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1		-== Publishing data, models and software via EBRAINS ==
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2	2
3		-The aim of this collab is to provide you with all the information you need to publish your experimental data, simulations, computational models, and software via EBRAINS. 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.
4	4
	20	+(% class="wikigeneratedid" id="HPublishingneurosciencedata2CmodelsandsoftwareviaEBRAINS" %)
	21	+(% style="font-size:2em" %)**Publishing neuroscience data, models and software via EBRAINS**
	22	+
	23	+(% class="wikigeneratedid" %)
	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]].
	25	+
5	5	{{box title="**Contents**"}}
6	6	{{toc depth="3" start="2"/}}
7	7	{{/box}}
8	8
	30	+== **Information to get started** ==
9	9
10		-(% style="text-align: center;" %)
11		-**Get started! **
	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. **
12	12
13		-(% style="text-align: center;" %)
14		-**[[REQUEST CURATION>>https://nettskjema.no/a/277393#/]] **
	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.
15	15
16		-(% style="text-align: center;" %)
17		- Search existing data, models and software in [[the EBRAINS Knowledge Graph Search>>https://kg.ebrains.eu/search/?facet_type[0]=Dataset]]
18	18
19		-----
	37	+(% class="box" style="text-align: center; font-size: 1.2em" %)
	38	+(((
	39	+Search existing data, models and software in the [[EBRAINS Knowledge Graph>>https://kg.ebrains.eu/search/?facet_type[0]=Dataset]]
	40	+)))
20	20
21		-=== **All neuroscience data are welcome** ===
22	22
23		-(% class="wikigeneratedid" id="H" %)
24		-[[image:image-20230324170829-2.png]]
	43	+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.
	44	+
25	25
26		-----
	46	+(% class="box infomessage" %)
	47	+(((
	48	+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.
	49	+)))
27	27
28		-=== **Benefits of sharing data ** ===
	51	+(% class="box successmessage" %)
	52	+(((
	53	+**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]]
	54	+)))
29	29
30		-By sharing your data via EBRAINS, you gain access to the following benefits:
	56	+----
31	31
32		-[[image:image-20230324170841-3.png]]
	58	+== **The EBRAINS curation process** ==
33	33
	60	+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.
34	34
	62	+>The EBRAINS curation process involves organising and annotating neuroscientific data to make the data discoverable and reusable.
35	35
36		-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}}.
	64	+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.
37	37
38		-----
	66	+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]].
39	39
40		-== **What is curation?** ==
	68	+The curation of data, models and software is different. Thus, below we explain the process for sharing for each research product separately.
41	41
42		->The EBRAINS data curation process involves organising and annotating neuroscientific data to make the data discoverable and reusable.
43	43
44		-Neuroscience data are multimodal, heterogenous, and organised in different ways. All these diverse data need to be categorised and described in a standardised manner so that they can be effectively searched, compared, and analysed by using the integrated tools and workflows on the EBRAINS platform. This effort is referred to as curation.
	71	+----
45	45
	73	+=== Step by step - Data ===
46	46
47		-Curated data, models and code are made available in the [[the EBRAINS Knowledge Graph>>https://kg.ebrains.eu/]].
48	48
	76	+[[image:image-20230326054341-1.png]]
49	49
50		-(% style="color:#e74c3c" %)Their comparability and
	78	+(% class="box floatinginfobox" id="share-data-infographic" %)
	79	+(((
	80	+(% style="text-align:center" %)
	81	+//Download our infographic//
	82	+//with all you need to know//
	83	+//to share data on EBRAINS: //
	84	+// //
	85	+[[[[image:image-20230324171114-2.png||height="150" width="106"]]>>https://drive.ebrains.eu/f/dfd374b9b43a458192e9/]]
	86	+)))
51	51
52		-(% style="color:#e74c3c" %)Sharing your data, models or code (research products) via EBRAINS makes it discoverable amongst other research products available in (%%)[[(% style="color:#e74c3c" %)the EBRAINS Knowledge Graph>>https://kg.ebrains.eu/]](%%). This is made possible by the highly flexible metadata framework describing neuroscience data in detail, [[(% style="color:#e74c3c" %)openMINDS>>https://github.com/HumanBrainProject/openMINDS]](%%). 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.
53	53
54		-----
	89	+==== **1. Provide some general information about your dataset** ====
55	55
56		-== **The data curation process** ==
57	57
58		-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. 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.
59	59
	93	+(% style="margin-right:10px" %)[[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#/]]. **
60	60
61		-Data, models and code are integrated into the [[EBRAINS Knowledge Graph>>url:https://kg.ebrains.eu/]] by using interoperable metadata schemas as defined in [[openMINDS>>url:https://github.com/HumanBrainProject/openMINDS/wiki]]. This makes the data and metadata discoverable in the [[KG Search>>url:https://search.kg.ebrains.eu/]] and programmatically via the [[KG API>>url:https://docs.kg.ebrains.eu/8387ccd27a186dea3dd0b949dc528842/api_endpoints.html]].
	95	+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.
62	62
63		-Data and models are linked to and discoverable via the species-specific [[EBRAINS Interactive 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]].
64	64
	98	+(% style="margin-right:10px" %)[[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]]**.
65	65
66		-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. 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. **Want to learn more about how to Prepare to Share? **Contact us!
	100	+This form collects the necessary information needed for us to evaluate whether we can ethically and legally share the data via EBRAINS.
67	67
68		-=== Step by step - Experimental data ===
	102	+See below for information about the ethical and legal aspects concerning sharing of human subject data.
69	69
70	70
71		-[[image:image-20230326054341-1.png]]
	105	+==== **2. Upload data ** ====
72	72
73		-==== **1. Provide some general information about your dataset** ====
	107	+(% class="box floatinginfobox" id="share-data-infographic" %)
	108	+(((
	109	+(% style="text-align:center" %)
	110	+//Download our infographic//
	111	+//with guidelines
	112	+on data organization: //
74	74
75		-The [[Curation request form>>https://nettskjema.no/a/277393#/]] 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.
	114	+(% style="text-align:center" %)
	115	+[[[[image:image-20230621121014-1.png||height="150" width="106"]]>>https://drive.ebrains.eu/lib/f5cf4964-f095-49bd-8c34-e4ffda05a497/file/ebrains-infographic-data-organisation.pdf/]]
	116	+)))
76	76
77		-The [[Ethics and Regulatory compliance form>>https://nettskjema.no/a/224765]] collects the necessary information needed for us to evaluate whether we can safely and legally share the data on the EBRAINS platforms.
	118	+(% style="margin-right:10px" %)[[image:https://lh5.googleusercontent.com/sieKO-kW8O18iPaUyonwyo4UfHBmtc2E9BDnjbx52j6J_uGmm-OzGAo7sloMk3sYwKa6QW3hYQsOA9N4H7uGQpca088Wrk0Nurpt_J3B0-NSbcaPNdZIh21otQcG6jnAxLGiKoEvkTyaDGTMk3fu7me8mQ=s2048||height="94px;" width="94px;"]](%%)**Ensure data is structured consistently prior to upload. **
78	78
	120	+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// //[[guidelines on data organization>>https://drive.ebrains.eu/smart-link/25299f04-c4e5-4028-8f5f-3b8208f9a532/]] for further guidance.
79	79
80		-==== **2. Upload data ** ====
	122	+(% style="margin-right:10px" %)[[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).**
81	81
82		-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. The data must be consistently structured prior to upload.
	124	+**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	83
84		-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.
	126	+**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.
85	85
86		-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.
87	87
	129	+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.
88	88
89	89	If a data collection is already uploaded elsewhere, we may link to the already existing repository.
90	90
...	...	@@ -91,168 +91,375 @@
91	91
92	92	==== **3. Submit metadata** ====
93	93
94		-Easily submit openMINDS-compatible metadata via our [[metadata wizard>>https://ebrains-metadata-wizard.apps.hbp.eu/]]. This form covers all the required metadata for sharing data via EBRAINS. When you're ready to 'Submit', the metadata and all uploaded files will be sent to the Curation team.
95	95
96		-For power-users interested in exploring the full span of the openMINDS framework, please check out the [[openMINDS GitHub>>https://github.com/HumanBrainProject/openMINDS]] to learn more about how to programmatically gather your metadata. A stable version of the openMINDS package can be found on [[PyPi>>https://pypi.org/project/openMINDS/]]. We accept openMINDS metadata as JSON-LD (share these with us via curation-support@ebrains.eu). Additional documentation of openMINDS metadata submodules and schemas can be found on [[the openMINDS GitHub Wiki>>https://humanbrainproject.github.io/openMINDS/]].
	137	+(% style="margin-right:10px" %)[[image:https://lh5.googleusercontent.com/WS4T2LhF9znWWChn3Z550agLrrb-KTWdYVsJSv0lh4cGjKbjuN1WV68WER9xkYqi1UqN7KYZz7bImYz3_TpOuTuvma7T192QUiUZoyJVPk1fj5NSDSQh_kpIeBufAOdDtsDRpPKK_P5EDPqRCTAaOTNyCw=s2048||height="91px;" width="91px;"]](%%)**Submit metadata using the **[[EBRAINS Metadata Wizard>>https://ebrains-metadata-wizard.apps.hbp.eu/]]** (opt. 1), or directly via the Knowledge Graph (opt. 2) **
97	97
	139	+**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
98	98
99		-==== **4. Write a Data Descriptor ** ====
	141	+**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	100
	143	+* 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.
	144	+* [[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.
	145	+* [[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.
	146	+
	147	+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.
	148	+
	149	+
	150	+==== **4. Write a Data Descriptor** ====
	151	+
	152	+
	153	+
	154	+(% style="margin-right:10px" %)[[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]]**.**
	155	+
101	101	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.
102	102
103		-[[The template >>https://drive.ebrains.eu/f/a2e07c95b1a54090bbbc/?dl=1]]safely guides you through the process of making one. Check out previous examples in the KG Search, e.g. the Data Descriptor for a dataset containing histology images of the rat brain stained for an anterograde tracer (see [[an example>>https://doi.org/10.25493/2MX9-3XF]]).
	158	+See our infographic about the data descriptor for inspiration or guidance.
104	104
	160	+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]]".
105	105
106	106	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.
107	107
108	108
109		-==== **5. Preview and publish ** ====
	165	+(% class="box floatinginfobox" id="data-descriptor-infographic" %)
	166	+(((
	167	+(% style="text-align:center" %)
	168	+//Download our infographic
	169	+about the EBRAINS Data//
	170	+//Descriptor//
	171	+// //
	172	+[[[[image:image-20230324171109-1.png||height="150" width="106"]]>>https://drive.ebrains.eu/f/c1ccb78be52e4bdba7cf/]]
	173	+)))
110	110
111		-A Curator will assemble a dataset in the EBRAINS Knowledge Graph that combines the data, metadata and data descriptor. Once ready, 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.
	175	+==== **5. Preview and publish** ====
112	112
113	113
	178	+(% style="margin-right:10px" %)[[image:https://lh4.googleusercontent.com/XqT26Q4yWJK26cjtjhI4ToXoZZMxhT9LimG4Hk9mePxy0-KPKgpVIzcuiP5mOQowBgf2JjkrWUq2VbCmafWWZPJplEZALnFOlCZHLlQgzOx7fFwoBteyi_IlMLkPBS9vtOcdNIZ59HyLnQz4RsTQ0lUrSw=s2048||height="91px;" width="91px;"]](%%)**Preview and approve the release of your dataset. **
	179	+
	180	+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.
	181	+
	182	+
	183	+
	184	+
114	114	----
115	115
116		-==== **Sharing human data ** ====
	187	+=== Step by Step - Models ===
117	117
118		-We must ensure data shared on EBRAINS 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]].
119	119
120		-(% class="box floatinginfobox" %)
121		-(((
122		-For **Human subject data**, the data must be //either//
	190	+==== 1. Start early ====
123	123
124		-- Post-mortem data
	192	+It is not necessary to wait until you are ready to publish to register your model with EBRAINS.
125	125
126		-- Aggregated data
	194	+By registering a model early in your project, you can take advantage of EBRAINS tools
	195	+to keep track of simulations and to share them with your collaborators.
127	127
128		-- Pseudonymized subject data with a legal basis for sharing (e.g. Informed Consent)
	197	+==== 2. Create/choose a Collab workspace ====
129	129
130		-(% class="small" %)//If you have human data that do not classify as any of the above, please get in touch and we will clarify the available options. //
131		-)))
	199	+We use EBRAINS Collaboratory "collab" workspaces to help manage the model curation process.
132	132
133		-Pseudonymized data is shared via the Human Data Gateway (HDG) due to GDPR regulations. The HDG adds an authentication layer to the data.
	201	+In particular, we use collab membership (the "Team") to control who can view or edit your model metadata prior to publication.
134	134
135		-**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.
136		-\\**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.
137		-\\**Human Data Gateway, Background**
138		-HDG was introduced in February 2021 and developed across multiple teams in the HBP. The initiative to create the service and the initial design originated from EBRAINS Curation in close collaboration with the Data compliance team and the HBP Data Governance Working Group. HDG is a response to the needs of multiple data providers who are bringing data of human origin to EBRAINS. HDG covers the sharing of a limited range of data of human origin, i.e., data without direct identifiers and with very few indirect identifiers (strongly pseudonymized, de-identified). It 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.
	203	+It is up to you whether you create a new collab for each model, or reuse an existing collab
	204	+(it is no problem to have multiple models associated with a single collab).
139	139
	206	+Collabs are also useful for storing simulation results, adding documentation for your model,
	207	+and/or providing tutorials in Jupyter notebooks.
140	140
	209	+==== 3. Upload code ====
	210	+
	211	+We recommend storing model code and/or configuration files in an online Git repository, for example on GitHub.
	212	+This repository should be public when you publish the model, but a private repository can be used for model development.
	213	+
	214	+Alternatively, you can upload code to the Collab Drive or Bucket storage.
	215	+
	216	+==== 4.Submit metadata ====
	217	+
	218	+We recommend submitting metadata using the Model Catalog app, installed in your collab.
	219	+
	220	+To install it:
	221	+
	222	+1. click the "+ Create" button
	223	+1. in the "Create Page" form, add a title, such as "Model Catalog", and select "Community App", then click "Create"
	224	+1. scroll down until you find the "Model Catalog" app, click "Select", then "Save & View"
	225	+
	226	+You will then see a table of all the models and validation tests associated with this collab.
	227	+If this is your first time using the app, the table will probably be empty.
	228	+To add your model, click "+", fill in the form, then click "Add model".
	229	+
	230	+As development of your model proceeds, you can easily register new versions of the code,
	231	+and new parameterizations, by clicking "Add new version".
	232	+
	233	+If you prefer not to use the app, you can instead fill in the [[Curation request form>>https://nettskjema.no/a/277393#/]].,
	234	+and you will be contacted by e-mail with further instructions.
	235	+
	236	+==== 5. Provide a reference dataset ====
	237	+
	238	+Once you're ready to publish your model entry in the EBRAINS Knowledge Graph,
	239	+we encourage you to provide a dataset containing the simulation results produced by your model,
	240	+following the process under "Step by step - Data" above.
	241	+
	242	+These reference data will be linked to the model, and will be helpful to anyone trying to
	243	+reuse your model.
	244	+
	245	+We will soon introduce a "Reproducible" badge for all models that include a reference dataset,
	246	+and whose simulation results can be reproduced by an EBRAINS curator.
	247	+
	248	+==== 6. Request publication, preview and publish ====
	249	+
	250	+Until you request your model entry to be published in the EBRAINS Knowledge Graph,
	251	+only members of the collab will be able to view the model entry, in the Model Catalog app
	252	+or using the Model Validation Python client.
	253	+
	254	+After publication, the model will appear in the [[EBRAINS public search results>>https://search.kg.ebrains.eu/?category=Model||rel="noopener noreferrer" target="_blank"]], and will receive a DOI.
	255	+
	256	+To request publication, [[contact EBRAINS support>>https://ebrains.eu/support||rel="noopener noreferrer" target="_blank"]], providing the collab name and the model name or ID.
	257	+
	258	+
	259	+Curators will then perform a number of checks:
	260	+
	261	+1. Does the model description provide sufficient context to understand the purpose and use of the model?
	262	+1. Does the code repository contain a licence file, explaining the conditions for reusing the code?
	263	+1. Does the model have a clearly defined version identifier (e.g. v1.0)? For models in a Git repository, the version identifier should match the name of a tag or release.
	264	+
	265	+The curators will also take a snapshot of your model code.
	266	+
	267	+* For models in public Git repositories, we archive a copy of the repository in [[Software Heritage>>https://www.softwareheritage.org/||rel="noopener noreferrer" target="_blank"]].
	268	+* For models in a collab Bucket or Drive, we make a read-only copy of the code in a public container in the EBRAINS repository.
	269	+
	270	+Once this is done, you will be invited to review a preview of how the model entry will appear in the KG Search,
	271	+and will have the opportunity to request modifications prior to approval and publication.
	272	+
141	141	----
142	142
143		-=== Step by Step - Models ===
	275	+=== Step by Step - Software ===
144	144
145		-[place-holder-process-diagram]
146	146
147		-==== **1. model step 1 ** ====
	278	+(% class="box floatinginfobox" id="software-curation-infographic" %)
	279	+(((
	280	+(% style="text-align:center" %)
	281	+//Software curation at a glance//
	282	+// //
	283	+[[[[image:Thumb2.png||alt="EBRAINS-Share-Software.pdf" height="287" width="197"]]>>attach:EBRAINS-Share-Software-4.pdf]]
	284	+)))
148	148
149		-Text
	286	+(% style="margin-left:15px" %)[[[[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"]]
150	150
	288	+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.
	289	+1. 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.
	290	+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.
151	151
152		-==== **2. model step 2** ====
	292	+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]].
153	153
154		-Text
	294	+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 on the right.
155	155
156	156
157	157	----
158	158
159		-=== Step by Step - Code ===
	299	+=== Sharing human subject data ===
160	160
161		-[place-holder-process-diagram]
	301	+(% class="box floatinginfobox" %)
	302	+(((
	303	+**Human subject data that can be shared on EBRAINS:**
	304	+// //
	305	+// - Post-mortem data//
	306	+// - Aggregated data//
	307	+// - Strongly pseudonymized or de-identified subject data//
	308	+// with a legal basis for sharing (e.g. Informed Consent)//
	309	+// //
162	162
163		-==== **1. code step 1 ** ====
	311	+(% class="small" %)
	312	+//If you have human data that does not qualify as any of the above,//
	313	+//please [[get in touch>>https://www.ebrains.eu/contact/]] and we will clarify the available options.//
	314	+)))
164	164
165		-Text
166	166
	317	+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]].
167	167
168		-==== **2. code step 2** ====
	319	+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).
169	169
170		-Text
	321	+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.
171	171
	323	+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.
	324	+
	325	+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.
	326	+
172	172	----
173	173
174		-== **Resources for researchers looking to share data** ==
	329	+== **The openMINDS metadata framework** ==
175	175
176		-Below you can find some resources that can come in handy if you are looking to share data via EBRAINS, or in general.
	331	+(% class="box floatinginfobox" %)
	332	+(((
	333	+[[[[image:https://github.com/HumanBrainProject/openMINDS/raw/main/img/light_openMINDS-logo.png||alt="openMINDS logo" height="87" width="164"]]>>https://github.com/HumanBrainProject/openMINDS]]
	334	+)))
177	177
	336	+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]].
	337	+
	338	+For feedback, requests, or contributions, please get in touch with the openMINDS development team via
	339	+
	340	+* the support-email: [[openminds@ebrains.eu>>path:mailto:openminds@ebrains.eu]]
	341	+* the [[GitHub issue tracker>>url:https://github.com/HumanBrainProject/openMINDS/issues]]
	342	+* the INCF NeuroStars [[openMINDS Community Forum>>url:https://neurostars.org/t/openminds-community-forum-virtual/20156]]
	343	+
178	178	----
179	179
180		-=== **Useful information about sharing of experimental data on EBRAINS ** ===
	346	+== **The curation team: meet the curators** ==
181	181
	348	+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.
182	182
183		-|(% style="width:593px" %)(((
184		-[[[[image:image-20230324171114-2.png]]>>https://drive.ebrains.eu/f/dfd374b9b43a458192e9/]]
185		-)))|(% style="width:1240px" %)(((
186		-[[[[image:image-20230324171109-1.png]]>>https://drive.ebrains.eu/f/c1ccb78be52e4bdba7cf/]]
	350	+The curators in EBRAINS are located in Oslo, Jülich, Trier and Paris.
	351	+
	352	+
	353	+**Located in Norway:**
	354	+
	355	+|(% style="width:303px" %)(((
	356	+[[image:My project2.jpg||height="209" width="167"]]
	357	+
	358	+**Archana Golla**
	359	+
	360	+(% class="small" %)Curation Scientist
	361	+Neuroscience (PhD)(%%)
	362	+(% class="small" style="--darkreader-inline-color:#d3cbbf; color:#4a5568" %)**Behavioral neuroscience and microscopy**
	363	+)))|(% style="width:303px" %)(((
	364	+[[image:Camilla.jpg||alt="My project.jpg" height="209" width="167"]]
	365	+
	366	+**Camilla H. Blixhavn**
	367	+
	368	+(% class="small" %)Curation Scientist,
	369	+Phd Student
	370	+Neuroscience (M. Sc.)(%%)
	371	+(% class="small" style="--darkreader-inline-color:#d3cbbf; color:#4a5568" %)**Neuroanatomy and data integration**
	372	+)))|(% style="width:303px" %)(((
	373	+[[image:My project (1).jpg||height="209" width="167"]]
	374	+
	375	+**Ingrid Reiten**
	376	+
	377	+(% class="small" %)Curation Scientist,
	378	+Phd Student
	379	+Neuroscience (M. Sc.)(%%)
	380	+(% class="small" style="--darkreader-inline-color:#d3cbbf; color:#4a5568" %)**Neuroanatomy and structural connectivity**
	381	+)))|(% style="width:303px" %)(((
	382	+[[image:My project1.jpg||height="209" width="167"]]
	383	+
	384	+**Sophia Pieschnik**
	385	+
	386	+(% class="small" %)Curation Scientist
	387	+Neurocognitive Psychology (M. Sc.)(%%)
	388	+(% class="small" style="--darkreader-inline-color:#d3cbbf; color:#4a5568" %)**Neuroimaging **
187	187	)))
188		-|(% style="width:593px" %)//Collection of useful information for researchers looking to share experimental data on EBRAINS.//|(% style="width:1240px" %)//The EBRAINS data descriptor//
189	189
190		-----
	391	+|(% style="width:303px" %)(((
	392	+[[image:My project.jpg||height="209" width="167"]]
191	191
192		-=== **Introduction to data organisation ** ===
	394	+**Heidi Kleven**
193	193
194		-Have you ever experienced not being able to find a file that you were sure you had somewhere? We have prepared a [[collection of guidelines>>https://drive.ebrains.eu/smart-link/25299f04-c4e5-4028-8f5f-3b8208f9a532/]] and [[advice>>https://drive.ebrains.eu/lib/f5cf4964-f095-49bd-8c34-e4ffda05a497/file/DataOrganisation.zip]] on how to organise files and folders to ensure consistency and reproducibility in the future.
	396	+(% class="small" %)Curation Scientist,
	397	+Phd Student
	398	+Neuroscience (M. Sc.)(%%)
	399	+(% class="small" style="--darkreader-inline-color:#d3cbbf; color:#4a5568" %)**Neuroanatomy and brain atlases**
	400	+)))| | |
195	195
196		-* Why is data organisation important?
197		-* How to organise my data repository?
198		-* What is a Data Descriptor and why do I need one?
	402	+
	403	+\\**Located in Germany:**
199	199
	405	+|(% style="width:303px" %)(((
	406	+[[image:My project (2).jpg||height="209" width="167"]]
	407	+
	408	+**Jan Gündling**
	409	+
	410	+(% class="small" %)Curation Scientist,
	411	+Phd Student
	412	+Sensors and Cognitive Psychology (M. Sc.)(%%)
	413	+(% class="small" style="--darkreader-inline-color:#d3cbbf; color:#4a5568" %)**Human-Computer Interaction**
	414	+)))|(% style="width:303px" %)(((
	415	+[[image:Lyuba.jpg||height="209" width="167"]]
	416	+
	417	+**Lyuba Zehl**
	418	+
	419	+(% class="small" %)Knowledge Systems Engineer
	420	+Dr. rer. nat. (Systems Neuroscience)(%%)
	421	+(% class="small" style="--darkreader-inline-color:#d3cbbf; color:#4a5568" %)**Standard development, data & knowledge management, interdisciplinary communication, data analysis**
	422	+)))|(% style="width:303px" %) |(% style="width:303px" %)
	423	+
200	200	----
201	201
202		-=== **Integrate your data in the EBRAINS atlas services** ===
	426	+== **Add practical value to your shared data, model or software** ==
203	203
204		-EBRAINS supports viewers for a variety of data, and is continuously looking to improve the services for visualising data. For 2D histology image data that is registered to an EBRAINS supported brain atlas, the data and the overlying atlas plates can be uploaded to the LocaliZoom viewer. See for example the [[LocaliZoom links available for this dataset>>https://doi.org/10.25493/T686-7BX]] as an example.
205	205
206		-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.
	429	+----
207	207
	431	+=== **Showcase shared data, models or software in other services** ===
	432	+
	433	+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.
	434	+
	435	+
	436	+|(% colspan="2" %)**Viewer for 2D images**
	437	+|[[image:MIO_screenshot.PNG]]|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]].
	438	+|(% colspan="2" %)**Viewer for sequential atlas-registered 2D images with annotation options**
	439	+|[[image:LZ_screenshot.PNG]]|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]].
	440	+|(% colspan="2" %)**Interactive 3D atlas viewer with options for data visualization**
	441	+|[[image:3Datlas_screenshot.PNG]]|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]].
	442	+|(% colspan="2" %)**Use your research product in an interactive publication**
	443	+|[[image:LivePaper_screenshot.PNG]]|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]].
	444	+
208	208	----
209	209
210		-=== **Common concerns - and answers ** ===
	447	+==== **Add a tutorial or learning resource ** ====
211	211
212		-(((
213		-==== ====
	449	+(% class="wikigeneratedid" id="H-LearningresourceA05Binformation5D" %)
	450	+(% style="--darkreader-inline-color:#ffffff; color:#000000" %)//More information will follow//
214	214
215		->
216	216
217		-(((
218		->The curation process is time consuming and difficult
219		-)))
220		-)))
	453	+==== **Create a workflow** ====
221	221
222		-(% class="wikigeneratedid" id="HHowcanIshareA0models3F" %)
223		-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.
	455	+(% class="wikigeneratedid" id="H-Workflows5Binformation5D" %)
	456	+(% style="--darkreader-inline-color:#ffffff; color:#000000" %)//More information will follow//
224	224
225		->Sharing my data is not beneficial for me - only for others
	458	+----
226	226
	460	+=== **The benefits of sharing data ** ===
227	227
228		-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.
	462	+By sharing your data via EBRAINS, you gain access to the following benefits:
229	229
230		->My data is too insignificant to share
	464	+[[image:image-20230324170841-3.png]]
231	231
232	232
233		-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.
234	234
235		->My data can easily be misused if I share it with the world
	468	+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.
236	236
	470	+----
237	237
238		-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.
	472	+=== **Frequently asked questions ** ===
239	239
240		->I don't think I'm allowed to share my data
	474	+(((
	475	+==== ====
241	241
	477	+(((
	478	+>Is the curation process time consuming and difficult?
	479	+)))
	480	+)))
242	242
243		-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.
	482	+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.
244	244
245		->I can't share my data before my paper is published
	484	+>Is sharing my data also beneficial for me or only for others?
246	246
	486	+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.
247	247
248		-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.
	488	+>Can my data be too insignificant to share?
249	249
250		->If I share my data before I publish the associated paper, I will lose my competitive edge
	490	+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.
251	251
	492	+>Can my data be easily misused if I share it?
252	252
253		-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.
	494	+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.
254	254
	496	+>Can I share my data before my paper is published?
255	255
	498	+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.
	499	+
	500	+>Can I lose my competitive edge if I share my data before I publish the associated paper?
	501	+
	502	+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.
	503	+
	504	+
256	256	----
257	257
258	258	== Contact ==
...	...	@@ -260,4 +260,6 @@
260	260	[[curation-support@ebrains.eu>>mailto:curation-support@ebrains.eu]]
261	261
262	262
	512	+== References ==
	513	+
263	263	{{putFootnotes/}}

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