Data Cultures in Higher Education by Unknown

Author:Unknown
Language: eng
Format: epub, pdf
ISBN: 9783031241932
Publisher: Springer International Publishing

Open Data in Zenodo

Zenodo (https://​zenodo.​org) is an open repository that provides space to store and share research artefacts that may include datasets, software, publications, posters, presentations, audio/video, and any other materials related to the scholarly process for free (European Organization For Nuclear Research and OpenAIRE, 2013). The repository was launched in 2013 and is operated by CERN. Zenodo allows anyone to register as a user and upload their research-related artefacts. It does not impose limits on the format of the upload, nor does it impose limits considering the status of the research data. However, the file size limit per record is limited to 50GB, which can be increased upon request. As indicated within the general policies of Zenodo, the uploaded content in Zenodo will be retained for the lifetime of the repository.

When uploading the content, users are required to provide metadata about the research artefacts and choose a license and access rights for the uploaded content. The available access rights options include open, embargoed, restricted, and closed access. Uploading research artefacts in Zenodo does not require a change in ownership or property rights transfers. Once the uploaded records are published in Zenodo, it automatically assigns a digital object identifier (DOI) to every published record for citation purposes. After publishing the records, it is possible to update metadata at any time. Modifying existing records will resolve to a new version that is also assigned a new DOI. It is also possible to withdraw content from Zenodo. However, the withdrawal requires to be requested and fully justified by the original uploader.

Zenodo also allows to create communities and to associate research artefacts to certain communities of interest. The TIDE-UPF research group curates the “Educational Data Analytics” community, focused on data whose analytics can be used for research purposes (including learning analytics, design analytics, and teacher communities analytics). At present, this community consists of eight datasets, two software, and one publication. In the following, we provide details of two examples of shared datasets.

The dataset PyramidApp configurations and participants behaviour consists of records that can be used to reproduce the experimental results of an associated paper (Manathunga & Hernández-Leo, 2016a). In summary, the dataset includes details of learners’ participation within scripted collaborative learning activities conducted in a secondary school and a vocational training school. The records included in the dataset offer learners’ anonymised IDs, answers produced by the learners’ to the collaborative learning task, and their participation within the specific collaborative learning mechanism proposed by the PyramidApp tool (Manathunga & Hernández-Leo, 2016b). The dataset also provides details of the activity authoring specified by the educators. The dataset is currently available under restricted access. The interested parties can request access to the dataset via Zenodo platform upon providing a justification regarding the intended use and upon agreeing to the data sharing terms associated with the dataset.

The dataset Teacher-led inquiry in technology-supported school communities (Michos et al., 2018a) consists of records related to the paper by Michos et al. (2018b). In summary, the dataset consists of three different .

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