Wiki source code of test-ir2

Version 147.4 by ingrreit on 2023/06/05 10:17

version	line-number	content
47.2	1	== Publishing neuroscience data, models and software via EBRAINS ==
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25.2	3
146.1	4	(% class="wikigeneratedid" %)
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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	11
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.
	19
	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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	23
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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	30
	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.
10.1	48
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.
47.3	54
10.1	55
34.1	56	----
	57
147.3	58	=== Step by step - Data ===
10.1	59
	60
23.2	61	[[image:image-20230326054341-1.png]]
10.1	62
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.
	83
	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:
	100
	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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	105
	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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	108
	109	The openMINDS metadata framework
	110
	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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	119
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 ====
	143
	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	)))
	154
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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	165
10.1	166	----
	167
	168	=== Step by Step - Models ===
	169
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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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135.1	182	1. Fill in the [[request form>>https://www.ebrains.eu/tools/ebrains-curation-request-form]].[[[[image:Thumb.png\|\|alt="EBRAINS-Share-Software.pdf" height="377" style="float:right" width="257"]]>>attach:EBRAINS-Share-Software.pdf]]
129.1	183	1. One of our creators will then open a ticket and contact you with futher instructions. In these instructions you will find the links to your software and software version entries in the Knowledge Graph.
	184	1. In the next step you need to enter the metadata of your software in the [[Knowledge Graph Editor>>url:https://editor.kg.ebrains.eu/]] by using the links provided in the ticket. The links will lead you to the space in the KG, which was created especially for you. You can start directly with the editing of your software. 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.
	185	1. 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.
	186	1. 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.
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130.1	188	If you want to add a new version to an already curated software, please write to [[curation-support@humanbrainproject.eu>>path:mailto:curation-support@humanbrainproject.eu]] or open a ticket at [[https:~~/~~/support.humanbrainproject.eu/.>>url:https://support.humanbrainproject.eu/]]
	189	For more information, visit our [[guide>>url:https://wiki.ebrains.eu/bin/view/Collabs/swc-guide]].
	190
10.1	191	----
	192
147.4	193	== The curation team: meet the curators ==
27.2	194
147.4	195	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	198	The curators in EBRAINS are located in Oslo, Jülich, Trier and Paris.
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72.1	201	Located in Norway:
55.1	202
98.1	203	\|(% style="width:303px" %)(((
113.1	204	[[image:My project2.jpg\|\|height="209" width="167"]]
97.2	205
105.1	206	Archana Golla
	207
111.1	208	(% class="small" %)Curation Scientist
116.1	209	Neuroscience (PhD)(%%)
120.1	210	(% class="small" style="color:#4a5568" %)Behavioral neuroscience and microscopy
105.1	211	)))\|(% style="width:303px" %)(((
142.2	212	[[image:Camilla.jpg\|\|alt="My project.jpg" height="209" width="167"]]
98.1	213
122.1	214	Camilla H. Blixhavn
105.1	215
122.1	216	(% class="small" %)Curation Scientist,
	217	Phd Student
	218	Neuroscience (M. Sc.)(%%)
	219	(% class="small" style="color:#4a5568" %)Neuroanatomy and data integration
126.1	220	)))\|(% style="width:303px" %)(((
124.1	221	[[image:My project (1).jpg\|\|height="209" width="167"]]
105.1	222
	223	Ingrid Reiten
	224
111.1	225	(% class="small" %)Curation Scientist,
112.1	226	Phd Student
117.1	227	Neuroscience (M. Sc.)(%%)
120.1	228	(% class="small" style="color:#4a5568" %)Neuroanatomy and structural connectivity
126.1	229	)))\|(% style="width:303px" %)(((
124.1	230	[[image:My project1.jpg\|\|height="209" width="167"]]
105.1	231
122.1	232	Sophia Pieschnik
105.1	233
122.1	234	(% class="small" %)Curation Scientist
	235	Neurocognitive Psychology (M. Sc.)(%%)
	236	(% class="small" style="color:#4a5568" %)Neuroimaging
123.1	237	)))
72.1	238
143.2	239	\|(% style="width:303px" %)(((
142.2	240	[[image:My project.jpg\|\|height="209" width="167"]]
141.2	241
142.2	242	Heidi Kleven
141.2	243
142.2	244	(% class="small" %)Curation Scientist,
	245	Phd Student
	246	Neuroscience (M. Sc.)(%%)
	247	(% class="small" style="color:#4a5568" %)Neuroanatomy and brain atlases
	248	)))\| \| \|
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141.2	250
128.1	251	\\Located in Germany:
72.1	252
143.2	253	\|(% style="width:303px" %)(((
115.1	254	[[image:My project (2).jpg\|\|height="209" width="167"]]
72.1	255
	256	Jan Gündling
	257
143.2	258	(% class="small" %)Curation Scientist,
131.2	259	Phd Student
117.1	260	Sensors and Cognitive Psychology (M. Sc.)(%%)
143.2	261	(% class="small" style="color:#4a5568" %)Human-Computer Interaction
	262	)))\|(% style="width:303px" %)(((
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143.2	275	Lyuba Zehl
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	277	(% class="small" %)Knowledge Systems Engineer
	278	Dr. rer. nat. (Systems Neuroscience)(%%)
	279	(% class="small" style="color:#4a5568" %)Standard development, data & knowledge management, interdisciplinary communication, data analysis
	280	)))\|(% style="width:303px" %) \|
	281
27.2	282	----
	283
37.1	284	== Information and resources for researchers looking to share data ==
10.1	285
	286	Below you can find some resources that can come in handy if you are looking to share data via EBRAINS, or in general.
	287
	288	----
	289
58.1	290	=== Improve your research product ===
55.1	291
127.1	292	(% class="wikigeneratedid" %)
	293	{{mention reference="XWiki.adavison" style="FULL_NAME" anchor="XWiki-adavison-fkdv6h"/}}
	294
58.1	295	==== Add a tutorial or learning resource to your research product ====
55.1	296
58.1	297	==== (% style="color:#e74c3c" %)- Learning resource [information](%%) ====
55.1	298
58.1	299
	300	==== Create a workflow for .... ? ====
	301
	302	==== (% style="color:#e74c3c" %)- Workflows [information](%%) ====
	303
55.1	304	----
	305
62.1	306	=== Integrate your data, models or software with other services ===
60.1	307
	308	EBRAINS supports further integration for a variety of data, and is continuously looking to increase the number of interoperable services.
	309
64.1	310	* 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	311	* 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	312	* 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	313	* 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	314
	315	----
	316
37.1	317	=== The benefits of sharing data ===
27.1	318
44.1	319	(% 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	320
43.1	321	(% 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	322
	323
27.1	324	By sharing your data via EBRAINS, you gain access to the following benefits:
	325
	326	[[image:image-20230324170841-3.png]]
	327
	328
	329
30.1	330	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	331
30.1	332
27.1	333	----
	334
40.1	335	=== At a glance: "Sharing experimental data on EBRAINS" ===
10.1	336
	337
46.1	338	\|(% style="width:439px" %)(((
47.1	339	[[[[image:image-20230324171114-2.png\|\|height="354" width="250"]]>>https://drive.ebrains.eu/f/dfd374b9b43a458192e9/]]
46.1	340	)))\|(% style="width:461px" %)(((
147.3	341
47.1	342	)))\|(% style="width:416px" %)[[[[image:image-20230330120354-1.png\|\|height="352" width="250"]]>>https://drive.ebrains.eu/f/707147a883b94fae8e69/]]
46.1	343	\|(% 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. //
1.1	344
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	346
	347	=== Common concerns - and answers ===
	348
1.1	349	(((
10.1	350	==== ====
1.1	351
23.2	352	(((
20.1	353	>The curation process is time consuming and difficult
1.1	354	)))
19.1	355	)))
10.1	356
	357	(% class="wikigeneratedid" id="HHowcanIshareA0models3F" %)
	358	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.
	359
	360	>Sharing my data is not beneficial for me - only for others
	361
	362
	363	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.
	364
	365	>My data is too insignificant to share
	366
	367
	368	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.
	369
	370	>My data can easily be misused if I share it with the world
	371
	372
	373	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.
	374
	375	>I don't think I'm allowed to share my data
	376
	377
	378	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.
	379
	380	>I can't share my data before my paper is published
	381
	382
	383	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.
	384
	385	>If I share my data before I publish the associated paper, I will lose my competitive edge
	386
	387
	388	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.
	389
	390
	391	----
	392
	393	== Contact ==
	394
	395	[[curation-support@ebrains.eu>>mailto:curation-support@ebrains.eu]]
	396
	397
	398	{{putFootnotes/}}
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Wiki source code of test-ir2

Data Curation