken, S. (2022): Rap, Nat. Astron.. Version 1. Radboud University. (dataset). https://doi.org/10.34973/m9mn-d172
• Meyer, M.; Jo van Schaik; Poli, F.; Hunnius, S. (2022): How infant-directed actions enhance infants’ attention, learning, and exploration. Version 1. Radboud University. (dataset). https://doi.org/10.34973/0egj-ky51
• Oppatja, J. (2023): Bijlagen bij 'Conclusies in civiele cassatiezaken: een systematische analyse'. Version 1. Radboud University. (dataset). https://doi.org/10.34973/acny-fp45
• Asuman Senol; Acar, Gunes; Mathias Humbert; Frederik Zuiderveen Borgesius (2022): Leaky Forms: A Study of Email and Password Exfiltration Before Form Submission (USENIX Security'22). Version 1. Radboud University. (dataset). https://doi.org/10.34973/g31y-n884
• Flora Vanlangendonck; Willems, R.M.; Hagoort, P. (2018): Taking common ground into account: Specifying the role of the mentalizing network in communicative language production. Version 1. Radboud University. (dataset). https://doi.org/10.34973/56bj-vt72
• Wang, X.; Aalbers, H.L. (2023): FINDER - Effective strategies & policies for enhanced social payoff, during and after digital transformation. Version 1. Radboud University. (dataset). https://doi.org/10.34973/g346-3357

Zenodo datasets

• Britta Westner (2023): PracticalMEEG2022: MNE-python hands-on tutorial. Version 2. Zenodo. (dataset). https://doi.org/10.5281/zenodo.7602381
• Pascarella, Annalisa (2023): CuttingGardens2023: Genova garden presentations. Version 1. Zenodo. (dataset). https://doi.org/10.5281/zenodo.10076016
• Robert Oostenveld (2022): Donders-Institute/online-theta-monitoring: First public release. Version 1. Zenodo. (dataset). https://doi.org/10.5281/zenodo.6790112

OpenNeuro datasets

• Sean Paulsen; Michael A. Casey (2023): Shanxi Enculturation. OpenNeuro. (dataset). https://doi.org/10.18112/openneuro.ds004866.v1.0.0
• Haydn G. Herrema; Michael J. Kahana (2023): pyFR: Delayed Free Recall of Word Lists, Preliminary Cognitive Electrophysiology Study. OpenNeuro. (dataset). https://doi.org/10.18112/openneuro.ds004865.v1.0.1
• Janine Mendola; Elizabeth Bock (2019): Rivalry Tagging. OpenNeuro. (dataset). https://doi.org/10.18112/openneuro.ds002001.v1.0.0
• Kazuki Sakakura; Eishi Asano (2023): iEEG on children during Stroop task. OpenNeuro. (dataset). https://doi.org/10.18112/openneuro.ds004859.v1.0.0

DataverseNL datasets

• Heunis, Stephan (2020): rt-me-fMRI: A task and resting state dataset for real-time, multi-echo fMRI methods development and validation. DataverseNL. (dataset). https://doi.org/10.34894/R1TNL8
• Revers, Hans; Vroomen, Jean; Van Deun, Katrijn; Bastiaansen, Marcel (2023): EEG responses to facial attractiveness, with ERP cluster analysis and MVPA classification. DataverseNL. (dataset). https://doi.org/10.34894/9L4IV4
• Stulp, Gert (2023): Materials for A data-driven approach shows that individuals’ characteristics are more important than their networks in predicting fertility preferences. DataverseNL. (dataset). https://doi.org/10.34894/UKAWZM
• Zhiyong Lei (2023): Vitamin C facilitates direct cardiac reprogramming by inhibiting reactive oxygen species. DataverseNL. (dataset). https://doi.org/10.34894/EZRRDE

Yoda datasets

• Malika Menoud; Thomas Röckmann; Carina van der Veen; Julianne Fernandez; Semra Bakkaloglu; David Lowry; James France; Rebecca Fisher; Hossein Maazallahi; Piotr Korbeń; Martina Schmidt; Mila Stanisavljević; Jaroslaw Necki; Patryk Łakomiec; Janne Rinne; Sara Defratyka; Camille Yver-Kwok; Katarina Vinkovic; Truls Andersen; Huilin Chen (2021): The European methane isotope database coupled with a global inventory of fossil and non-fossil δ13C- and δ2H-CH4 source signature measurements. Version v1.0.0. University Utrecht. (dataset).
• Vincent Buskens; Jeroen Weesie (1997): An Experiment on the Effects of Embeddedness in Trust Situations. Version 1.0. University Utrecht. (dataset).
• Dennie van Dolder; Vincent Buskens (2007): Individual Choices in Dynamic Networks. Version 1.0. University Utrecht. (dataset).

4TU datasets

• Leonardo Fazio (2018): fMRI data of apathy studies of healthy subjects. 4TU.ResearchData. (dataset). https://doi.org/10.4121/uuid:d5ec1a8a-6c61-4f19-8af1-b728bb07e8c0
• Angelique Volfart; Grace E. Rice; Matthew A. Lambon Ralph; Bruno Rossion (2021): Electrophysiological data, supplementary to the paper "Implicit, automatic semantic word categorisation in the left occipito-temporal cortex as revealed by fast periodic visual stimulation". 4TU.ResearchData. (dataset). https://doi.org/10.4121/14791845.v1
• Juan Carlos Prazmowski (2023): Early Stage Design Optimization for Passive Strategy Workflow (ESDOPS Workflow). 4TU.ResearchData. (dataset). https://doi.org/10.4121/bb7650fa-297e-451b-a6a5-1275145058a4.v1
• Attila Lengyel; Sourav Garg; Michael Milford; Jan van Gemert (2023): CODaN: Common Objects Day and Night, an image classification dataset.. 4TU.ResearchData. (dataset). https://doi.org/10.4121/05246b12-f291-460c-be8a-f14a89d249e5.v1