Love Data Week 2022

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The EUI Library’s 7th annual Love Data Week begins on Monday, the 14th of February with an Info-Desk in the lower loggia of the Badia Fiesolana, from 12:00 to 15:00 – to raise awareness of data discovery; data use and protection; and data preservation and sharing. The Library assists EUI members throughout the research data lifecycle and provides advice on data management plans (DMPs); data inputs and quality control; database copyright and protection, and the preparation of datasets for reposit in the EUI research repository, Cadmus. [ctd…]

♥ The Library maintains a Data Portal providing access to Library-licensed data resources. There are 72 data resource guides
♥ The Library’s restricted data server and secure data room support access to, and use of, sensitive data
♥ Research data management (RDM) is undertaken throughout the research data lifecycle. The Library gives advice on the control of data inputs; the elaboration of data; the preparation of data documentation; and the structure of new research data outputs. The Library’s Research Data Services page provides detailed information
♥ At the end of research projects, EUI members and research teams, can submit their research datasets for preservation and – where possible – sharing in the EUI research repository, Cadmus.

Submitting datasets for preservation and sharing

♥ The first step is to complete the Library’s online data submission form
♥ Library staff will then make an appointment for transfer of data, documentation and – where applicable – codebooks
♥ Any researcher, fellow or professor – from any discipline – can submit research data outputs to the EUI Research Data Collection in Cadmus
♥ Library staff will use the information in the online form to generate metadata to describe the new dataset and make it findable, accessible, interoperable and reusable (FAIR data principles)
♥ The Library also helps research project managers to prepare data management plans (DMPs) which are required when applying for EU Horizon Europe and ERC funding.

Next steps

♥ Submit datasets to the Research Data Collection in Cadmus by completing this online form
♥ When preparing submissions, it is advisable to create two dossiers: a DATA dossier for the dataset; and a DOCS dossier for documentation and (where applicable) codebooks
♥ Sub-sets should be accommodated in the Data dossier – not submitted as separate entries. (Future iterations of a dataset can subsequently be added)
♥ Large datasets should be submitted in archive format (eg. .zip). Data should be submitted in original file format version
♥ Documentation should include a concise overview of the research project, methodology and disciplinal context
♥ Scholars presenting datasets for inclusion in the Research Data Collection in the Cadmus repository should pay particular attention to data quality control, dataset structure and data protection
♥ Clear and consistent metadata for folders, files, variables and versioning helps facilitate future data retrieval, reuse and replicability. The Library will provide advice and practical assistance
♥ Science Europe published a Data Management Plan Evaluation Rubric in 2021, which can be used to check the quality of data management plans
♥ For support and further information, please write to [email protected]

Data as original work

♥ Datasets presented for inclusion in the EUI Research Data Collection must be the output of original data generation; or must be the output of significant, value-added, elaboration of pre-existing sources
♥ The source(s) of the data must be indicated. If the dataset is the output of original data collection and elaboration, details must be provided. If the dataset is derived from pre-existing sources, those sources must be clearly indicated (data creator, institutional source, publisher).

Permission to share dataset as open data

♥ EUI members submitting a dataset for inclusion in the EUI Research Data Collection in the Cadmus repository should be particularly attentive to data protection and database copyright. Library staff will offer guidance
Data Protection: Persons, families and households cannot be identifiable in any dataset. Submitters are responsible for obtaining and documenting the informed consent of subjects. Dataset creators are responsible for the anonymisation of data observations. The Library’s Research Data Services page provides further information
Database copyright: Research data outputs which are elaborated from pre-existing copyrighted sources may require permission to reposit and share. It is not possible to publish a dataset containing substantial portions of data sourced from pre-existing databases governed by contractual license. The Library provides advice on copyright and data protection
♥ By submitting the online data submission form, EUI members certify that their work complies with the Code of Ethics in Academic Research of the European University Institute
♥ For support and further information, please write to [email protected]

♥  Research Data Services homepage
♥  Research Data Collection in the Cadmus repository
♥  Library Data Portal
♥  EUI Library