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33		-**Particular needs? Contact us! **The workflows for sharing can be modified for researchers or research groups aiming to frequently publish larger numbers of their research products through EBRAINS. Please contact the curation service team in such cases. Reach us at [[curation-support@ebrains.eu>>mailto:curation-support@ebrains.eu]]
	33	+**Particular needs? Contact us! **The workflows for sharing can be modified for researchers or research groups aiming to frequently publish larger numbers of their research products through EBRAINS. Please contact the curation service team in such cases
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36	36	----
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71	71	This form collects the necessary information needed for us to evaluate whether we can ethically and legally share the data via EBRAINS.
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73		-See below for information about the ethical and legal aspects concerning sharing of human subject data.
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75		-
76	76	==== **2. Upload data ** ====
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92	92	If a data collection is already uploaded elsewhere, we may link to the already existing repository.
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95		-==== **3. Submit metadata** ====
	93	+(% style="color:#1a202c; font-family:inherit; font-size:23px" %)**3. Submit metadata**
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98	98	[[image:https://lh5.googleusercontent.com/WS4T2LhF9znWWChn3Z550agLrrb-KTWdYVsJSv0lh4cGjKbjuN1WV68WER9xkYqi1UqN7KYZz7bImYz3_TpOuTuvma7T192QUiUZoyJVPk1fj5NSDSQh_kpIeBufAOdDtsDRpPKK_P5EDPqRCTAaOTNyCw=s2048||height="91px;" width="91px;"]]**Submit metadata using the **[[EBRAINS Wizard>>https://ebrains-metadata-wizard.apps.hbp.eu/]]** (opt. 1), or through direct interaction with the Knowledge Graph (opt. 2) **
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132	132	----
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134		-==== **Sharing human subject data ** ====
	132	+==== **Sharing human data ** ====
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144	144	(% class="small" %)//If you have human data that does not classify as any of the above, please get in touch and we will clarify the available options. //
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147		-Human subject data shared on EBRAINS must comply with [[GDPR >>https://gdpr-info.eu/]]and [[EU directives>>https://eur-lex.europa.eu/legal-content/EN/TXT/?uri=celex%3A32010L0063]]. The information we need to assess this is collected via our [[Ethics and Regulatory Compliance Survey>>https://nettskjema.no/a/224765]].
	145	+Human data shared on EBRAINS must comply with [[GDPR >>https://gdpr-info.eu/]]and [[EU directives>>https://eur-lex.europa.eu/legal-content/EN/TXT/?uri=celex%3A32010L0063]]. The information we need to assess this is collected via our [[Ethics and Regulatory Compliance Survey>>https://nettskjema.no/a/224765]].
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149	149	Post-mortem and aggregated human data can be shared openly, given direct identifiers in the metadata are removed. Strongly pseudonymized and de-identified data can be shared via the Human Data Gateway (HDG).
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297	297	== **Add practical value to your shared data, model or software** ==
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	298	+==== **Add a tutorial or learning resource ** ====
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	300	+(% class="wikigeneratedid" id="H-LearningresourceA05Binformation5D" %)
	301	+(% style="color:#000000" %)//More information will follow//
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	303	+
	304	+==== **Create a workflow** ====
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	306	+(% class="wikigeneratedid" id="H-Workflows5Binformation5D" %)
	307	+(% style="color:#000000" %)//More information will follow//
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302	302	=== **Showcase shared data, models or software in other services** ===
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324		-==== **Add a tutorial or learning resource ** ====
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327		-(% style="color:#000000" %)//More information will follow//
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330		-==== **Create a workflow** ====
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333		-(% style="color:#000000" %)//More information will follow//
334		-
335		-----
336		-
337	337	=== **The benefits of sharing data ** ===
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339	339	By sharing your data via EBRAINS, you gain access to the following benefits:
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345		-We support you to better follow the [[FAIR^^ ^^guiding principles>>https://www.nature.com/articles/sdata201618]] for data management and stewardship{{footnote}}Wilkinson, M., Dumontier, M., Aalbersberg, I. et al. The FAIR Guiding Principles for scientific data management and stewardship. Sci Data 3, 160018 (2016). https://doi.org/10.1038/sdata.2016.18 {{/footnote}}.  Publishing data, models or code via EBRAINS will provide you with a citeable [[DataCite DOI>>https://www.doi.org/the-identifier/resources/handbook/]] for your research product.
	341	+We support you to better follow the FAIR^^ ^^guiding principles for data management and stewardship{{footnote}}Wilkinson, M., Dumontier, M., Aalbersberg, I. et al. The FAIR Guiding Principles for scientific data management and stewardship. Sci Data 3, 160018 (2016). https://doi.org/10.1038/sdata.2016.18 {{/footnote}}.  Publishing data, models or code via EBRAINS will provide you with a citeable [[DataCite DOI>>https://www.doi.org/the-identifier/resources/handbook/]] for your research product.
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