Open Science

List of Open Access Journals

The list of the top 50 Journals/Proceedings in Robotics, indicating their publication OA model (Gold, Green or Hybrid) and the workflow of publication in the different models to access OA is available for download here.

Dataset Index

NCCR Robotics recommends the use of Zenodo, a data repository that respects the FAIR Data Principles (3) and is maintained by a non-profit organisation (CERN).

Every publication made on Zenodo is publicly available and has its own DOI for unique identification and citation. Upload in the NCCR Robotics Zenodo community

Datasets developed under NCCR Robotics Research:

Dataset title: DSEC: A Stereo Event Camera Dataset for Driving Scenarios. IEEE Robotics and Automation Letters (RA-L)

Responsible person: D. Scaramuzza

Projects involved: Rescue Robotics

Code

Article (2021)

Dataset title: Learning to Exploit Multiple Vision Modalities by Using Grafted Networks

DOI: 10.1007/978-3-030-58517-4_6

Responsible person: Hu, Yuhuang, Delbruck, Tobi, & Liu, Shih-Chii

Projects involved: Rescue Robotics

Presented at The 16th European Conference on Computer Vision (ECCV), Online, 2020.

Dataset title: Dataset for the evaluation of a large-scale in-service K-4 teacher-training program for computer science and robotics

DOI: 10.5281/zenodo.4884687

Responsible person: Laila El-Hamamsy, Frédérique Chessel-Lazzarotto; Barbara Bruno; Jessica Dehler Zufferey; Francesco Mondada

Projects involved: Educational Robotics

Dataset title: Dataset for the publication "Insect Inspired Self-Righting Fixed-Wing Drones"

DOI: 10.5281/zenodo.4568184

Responsible person: Vourtsis Charalampos, Ramirez Serrano Francisco, Casas Rochel Victor, Stewart William, & Floreano Dario.

Projects involved: Rescue Robotics

Dataset title: Resources for the article "Investigating the role of educational robotics in formal mathematics education"

DOI: 10.5281/zenodo.4649842

Responsible person: Brender, Jérôme, El-Hamamsy, Laila, & Bruno, Barbara.

Projects involved: Educational Robotics

Dataset title: Intuitive 3D Control of a Quadrotor in User Proximity with Pointing Gestures (Dataset) (Version v1.0)

DOI: 10.5281/zenodo.3866473

Responsible person: Gromov, Boris, Guzzi, Jérôme, Gambardella, Luca Maria, & Giusti, Alessandro.

Projects involved: Rescue Robotics

Dataset title: Customizing Skills for Assistive Robotic Manipulators: An Inverse Reinforcement Learning Approach with Error-Related Potentials.

DOI: 10.5281/zenodo.3627015

Responsible person: Batzianoulis, Iason, Iwane, Fumi, Wei, Shupeng, Chavarriaga, Ricardo, del R. Millán, José, & Billard, Aude.

Projects involved: Wearable Robots

Dataset title: Aerial Single-View Depth Completion with Image-Guided Uncertainty Estimation

DOI: 10.1109/LRA.2020.2967296

Responsible person: Lucas Teixeira, Martin R. Oswald, Marc Pollefeys and Margarita Chli

Projects involved: Rescue Robotics

Article (2020)

Code Index

Code: DSEC: A Stereo Event Camera Dataset for Driving Scenarios. IEEE Robotics and Automation Letters (RA-L)

Responsible person: D. Scaramuzza

Projects involved: Rescue Robotics

Data

Article (2021)

Policy on Open Research Data

Research data should be freely accessible to everyone – for scientists as well as for the general public.

The SNSF agrees with this principle. Since October 2017, researchers have to include a data management plan (DMP) in their funding application for most of the funding schemes. At the same time, the SNSF expects that data generated by funded projects are publicly accessible in digital databases provided there are no legal, ethical, copyright or other issues (1).

Open data is the idea that some data should be freely available to everyone to use and republish as they wish, without restrictions from copyright, patents or other mechanisms of control (2).

Learn about the SNSF policy on Open Research Data

The SNSF values research data sharing as a fundamental contribution to the impact, transparency and reproducibility of scientific research. In addition to being carefully curated and stored, the SNSF believes research data should be shared as openly as possible.

The SNSF therefore expects all its funded researchers:

to store the research data they have worked on and produced during the course of their research work,
to share these data with other researchers, unless they are bound by legal, ethical, copyright, confidentiality or other clauses, and
to deposit their data and metadata onto existing public repositories in formats that anyone can find, access and reuse without restriction.

Research data is collected, observed or generated factual material that is commonly accepted in the scientific community as necessary to document and validate research findings.

References:

(1) SNSF policy on Open Research Data

(2) Auer S., Bizer C., Kobilarov G., Lehmann J., Cyganiak R., Ives Z. (2007). DBpedia: A Nucleus for a Web of Open Data. In: Aberer K. et al. (eds), The Semantic Web. ISWC 2007, ASWC 2007. Lecture Notes in Computer Science, vol 4825. Springer, Berlin, Heidelberg. doi: 10.1007/978-3-540-76298-0_52

(3) Wilkinson, Mark D.; Dumontier, Michel; Aalbersberg, IJsbrand Jan; Appleton, Gabrielle; et al. (2016). The FAIR Guiding Principles for scientific data management and stewardship. Scientific Data. 3: 160018. doi: 10.1038/sdata.2016.18