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How to Submit Datasets to the Cadmus Repository

  • Cadmus_ResData_fullEUI members can submit their research datasets for inclusion in the EUI Research Data collection in the Cadmus repository
  • The first step is to complete the form below. The Library will then make an appointment for data transfer
  • By submitting this form, EUI members certify that the dataset for reposit is the result of original data generation, or is the output of significant, value-added, elaboration of pre-existing sources
  • Further information is available in the lower part of this page.

 

ABOUT SUBMISSION


Dataset Creator(s)

  • Datasets presented for inclusion in the EUI Research Data collection in the Cadmus repository must be the output of research by an EUI member, or research team
  • The name of the Principal Investigator, researcher(s), and - if applicable - technical collaborator(s) who created the dataset, must be provided. EUI email contacts must be indicated
  • If the project is undertaken in the context of a consortium, the name of the Data Manager should be provided (if different from the Principal Investigator).

Dataset as original work and source(s) of data

  • The scholar(s) submitting the dataset for reposit must be the creator(s) of the dataset.
  • The dataset 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 state whether the data can be shared as open data or not - taking into consideration data protection and data copyright (see below). The Library can offer guidance. Scholars should indicate if datasets presented for reposit will be subject to embargo
  • Data Protection: Persons, families and households cannot be identifiable in any dataset. Repositors are responsible for obtaining and documenting the informed consent of subjects. Dataset creators are responsible for the anonymisation of data observations. The EUI guide to Good Data Protection Practice in Research provides further information on data protection

  • 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 can provide advice on copyright and data protection

  • Further information on data management, repositing, preservation and open data, is provided in the 2019 EUI Library Research Data Guide (7th edition, 2019)
  • By submitting this form, EUI members certify that their work complies with the Code of Ethics in Academic Research of the European University Institute.

Next steps

  • A copy of the completed submission form is sent to the submitter
  • Upon receipt of the form, EUI Library staff will make an appointment for transfer of (i) data and (ii) supporting documentation and (iii, where applicable) code
  • Data uploading, and metadata input, is by Library staff
  • 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. Large datasets should be submitted in archive format (eg. .zip). Data should be submitted in original file format version. Subsets should be accommodated in the Data dossier – not submitted as separate entries. (New iterations of the dataset can subsequently be submitted as new entries). Documentation should include a concise overview of the research project and methodology. 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. It is not possible to reposit unstructured data elements and observations. Clear and consistent metadata for folders, files, variables and versioning helps facilitate future data retrieval, reuse and replicability.
  • Information about dataset structure and documentation is in Section 4 (p.5) of the 2019 Library Research Data Guide

 


 

Page last updated on 29 October 2019