In order to build a better ecosystem for data discovery tools the Data Discovery Implementation Group of GO Fair (https://www.go-fair.org/implementation-networks/overview/discovery) collected use cases between 2019 and 2020 from a variety of sources. We also detail the 'Actors' for these use cases and the 'Source' providing links, whenever possible. Since we found over a hundred individual use cases, we decided to cluster them to provide a better overview. The clustering, as well as the results of a small survey among data infrastructure specialists to find how they rate the importance of the clusters are detailed in the documentation to this dataset, a draft of which can currently be found here. The code and data to produce the figures in the documentation are available as R code in the GO_FAIR_Discovery_Use_case-master.zip file. The use cases themselves are available as Excel sheet and csv.
Stocktaking GO FAIR Discovery IN - Use cases, infrastructure (0.95)
Di Donato;Francesca;Bardi;Alessia;
2021
Abstract
In order to build a better ecosystem for data discovery tools the Data Discovery Implementation Group of GO Fair (https://www.go-fair.org/implementation-networks/overview/discovery) collected use cases between 2019 and 2020 from a variety of sources. We also detail the 'Actors' for these use cases and the 'Source' providing links, whenever possible. Since we found over a hundred individual use cases, we decided to cluster them to provide a better overview. The clustering, as well as the results of a small survey among data infrastructure specialists to find how they rate the importance of the clusters are detailed in the documentation to this dataset, a draft of which can currently be found here. The code and data to produce the figures in the documentation are available as R code in the GO_FAIR_Discovery_Use_case-master.zip file. The use cases themselves are available as Excel sheet and csv.| Campo DC | Valore | Lingua |
|---|---|---|
| dc.authority.orgunit | Istituto di linguistica computazionale "Antonio Zampolli" - ILC | - |
| dc.authority.people | Mathiak | it |
| dc.authority.people | Brigitte | it |
| dc.authority.people | Juty | it |
| dc.authority.people | Nick | it |
| dc.authority.people | Heger | it |
| dc.authority.people | Tina | it |
| dc.authority.people | Di Donato | it |
| dc.authority.people | Francesca | it |
| dc.authority.people | Jeschke | it |
| dc.authority.people | Jonathan | it |
| dc.authority.people | Widmann | it |
| dc.authority.people | Heinrich | it |
| dc.authority.people | Flügel | it |
| dc.authority.people | AnnaLena | it |
| dc.authority.people | Culina | it |
| dc.authority.people | Antica | it |
| dc.authority.people | Bardi | it |
| dc.authority.people | Alessia | it |
| dc.authority.people | Colomb | it |
| dc.authority.people | Julien | it |
| dc.authority.people | Kraker | it |
| dc.authority.people | Peter | it |
| dc.collection.id.s | aa7ef5cb-003d-421c-b2c8-870fc44d02e5 | * |
| dc.collection.name | 05.10 Dataset | * |
| dc.contributor.appartenenza | Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI | * |
| dc.contributor.appartenenza | Istituto di linguistica computazionale "Antonio Zampolli" - ILC | * |
| dc.contributor.appartenenza.mi | 918 | * |
| dc.contributor.appartenenza.mi | 973 | * |
| dc.date.accessioned | 2024/02/20 10:45:41 | - |
| dc.date.available | 2024/02/20 10:45:41 | - |
| dc.date.issued | 2021 | - |
| dc.description.abstracteng | In order to build a better ecosystem for data discovery tools the Data Discovery Implementation Group of GO Fair (https://www.go-fair.org/implementation-networks/overview/discovery) collected use cases between 2019 and 2020 from a variety of sources. We also detail the 'Actors' for these use cases and the 'Source' providing links, whenever possible. Since we found over a hundred individual use cases, we decided to cluster them to provide a better overview. The clustering, as well as the results of a small survey among data infrastructure specialists to find how they rate the importance of the clusters are detailed in the documentation to this dataset, a draft of which can currently be found here. The code and data to produce the figures in the documentation are available as R code in the GO_FAIR_Discovery_Use_case-master.zip file. The use cases themselves are available as Excel sheet and csv. | - |
| dc.description.affiliations | GESIS, ELIXIR-UK, Universitaet Potsdam, CNR-ILC, IGB, DKRZ, DKRZ, NIOO-KNAW, CNR-ISTI, KU-Berlin, OKM | - |
| dc.description.allpeople | Mathiak, ; Brigitte, ; Juty, ; Nick, ; Heger, ; Tina, ; Donato, Di; DI DONATO, Francesca; Jeschke, ; Jonathan, ; Widmann, ; Heinrich, ; Flügel, ; Annalena, ; Culina, ; Antica, ; Bardi, Alessia; Bardi, Alessia; Colomb, ; Julien, ; Kraker, ; Peter, | - |
| dc.description.allpeopleoriginal | Mathiak, Brigitte, Juty, Nick, Heger, Tina, Di Donato, Francesca, Jeschke, Jonathan, Widmann, Heinrich, Flügel, Anna-Lena, Culina, Antica, Bardi, Alessia, Colomb, Julien, & Kraker, Peter | - |
| dc.description.fulltext | none | en |
| dc.description.numberofauthors | 22 | - |
| dc.identifier.uri | https://hdl.handle.net/20.500.14243/431676 | - |
| dc.identifier.url | https://doi.org/10.5281/zenodo.5211196 | - |
| dc.language.iso | eng | - |
| dc.subject.keywords | discovery | - |
| dc.subject.keywords | gofair | - |
| dc.subject.singlekeyword | discovery | * |
| dc.subject.singlekeyword | gofair | * |
| dc.title | Stocktaking GO FAIR Discovery IN - Use cases, infrastructure (0.95) | en |
| dc.type.driver | info:eu-repo/semantics/other | - |
| dc.type.full | 05 Altro::05.10 Dataset | it |
| dc.type.miur | 295 | - |
| dc.ugov.descaux1 | 465241 | - |
| iris.orcid.lastModifiedDate | 2024/09/16 09:00:29 | * |
| iris.orcid.lastModifiedMillisecond | 1726470029259 | * |
| iris.sitodocente.maxattempts | 2 | - |
| Appare nelle tipologie: | 05.10 Dataset | |
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