Wiki source code of test-ir2

Version 147.5 by ingrreit on 2023/06/05 10:22

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47.2	1	== Publishing neuroscience data, models and software via EBRAINS ==
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146.2	5	The aim of this collab is to provide you with detailed information about publishing data, simulations, computational models, and software via EBRAINS. If you want a quick overview of the sharing process, see [[https:~~/~~/ebrains.eu/service/share-data>>https://ebrains.eu/service/share-data]].
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10.1	7	{{box title="Contents"}}
	8	{{toc depth="3" start="2"/}}
	9	{{/box}}
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146.2	12	== Information to get started ==
10.1	13
147.2	14	(% style="text-align: center;" %)
	15	Get started!
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147.2	17	(% style="text-align: center;" %)
	18	[[REQUEST CURATION>>https://nettskjema.no/a/277393#/]] to share data, simulations, computational models, and software, - or to add a new version of an existing one.
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	20	(% style="text-align: center;" %)
146.2	21	Have you already published your data somewhere else? You can increase the exposure and impact of your shared dataset by also listing it on EBRAINS.
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147.2	24	(% style="text-align: center;" %)
146.2	25	Search existing data, models and software in [[the EBRAINS Knowledge Graph Search>>https://kg.ebrains.eu/search/?facet_type[0]=Dataset]]
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	27
	28	EBRAINS accepts data from all modalities and from all species, as well as models, software, web services and metadata models (collectively referred to as research products) for sharing. You'll find detailed information about how to share each research product below.
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	31	(% class="box infomessage" %)
	32	(((
	33	We strongly recommend to start preparing for data sharing as early as possible. With a structured data repository and adequate notes on how the data was acquired, you greatly minimize the effort required to publish your data. The time it takes to share data on EBRAINS heavily depends on on the engagement from the researcher and how well the data and metadata is prepared before-hand. Contact us for personalised guidance on how to prepare for sharing.
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	36	(% class="box successmessage" %)
	37	(((
	38	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
	39	)))
	40
10.1	41	----
	42
30.1	43	== The EBRAINS curation process ==
10.1	44
29.1	45	In EBRAINS, multimodal and heterogenous neuroscience data, models and software are categorised and described in a standardised manner so that they can be effectively searched, compared, and analysed. This effort is referred to as curation.
10.1	46
30.1	47	>The EBRAINS curation process involves organising and annotating neuroscientific data to make the data discoverable and reusable.
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30.1	49	Behind this process is the EBRAINS Curation team. Our mandate is to support you in sharing your data in line with the [[FAIR principles>>https://www.go-fair.org/fair-principles/]], whether you choose to describe only the key aspects of your data, or can invest in adding more detailed metadata.
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147.2	51	Curated data, models and software are made available in [[the EBRAINS Knowledge Graph>>https://kg.ebrains.eu/]]. This makes the data and metadata discoverable in the [[Knowledge Graph Search>>url:https://search.kg.ebrains.eu/]] and the [[Knowledge Graph API>>url:https://docs.kg.ebrains.eu/8387ccd27a186dea3dd0b949dc528842/api_endpoints.html]]. The data, models and software are integrated in the EBRAINS Knowledge Graph by interoperable metadata schemas defined in [[openMINDS>>url:https://github.com/HumanBrainProject/openMINDS/wiki]].Data and models are linked to and discoverable via the species-specific [[EBRAINS siibra atlas viewer>>url:https://ebrains.eu/services/atlases/brain-atlases]] by using interoperable metadata schemas as defined in [[SANDS>>url:https://github.com/HumanBrainProject/SANDS/wiki]].
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147.2	53	The curation of data, models and software is different. Thus, below we explain the process for sharing for each research product separately.
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10.1	55
34.1	56	----
	57
147.3	58	=== Step by step - Data ===
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	60
23.2	61	[[image:image-20230326054341-1.png]]
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36.1	63	==== ====
	64
10.1	65	==== 1. Provide some general information about your dataset ====
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147.3	68	[[image:https://lh3.googleusercontent.com/zh7TvO6w04YGW9jIhfhmdT6CexdGs-AWOLfJXKRq7-tdHOu6ar1rOQx8o4rZevrjXqgPZ7-Ejv4b6X9XpgXuHpdUXi-mBTHIUnv5Vz-DktHt0sP-PZ3gE8XgZid3TV3swV1uTCBhHx11ge0pjP7RVxswGQ=s2048\|\|height="85px;" width="91px;"]] Fill in the [[Curation request form>>https://nettskjema.no/a/277393#/]]. This form collects preliminary information about your data, allowing us to assess whether the dataset fits within the scope of EBRAINS. The submission generates a curation ID allowing us to track the case.
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147.3	71	[[image:https://lh6.googleusercontent.com/yw442oS6BwZOlY-_0BoVxyCW3DrdcJ5ogCes92iOD16_rgNEVk56aNMDaVWXFfBLYv24bHzmGgBF9wg0szjH70xzuRTqxoQAeuy3knNO7axCHoyZDXwtyTcMgFnYwbOYxOT29LK-zchrUKLW6Mle93kOkQ=s2048\|\|height="94px;" width="94px;"]]Fill in the [[Ethics and Regulatory compliance form>>https://nettskjema.no/a/224765]]. 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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10.1	74	==== 2. Upload data ====
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147.3	77	[[image:https://lh5.googleusercontent.com/sieKO-kW8O18iPaUyonwyo4UfHBmtc2E9BDnjbx52j6J_uGmm-OzGAo7sloMk3sYwKa6QW3hYQsOA9N4H7uGQpca088Wrk0Nurpt_J3B0-NSbcaPNdZIh21otQcG6jnAxLGiKoEvkTyaDGTMk3fu7me8mQ=s2048\|\|height="94px;" width="94px;"]]Ensure data is structured consistently prior to upload. We look for organized data, not organized according to our standard. This is to support the broadest degree of sharing possible. We do however require that the data is organized in a consistent and precise manner. Please see our documentation for further guidance.
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147.3	80	[[image:https://lh5.googleusercontent.com/EWtYwfVlbeC-jqPasgmzidqc50GrkKIEgwXeUeql8aaMHIukmFdWEy0nufVWWATbxDDK3XwwZEDmASrbpCsBk1u0HpAd8x4ZgAMsMPRcWyrb9etlV6FgKE_QN2e6SqKxHE0rzkR8uI1rRW_5z21TFGYVnw=s2048\|\|height="91px;" width="91px;"]]Upload data to EBRAINS Storage, either using a drag-and-drop solution (opt. 1) or an interactive python script (opt. 2).
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147.3	82	//Opt. 1. //For smaller datasets with a reasonable amount of files, we recommend using the Collab-Bucket solution (drag-and-drop). A Collab Bucket must first be assigned to a dataset, which happens when a datasets is accepted for sharing.
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	84	//Opt. 2. //For larger datasets or datasets with a large amount of files, we recommend using a programmatic approach. The [[python script>>https://github.com/eapapp/ebrains-data-storage/tree/main/data-proxy]] is interactive and does not require any additional programming.
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	87	EBRAINS offers secure, long-term storage at [[CSCS Swiss National Supercomputing Centre>>url:https://www.cscs.ch/]], with currently no upper limit of storage capacity.
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10.1	89	If a data collection is already uploaded elsewhere, we may link to the already existing repository.
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	91
	92	==== 3. Submit metadata ====
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147.3	95	[[image:https://lh5.googleusercontent.com/WS4T2LhF9znWWChn3Z550agLrrb-KTWdYVsJSv0lh4cGjKbjuN1WV68WER9xkYqi1UqN7KYZz7bImYz3_TpOuTuvma7T192QUiUZoyJVPk1fj5NSDSQh_kpIeBufAOdDtsDRpPKK_P5EDPqRCTAaOTNyCw=s2048\|\|height="91px;" width="91px;"]]Submit metadata using our [[EBRAINS Metadata wizard>>https://ebrains-metadata-wizard.apps.hbp.eu/]] (opt. 1), or through direct interaction with the Knowledge Graph (opt. 2)
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147.3	97	//Opt. 1.// Manually submit the minimal required metadata via the [[EBRAINS Metadata wizard>>https://ebrains-metadata-wizard.apps.hbp.eu/]]. The minimal required metadata covers extended bibliographic information necessary to publish your dataset on EBRAINS. The submitted information, including uploaded files, will be sent to the Curation team automatically
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147.3	99	//Opt. 2.// To go beyond the minimal required metadata, you can directly interact with the Knowledge Graph (KG) in your private space. Within the private space, you can upload metadata and interact with them, moreover you can connect your metadata to existing publicly accessible entries. Access to your private space is granted upon the initiation of the curation process. You can access your private space via:
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	101	* Knowledge Graph Editor: This User Interface allows you to manually enter metadata into your KG space and validate metadata that are programmatically uploaded. The Editor contains a basic set of openMINDS metadata templates, but can be extended to the full openMINDS metadata model on request. Access is granted once the request is accepted.
	102	* [[Fairgraph>>https://fairgraph.readthedocs.io/en/stable/]]: This is the recommended software tool for programmatic interaction with the KG. It allows you to programmatically upload openMINDS compliant metadata into your KG space and interact with existing metadata.
	103	* [[KG Core Python SDK>>https://github.com/HumanBrainProject/kg-core-sdks]]: This python package gives you full freedom in interacting with he KG. It allows you to upload any JSON-LD with metadata into your private space. Note, for dataset publications in EBRAINS, the JSON-LD metadata files have to comply to openMINDS.
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	106	Datasets published through the EBRAINS Knowledge Graph have to be registered using openMINDS compliant metadata delivered as JSON-LD files. See this summary table for an overview of [[the minimally required openMINDS properties for publishing>>https://drive.ebrains.eu/lib/47995dbc-f576-4008-a76c-eefbfd818529/file/ebrains-minimum-required-metadata.xlsx]] on EBRAINS.
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	109	The openMINDS metadata framework
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	111	openMINDS (open Metadata Initiative for Neuroscience Data Structures) is a community-driven, open-source metadata framework for graph database systems, such as the EBRAINS Knowledge Graph. It is composed of linked metadata models, libraries of serviceable metadata instances, and supportive tooling ([[openMINDS Python>>url:https://pypi.org/project/openMINDS/]], openMINDS Matlab). For exploring the openMINDS schemas, go to the [[HTML documentation>>url:https://humanbrainproject.github.io/openMINDS/]]. For a full overview of the framework, go to [[the openMINDS collab>>url:https://wiki.ebrains.eu/bin/view/Collabs/openminds/]] or the [[GitHub repository>>https://github.com/HumanBrainProject/openMINDS]].
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	113	For feedback, requests, or contributions, please get in touch with the openMINDS development team via
	114
	115	* the support-email: [[openminds@ebrains.eu>>path:mailto:openminds@ebrains.eu]]
	116	* the [[GitHub issue tracker>>url:https://github.com/HumanBrainProject/openMINDS/issues]]
	117	* the INCF NeuroStars [[openMINDS Community Forum>>url:https://neurostars.org/t/openminds-community-forum-virtual/20156]]
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10.1	120	==== 4. Write a Data Descriptor ====
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147.3	123	[[image:https://lh4.googleusercontent.com/lMYEKOXzejbBydOdotWWteXQo7j363xRyntBGjcPZVEdtIU1CJYX7q1STpdr2JPZK4hpWWXk20UlkUOqDGL5kX6vnQVBSdrfUo6EGfXOwpuGq1Uygv0tTZJ0lRO6voJvg56QC2mufvjAcRXGfAKFOjtc6w=s2048\|\|height="94px;" width="94px;"]]Write a data descriptor by filling in [[this template>>https://drive.ebrains.eu/f/a2e07c95b1a54090bbbc/?dl=1]] . The Data Descriptor is a document helping others interpret and reuse (and prevent misuse) of your data, and is critical to achieve a basic level of FAIR. The document will be uploaded in the repository of the data, shared as a PDF.
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147.3	126	Check out previous examples in the KG Search! See e.g., the data descriptor for the dataset "[[Anterogradely labeled axonal projections from the orbitofrontal cortex in rat>>https://doi.org/10.25493/2MX9-3XF]]".
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10.1	128	Journal publications sufficiently describing the shared data, such as made available through [[Nature Scientific Data>>http://www.nature.com/sdata/about]], [[Elsevier Data in Brief>>http://www.journals.elsevier.com/data-in-brief/]], [[BMC Data note>>https://bmcresnotes.biomedcentral.com/submission-guidelines/preparing-your-manuscript/data-note]] and more, can replace the EBRAINS Data Descriptor.
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147.3	131	\|(% style="width:175px" %)[[[[image:image-20230324171109-1.png\|\|height="154" width="109"]]>>https://drive.ebrains.eu/f/c1ccb78be52e4bdba7cf/]]\|(% style="width:1662px" %)The EBRAINS Data descriptor at-a-glance
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10.1	134	==== 5. Preview and publish ====
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147.3	137	[[image:https://lh4.googleusercontent.com/XqT26Q4yWJK26cjtjhI4ToXoZZMxhT9LimG4Hk9mePxy0-KPKgpVIzcuiP5mOQowBgf2JjkrWUq2VbCmafWWZPJplEZALnFOlCZHLlQgzOx7fFwoBteyi_IlMLkPBS9vtOcdNIZ59HyLnQz4RsTQ0lUrSw=s2048\|\|height="91px;" width="91px;"]]Preview and approve the release of your dataset. Once a Curator has assembled the dataset in the EBRAINS Knowledge Graph, combining the data, metadata and data descriptor, the data provider will receive a private URL for previewing the dataset prior to release. We need an official approval from the data custodian{{footnote}}The Data Custodian is responsible for the content and quality of the Data and metadata, and is the person to be contacted by EBRAINS CS in case of any misconduct related to the Data. It is the obligation of a Data Custodian to keep EBRAINS informed about changes in the contact information of the authors of the Datasets provided by them ([[EBRAINS Data Provision Protocol - version 1.1>>https://strapi-prod.sos-ch-dk-2.exo.io/EBRAINS_Data_Provision_Protocol_dfe0dcb104.pdf]]).{{/footnote}} to release the dataset. Once released, a [[DataCite DOI>>https://datacite.org/]] will be generated for the dataset. If the identical data collection has received a DOI elsewhere, we recommend re-using the already issued DOI.
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10.1	140	----
	141
	142	==== Sharing human data ====
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	144	(% class="box floatinginfobox" %)
1.1	145	(((
147.3	146	Human subject data that can be shared on EBRAINS consists of:
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10.1	148	- Post-mortem data
	149	- Aggregated data
147.3	150	- Strongly pseudonymized or de-identified subject data with a legal basis for sharing (e.g. Informed Consent)
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147.3	152	(% 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. //
1.1	153	)))
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147.3	155	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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147.3	157	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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147.3	159	The Human Data Gateway (HDG) was introduced in February 2021 as a response to the needs of multiple data providers who are bringing human subject data to EBRAINS. HDG covers the sharing of strongly pseudonymized or de-identified data, a limited range human subject data without direct identifiers and with very few indirect identifiers.
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147.3	161	The HDG adds an an authentication layer on top of the data. This means that data users must request access to the data (via their EBRAINS account) and will receive access provided they actively accept the [[EBRAINS Access Policy>>https://ebrains.eu/terms#access-policy]], the [[EBRAINS General Terms of Use>>https://ebrains.eu/terms#general-terms-of-use]], and the [[EBRAINS Data Use Agreement>>https://ebrains.eu/terms#data-use-agreement]]. The account holder also have to accept that information about their request and access to specific data under HDG is being tracked and stored. Data owners must be aware that sharing under the HDG affects the legal responsibilities for the data. They must agree to joint control of the data (see the [[Data Provision Protocol v1>>url:https://strapi-prod.sos-ch-dk-2.exo.io/EBRAINS_Data_Provision_Protocol_dfe0dcb104.pdf]], section 1.4 - 1.5) and the Data Protection Officers of the responsible institutions must have accepted that the data can be shared under HDG.
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147.3	163	The HDG is an extension of the existing services and does not replace the future EBRAINS Service for sensitive data (planned for 2024) which is outside the domain of the current EBRAINS Data and Knowledge services.
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10.1	166	----
	167
	168	=== Step by Step - Models ===
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147.3	171	~1. Request curation using the [[Curation request form>>https://nettskjema.no/a/277393#/]]. You will be contacted by a curator with more information.
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	173
147.3	174	//Additional information will be added soon.//
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	176	----
	177
	178	=== Step by Step - Code ===
	179
141.2	180	[[[[image:swc-flow-no-header.png\|\|alt="swc-flow.png"]]>>https://www.ebrains.eu/tools/ebrains-curation-request-form\|\|rel="noopener noreferrer" target="_blank"]]
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147.5	182	~1. Fill in the [[request form>>https://www.ebrains.eu/tools/ebrains-curation-request-form]]. You'll be contacted by a curator with further instructions. In these instructions you will find the links to your software and software version entries in the Knowledge Graph.
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147.5	184	2. Enter the metadata of your software in your private space of the [[Knowledge Graph Editor>>url:https://editor.kg.ebrains.eu/]] by using the links provided by the curator. Please provide the metadata for your software as complete as possible. This makes it easier for users to find and use your software. If you have questions feel free to contact the curation support. After you have finished editing your entries, please let the curators know by replying to your ticket. We curate your metadata and get back to you, if necessary.
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147.5	186	3. After a quality check, we integrate and publish the information to the Knowledge Graph. Your software is then searchable and usable for the neuroscience community.[[[[image:Thumb.png\|\|alt="EBRAINS-Share-Software.pdf" height="286" style="float:right" width="195"]]>>attach:EBRAINS-Share-Software.pdf]]
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	188	If you want to add a new version to an already curated software, please request this via the [[curation request form>>https://nettskjema.no/a/277393]].
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	190	For more information, visit our [[Guide to Software Curation in the EBRAINS Knowledge Graph>>url:https://wiki.ebrains.eu/bin/view/Collabs/swc-guide]] or see our infographic.
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10.1	199	----
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147.4	201	== The curation team: meet the curators ==
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147.4	203	The EBRAINS curators help researchers publish their research using the EBRAINS Research Infrastructure. A curator’s job is similar to the job of an editor of a scientific journal, checking the data is organized, understandable, accessible and sufficiently described.
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147.4	206	The curators in EBRAINS are located in Oslo, Jülich, Trier and Paris.
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72.1	209	Located in Norway:
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98.1	211	\|(% style="width:303px" %)(((
113.1	212	[[image:My project2.jpg\|\|height="209" width="167"]]
97.2	213
105.1	214	Archana Golla
	215
111.1	216	(% class="small" %)Curation Scientist
116.1	217	Neuroscience (PhD)(%%)
120.1	218	(% class="small" style="color:#4a5568" %)Behavioral neuroscience and microscopy
105.1	219	)))\|(% style="width:303px" %)(((
142.2	220	[[image:Camilla.jpg\|\|alt="My project.jpg" height="209" width="167"]]
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122.1	222	Camilla H. Blixhavn
105.1	223
122.1	224	(% class="small" %)Curation Scientist,
	225	Phd Student
	226	Neuroscience (M. Sc.)(%%)
	227	(% class="small" style="color:#4a5568" %)Neuroanatomy and data integration
126.1	228	)))\|(% style="width:303px" %)(((
124.1	229	[[image:My project (1).jpg\|\|height="209" width="167"]]
105.1	230
	231	Ingrid Reiten
	232
111.1	233	(% class="small" %)Curation Scientist,
112.1	234	Phd Student
117.1	235	Neuroscience (M. Sc.)(%%)
120.1	236	(% class="small" style="color:#4a5568" %)Neuroanatomy and structural connectivity
126.1	237	)))\|(% style="width:303px" %)(((
124.1	238	[[image:My project1.jpg\|\|height="209" width="167"]]
105.1	239
122.1	240	Sophia Pieschnik
105.1	241
122.1	242	(% class="small" %)Curation Scientist
	243	Neurocognitive Psychology (M. Sc.)(%%)
	244	(% class="small" style="color:#4a5568" %)Neuroimaging
123.1	245	)))
72.1	246
143.2	247	\|(% style="width:303px" %)(((
142.2	248	[[image:My project.jpg\|\|height="209" width="167"]]
141.2	249
142.2	250	Heidi Kleven
141.2	251
142.2	252	(% class="small" %)Curation Scientist,
	253	Phd Student
	254	Neuroscience (M. Sc.)(%%)
	255	(% class="small" style="color:#4a5568" %)Neuroanatomy and brain atlases
	256	)))\| \| \|
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141.2	258
128.1	259	\\Located in Germany:
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143.2	261	\|(% style="width:303px" %)(((
115.1	262	[[image:My project (2).jpg\|\|height="209" width="167"]]
72.1	263
	264	Jan Gündling
	265
143.2	266	(% class="small" %)Curation Scientist,
131.2	267	Phd Student
117.1	268	Sensors and Cognitive Psychology (M. Sc.)(%%)
143.2	269	(% class="small" style="color:#4a5568" %)Human-Computer Interaction
	270	)))\|(% style="width:303px" %)(((
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143.2	283	Lyuba Zehl
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	285	(% class="small" %)Knowledge Systems Engineer
	286	Dr. rer. nat. (Systems Neuroscience)(%%)
	287	(% class="small" style="color:#4a5568" %)Standard development, data & knowledge management, interdisciplinary communication, data analysis
	288	)))\|(% style="width:303px" %) \|
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27.2	290	----
	291
37.1	292	== Information and resources for researchers looking to share data ==
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	294	Below you can find some resources that can come in handy if you are looking to share data via EBRAINS, or in general.
	295
	296	----
	297
58.1	298	=== Improve your research product ===
55.1	299
127.1	300	(% class="wikigeneratedid" %)
	301	{{mention reference="XWiki.adavison" style="FULL_NAME" anchor="XWiki-adavison-fkdv6h"/}}
	302
58.1	303	==== Add a tutorial or learning resource to your research product ====
55.1	304
58.1	305	==== (% style="color:#e74c3c" %)- Learning resource [information](%%) ====
55.1	306
58.1	307
	308	==== Create a workflow for .... ? ====
	309
	310	==== (% style="color:#e74c3c" %)- Workflows [information](%%) ====
	311
55.1	312	----
	313
62.1	314	=== Integrate your data, models or software with other services ===
60.1	315
	316	EBRAINS supports further integration for a variety of data, and is continuously looking to increase the number of interoperable services.
	317
64.1	318	* Integrate image data with //the Mio viewer//: EBRAINS Multi-Image OpenSeadragon viewer provides an intuitive way of navigating high-resolution 2D image series. It has browser-based classic pan and zoom capabilities. A collection can be displayed as a filmstrip (Filmstrip Mode) or as a table (Collection Mode) with adjustable number of row and columns. See [[Mio viewer links available for this dataset>>https://search.kg.ebrains.eu/?category=Dataset&q=nr2f1#9677359c-73fa-4425-b8fa-3de794e9017a]] as an example. MioViewer user manual is found [[here>>https://multi-image-osd.readthedocs.io/en/latest/index.html]].
63.1	319	* Integrate atlas-registered 2D image data with //the LocaliZoom viewer//: The EBRAINS LocaliZoom serial section viewer displays series of registered 2D section images with atlas overlay, allowing the users to zoom into high-resolution images and have information about the brain regions. See the [[LocaliZoom links available for this dataset>>https://doi.org/10.25493/T686-7BX]] as an example. LocaliZoom user manual is found [[here>>https://localizoom.readthedocs.io/en/latest/index.html]].
127.1	320	* Add your data, models or software to a// Live paper//: (% style="color:#e74c3c" %)[description] {{mention reference="XWiki.adavison" style="FULL_NAME" anchor="XWiki-adavison-62mbgl"/}}
63.1	321	* Integrate your data to //the Siibra//-explorer: The siibra-explorer is used for visualizing volumetric brain data in all the brain atlases provided by EBRAINS (Human, Monkey, Rat and Mouse). The siibra-explorer viewer uses siibra-api to enable navigation of brain region hierarchies, maps in different coordinate spaces, and linked regional data features. Furthermore, it is connected with the siibra toolsuite providing several analytical workflows. To learn more about how to integrate your data to atlases, check out the [[Atlas services>>https://ebrains.eu/services/atlases#Integratedatatoanatlas]] on ebrains.eu.
60.1	322
	323	----
	324
37.1	325	=== The benefits of sharing data ===
27.1	326
44.1	327	(% style="color:#000000" %)Sharing your data, models or code (research products) via EBRAINS makes it discoverable amongst other research products available in the (%%)[[(% style="color:#000000" %)EBRAINS Knowledge Graph>>https://kg.ebrains.eu/]](%%). This is made possible by the highly flexible metadata framework describing neuroscience data in detail.
33.1	328
43.1	329	(% style="color:#000000" %)EBRAINS is gradually implementing interconnected tools and analysis workflows developed in the Human Brain Project (HBP) to further enhance the output from adding your dataset to the database.
33.1	330
	331
27.1	332	By sharing your data via EBRAINS, you gain access to the following benefits:
	333
	334	[[image:image-20230324170841-3.png]]
	335
	336
	337
30.1	338	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.
27.1	339
30.1	340
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	342
40.1	343	=== At a glance: "Sharing experimental data on EBRAINS" ===
10.1	344
	345
46.1	346	\|(% style="width:439px" %)(((
47.1	347	[[[[image:image-20230324171114-2.png\|\|height="354" width="250"]]>>https://drive.ebrains.eu/f/dfd374b9b43a458192e9/]]
46.1	348	)))\|(% style="width:461px" %)(((
147.3	349
47.1	350	)))\|(% style="width:416px" %)[[[[image:image-20230330120354-1.png\|\|height="352" width="250"]]>>https://drive.ebrains.eu/f/707147a883b94fae8e69/]]
46.1	351	\|(% style="width:439px" %)//Collection of useful information for researchers looking to share experimental data on EBRAINS.//\|(% style="width:461px" %)//The EBRAINS data descriptor: a general overview //\|(% style="width:416px" %)//Introduction to data organization: A [[collection of guidelines>>https://drive.ebrains.eu/smart-link/25299f04-c4e5-4028-8f5f-3b8208f9a532/]] on how to organise files and folders to ensure consistency and reproducibility in the future. //
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	354
	355	=== Common concerns - and answers ===
	356
1.1	357	(((
10.1	358	==== ====
1.1	359
23.2	360	(((
20.1	361	>The curation process is time consuming and difficult
1.1	362	)))
19.1	363	)))
10.1	364
	365	(% class="wikigeneratedid" id="HHowcanIshareA0models3F" %)
	366	Publishing your data naturally takes some time and effort but we will support you as much as possible. If communication is on a regular basis, we are able to finish basic curation - from the initial contact to dataset release - within two weeks.
	367
	368	>Sharing my data is not beneficial for me - only for others
	369
	370
	371	When you publish your data via EBRAINS, we provide comprehensive data management support and safe long term storage - all free of charge. Additionally, your data can be cited, just like a scientific journal article. Sharing your data may even lead to new funding opportunities. Many funders specifically support projects that are part of the “Open Science” initiative.
	372
	373	>My data is too insignificant to share
	374
	375
	376	There is no such thing as insignificant data. Data that is considered insignificant for a given topic, may have great significance for another. By making “insignificant” data publicly available, other researchers may find something interesting that was off-topic for your own purposes.
	377
	378	>My data can easily be misused if I share it with the world
	379
	380
	381	Your data will be covered by a Creative Commons license of your choice. There are a variety of licenses available, enabling you to prevent use for specific purposes, e.g. commercial use.
	382
	383	>I don't think I'm allowed to share my data
	384
	385
	386	Many institutions are still very careful about what can be shared and how, but the situation is constantly evolving. As a researcher providing data, you will be asked to fill out an ethics compliance survey which survey to ensure that data published through the EBRAINS platform has been collected according to EU regulations. We are working on solutions for sharing anonymised human data that complies with GDPR standards to protect the identity of research subjects.
	387
	388	>I can't share my data before my paper is published
	389
	390
	391	If you do not want to share your data before publishing the results in an article, you can publish your dataset with an embargo status. This will make it possible to find information about the data without making the data itself available, and give you a citeable DOI.
	392
	393	>If I share my data before I publish the associated paper, I will lose my competitive edge
	394
	395
	396	Publishing your data does not mean that others can use it however they want. Use of your data will require citation, and by choosing an appropriate Creative Commons licence you decide what others are allowed to do with it. If you still feel worried, you can publish your data under embargo, and in this way delay the date of data release, but still make it possible for others to find the information about the data.
	397
	398
	399	----
	400
	401	== Contact ==
	402
	403	[[curation-support@ebrains.eu>>mailto:curation-support@ebrains.eu]]
	404
	405
	406	{{putFootnotes/}}
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Wiki source code of test-ir2

Data Curation