Changes for page Data Curation

Last modified by abonard on 2025/06/03 10:55

From 208.1 to 207.1 From 217.3 to 217.2

From version 217.2

edited by eapapp
on 2024/01/17 17:03

Change comment: Updated link to minimally required metadata file

To version 208.1

edited by ingrreit
on 2023/07/04 15:46

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--Data Curation
++test-ir2

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--Collabs.WebHome
++CollabClass

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--XWiki.eapapp
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  The curation of data, models and software is different. Thus, below we explain the process for sharing for each research product separately.
--**Before you get started, make sure you[[ sign up for a free EBRAINS account>>https://www.ebrains.eu/page/sign-up]]. This is needed to complete the data sharing process. **
--
  ----
  === Step by step - Data ===
@@ -146,7 +146,7 @@
  * [[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.
  * [[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.
--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/f/3e226ad165054b35b456/]] on EBRAINS.
++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.
  ==== **4. Write a Data Descriptor** ====
@@ -345,92 +345,8 @@
  ----
--== **Add practical value to your shared data, model or software** ==
++== **The curation team: meet the curators** ==
--
--=== **Showcase shared data, models or software in other services** ===
--
--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.
--
--
--|(% colspan="2" %)**Viewer for 2D images**
--|[[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]].
--|(% colspan="2" %)**Viewer for sequential atlas-registered 2D images with annotation options**
--|[[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]].
--|(% colspan="2" %)**Interactive 3D atlas viewer with options for data visualization**
--|[[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]].
--|(% colspan="2" %)**Use your research product in an interactive publication**
--|[[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]].
--
------
--
--==== **Add a tutorial or learning resource ** ====
--
--(% class="wikigeneratedid" id="H-LearningresourceA05Binformation5D" %)
--(% style="--darkreader-inline-color:#e8e6e3; color:#000000" %)//More information will follow//
--
--
--==== **Create a workflow** ====
--
--(% class="wikigeneratedid" id="H-Workflows5Binformation5D" %)
--(% style="--darkreader-inline-color:#e8e6e3; color:#000000" %)//More information will follow//
--
------
--
--== **EBRAINS commits to the FAIR principles** ==
--
--In 2016, the 'FAIR Guiding Principles for the management and guardianship of scientific data'{{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}} were introduced to the scientific community. The objective of the authors was to provide a set of general recommendations aimed at enhancing the Findability, Accessibility, Interoperability, and Reusability of digital resources (data). They emphasize the importance of making data more open, discoverable, and usable, ultimately facilitating collaboration and knowledge sharing within the scientific community. Today, the FAIR principles are widely recognized and adopted as best practices in data management and stewardship across scientific fields.
--
--In EBRAINS, all datasets, models and software shared go through a streamlined curation process that ensures relevant annotation of the data using the [[openMINDS>>url:https://github.com/HumanBrainProject/openMINDS]] metadata framework and integration into the [[EBRAINS Knowledge Graph>>url:https://docs.kg.ebrains.eu/]] metadata management system. The research products are Findable and Accessible through the [[Knowledge Graph Search>>url:https://search.kg.ebrains.eu/?category=Dataset]] as dataset/model/software cards that display further information regarding the dataset's Interoperability and Reusability.
--
--To further specify how EBRAINS aligns with the FAIR principles, we have assessed the FAIRness of datasets shared in the EBRAINS Knowledge Graph following the [[FAIRsFAIR Data Object Assessment Metrics>>https://zenodo.org/record/6461229||style="background-color: rgb(255, 255, 255); --darkreader-inline-bgcolor: #181a1b;"]]: see our **[[FAIR assessment of EBRAINS datasets>>doc:.FAIR assessment of EBRAINS datasets.WebHome]]. **
--
--
------
--
--== **General benefits of sharing data ** ==
--
--By sharing your data via EBRAINS, you gain access to the following benefits:
--
--[[image:image-20230324170841-3.png]]
--
--
--
--We support you to better follow the [[FAIR^^ ^^guiding principles>>https://www.nature.com/articles/sdata201618]] for data management and stewardship. 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.
--
------
--
--== **Frequently asked questions ** ==
--
-->Is the curation process time consuming and difficult?
--
--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.
--
-->Is sharing my data also beneficial for me or only for others?
--
--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.
--
-->Can my data be too insignificant to share?
--
--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.
--
-->Can my data be easily misused if I share it?
--
--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.
--
-->Can I share my data before my paper is published?
--
--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.
--
-->Can I lose my competitive edge if I share my data before I publish the associated paper?
--
--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.
--
--
------
--
--== (% style="--darkreader-inline-color:#d2cec8; color:#1a202c; font-family:inherit; font-size:29px" %)**The curation team: meet the curators**(%%) ==
--
  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.
  The curators in EBRAINS are located in Oslo, Jülich, Trier and Paris.
@@ -445,7 +445,7 @@
  (% class="small" %)Curation Scientist
  Neuroscience (PhD)(%%)
--(% class="small" style="--darkreader-inline-color:#b0a99f; color:#4a5568" %)**Behavioral neuroscience and microscopy**
++(% class="small" style="--darkreader-inline-color:#d3cbbf; color:#4a5568" %)**Behavioral neuroscience and microscopy**
  )))|(% style="width:303px" %)(((
  [[image:Camilla.jpg||alt="My project.jpg" height="209" width="167"]]
@@ -454,7 +454,7 @@
  (% class="small" %)Curation Scientist,
  Phd Student
  Neuroscience (M. Sc.)(%%)
--(% class="small" style="--darkreader-inline-color:#b0a99f; color:#4a5568" %)**Neuroanatomy and data integration**
++(% class="small" style="--darkreader-inline-color:#d3cbbf; color:#4a5568" %)**Neuroanatomy and data integration**
  )))|(% style="width:303px" %)(((
  [[image:My project (1).jpg||height="209" width="167"]]
@@ -463,7 +463,7 @@
  (% class="small" %)Curation Scientist,
  Phd Student
  Neuroscience (M. Sc.)(%%)
--(% class="small" style="--darkreader-inline-color:#b0a99f; color:#4a5568" %)**Neuroanatomy and structural connectivity**
++(% class="small" style="--darkreader-inline-color:#d3cbbf; color:#4a5568" %)**Neuroanatomy and structural connectivity**
  )))|(% style="width:303px" %)(((
  [[image:My project1.jpg||height="209" width="167"]]
@@ -471,7 +471,7 @@
  (% class="small" %)Curation Scientist
  Neurocognitive Psychology (M. Sc.)(%%)
--(% class="small" style="--darkreader-inline-color:#b0a99f; color:#4a5568" %)**Neuroimaging **
++(% class="small" style="--darkreader-inline-color:#d3cbbf; color:#4a5568" %)**Neuroimaging **
  )))
  |(% style="width:303px" %)(((
@@ -482,7 +482,7 @@
  (% class="small" %)Curation Scientist,
  Phd Student
  Neuroscience (M. Sc.)(%%)
--(% class="small" style="--darkreader-inline-color:#b0a99f; color:#4a5568" %)**Neuroanatomy and brain atlases**
++(% class="small" style="--darkreader-inline-color:#d3cbbf; color:#4a5568" %)**Neuroanatomy and brain atlases**
  )))| | |
@@ -496,7 +496,7 @@
  (% class="small" %)Curation Scientist,
  Phd Student
  Sensors and Cognitive Psychology (M. Sc.)(%%)
--(% class="small" style="--darkreader-inline-color:#b0a99f; color:#4a5568" %)**Human-Computer Interaction**
++(% class="small" style="--darkreader-inline-color:#d3cbbf; color:#4a5568" %)**Human-Computer Interaction**
  )))|(% style="width:303px" %)(((
  [[image:Lyuba.jpg||height="209" width="167"]]
@@ -504,28 +504,106 @@
  (% class="small" %)Knowledge Systems Engineer
  Dr. rer. nat. (Systems Neuroscience)(%%)
--(% class="small" style="--darkreader-inline-color:#b0a99f; color:#4a5568" %)**Standard development, data & knowledge management, interdisciplinary communication, data analysis**
++(% class="small" style="--darkreader-inline-color:#d3cbbf; color:#4a5568" %)**Standard development, data & knowledge management, interdisciplinary communication, data analysis**
  )))|(% style="width:303px" %) |(% style="width:303px" %)
  ----
++== **Add practical value to your shared data, model or software** ==
  ----
++=== **Showcase shared data, models or software in other services** ===
++
++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.
++
++
++|(% colspan="2" %)**Viewer for 2D images**
++|[[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]].
++|(% colspan="2" %)**Viewer for sequential atlas-registered 2D images with annotation options**
++|[[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]].
++|(% colspan="2" %)**Interactive 3D atlas viewer with options for data visualization**
++|[[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]].
++|(% colspan="2" %)**Use your research product in an interactive publication**
++|[[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]].
++
++----
++
++==== **Add a tutorial or learning resource ** ====
++
++(% class="wikigeneratedid" id="H-LearningresourceA05Binformation5D" %)
++(% style="--darkreader-inline-color:#ffffff; color:#000000" %)//More information will follow//
++
++
++==== **Create a workflow** ====
++
++(% class="wikigeneratedid" id="H-Workflows5Binformation5D" %)
++(% style="--darkreader-inline-color:#ffffff; color:#000000" %)//More information will follow//
++
++----
++
++=== **The benefits of sharing data ** ===
++
++By sharing your data via EBRAINS, you gain access to the following benefits:
++
++[[image:image-20230324170841-3.png]]
++
++
++
++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.
++
++----
++
++=== **Frequently asked questions ** ===
++
++(((
++====  ====
++
++(((
++>Is the curation process time consuming and difficult?
++)))
++)))
++
++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.
++
++>Is sharing my data also beneficial for me or only for others?
++
++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.
++
++>Can my data be too insignificant to share?
++
++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.
++
++>Can my data be easily misused if I share it?
++
++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.
++
++>Can I share my data before my paper is published?
++
++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.
++
++>Can I lose my competitive edge if I share my data before I publish the associated paper?
++
++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.
++
++
++----
++
  == Contact ==
  [[curation-support@ebrains.eu>>mailto:curation-support@ebrains.eu]]
------
  == Affiliated laboratories ==
++
  //Institute of Basic Medical Sciences,** **University of Oslo, Norway (PI: Jan G. Bjaalie, Trygve B. Leergaard)//
++//Human-Computer Interaction, University of Trier, Germany  //
++
  //Institute of Neuroscience and Medicine (INM-1), Research Centre Jülich, Germany (PI: Timo Dicksheid)//
------
  == References ==