Wiki source code of test-ir2

Version 169.1 by spieschnik on 2023/06/06 14:47

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	18
	19
47.2	20	== Publishing neuroscience data, models and software via EBRAINS ==
10.1	21
25.2	22
146.1	23	(% class="wikigeneratedid" %)
146.2	24	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]].
146.1	25
10.1	26	{{box title="Contents"}}
	27	{{toc depth="3" start="2"/}}
	28	{{/box}}
	29
146.2	30	== Information to get started ==
10.1	31
147.2	32	[[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.
	33
146.2	34	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.
10.1	35
	36
150.1	37	(% style="text-align: center;" %)
146.2	38	Search existing data, models and software in [[the EBRAINS Knowledge Graph Search>>https://kg.ebrains.eu/search/?facet_type[0]=Dataset]]
	39
	40
	41	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.
	42
	43
	44	(% class="box infomessage" %)
	45	(((
	46	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.
	47	)))
	48
	49	(% class="box successmessage" %)
	50	(((
159.1	51	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]]
146.2	52	)))
	53
10.1	54	----
	55
30.1	56	== The EBRAINS curation process ==
10.1	57
29.1	58	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	59
30.1	60	>The EBRAINS curation process involves organising and annotating neuroscientific data to make the data discoverable and reusable.
10.1	61
30.1	62	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.
10.1	63
147.2	64	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]].
34.1	65
147.2	66	The curation of data, models and software is different. Thus, below we explain the process for sharing for each research product separately.
47.3	67
10.1	68
34.1	69	----
	70
147.3	71	=== Step by step - Data ===
10.1	72
	73
23.2	74	[[image:image-20230326054341-1.png]]
10.1	75
167.1	76	(% class="box floatinginfobox" id="share-data-infographic" %)
	77	(((
	78	(% style="text-align:center" %)
	79	//Download our infographic//
	80	//with all you need to know//
	81	//to share data on EBRAINS: //
	82	// //
168.1	83	[[[[image:image-20230324171114-2.png\|\|height="150" width="106"]]>>https://drive.ebrains.eu/f/dfd374b9b43a458192e9/]]
	84
	85
167.1	86	)))
36.1	87
147.8	88
10.1	89	==== 1. Provide some general information about your dataset ====
	90
	91
151.1	92	[[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#/]].
10.1	93
151.1	94	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.
10.1	95
147.3	96
151.1	97	[[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]].
147.3	98
151.1	99	This form collects the necessary information needed for us to evaluate whether we can ethically and legally share the data via EBRAINS.
	100
158.1	101	See below for information about the ethical and legal aspects concerning sharing of human subject data.
151.1	102
158.1	103
10.1	104	==== 2. Upload data ====
	105
	106
151.1	107	[[image:https://lh5.googleusercontent.com/sieKO-kW8O18iPaUyonwyo4UfHBmtc2E9BDnjbx52j6J_uGmm-OzGAo7sloMk3sYwKa6QW3hYQsOA9N4H7uGQpca088Wrk0Nurpt_J3B0-NSbcaPNdZIh21otQcG6jnAxLGiKoEvkTyaDGTMk3fu7me8mQ=s2048\|\|height="94px;" width="94px;"]]Ensure data is structured consistently prior to upload.
10.1	108
151.1	109	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// //[[collection of guidelines on data organization>>https://drive.ebrains.eu/smart-link/25299f04-c4e5-4028-8f5f-3b8208f9a532/]] for further guidance.
	110
147.3	111	[[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).
10.1	112
147.3	113	//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.
	114
	115	//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.
	116
	117
	118	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.
	119
10.1	120	If a data collection is already uploaded elsewhere, we may link to the already existing repository.
	121
	122
160.1	123	==== 3. Submit metadata ====
147.8	124
	125
154.1	126	[[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)
10.1	127
154.1	128	//Opt. 1.// Manually submit the minimal required metadata via the [[EBRAINS 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
10.1	129
147.3	130	//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:
	131
	132	* 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.
	133	* [[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.
	134	* [[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.
	135
	136	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.
	137
	138
10.1	139	==== 4. Write a Data Descriptor ====
	140
151.1	141	[[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]] .
10.1	142
151.1	143	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.
10.1	144
151.1	145	See our infographic about the data descriptor for inspiration or guidance.
10.1	146
151.1	147	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]]".
147.3	148
10.1	149	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.
	150
168.1	151	(% class="box floatinginfobox" id="data-descriptor-infographic" %)
	152	(((
	153	(% style="text-align:center" %)
	154	//Download our infographic: //
	155	//The EBRAINS Data//
	156	//Descriptor at a glance//
	157	// //
	158	[[[[image:image-20230324171109-1.png\|\|height="150" width="106"]]>>https://drive.ebrains.eu/f/c1ccb78be52e4bdba7cf/]]
	159
	160	)))
10.1	161
	162	==== 5. Preview and publish ====
	163
	164
147.3	165	[[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.
10.1	166
147.3	167
10.1	168	----
	169
157.1	170	==== Sharing human subject data ====
10.1	171
	172	(% class="box floatinginfobox" %)
1.1	173	(((
156.1	174	Human subject data that can be shared on EBRAINS:
168.1	175	// //
	176	// - Post-mortem data//
	177	// - Aggregated data//
	178	// - Strongly pseudonymized or de-identified subject data//
	179	// with a legal basis for sharing (e.g. Informed Consent)//
	180	// //
1.1	181
168.1	182	(% class="small" %)
	183	//If you have human data that does not qualify as any of the above,//
	184	//please [[get in touch>>https://www.ebrains.eu/contact/]] and we will clarify the available options.//
1.1	185	)))
	186
157.1	187	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]].
1.1	188
147.3	189	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).
128.1	190
147.3	191	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.
1.1	192
147.3	193	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.
1.1	194
147.3	195	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.
	196
	197
10.1	198	----
	199
	200	=== Step by Step - Models ===
	201
127.1	202
147.3	203	~1. Request curation using the [[Curation request form>>https://nettskjema.no/a/277393#/]]. You will be contacted by a curator with more information.
10.1	204
	205
147.3	206	//Additional information will be added soon.//
10.1	207
	208	----
	209
147.6	210	=== Step by Step - Software ===
10.1	211
165.1	212	[[[[image:Screenshot 2023-06-06 1122082.png\|\|alt="swc-flow.png" height="136" width="637"]]>>https://www.ebrains.eu/tools/ebrains-curation-request-form\|\|rel="noopener noreferrer" target="_blank"]]
127.1	213
165.1	214	~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.
10.1	215
147.5	216	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.
130.1	217
153.1	218	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.
147.5	219
	220	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]].
	221
153.1	222	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 below.
147.5	223
165.1	224	(% style="text-align: right;" %)
166.1	225	==== //Software curation at a glance //[[[[image:Thumb2.png\|\|alt="EBRAINS-Share-Software.pdf" height="287" width="197"]]>>attach:EBRAINS-Share-Software-4.pdf]] ====
147.5	226
10.1	227	----
	228
152.1	229	== The openMINDS metadata framework ==
	230
	231	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]].
	232
	233	For feedback, requests, or contributions, please get in touch with the openMINDS development team via
	234
	235	* the support-email: [[openminds@ebrains.eu>>path:mailto:openminds@ebrains.eu]]
	236	* the [[GitHub issue tracker>>url:https://github.com/HumanBrainProject/openMINDS/issues]]
	237	* the INCF NeuroStars [[openMINDS Community Forum>>url:https://neurostars.org/t/openminds-community-forum-virtual/20156]]
	238
	239	----
	240
147.4	241	== The curation team: meet the curators ==
27.2	242
147.4	243	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.
27.2	244
147.4	245	The curators in EBRAINS are located in Oslo, Jülich, Trier and Paris.
	246
55.1	247
72.1	248	Located in Norway:
55.1	249
98.1	250	\|(% style="width:303px" %)(((
113.1	251	[[image:My project2.jpg\|\|height="209" width="167"]]
97.2	252
105.1	253	Archana Golla
	254
111.1	255	(% class="small" %)Curation Scientist
116.1	256	Neuroscience (PhD)(%%)
166.1	257	(% class="small" style="--darkreader-inline-color:#d3cbbf; color:#4a5568" %)Behavioral neuroscience and microscopy
105.1	258	)))\|(% style="width:303px" %)(((
142.2	259	[[image:Camilla.jpg\|\|alt="My project.jpg" height="209" width="167"]]
98.1	260
122.1	261	Camilla H. Blixhavn
105.1	262
122.1	263	(% class="small" %)Curation Scientist,
	264	Phd Student
	265	Neuroscience (M. Sc.)(%%)
166.1	266	(% class="small" style="--darkreader-inline-color:#d3cbbf; color:#4a5568" %)Neuroanatomy and data integration
126.1	267	)))\|(% style="width:303px" %)(((
124.1	268	[[image:My project (1).jpg\|\|height="209" width="167"]]
105.1	269
	270	Ingrid Reiten
	271
111.1	272	(% class="small" %)Curation Scientist,
112.1	273	Phd Student
117.1	274	Neuroscience (M. Sc.)(%%)
166.1	275	(% class="small" style="--darkreader-inline-color:#d3cbbf; color:#4a5568" %)Neuroanatomy and structural connectivity
126.1	276	)))\|(% style="width:303px" %)(((
124.1	277	[[image:My project1.jpg\|\|height="209" width="167"]]
105.1	278
122.1	279	Sophia Pieschnik
105.1	280
122.1	281	(% class="small" %)Curation Scientist
	282	Neurocognitive Psychology (M. Sc.)(%%)
166.1	283	(% class="small" style="--darkreader-inline-color:#d3cbbf; color:#4a5568" %)Neuroimaging
123.1	284	)))
72.1	285
143.2	286	\|(% style="width:303px" %)(((
142.2	287	[[image:My project.jpg\|\|height="209" width="167"]]
141.2	288
142.2	289	Heidi Kleven
141.2	290
142.2	291	(% class="small" %)Curation Scientist,
	292	Phd Student
	293	Neuroscience (M. Sc.)(%%)
166.1	294	(% class="small" style="--darkreader-inline-color:#d3cbbf; color:#4a5568" %)Neuroanatomy and brain atlases
142.2	295	)))\| \| \|
	296
141.2	297
128.1	298	\\Located in Germany:
72.1	299
143.2	300	\|(% style="width:303px" %)(((
115.1	301	[[image:My project (2).jpg\|\|height="209" width="167"]]
72.1	302
	303	Jan Gündling
	304
143.2	305	(% class="small" %)Curation Scientist,
131.2	306	Phd Student
117.1	307	Sensors and Cognitive Psychology (M. Sc.)(%%)
166.1	308	(% class="small" style="--darkreader-inline-color:#d3cbbf; color:#4a5568" %)Human-Computer Interaction
168.2	309	)))\|(% style="width:328px" %)(((
143.2	310
72.1	311
143.2	312
	313
	314
	315
	316
	317	Lyuba Zehl
	318
	319	(% class="small" %)Knowledge Systems Engineer
	320	Dr. rer. nat. (Systems Neuroscience)(%%)
166.1	321	(% class="small" style="--darkreader-inline-color:#d3cbbf; color:#4a5568" %)Standard development, data & knowledge management, interdisciplinary communication, data analysis
168.2	322	)))\|(% style="width:321px" %) \|(% style="width:324px" %)
143.2	323
27.2	324	----
	325
147.6	326	== Add practical value to your shared data, model or software ==
10.1	327
	328
147.6	329	----
58.1	330
147.6	331	=== Showcase shared data, models or software in other services ===
58.1	332
147.6	333	Below is a list of additional services that data, models or software shared via EBRAINS can benefit from. EBRAINS is continuously looking to increase the number of interoperable services.
58.1	334
147.7	335	Viewer for 2D images
55.1	336
147.6	337	* 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]].
60.1	338
147.7	339	Viewer for sequential atlas-registered 2D images with annotation options
60.1	340
63.1	341	* 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]].
147.6	342
147.7	343	Use your research product in an interactive publication
147.6	344
147.7	345	* Add your data, models or software to a// Live paper. //Read more about [[Live papers on ebrains.eu>>https://www.ebrains.eu/data/live-papers/live-papers]].
60.1	346
147.7	347	Interactive 3D atlas viewer with options for data visualization
	348
	349	* Upload 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 register your data to atlases, read about the [[Atlas services on ebrains.eu>>https://ebrains.eu/services/atlases#Integratedatatoanatlas]].
	350
60.1	351	----
	352
160.1	353	==== Add a tutorial or learning resource ====
	354
	355	(% class="wikigeneratedid" id="H-LearningresourceA05Binformation5D" %)
166.1	356	(% style="--darkreader-inline-color:#ffffff; color:#000000" %)//More information will follow//
160.1	357
	358
	359	==== Create a workflow ====
	360
	361	(% class="wikigeneratedid" id="H-Workflows5Binformation5D" %)
166.1	362	(% style="--darkreader-inline-color:#ffffff; color:#000000" %)//More information will follow//
160.1	363
	364	----
	365
37.1	366	=== The benefits of sharing data ===
27.1	367
	368	By sharing your data via EBRAINS, you gain access to the following benefits:
	369
	370	[[image:image-20230324170841-3.png]]
	371
	372
	373
159.1	374	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.
27.1	375
	376	----
	377
148.1	378	=== Frequently asked questions ===
10.1	379
1.1	380	(((
166.1	381	==== ====
1.1	382
23.2	383	(((
168.2	384	>Is the curation process time consuming and difficult?
1.1	385	)))
19.1	386	)))
10.1	387
168.2	388
10.1	389	(% class="wikigeneratedid" id="HHowcanIshareA0models3F" %)
168.2	390	No, if communication is on a regular basis, we are able to finish curation within two weeks. Publishing your data naturally takes some effort but we will support you as much as possible.
10.1	391
168.2	392	>Is sharing my data also beneficial for me or only for others?
10.1	393
	394
	395	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.
	396
168.2	397	>Can my data be too insignificant to share?
10.1	398
	399
168.2	400	No, 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.
10.1	401
168.2	402	>Can my data be easily misused if I share it?
10.1	403
	404
168.2	405	No, 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.
10.1	406
168.2	407	>Can I share my data before my paper is published?
10.1	408
	409
168.2	410	Yes, 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.
10.1	411
168.2	412	>Can I lose my competitive edge if I share my data before I publish the associated paper?
10.1	413
	414
168.2	415	No, 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.
10.1	416
	417
	418	----
	419
	420	== Contact ==
	421
	422	[[curation-support@ebrains.eu>>mailto:curation-support@ebrains.eu]]
	423
	424
	425	{{putFootnotes/}}
123.1	426	~)~)~)~)~)~)
	427	~)~)~)
	428	~)~)~)~)~)~)~)~)~)
	429	~)~)~)~)~)~)

Wiki source code of test-ir2

data-curation-copy