Non_Personal_Data_Sharing_anon_ilde_data_used_in_data_ethics

Data Sharing Terms – Non Personal Datasets

These terms apply to the sharing and processing of Non Personal datasets within the

Beardsley, M., Santos, P., Hernández-Leo, D., Ethics in educational technology research: informing participants on data sharing risks [Data set]. Zenodo. http://doi.org/10.5281/zenodo.1486056

made available by the Interactive and Distributed Technologies for Education (TIDE) group of the Universitat Pompeu Fabra (UPF) to the person downloading the data set (“Transferee”) identified by requesting access to the dataset through Zenodo.

UPF is owner of the dataset shared hereunder, and may be contacted at: tide-info@upf.edu Please send a copy of any communications to davinia.hernandez-leo@upf.edu

Shared data

The dataset shared hereunder (“Shared Dataset”) is the following:

Dataset identification

(students, etc.)

The analysis of data in this document is focused on investigating teacher and student conceptualizations of data sharing risks. The study has been conducted within the context of a research project, “Communities of Teaching as a data‐informed design science and contextualized practice” (CoT, funded by RecerCaixa), in which both teacher and student participants were asked to share data, such as the designs of their learning activities, their opinion (e.g. using questionnaires) or their actions tracked by a community platform, and learning design and enactment tools. The objective of the project is to study how this data can be used to support learning design community awareness (Michos & Hernández-Leo, 2018) and teacher-led inquiry into their student’s learning (Michos, Hernández-Leo, & Albó, 2018) so teachers can iteratively improve their teaching practices. The data have been collected via questionnaires with open and closed questions:

Initial questionnaire (teachers): Prior to their participation in the CoT workshops, teachers from two educational centers were given questionnaires to better understand how they were managing student data and conceptualizing data sharing risks in the context of responsibly managing student data.

Final questionnaire (teachers): After participating in the CoT workshops, teachers were given questionnaires to better understand how their conceptualizations of responsible data management (e.g. collection, analysis, and sharing) changed.

Questionnaire (students): Students from two educational centers were given questionnaires (with open and closed questions) to better understand how they were managing their own data and conceptualizing data sharing risks in the context of responsibly managing data.

Michos, K., Hernández-Leo, D., (2018) Supporting awareness in communities of learning design practice, Computers in Human Behavior, 85 (Aug. 2018), 255-270.

Michos, K., & Hernández-Leo, D., Albó, L. (2018). Teacher-led inquiry in technology-supported school communities. British Journal of Educational Technology 49(6), 1077-1095.

Type of dataset

(students, etc.)

Answers to questionnaires.

Dataset content

(Name, activity, etc.)

Self-assessments, perceptions and opinions.

Purpose and Period

The Shared Data may ONLY be processed by the Transferee for the following purpose/s (“Purpose/s”):

Principal Purpose

(Analysis, metrics, etc.)

Investigating teacher and student conceptualizations of data sharing risks.. Only non-commercial, academic & research.

Compatible / further purposes (further scientific research, etc.)

Retention period

(term of challenge, one year...)

During the academic or research activity and no more than one year.

Permission to share dataset with third parties

OK to share the Dataset with third parties

Conditions: Third parties should require access to the dataset in Zenodo.

Security Measures

Specific Security Measures to implement

YES

Dataset should be permanently stored and used only in a password-protected computer.

Data security obligations of Transferee

Transferee warrants and undertakes to UPF that:

All processing of the Share Dataset will be carried out in accordance with the terms of this Agreement.
Share Dataset must be treated with the utmost confidentiality and Transferee will establish appropriate safeguards and security measures to maintain the confidentiality of the Shared dataset to prevent unauthorised access or undue loss, modification, destruction or disclosure.
Transferee will ensure compliance with the above security measures by any third party/ies which may access that Dataset under authorisation of the Transferee.
Transferee will only access and process the Shared Dataset for the Purpose/s set out above.
Transferee shall make no steps whatsoever to re-associate any part of the Shared Dataset with data relating to individuals.
Transferee will promptly notify the UPF (at the above contact address) about any accidental or unauthorised disclosure or access to the Dataset, and take all measures reasonably necessary to prevent or limit (further) unauthorised access, security breach, loss or disclosure of the Shared Dataset.
Transferee will deal promptly and properly with all inquiries from UPF relating to his/her processing of Shared Dataset.

No Warranties and Liability

UPF makes no warranties as to the completeness, accuracy or integrity of the Shared Dataset. UPF does warrant that in itself, the Dataset does not contain any personal data (as defined by applicable EU law).
To the maximum extent permitted by applicable law the UPF shall not be liable for any direct or indirect damages suffered by any party due to the processing of the Shared Dataset by the Transferred, other than through gross negligence or fraud on the part of UPF or its staff.