The FAIR Data Maturity Model: An Approach to Harmonise FAIR Assessments
In the past years, many methodologies and tools have been developed to assess the FAIRness of research data. These different methodologies and tools have been based on various interpretations of the FAIR principles, which makes comparison of the results of the assessments difficult. The work in the...
| Main Authors: | , , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Ubiquity Press
2020-10-01
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| Series: | Data Science Journal |
| Subjects: | |
| Online Access: | https://datascience.codata.org/articles/1241 |
| _version_ | 1819008351279775744 |
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| author | Christophe Bahim Carlos Casorrán-Amilburu Makx Dekkers Edit Herczog Nicolas Loozen Konstantinos Repanas Keith Russell Shelley Stall |
| author_facet | Christophe Bahim Carlos Casorrán-Amilburu Makx Dekkers Edit Herczog Nicolas Loozen Konstantinos Repanas Keith Russell Shelley Stall |
| author_sort | Christophe Bahim |
| collection | DOAJ |
| description | In the past years, many methodologies and tools have been developed to assess the FAIRness of research data. These different methodologies and tools have been based on various interpretations of the FAIR principles, which makes comparison of the results of the assessments difficult. The work in the RDA FAIR Data Maturity Model Working Group reported here has delivered a set of indicators with priorities and guidelines that provide a ‘lingua franca’ that can be used to make the results of the assessment using those methodologies and tools comparable. The model can act as a tool that can be used by various stakeholders, including researchers, data stewards, policy makers and funding agencies, to gain insight into the current FAIRness of data as well as into the aspects that can be improved to increase the potential for reuse of research data. Through increased efficiency and effectiveness, it helps research activities to solve societal challenges and to support evidence-based decisions. The Maturity Model is publicly available and the Working Group is encouraging application of the model in practice. Experience with the model will be taken into account in the further development of the model. |
| first_indexed | 2024-12-21T00:39:05Z |
| format | Article |
| id | doaj.art-ae063c977c4447c2b356c3452399e89a |
| institution | Directory Open Access Journal |
| issn | 1683-1470 |
| language | English |
| last_indexed | 2024-12-21T00:39:05Z |
| publishDate | 2020-10-01 |
| publisher | Ubiquity Press |
| record_format | Article |
| series | Data Science Journal |
| spelling | doaj.art-ae063c977c4447c2b356c3452399e89a2022-12-21T19:21:44ZengUbiquity PressData Science Journal1683-14702020-10-0119110.5334/dsj-2020-041796The FAIR Data Maturity Model: An Approach to Harmonise FAIR AssessmentsChristophe Bahim0Carlos Casorrán-Amilburu1Makx Dekkers2Edit Herczog3Nicolas Loozen4Konstantinos Repanas5Keith Russell6Shelley Stall7PwC,European CommissionIndependentVision and ValuesPwC,European CommissionAustralian Research Data CommonsAmerican Geophysical UnionIn the past years, many methodologies and tools have been developed to assess the FAIRness of research data. These different methodologies and tools have been based on various interpretations of the FAIR principles, which makes comparison of the results of the assessments difficult. The work in the RDA FAIR Data Maturity Model Working Group reported here has delivered a set of indicators with priorities and guidelines that provide a ‘lingua franca’ that can be used to make the results of the assessment using those methodologies and tools comparable. The model can act as a tool that can be used by various stakeholders, including researchers, data stewards, policy makers and funding agencies, to gain insight into the current FAIRness of data as well as into the aspects that can be improved to increase the potential for reuse of research data. Through increased efficiency and effectiveness, it helps research activities to solve societal challenges and to support evidence-based decisions. The Maturity Model is publicly available and the Working Group is encouraging application of the model in practice. Experience with the model will be taken into account in the further development of the model.https://datascience.codata.org/articles/1241fairresearch dataassessmentdigital objectevaluationmaturitydata management |
| spellingShingle | Christophe Bahim Carlos Casorrán-Amilburu Makx Dekkers Edit Herczog Nicolas Loozen Konstantinos Repanas Keith Russell Shelley Stall The FAIR Data Maturity Model: An Approach to Harmonise FAIR Assessments Data Science Journal fair research data assessment digital object evaluation maturity data management |
| title | The FAIR Data Maturity Model: An Approach to Harmonise FAIR Assessments |
| title_full | The FAIR Data Maturity Model: An Approach to Harmonise FAIR Assessments |
| title_fullStr | The FAIR Data Maturity Model: An Approach to Harmonise FAIR Assessments |
| title_full_unstemmed | The FAIR Data Maturity Model: An Approach to Harmonise FAIR Assessments |
| title_short | The FAIR Data Maturity Model: An Approach to Harmonise FAIR Assessments |
| title_sort | fair data maturity model an approach to harmonise fair assessments |
| topic | fair research data assessment digital object evaluation maturity data management |
| url | https://datascience.codata.org/articles/1241 |
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