Are Scientific Data Repositories Coping with Research Data Publishing?

Abstract

Research data publishing is intended as the release of research data to make it possible for practitioners to (re)use them according to "open science" dynamics. There are three main actors called to deal with research data publishing practices: researchers, publishers, and data repositories. This study analyses the solutions offered by generalist scientific data repositories, i.e., repositories supporting the deposition of any type of research data. These repositories cannot make any assumption on the application domain. They are actually called to face with the almost open ended typologies of data used in science. The current practices promoted by such repositories are analysed with respect to eight key aspects of data publishing, i.e., dataset formatting, documentation, licensing, publication costs, validation, availability, discovery and access, and citation. From this analysis it emerges that these repositories implement well consolidated practices and pragmatic solutions for literature repositories. These practices and solutions can not totally meet the needs of management and use of datasets resources, especially in a context where rapid technological changes continuously open new exploitation prospects.

Data Discovery Paradigms: User Requirements and Recommendations for Data Repositories

“…A way to achieve this may include: providing subject browse, adding appropriate structures to organise search results, applying appropriate faceted filters. Assante and Candela et al (2016) reviewed five repositories (Dryad, Figshare, Zenodo, CSIRO DAP and 3TU.Datacentrum); they found all of them offer keyword-based search, facet search and facet filtering.…”

Bagaimana Menghubungkan Publikasi Ilmiah Dengan Data Penelitian?

“…Repositori data ilmiah sering diusulkan sebagai instrumen untuk mendukung penerbitan data karena mereka menyediakan fasilitas untuk semua aktor berbeda yang terlibat dalam proses tersebut. Sedangkan publikasi data penelitian adalah pendekatan untuk berbagi data penelitian, maksudnya sebagai rilis data penelitian untuk digunakan kembali oleh orang lain (Assante, Candela, Castelli, & Tani, 2016).…”

Recommended versus Certified Repositories: Mind the Gap

“…To be able to share data, both now and in the future, datasets not only need to be preserved, but also need to be comprehensible, and useable for others. To ensure these qualities, research data needs to be managed (Dobratz et al 2010) and data repositories can play a role in maintaining the data in a useable structure (Assante et al 2016). However, using a data repository does not guarantee that the data is usable, since not every repository uses the same procedures and quality metrics, such as applying proper metadata tags (Merson, Gaye & Guerin 2016).…”