Resources

How to Cite Us

• If you want to cite DSW in your paper, cite this publication:
  • Pergl, R., Hooft, R., Suchánek, M., Knaisl, V., & Slifka, J. (2019). "Data Stewardship Wizard": A Tool Bringing Together Researchers, Data Stewards, and Data Experts around Data Management Planning. Data Science Journal, 18.
    https://doi.org/10.5334/dsj-2019-059
• If you use DSW in your research project, use this acknowledgment:
  • This work / Part of this work was carried out with the support of ELIXIR CZ Research Infrastructure (ID LM2023055, MEYS CR).

DSW Team Publications

• Miksa, T., Suchánek, M., Slifka, J., Knaisl, V., Ekaputra, F.J., Kovacevic, F., Ningtyas, A.M., El-Ebshihy, A. & Pergl, R. (2023). Towards a Toolbox for Automated Assessment of Machine-Actionable Data Management Plans. Data Science Journal, 22(1), 28.
  https://doi.org/10.5334/dsj-2023-028
• McQuilton, P., Batista, D., Beyan, O., Granell, R., Coles, S., Izzo, M., Lister, A.L., Pergl R., Rocca-Serra, P., Schaap, B., Shanahan, H., Thurston, M., & Sansone, S.-A. (2020). Helping the Consumers and Producers of Standards, Repositories and Policies to Enable FAIR Data. Data Intelligence 2020; 2 (1-2): 151–157.
  https://doi.org/10.1162/dint_a_00037
• Sustkova, H. P., Hettne, K. M., Wittenburg, P., Jacobsen, A., Kuhn, T., Pergl, R., Slifka, J., McQuilton, P., Magagna, B., Sansone, S.-A., Stocker, M., Imming, M., Lannom, L., Musen, M., & Schultes, E. (2020). FAIR Convergence Matrix: Optimizing the Reuse of Existing FAIR-Related Resources. Data Intelligence, 2(1–2), 158–170.
  https://doi.org/10.1162/dint_a_00038
• Schultes, E., Magagna, B., Hettne, K. M., Pergl, R., Suchánek, M., & Kuhn, T. (2020). Reusable FAIR implementation profiles as accelerators of FAIR convergence. In International Conference on Conceptual Modeling (pp. 138-147). Cham: Springer International Publishing
  https://doi.org/10.1007/978-3-030-65847-2_1
• Cardoso, J., Castro, L. J., Ekaputra, F. J., Jacquemot, M. C., Suchánek, M., Miksa, T., & Borbinha, J. (2022). DCSO: towards an ontology for machine-actionable data management plans. Journal of Biomedical Semantics, 13 (21)
  https://doi.org/10.1186/s13326-022-00274-4
• Pergl, R., Hooft, R., Suchánek, M., Knaisl, V., & Slifka, J. (2019). "Data Stewardship Wizard": A Tool Bringing Together Researchers, Data Stewards, and Data Experts around Data Management Planning. Data Science Journal, 18.
  https://doi.org/10.5334/dsj-2019-059
• Jones, S., Pergl, R., Hooft, R., Miksa, T., Samors, R., Ungvari, J., Davis, R. I., & Lee, T. (2020). Data Management Planning: How Requirements and Solutions are Beginning to Converge. Data Intelligence, 2(1–2), 208–219.
  https://doi.org/10.1162/dint_a_00043

Technical Resources

• Eguinoa, I., Suchánek, M., Knaisl, V., Slifka, J., De Geest, P., López, D., Leo S., & Soiland-Reyes, S. (2023). BioHackEU22 Report: Enhancing Research Data Management in Galaxy and Data Stewardship Wizard by utilising RO-Crates.
  https://doi.org/10.37044/osf.io/24js
• Suchánek, M., Alper, P., Slifka, J., Děd, V., Barry, N. D., Lieby, P., Vidak, M., & Zlender, N. (2021). DS Wizard Meets DAISY: A Romance Solving Data Protection Requirements in Data Management Planning.
  https://doi.org/10.37044/osf.io/cuvqw
• Miksa, T., Walk, P., Neish, P., Oblasser, S., HOLLAND, M., Renner, T., Jacquemot-Perbal M.C., Cardoso, J., Kvamme, T., Praetzellis, M., & Suchánek, S. (2021). Application Profile for Machine-Actionable Data Management Plans.
  https://doi.org/10.21203/rs.3.rs-1458035/v1
• Suchánek, M., Hooft, R. W., & Bourhy, K. (2020). Progress on Data Stewardship Wizard during BioHackathon Europe 2020.
  https://doi.org/10.37044/osf.io/9mnkb

Posters

• Towards Machine-Actionable Information Collection for Human Data Research and Beyond Data Stewardship Wizard (DSW)
  Marina Popleteeva, Jan Slifka, Paulette Lieby, Marek Suchánek
  ELIXIR All Hands 2024, 7 June 2024, Uppsala, Sweden
• Evolution of Data Stewardship Wizard on National and International Scale
  Marek Suchánek, Vojtěch Knaisl, Jan Slifka, Jana Martínková, Kryštof Komanec, Rob Hooft, Robert Pergl
  ELIXIR All Hands 2024, 11 June 2024, Uppsala, Sweden
• Integration Possibilities of the Data Stewardship Wizard
  Jan Slifka, Marek Suchánek, Vojtěch Knaisl
  ELIXIR All Hands 2023, 6 June 2023, Dublin, Ireland
• Living Data Management Plans with Data Stewardship Wizard
  Vojtěch Knaisl, Jan Slifka, Marek Suchánek, Rob Hooft, Robert Pergl, Kryštof Komanec
  ELIXIR All Hands 2022, 8 June 2022, Amsterdam, Netherlands
• Making DMPs Beneficial to Research Projects with Data Stewardship Wizard
  Marek Suchánek, Rob Hooft, Jana Freeman, Jan Slifka, Robert Pergl, Vojtěch Knaisl
  International FAIR Convergence Symposium, 27 November 2020, virtual
• VODAN in a Box: Proof of Concept
  Marek Suchánek, Mariam Basajja
  International FAIR Convergence Symposium, 27 November 2020, virtual
• Collaborative and Interoperable Data Management Plans in Data Stewardship Wizard
  Marek Suchánek, Robert Pergl, Jan Slifka, Vojtěch Knaisl, Jana Freeman
  ELIXIR CZ Annual Conference 2020, 2 November 2020, virtual
• Data Stewardship Wizard in the FAIR Tools Ecosystem
  Marek Suchánek, Robert Pergl, Rob Hooft, Jan Slifka, Vojtěch Knaisl
  ELIXIR All Hands 2020, 10 June 2020, virtual
• Data Stewardship Wizard in the FAIR Ecosystem
  Marek Suchánek, Robert Pergl, Rob Hooft, Jan Slifka, Vojtěch Knaisl
  ELIXIR CZ Annual Conference 2019, 11 November 2019, Kurdějov, Czech Republic
• Data Stewardship Wizard in the FAIR Ecosystem
  Marek Suchánek, Robert Pergl, Rob Hooft, Jan Slifka, Vojtěch Knaisl
  ELIXIR CZ Annual Conference 2019, 11 November 2019, Kurdějov, Czech Republic
• Data Stewardship Wizard
  Robert Pergl, Marek Suchánek, Jan Slifka, Vojtěch Knaisl, Rob Hooft, Mateusz Kuzak
  ELIXIR - EXCELERATE All Hands meeting 2019, 19 June 2019, Lisbon, Portugal

Other Resources

• Data Stewardship Mindmap
  Rob Hooft
  29 March 2019, Online

External Publications

• Vranken, W., Devignes, M.D., & Smail, M. (2023). Supporting information for the RNAct Data Science Wizard (DSW) knowledge model for early-stage researchers. [Dataset]. Zenodo
  https://doi.org/10.5281/zenodo.7641279
• Bodin, M., Bolmsten, F., Aulin, P., Ivănoaica, T., Olivo, A., Malka, J., Wrona, K. & Götz, A. (2023). Data Management Plans for the Photon and Neutron Communities. Data Science Journal, 22(1), p.30.
  https://doi.org/10.5334/dsj-2023-030
• Cardoso, J., Castro, L. J., Ekaputra, F. J., Jacquemot, M. C., Suchánek, M., Miksa, T., & Borbinha, J. (2022). DCSO: towards an ontology for machine-actionable data management plans. Journal of Biomedical Semantics, 13(1), 21.
  https://doi.org/10.1186/s13326-022-00274-4
• Miksa, T., Oblasser, S., & Rauber, A. (2021). Automating research data management using machine-actionable data management plans. ACM Transactions on Management Information Systems (TMIS), 13(2), 1-22.
  https://doi.org/10.1145/3490396
• Thompson, M., Burger, K., Kaliyaperumal, R., Roos, M., & da Silva Santos, L. O. B. (2020). Making FAIR easy with FAIR tools: From creolization to convergence. Data Intelligence, 2(1-2), 87-95
  https://doi.org/10.1162/dint_a_00031

Comparative Studies

• Becker, C., Hundt, C., Engelhardt, C., Sperling, J., Kurzweil, M., & Müller-Pfefferkorn, R. (2023). Data Management Plan Tools: Overview and Evaluation. Proceedings of the Conference on Research Data Infrastructure, 1.
  https://doi.org/10.52825/cordi.v1i.338
• Krans, N. A., Ammar, A., Nymark, P., Willighagen, E. L., Bakker, M. I., & Quik, J. T. K. (2022). FAIR assessment tools: evaluating use and performance. NanoImpact, 27, 100402.
  https://doi.org/10.1016/j.impact.2022.100402
• Gajbe, S. B., Tiwari, A., & Singh, R. K. (2021). Evaluation and analysis of data management plan tools: a parametric approach. Information Processing & Management, 58(3), 102480.
  https://doi.org/10.1016/j.ipm.2020.102480

Case Studies & Use Case Papers

• Van Damme, P., Moreno, P. A., Bernabé, C. H., Ballesteros, A. C., Le Cornec, C. M. A., Vieira, B. D. S., van der Velde, K. J., Zhang, S., Carta, C., Cornet, R., t Hoen, P. A. C., Jacobsen, A., Swertz, M. A., Roos, M., & Benis, N. (2023). A Resource for Guiding Data Stewards to Make European Rare Disease Patient Registries FAIR. Data Science Journal, 22, Article 12.
  https://doi.org/10.5334/dsj-2023-012
• Zhou, X.-R., Beier, S., Brilhaus, D., Martins Rodrigues, C., Mühlhaus, T., von Suchodoletz, D., Twyman, R.M., Usadel, B., & Kranz, A. (2023). DataPLAN: A Web-Based Data Management Plan Generator for the Plant Sciences. Data 2023, 8, 159.
  https://doi.org/10.3390/data8110159
• Gadelha, L., Hohmuth, M., Zulfiqar, M., Schöne, D., Samuel, S., Sorokina, M., Steinbeck, Ch., & König-Ries, B. (2022). Toward a framework for integrative, FAIR, and reproducible management of data on the dynamic balance of microbial communities. In 2022 IEEE 18th International Conference on e-Science (e-Science) (pp. 443-449). IEEE.
  https://doi.org/10.1109/eScience55777.2022.00080

Posters

• Machine actionable DMPs in practice : making a FAIR difference at Chalmers
  Urban Andersson, Jeremy Azzopardi, Maria Kinger
  Open Repositories 2024, 3-6 June 2024, Gothenburg, Sweden
• Testing Open Science Tools
  Essi Viitanen
  The 18th Munin Conference on Scholarly Publishing 2023, September 2023, Tromsø, Norway