Users' needs and research practices in data reuse: translating the FAIR principles in to reality
| Main Authors: | Ruggieri Roberta, PIsacane Lucio, Luzi Daniela |
|---|---|
| Format: | Proceeding poster eJournal |
| Bahasa: | eng |
| Terbitan: |
, 2019
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| Subjects: | |
| Online Access: |
https://zenodo.org/record/3467184 |
Daftar Isi:
- This proposal is based on the results gained within the OpenUP project (http://openup-h2020.eu/) that addressed key aspects and challenges of the currently transforming science landscape and aspires to come up with a cohesive framework for the review-disseminate-assess phases of the research life cycle in Open Science perspective. In particular, one of pilot carried out during the OpenUP project in the field of Social sciences aimed at identifying strengths and weaknesses in the process of dataset review and validation, outlining best practices towards transparency, data dissemination, reliability and reuse. To reach this aim we selected the scientific community that originated the Human Mortality Database (HMD), a well well-known data source providing open access data for demography and population studies. We interviewed the HMD managers to investigate motivations and organizational features that prompted the community to make their data available as well as the quality assurance process. Moreover, to analyze attitudes and re-use behaviors a questionnaire was designed in collaboration with HMD management and sent to HMD end users. The interviews highlighted some principles that guided the community to manage and share data in a transparent way. They were: comparability, flexibility, accessibility and reproducibility. Survey’s respondents provided feedback on the database features they consider important such as the easy access to data, the comparability over time and across countries, and the quality of data. Moreover, aspects that should be improved were also reported, such as the provision of tools to facilitate data automatic imports into statistical packages and machine-readable formats. Our research questions were: To what extent these very practical and real requirements are fulfilled by the principles expressed by the HMD managers? Taking for granted that they provide important indications for the improvement of the data repository, do they suggest the implementation of further principles? Considering the FAIR principles as a reference point, does the resulting matching of the two perspectives suggest the implementation of new features that make HMD FAIR complaint? The poster will display a matching exercise between the practical users’ requirements and the principles expressed by the HMD managers to finally investigate how they fit in the FAIR principles. Preliminary results outlined community-specific principles that partially overlap the FAIR principles, but meet user expectations, that are generally related to data quality assurance. Moreover, while some FAIR criteria in the description of data are easy to adopt (metadata schema, PID, etc.), others, such as interoperability, are more difficult to implement requiring a broad consensus on the use of common standards and protocols.