ARTEMIS Data Management Plan
| Main Author: | Bastos, Joana |
|---|---|
| Other Authors: | Liise Lehtsalu, Pietro Zambelli, Leonardo Rosado, Daniele Vettorato |
| Format: | Document publication-datamanagementplan Journal |
| Bahasa: | eng |
| Terbitan: |
, 2022
|
| Subjects: | |
| Online Access: |
https://zenodo.org/record/6278561 |
| ctrlnum |
6278561 |
|---|---|
| fullrecord |
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<dc schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><contributor>Liise Lehtsalu</contributor><contributor>Pietro Zambelli</contributor><contributor>Leonardo Rosado</contributor><contributor>Daniele Vettorato</contributor><creator>Bastos, Joana</creator><date>2022-03-04</date><description>Data Management Plan (DMP) of the H2020 project ARTEMIS - An integrated appRoach To improve the Environmental perforMance of smart cItieS, Marie Skłodowska-Curie grant agreement No. 101026073.
This Data Management Plan (DMP) describes the data management life-cycle of the EU H2020 ARTEMIS project, including all data that will be collected, processed and/or generated within the project activities. In order to make research data Findable, Accessible, Interoperable and Re-usable (FAIR), the DMP outlines (i) how the research data will be handled during and after the end of the project; (ii) what data will be collected, processed and/or generated throughout the project; (iii) which methodologies and standards will be applied across the data management life-cycle; (iv) how the exploitation of data will be promoted, in particular, whether and how data will be shared and/or made accessible in open access (allowing adequate verification and reuse); and (v) how data will be maintained, preserved and curated, during and after the end of the project.</description><identifier>https://zenodo.org/record/6278561</identifier><identifier>10.5281/zenodo.6278561</identifier><identifier>oai:zenodo.org:6278561</identifier><language>eng</language><relation>info:eu-repo/grantAgreement/EC/Horizon 2020 Framework Programme - Standard European Fellowships/101026073/</relation><relation>doi:10.5281/zenodo.6278560</relation><relation>url:https://zenodo.org/communities/artemis</relation><rights>info:eu-repo/semantics/openAccess</rights><rights>https://creativecommons.org/licenses/by/4.0/legalcode</rights><subject>artemis</subject><subject>data management</subject><subject>smart cities</subject><subject>environmental sustainability</subject><subject>urban metabolism</subject><title>ARTEMIS Data Management Plan</title><type>Document:Document</type><type>Other:publication-datamanagementplan</type><recordID>6278561</recordID></dc>
|
| language |
eng |
| format |
Document:Document Document Other:publication-datamanagementplan Other Journal:Journal Journal |
| author |
Bastos, Joana |
| author2 |
Liise Lehtsalu Pietro Zambelli Leonardo Rosado Daniele Vettorato |
| title |
ARTEMIS Data Management Plan |
| publishDate |
2022 |
| topic |
artemis data management smart cities environmental sustainability urban metabolism |
| url |
https://zenodo.org/record/6278561 |
| contents |
Data Management Plan (DMP) of the H2020 project ARTEMIS - An integrated appRoach To improve the Environmental perforMance of smart cItieS, Marie Skłodowska-Curie grant agreement No. 101026073.
This Data Management Plan (DMP) describes the data management life-cycle of the EU H2020 ARTEMIS project, including all data that will be collected, processed and/or generated within the project activities. In order to make research data Findable, Accessible, Interoperable and Re-usable (FAIR), the DMP outlines (i) how the research data will be handled during and after the end of the project; (ii) what data will be collected, processed and/or generated throughout the project; (iii) which methodologies and standards will be applied across the data management life-cycle; (iv) how the exploitation of data will be promoted, in particular, whether and how data will be shared and/or made accessible in open access (allowing adequate verification and reuse); and (v) how data will be maintained, preserved and curated, during and after the end of the project. |
| id |
IOS16997.6278561 |
| institution |
ZAIN Publications |
| institution_id |
7213 |
| institution_type |
library:special library |
| library |
Cognizance Journal of Multidisciplinary Studies |
| library_id |
5267 |
| collection |
Cognizance Journal of Multidisciplinary Studies |
| repository_id |
16997 |
| subject_area |
Multidisciplinary |
| city |
Stockholm |
| province |
INTERNASIONAL |
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1 |
| repoId |
IOS16997 |
| first_indexed |
2022-06-06T04:26:08Z |
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2022-06-06T04:26:08Z |
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dc |
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1734902144828440576 |
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17.608969 |