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19 -
20 20  == Publishing neuroscience data, models and software via EBRAINS ==
21 21  
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.
22 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 -
26 26  {{box title="**Contents**"}}
27 27  {{toc depth="3" start="2"/}}
28 28  {{/box}}
29 29  
30 -== **Information to get started** ==
31 31  
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. **
10 +(% style="text-align: center;" %)
11 +**Get started! **
33 33  
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.
13 +(% style="text-align: center;" %)
14 +**[[REQUEST CURATION>>https://nettskjema.no/a/277393#/]] **
35 35  
36 -
37 37  (% style="text-align: center;" %)
38 -Search existing data, models and software in [[the EBRAINS Knowledge Graph Search>>https://kg.ebrains.eu/search/?facet_type[0]=Dataset]]
17 + Search existing data, models and software in [[the EBRAINS Knowledge Graph Search>>https://kg.ebrains.eu/search/?facet_type[0]=Dataset]]
39 39  
40 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 -(((
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]]
52 -)))
53 -
54 54  ----
55 55  
56 56  == **The EBRAINS curation process** ==
... ... @@ -61,307 +61,206 @@
61 61  
62 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.
63 63  
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]].
30 +=== About the curation team ===
65 65  
66 -The curation of data, models and software is different. Thus, below we explain the process for sharing for each research product separately.
32 +[[image:fb6d6429-709e-4f4d-be3b-eab0a46695bd.JPG||height="184" width="137"]]
67 67  
34 +**Sophia Pieschnik**
35 +(% class="small" %)//Biology //
36 +Biology (B.Sc.)
37 +Neurocognitive Psychology (M.Sc.)
68 68  
69 -----
70 70  
71 -=== Step by step - Data ===
40 +(% class="box successmessage" %)
41 +(((
42 +**Particular needs? Contact us! **The process of sharing data can be modified to fit the needs of researchers and large-scale projects. Contact us if you have such requests and we'll be happy to work with you to find a solution that suits us both.
43 +)))
72 72  
45 +(% class="box floatinginfobox" %)
46 +(((
47 +**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>>mailto:curation-support@ebrains.eu]]. **
48 +)))
73 73  
74 -[[image:image-20230326054341-1.png]]
75 75  
76 -==== [[[[image:image-20230324171114-2.png||height="150" width="106"]]>>https://drive.ebrains.eu/f/dfd374b9b43a458192e9/]]//All you need to know to share data on EBRAINS.// ====
77 77  
78 78  
79 -==== **1. Provide some general information about your dataset** ====
80 80  
54 +We promote sharing of experimental data, models, software, web services, metadata models,
81 81  
82 -[[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#/]]. **
83 83  
84 -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.
57 +----
85 85  
59 +=== Step by step - Experimental data ===
86 86  
87 -[[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]]**.
88 88  
89 -This form collects the necessary information needed for us to evaluate whether we can ethically and legally share the data via EBRAINS.
62 +[[image:image-20230326054341-1.png]]
90 90  
91 -See below for information about the ethical and legal aspects concerning sharing of human subject data.
64 +==== ====
92 92  
66 +==== **1. Provide some general information about your dataset** ====
93 93  
94 -==== **2. Upload data ** ====
68 +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.
95 95  
70 +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.
96 96  
97 -[[image:https://lh5.googleusercontent.com/sieKO-kW8O18iPaUyonwyo4UfHBmtc2E9BDnjbx52j6J_uGmm-OzGAo7sloMk3sYwKa6QW3hYQsOA9N4H7uGQpca088Wrk0Nurpt_J3B0-NSbcaPNdZIh21otQcG6jnAxLGiKoEvkTyaDGTMk3fu7me8mQ=s2048||height="94px;" width="94px;"]]**Ensure data is structured consistently prior to upload. **
98 98  
99 -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.
73 +==== **2. Upload data ** ====
100 100  
101 -[[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).**
75 +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. 
102 102  
103 -//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.
77 +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.
104 104  
105 -//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.
79 +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.
106 106  
107 107  
108 -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. 
109 -
110 110  If a data collection is already uploaded elsewhere, we may link to the already existing repository.
111 111  
112 112  
113 113  ==== **3. Submit metadata** ====
114 114  
87 +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.
115 115  
116 -[[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) **
89 +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/]].
117 117  
118 -//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
119 119  
120 -//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:
121 -
122 -* 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.
123 -* [[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.
124 -* [[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.
125 -
126 -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.
127 -
128 -
129 129  ==== **4. Write a Data Descriptor ** ====
130 130  
131 -[[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]]** . **
132 -
133 133  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. 
134 134  
135 -See our infographic about the data descriptor for inspiration or guidance.
96 +[[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]]).
136 136  
137 -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]]".
138 138  
139 139  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.
140 140  
141 -==== [[[[image:image-20230324171109-1.png||height="150" width="106"]]>>https://drive.ebrains.eu/f/c1ccb78be52e4bdba7cf/]]//The EBRAINS Data descriptor at-a-glance// ====
142 142  
143 -
144 144  ==== **5. Preview and publish ** ====
145 145  
104 +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.
146 146  
147 -[[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.
148 148  
149 -
150 150  ----
151 151  
152 -==== **Sharing human subject data ** ====
109 +==== **Sharing human data ** ====
153 153  
111 +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]].
112 +
154 154  (% class="box floatinginfobox" %)
155 155  (((
156 -**Human subject data that can be shared on EBRAINS:**
115 +For **Human subject data**, the data must be //either//
157 157  
158 158  - Post-mortem data
118 +
159 159  - Aggregated data
160 -- Strongly pseudonymized or de-identified subject data with a legal basis for sharing (e.g. Informed Consent)
161 161  
162 -(% 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. //
121 +- Pseudonymized subject data with a legal basis for sharing (e.g. Informed Consent)
122 +
123 +(% 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. //
163 163  )))
164 164  
165 -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]].
126 +Pseudonymized data is shared via the Human Data Gateway (HDG) due to GDPR regulations. The HDG adds an authentication layer to the data.
166 166  
167 -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 +**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.
129 +\\**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.
130 +\\The Human Data Gateway (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.
168 168  
169 -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.
170 170  
171 -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.
172 -
173 -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.
174 -
175 -
176 176  ----
177 177  
178 178  === Step by Step - Models ===
179 179  
137 +[place-holder-process-diagram]
180 180  
181 -~1. Request curation using the [[Curation request form>>https://nettskjema.no/a/277393#/]]. You will be contacted by a curator with more information.
139 +==== **1. model step 1 ** ====
182 182  
141 +Text
183 183  
184 -//Additional information will be added soon.//
185 185  
186 -----
144 +==== **2. model step 2** ====
187 187  
188 -=== Step by Step - Software ===
146 +Text
189 189  
190 -[[[[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"]]
191 191  
192 -~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.
149 +----
193 193  
194 -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.
151 +=== Step by Step - Code ===
195 195  
196 -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.
153 +[place-holder-process-diagram]
197 197  
198 -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]].
155 +==== **1. code step 1 ** ====
199 199  
200 -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.
157 +Text
201 201  
202 -(% style="text-align: right;" %)
203 -==== //Software curation at a glance          //[[[[image:Thumb2.png||alt="EBRAINS-Share-Software.pdf" height="287" width="197"]]>>attach:EBRAINS-Share-Software-4.pdf]] ====
204 204  
205 -----
160 +==== **2. code step 2** ====
206 206  
207 -== **The openMINDS metadata framework** ==
162 +Text
208 208  
209 -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]].
210 -
211 -For feedback, requests, or contributions, please get in touch with the openMINDS development team via
212 -
213 -* the support-email: [[openminds@ebrains.eu>>path:mailto:openminds@ebrains.eu]]
214 -* the [[GitHub issue tracker>>url:https://github.com/HumanBrainProject/openMINDS/issues]]
215 -* the INCF NeuroStars [[openMINDS Community Forum>>url:https://neurostars.org/t/openminds-community-forum-virtual/20156]]
216 -
217 217  ----
218 218  
219 -== **The curation team: meet the curators** ==
166 +=== When you've completed the curation process ===
220 220  
221 -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.
168 +Curated data, models and software are made available in the [[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 programmatically via 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 as defined in [[openMINDS>>url:https://github.com/HumanBrainProject/openMINDS/wiki]].
222 222  
223 -The curators in EBRAINS are located in Oslo, Jülich, Trier and Paris. 
224 -
170 +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]].
225 225  
226 -**Located in Norway:**
227 -
228 -|(% style="width:303px" %)(((
229 -[[image:My project2.jpg||height="209" width="167"]]
230 -
231 -**Archana Golla**
232 -
233 -(% class="small" %)Curation Scientist
234 -Neuroscience (PhD)(%%)
235 -(% class="small" style="--darkreader-inline-color:#d3cbbf; color:#4a5568" %)**Behavioral neuroscience and microscopy**
236 -)))|(% style="width:303px" %)(((
237 -[[image:Camilla.jpg||alt="My project.jpg" height="209" width="167"]]
238 -
239 -**Camilla H. Blixhavn**
240 -
241 -(% class="small" %)Curation Scientist,
242 -Phd Student
243 -Neuroscience (M. Sc.)(%%)
244 -(% class="small" style="--darkreader-inline-color:#d3cbbf; color:#4a5568" %)**Neuroanatomy and data integration**
245 -)))|(% style="width:303px" %)(((
246 -[[image:My project (1).jpg||height="209" width="167"]]
247 -
248 -**Ingrid Reiten**
249 -
250 -(% class="small" %)Curation Scientist,
251 -Phd Student
252 -Neuroscience (M. Sc.)(%%)
253 -(% class="small" style="--darkreader-inline-color:#d3cbbf; color:#4a5568" %)**Neuroanatomy and structural connectivity**
254 -)))|(% style="width:303px" %)(((
255 -[[image:My project1.jpg||height="209" width="167"]]
256 -
257 -**Sophia Pieschnik**
258 -
259 -(% class="small" %)Curation Scientist
260 -Neurocognitive Psychology (M. Sc.)(%%)
261 -(% class="small" style="--darkreader-inline-color:#d3cbbf; color:#4a5568" %)**Neuroimaging **
262 -)))
263 -
264 -|(% style="width:303px" %)(((
265 -[[image:My project.jpg||height="209" width="167"]]
266 -
267 -**Heidi Kleven**
268 -
269 -(% class="small" %)Curation Scientist,
270 -Phd Student
271 -Neuroscience (M. Sc.)(%%)
272 -(% class="small" style="--darkreader-inline-color:#d3cbbf; color:#4a5568" %)**Neuroanatomy and brain atlases**
273 -)))| | |
274 -
275 -
276 -\\**Located in Germany:**
277 -
278 -|(% style="width:303px" %)(((
279 -[[image:My project (2).jpg||height="209" width="167"]]
280 -
281 -**Jan Gündling**
282 -
283 -(% class="small" %)Curation Scientist,
284 -Phd Student
285 -Sensors and Cognitive Psychology (M. Sc.)(%%)
286 -(% class="small" style="--darkreader-inline-color:#d3cbbf; color:#4a5568" %)**Human-Computer Interaction**
287 -)))|(% style="width:303px" %)(((
288 -
289 -
290 -
291 -
292 -
293 -
294 -
295 -
296 -
297 -
298 -
299 -
300 -**Lyuba Zehl**
301 -
302 -(% class="small" %)Knowledge Systems Engineer
303 -Dr. rer. nat. (Systems Neuroscience)(%%)
304 -(% class="small" style="--darkreader-inline-color:#d3cbbf; color:#4a5568" %)**Standard development, data & knowledge management, interdisciplinary communication, data analysis**
305 -)))|(% style="width:303px" %) |
306 -
307 307  ----
308 308  
309 -== **Add practical value to your shared data, model or software** ==
174 +== **Information and resources for researchers looking to share data** ==
310 310  
176 +Below you can find some resources that can come in handy if you are looking to share data via EBRAINS, or in general.
311 311  
312 312  ----
313 313  
314 -=== **Showcase shared data, models or software in other services** ===
180 +=== **The benefits of sharing data ** ===
315 315  
316 -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.
182 +(% 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.
317 317  
318 -**Viewer for 2D images **
184 +(% 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.
319 319  
320 -* 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]].
321 321  
322 -**Viewer for sequential atlas-registered 2D images with annotation options**
187 +By sharing your data via EBRAINS, you gain access to the following benefits:
323 323  
324 -* 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]].
189 +[[image:image-20230324170841-3.png]]
325 325  
326 -**Use your research product in an interactive publication **
327 327  
328 -* 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]].
329 329  
330 -**Interactive 3D atlas viewer with options for data visualization**
193 +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.
331 331  
332 -* 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]].
333 333  
334 334  ----
335 335  
336 -==== **Add a tutorial or learning resource ** ====
198 +(% style="font-family:inherit" %) (% style="color:#1a202c; font-family:inherit; font-size:26px" %)**What can I share on EBRAINS? **
337 337  
338 -(% class="wikigeneratedid" id="H-LearningresourceA05Binformation5D" %)
339 -(% style="--darkreader-inline-color:#ffffff; color:#000000" %)//More information will follow//
200 +(% class="wikigeneratedid" id="H" %)
201 +[[image:image-20230324170829-2.png]]
340 340  
341 341  
342 -==== **Create a workflow** ====
343 -
344 -(% class="wikigeneratedid" id="H-Workflows5Binformation5D" %)
345 -(% style="--darkreader-inline-color:#ffffff; color:#000000" %)//More information will follow//
346 -
347 347  ----
348 348  
349 -=== **The benefits of sharing data ** ===
206 +=== **At a glance: "Sharing experimental data on EBRAINS" ** ===
350 350  
351 -By sharing your data via EBRAINS, you gain access to the following benefits:
352 352  
353 -[[image:image-20230324170841-3.png]]
209 +|(% style="width:439px" %)(((
210 +[[[[image:image-20230324171114-2.png||height="354" width="250"]]>>https://drive.ebrains.eu/f/dfd374b9b43a458192e9/]]
211 +)))|(% style="width:461px" %)(((
212 +[[[[image:image-20230324171109-1.png||height="352" width="250"]]>>https://drive.ebrains.eu/f/c1ccb78be52e4bdba7cf/]]
213 +)))|(% style="width:416px" %)[[[[image:image-20230330120354-1.png||height="352" width="250"]]>>https://drive.ebrains.eu/f/707147a883b94fae8e69/]]
214 +|(% 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. //
354 354  
216 +----
355 355  
218 +=== **Integrate your data in the EBRAINS atlas services** ===
356 356  
357 -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.
220 +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.
358 358  
222 +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.
223 +
359 359  ----
360 360  
361 -=== **Frequently asked questions ** ===
226 +=== **Common concerns - and answers ** ===
362 362  
363 363  (((
364 -==== ====
229 +==== ====
365 365  
366 366  (((
367 367  >The curation process is time consuming and difficult
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410 410  
411 411  
412 412  {{putFootnotes/}}
413 -~)~)~)~)~)~)
414 -~)~)~)
415 -~)~)~)~)~)~)~)~)~)
416 -~)~)~)~)~)~)
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