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Commit 7e9182d3 authored by Juju Fars's avatar Juju Fars
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Adding decision tree

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</diagram></mxfile>
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---
layout: default
title: Checklist
parent: Decision Tree
has_children: false
nav_order: 3
---
# Can I share my data - Checklist
Use this check list to guide your decision on whether you are ready to share your data and where to share it. Return to the [decision questions](./decision-tree-refactored.md) for more detail on each question.
## 1. Is sharing restricted under Intellectual Properties rights?
- [ ] 1.1. Has your funder or industry partner approved data sharing?
- [ ] 1.2. Have you investigated commercial potential of your data?
## 2. Are you sharing data acquired from living humans?
- [ ] 2.1. Human alive at the time of data collection.
- [ ] 2.2. Ex vivo human.
- [ ] 2.3. Non-human animal.
## 3. Have you considered data governance with respect to sharing?
- [ ] 3.1. Have you discussed open data sharing in your data management plan?
- [ ] 3.2. Have you completed a Data Protection Impact Assessment (DPIA) screening form which references data sharing?
## 4. Do you have ethical approvals in place?
- [ ] 4.1. Have you described data sharing in your ethics application?
- [ ] 4.2. Has your participant consented to data sharing?
## 5. Have you de-identified your data?
- [ ] 5.1. Have you removed any "direct identifiers" in your data?
- [ ] 5.2. Are your imaging data in participant space?
- [ ] 5.3. Have your Participant IDs been protected?
- [ ] 5.4. Have "indirect identifiers" such as age, gender, handedness or disease status been protected?
- [ ] 5.5. Have unique dicom fields been scrubbed?
- [ ] 5.6. Have unique fields in .json sidecar files been scrubbed?
- [ ] 5.7. Have images been defaced?
- [ ] 5.8. Have you conducted and prepared to share a quality control analysis?
## 6. Have you prepared the data according to community standards?
- [ ] 6.1. For example BIDS for MRI.
## 7. Have you prepared the metadata to make your data FAIR?
- [ ] 7.1. Are behavioural and clinical covariates appropriately described?
- [ ] 7.2. Are you able to share the image acquisition protocol?
- [ ] 7.3. Has the experimental protocol been described and made ready to share with the data?
## 8. Can access to your data be restricted?
- [ ] 8.1. Can you create a "reviewer only" link?
- [ ] 8.2. Can you restrict access to bonafide researchers only?
## 9. Can you ensure that you are appropriately acknowledged when your data are reused?
- [ ] 9.1. Can you create a doi for your data?
- [ ] 9.2. Can you select a license which requires attribution?
## 10. Would you like to impose custom terms around the reuse of your data?
- [ ] 10.1. Would you like to impose requirements for authorship?
- [ ] 10.2. Would you like to impose restrictions on resharing?
- [ ] 10.3. Would you like to explicitly prohibit attempts to reidentify participants in your data?
- [ ] 10.4. Would you like to add any funder requirements in the reuse of your data?
Firstname,Middle name,Surname,ORCID iD,Email address,Primary affiliation,Secondary affiliation,Funding or acknowlegement statement,Conceptualization,Data curation,Formal analysis,Funding acquisition,Investigation,Methodology,Project administration,Resources,Software,Supervision,Validation,Visualization,Writing - original draft,Writing - review & editing,Corresponding author?
Cassandra,Doris,Gould van Praag,0000-0002-8584-4637,cassandra.gouldvanpraag@psuych.ox.ac.uk,"Wellcome Centre for Integrative Neuroimaging, University of Oxford, UK","Department of Psychiatry, University of Oxford, UK",This project was funded by The Wellcome Trust and supported by the NIHR Oxford Health Biomedical Research Centre,1,1,1,,1,1,1,1,1,1,,1,1,1,1
Stuart,,Clare,0000-0001-6421-9990,stuart.clare@ndcn.ox.ac.uk,"Wellcome Centre for Integrative Neuroimaging, University of Oxford, UK","Nuffield Department of Clinical Neuroscience, Univeristy of Oxford, UK",,1,,,1,,1,1,,,1,,,,1,
Clare,E,Mackay,0000-0001-6111-8318,clare.mackay@psych.ox.ac.uk,"Wellcome Centre for Integrative Neuroimaging, University of Oxford, UK","Department of Psychiatry, University of Oxford, UK",This project was funded by The Wellcome Trust and supported by the NIHR Oxford Health Biomedical Research Centre,1,,,1,,1,1,,,1,,,,1,
Mathew,,South,0000-0002-3192-5853,matthew.south@psych.ox.ac.uk,"Department of Psychiatry, University of Oxford, UK","Wellcome Centre for Integrative Neuroimaging, University of Oxford, UK",,,,,,,,,,,,,,,1,
Duncan,,Smith,0000-0002-3025-5173,duncan.smith@psych.ox.ac.uk,"Department of Psychiatry, University of Oxford, UK","Wellcome Centre for Integrative Neuroimaging, University of Oxford, UK",,,,,,,,,,,,,,,1,
Duncan,,Mortimer,0000-0002-7483-2024,duncan.mortimer@ndcn.ox.ac.uk,"Wellcome Centre for Integrative Neuroimaging, University of Oxford, UK","Nuffield Department of Clinical Neuroscience, Univeristy of Oxford, UK",This project was funded by The Wellcome Trust,,,,,,,,,,,,,,1,
Mats,W.J.,van Es,0000-0002-7133-509X,mats.vanes@psych.ox.ac.uk,"Department of Psychiatry, University of Oxford, UK",,,,,,,,,,,,,,,,1,
Alon,,Baram,,,"Wellcome Centre for Integrative Neuroimaging, University of Oxford, UK","Nuffield Department of Clinical Neuroscience, Univeristy of Oxford, UK",,,,,,,,,,,,,,,1,
Benjamin,C,Tendler,0000-0003-2095-8665,benjamin.tendler@ndcn.ox.ac.uk,"Wellcome Centre for Integrative Neuroimaging, University of Oxford, UK","Nuffield Department of Clinical Neuroscience, Univeristy of Oxford, UK",,,,,,,,,,,,,,,1,
Matthijs,H.S.,de Buck,0000-0001-8217-8192,matthijs.debuck@ndcn.ox.ac.uk,"Wellcome Centre for Integrative Neuroimaging, University of Oxford, UK","Nuffield Department of Clinical Neuroscience, Univeristy of Oxford, UK",MdB acknowledges studentship support from Siemens Healthineers and the Dunhill Medical Trust. ,,,,,,,,,,,,,,1,
Christoph,,Arthofer,0000-0003-1474-9963,christoph.arthofer@ndcn.ox.ac.uk,"Wellcome Centre for Integrative Neuroimaging, University of Oxford, UK","Nuffield Department of Clinical Neuroscience, Univeristy of Oxford, UK",CA is now supported by Wellcome Trust Collaborative Award.,,,,,,,,,,,,,,1,
Jessica,,Walsh,0000-0001-9723-3043,jessica.walsh@ndcn.ox.ac.uk,"Wellcome Centre for Integrative Neuroimaging, University of Oxford, UK","Nuffield Department of Clinical Neuroscience, Univeristy of Oxford, UK",,,,,,,,,,,,,,,1,
Michiel,,Cottaar,0000-0003-4679-7724,Michiel.Cottaar@ndcn.ox.ac.uk,"Wellcome Centre for Integrative Neuroimaging, University of Oxford, UK","Nuffield Department of Clinical Neuroscience, Univeristy of Oxford, UK",,,,,,,,,,,,,,,1,
Ludovica,,Griffanti,0000-0002-0540-9353,ludovica.griffanti@psych.ox.ac.uk,"Wellcome Centre for Integrative Neuroimaging, University of Oxford, UK","Department of Psychiatry, University of Oxford, UK",NIHR Oxford Health Biomedical Research Centre,,,,,,,,,,,,,,1,
Tom,,Whyntie,0000-0003-0501-1377,tom.whyntie@oncology.ox.ac.uk,"Department of Oncology, University of Oxford, UK",,TW is funded by Cancer Research UK (CRUK).,,,,,,,,,,,,,,1,
\ No newline at end of file
---
layout: default
title: Appendices
parent: Decision Tree
has_children: false
nav_order: 3
---
# Open Data Process Diagram - Appendices
{: .fs-8 }
All you need!(we think)
{: .fs-6 .fw-300 }
<!-- [Process 1 - Ethics, consent and data management](./decision-tree.md#process-1-ethics-consent-and-data-management)
[Process 2 - Protected features of the data](./decision-tree.md#process-2-protected-features-of-the-data)
[Process 3 - Deidentification](./decision-tree.md#process-3-deidentification)
[Process 4 - Metadata](./decision-tree.md#process-4-metadata)
[Process 5 - Sharing and attribution](./decision-tree.md#process-5-sharing-and-attribution) -->
## Contents
- [Appendix 1 - DICOM Headers to be scrubbed](#dicom-scrub)
- [Appendix 2 - BIDS Compliance](#BIDS)
- [Appendix 3 - Scrubbing .json files](#json-scrub)
- [Appendix 4 - Quality Control](#qc)
- [Appendix 5 - Defacing](#deface)
- [Appendix 6 - Upload to XNAT](#upload)
- [Appendix 7 - Data freeze](#data-freeze)
- [Appendix 8 - Digital object identifiers (DOI)](#doi)
- [Appendix 9 - Data usage agreement (DUA)](#dua)
- [Appendix 10 - Advice from Research Data Oxford](#rdo)
- [Relevant policy and guidance](#policy)
- [Acknowledgements](#acknowledgements)
<a name="dicom-scrub"></a>
## Appendix 1 - DICOM Headers to be scrubbed
> Relevant processes:
> - [Process 3 - Deidentification](./decision-tree.md#process-3-deidentification)
List of DICOM identifying fields that need to be scrubbed included in [McGill Centre for Integrative Neuroscience Open Science Guidance Open Science Data Preparation Checklist](http://loris.ca/MCINOpenScienceGuidance_DataPrepChecklist.pdf).
Fields to be scrubbed include anything which is identifiable as participant information or unique to the scanning session or data acquisition site.
Fields identified by McGill have been checked against DICOM fields appearing in data acquired on WIN 3T (OHBA) for human
participant (identifiable fields have been censored here using "x" placeholders).
|**Field name**|**In WIN dicom example (if field present)**|
|--------------|-------------------------------------------|
PatientAddress | n/a|
PatientAge | 042Y|
PatientBirthDate+D10 | 1975xxxx|
PatientBirthName | n/a|
PatientID | W3T\_2016\_xx\_xxx|
PatientMotherBirthName | n/a|
PatientName | W3T\_2016\_xx\_xxx|
PatientReligiousPreference | n/a|
PatientSex | F|
PatientTelephoneNumbers | n/a|
Patient Size | 1.62|
Patient Weight | 64|
OtherPatientIDs | n/a|
OtherPatientName | n/a|
OtherPatientNames | n/a|
AcquisitionDate | 2018xxxx|
AcquisitionTime | 90931.46|
ContentDate | 2018xxxx|
ContentTime | 384 values: 091507.445000,| 091507.448000, 091507.450000, 091507.452000\...
DeviceSerialNumber | 66093|
FrameOfReferenceUID | 1.3.12.2.1107.5.2.43.66093.1.2018xxxx090420048.0.0.0|
InstanceCreationDate | 2018xxxx|
InstanceCreationTime | 384 values: 091507.445000,| 091507.448000, 091507.450000, 091507.452000\...
InstitutionAddress | Warneford Lane| StreetNo,Oxford,District,GB,OX3 7JX
InstitutionalDepartmentName | BE3597|
Institution Name | Warneford Hospital|
IssuerOfPatientID | n/a|
MediaStorageSOPInstanceUID | n/a|
OperatorsName | n/a|
PerformedProcedureStepDescription | n/a|
PerformedProcedureStepID | 0|
PerformedProcedureStepStartDate | 2018xxxx|
PerformedProcedureStepStartTime | 85830.014|
PerformingPhysicianName | Blank|
PhysiciansOfRecord | n/a|
ReferencedSOPInstanceUID | n/a|
ReferringPhysicianName | Blank|
RequestedProcedureDescription | n/a|
RequestingPhysician | Blank|
SeriesDate | 2018xxxx|
SeriesInstanceUID | 2 values:| 1.3.12.2.1107.5.2.43.66093.2018xxxx09150468746204326.0.0.0, 1.3.12.2.1107.5.2.43.66093.2018xxxx09093178111004205.0.0.0
SeriesTime | 2 values: 091507.443000, 091508.436000|
SOPInstanceUID | 384 values:| 1.3.12.2.1107.5.2.43.66093.2018xxxx09150469069804346, ...
StationName | AWP66093|
StudyDate | 2018xxxx|
StudyDescription | OHBA Projects\^2018\_108 RESTAND|
StudyInstanceUID | MR2018xxxx085649|
StudyTime | 85829.922|
<a name="BIDS"></a>
## Appendix 2 - BIDS Compliance
> Relevant processes:
> - [Process 3 - Deidentification](./decision-tree.md#process-3-deidentification)
> - [Process 4 - Metadata](./decision-tree.md#process-4-metadata)
Data should be confirmed as BIDS compliant using the BIDS-validator docker image available from
[https://github.com/bids-standard/bids-validator\#docker-image](https://github.com/bids-standard/bids-validator#docker-image).
This could be installed on XNAT. *to-do: check if BIDS validator already installed*
<a name="json-scrub"></a>
## Appendix 3 - Scrubbing .json files
> Relevant processes:
> - [Process 3 - Deidentification](./decision-tree.md#process-3-deidentification)
.json sidecar files are generated for each nifti image to conform with BIDS specification. These files contain essential metadata which describes the acquisition of the data. They may also contain potentially identifiable information relating to the participant which should not be distributed openly.
<a name="qc"></a>
## Appendix 4 - Quality Control
> Relevant processes:
> - [Process 3 - Deidentification](./decision-tree.md#process-3-deidentification)
Quality control (QC) assessments should be completed as a matter of course for research data, and as a courtesy for those wishing to reuse your data. QC can be performed on BIDS formatted data using mriqc. Mriqc is available as a container on XNAT. *to-do: check if mriqc container already installed*
<a name="deface"></a>
## Appendix 5 - Defacing
> Relevant processes:
> - [Process 3 - Deidentification](./decision-tree.md#process-3-deidentification)
Consider using fsl\_deface. Other defacing tools are available.
Consider running QC on defaced images using
[https://github.com/raamana/visualqc/blob/master/docs/VisualQC\_TrainingManual\_v1p4.pdf](https://github.com/raamana/visualqc/blob/master/docs/VisualQC_TrainingManual_v1p4.pdf)
<a name="upload"></a>
## Appendix 6 - Upload to XNAT
> Relevant processes:
> - [Process 5 - Sharing and attribution](./decision-tree.md#process-5-sharing-and-attribution)
TBD (not exhaustive)
1. Default access groups (e.g. uploading researcher, PI and XNAT Admin)
2. Verification and management of external account (whole process to be defined for external users) -- Look for external (acceptable) models of this.
3. Process for verifying that the mandatory procedures have been completed (e.g. DICOMS scrubbed) before data are made publicly available.
<a name="data-freeze"></a>
## Appendix 7 - Data freeze
> Relevant processes:
> - [Process 5 - Sharing and attribution](./decision-tree.md#process-5-sharing-and-attribution)
The data which are shared publically should remain unchanged once they have been released. Projects which are longitudinal or are comprised of large cohorts may want to consider generating multiple seperates releases.
The data freeze process as applied for the Dementias Platform UK (DPUK) is computationally expensive -- multiple freeze generates duplicates of data. Alternative methods could be investigated (e.g. ZFS snapshots).
Consider developing a cost model of the platform to indicate to researchers the cost of snapshots carried by WIN. A cost model would also be useful for project and infrastructure grant applications.
<a name="doi"></a>
## Appendix 8 - Digital object identifiers (DOI)
> Relevant processes:
> - [Process 5 - Sharing and attribution](./decision-tree.md#process-5-sharing-and-attribution)
A DOI is essential to ensure that the data shared can be effectively attributed to the authors via [FAIR
principles](https://www.go-fair.org/fair-principles/). Oxford Research Online (ORA) is the University's preference for
generating a DOI.
To create a DOI for your data go to [Deposit Data in ORA](https://deposit.ora.ox.ac.uk/dashboard/my/works?locale=en) and "Add a New Work". Fill in as many fileds as you feel will be sufficient to identify your data. Please ensure the below are included to:
- In the field "bibliographic detail" > "Digital Storage location": Enter the URL of your project on XNAT.
- In the field "contributors", add a new contrbutor of the type "data steward" and enter the email address win.xnat-admin@psych.ox.ac.uk
Major updates to XNAT (likely over the medium to long term) will potentially lead to changes in URL. If/when this occurs, we will work with ORA to update the "Digital Storage Location" of your record to reflect the new URL. This is only possible if the XNAT admin email address is provided as a collaborator.
<a name="dua"></a>
## Appendix 9 - Data usage agreement (DUA)
> Relevant processes:
> - [Process 5 - Sharing and attribution](./decision-tree.md#process-5-sharing-and-attribution)
Research Services (<research.services@admin.ox.ac.uk>.) can provide template agreements for data sharing.
A range of template data sharing and data access agreements (suitable for research from all four academic divisions) are available. While these agreements are designed to address key issues, they will need to be tailored to the specific needs of a particular project. Research Services can advise on this, and also offer to check drafts as they are prepared before producing a final signature-ready copy.
### Example DUA from [Donders Repository]([https://data.donders.ru.nl/)
I request access to the data collected in the digital repository of the \<DEPARTMENT\>, part of the \<INSTITUTION\>, established at \<CITY\>, \<COUNTRY\> (hereinafter referred to as the \<INSTITUTION SHORTNAME\>).
By accepting this agreement, I become the data controller (as defined under the GDPR) of the data that I have access to, and am responsible that I access these data under the following terms:
1. I will comply with all relevant rules and regulations imposed by my institution and my government. This agreement never has prevalence over existing general data protection regulations that are applicable in my country.
2. I will not attempt to establish or retrieve the identity of the study participants. I will not link these data to any other database in a way that could provide identifying information. I shall not request the pseudonymisation key that would link these data to an individual's personal information, nor will I accept any additional information about individual participants under this Data Use Agreement.
3. I will not redistribute these data or share access to these data with others, unless they have independently applied and been granted access to these data, i.e., signed this Data Use Agreement. This includes individuals in my institution.
4. \[OPTIONAL\] When sharing secondary or derivative data (e.g. group statistical maps or templates), I will only do so if they are on a group level, and cannot be deduced information from individual participants.
5. I will reference the specific source of the accessed data when publicly presenting any results or algorithms that benefited from their use:
a. Papers, book chapters, books, posters, oral presentations, and all other presentations of results derived from the data should acknowledge the origin of the data as follows: "Data were provided (in part) by \<Research centre/University Department\> \<University, Country\>".
b. Authors of publications or presentations using the data should cite relevant publications describing the methods developed and used by the \<Research centre/University Department\> to acquire and process the data. The specific publications that are appropriate to cite in any given study will depend on what the data were used and for what purposes. When applicable, a list of publications will be included in the collection. Neither the \<Research centre/University Department\> or \<University\>, nor the researchers that provide this data will be liable for any results and/or derived data. They shall not be included as an author of publications or presentations without consent.
6. Failure to abide by these guidelines will result in termination of my privileges to access these data.
<a name="rdo"></a>
## Appendix 10 -- Advice from Research Data Oxford
- Define what a breach looks like (how, why, impact) and demonstrate that you have shown due diligence in preventing it.
- How will you manage accusations of disclosure?
- The consent you have is the cornerstone of your agreement with the participant. Make sure consent appropriately describes all relevant procedures including deidentification and managed access. Agree that (brain) MRI data cannot be considered anonymous and therefore falls under GDPR.
- The DUA should preclude commercial use.
- Access to data should be monitored and reported on (for accountability and auditing)
Research Data would be pleased to partner with us on this project. They are interested in growing their experience of working directly with specific examples.
<a name="policy"></a>
## Relevant policy and guidance
### University of Oxford Policy on the Management of Data Supporting Research Outputs
<https://researchdata.ox.ac.uk/university-of-oxford-policy-on-the-management-of-data-supporting-research-outputs/>
3.0 Responsibilities of the researcher
3.1 Principal Investigators hold day-to-day responsibility for the effective management of research data generated within or obtained from their research, including by their research groups. This shall include understanding and complying with the requirements of any relevant contract with or grant to the University that includes provisions regarding the ownership, preservation and dissemination of research data.
3.2 Researchers will protect confidential, personal and sensitive personal research data in accordance with legal and ethical requirements related to the research they conduct.
3.3 Researchers will make every reasonable effort to keep an accurate and comprehensive record of their research, including documenting clear procedures for the collection, storage, use, reuse, access and retention or deletion of the research data associated with their records.
3.6 Researchers should strongly consider depositing their data supporting outputs in an appropriate data repository along with sufficient descriptive metadata (a data record) to ensure that it can be found and understood. Where data is deposited somewhere other than the University's institutional data repository (the Oxford Research Archive for Data, or ORA-Data), a data record should also be created in ORA-Data which describes and points to the data.
<a name="acknowledgements"></a>
## Acknowledgements
Created using materials from: Das et al, 2019, \"MCIN Open Science Guidance: Data Preparation Checklist\"
[https://loris.ca/MCINOpenScienceGuidance\_DataPrepChecklist.pdf](https://loris.ca/MCINOpenScienceGuidance_DataPrepChecklist.pdf)
Inspired by Huijser, Dorien, Achterberg, Michelle, Wierenga, Lara, Van \'t Veer, Anna, Klapwijk, Eduard, Van Erkel, Raymond, & Hettne, Kristina. (2020, June 19). MRI data sharing guide. Zenodo. http://doi.org/10.5281/zenodo.3822290
---
layout: default
title: Questions about data
parent: Decision Tree
has_children: false
nav_order: 3
---
# Data Sharing Decision Tree - Refactored to questions
{: .fs-8 }
Feedback appreciated
{: .fs-6 .fw-300 }
<!-- <details>
<summary>Question?</summary><br>
details
</details> -->
![data sharing questions](../img/sharing-questions_w800px.png)
## Why should I share my data?
<details>
<summary>To create a citable research output</summary><br>
Collecting and curating your research data is often a huge undertaking which requires significant skill and expertise. You deserve to receive credit for the data you have created as an independent research object, over and above any publish manuscript. We will help you to share your data in a way that it can exist as a citable research object, on your CV and the digital realm.
</details>
<details>
<summary>Publisher requirement</summary><br>
Many publishers will now require you to share data, so your research findings can be verified. Our infrastructure will enable you to fulfil these requirements. Caution: Don't wait until you are about to publish before thinking about data sharing! It is much easier to share data if you have built in sharing as part of your study.
</details>
<details>
<summary>Funders want to make the most of their investment</summary><br>
<mark>TBC</mark>
</details>
<details>
<summary>Sharing is becoming the norm</summary><br>
<mark>TBC</mark>
</details>
<details>
<summary>A sustainable platform and archive of your data</summary><br>
<mark>TBC</mark>
</details>
<details>
<summary>Speeds up translation</summary><br>
<mark>TBC</mark>
</details>
## Can I share my data?
Use this [checklist](./checklist-cani.md) to keep track of your answers to the questions below.
**Key**
⚠️ = essentail to address before sharing your data.
✅ = desirable best practice
<!-- -->
<details>
<summary> ⚠️ Is sharing restricted under Intellectual Properties rights?</summary><br>
<details>
<summary>Has your funder or industry partner approved data sharing?</summary><br>
<mark>TBC</mark>
This is the short answer.
```
This is the longer answer.
```
</details>
<details>
<summary>Have you investigated commercial potential of your data?</summary><br>
<mark>TBC</mark>
</details>
</details>
<!-- -->
<details>
<summary>Are you sharing data acquired from living humans?</summary><br>
GDPR restrictions relate only to data acquired from living humans.
**Non-human** data are not required to be de-identified. Consider sharing your data [Digital Brain Bank](https://open.win.ox.ac.uk/DigitalBrainBank/#/)
**Ex vivo human data*** should be treated in accordance with the requirements of the Common Law Duty of Confidentiality. You should also be aware of the possibility of living individuals (for example relatives of the deceased) being identified in this information, which would then need to be treated in line with GDPR personal information. Please review the [HRA Decision Tool for principles for handling data from deceased human participants](http://www.hra-decisiontools.org.uk/consent/principles-deceased.html). Consider sharing your data [Digital Brain Bank](https://open.win.ox.ac.uk/DigitalBrainBank/#/).
</details>
<details>
<summary>Have you considered data governance with respect to sharing?</summary><br>
<details>
<summary>Have you discussed open data sharing in your data management plan?</summary><br>
Creating a data management plans helps you plan how you will manage the data acquired during your project by considering the type of data you are producing, who needs to access it and accordingly how it is stored. They are a mandatory part of some grant applications, but they are also a useful exercise for smaller projects which don't require separate funding.
Find out more about how the University can [support you in creating a data management plan](https://researchdata.ox.ac.uk/home/managing-your-data-at-oxford/data-management-planning/)
Review a [MRC format WIN specific example data management plan (pre data sharing infrastructure)](https://sharepoint.nexus.ox.ac.uk/sites/NDCN/FMRIB/IT/_layouts/15/WopiFrame.aspx?sourcedoc=/sites/NDCN/FMRIB/IT/Documents/WIN%20Centre%20-%20Data%20Management%20Plan%20MRC%20Template.docx&action=default&DefaultItemOpen=1)
Review the [BBSRC requirements for data management plans in relation to data sharing](../new-supporting-resources/data-management-plan)
</details>
<details>
<summary>Have you completed a Data Protection Impact Assessment (DPIA) screening form which references data sharing?</summary><br>
All studies which collect new or re-use existing data must be assessed for risks of a data breach. This risk is assessed using a [Data Protection Impact Assessment (DPIA) Screening form](https://compliance.admin.ox.ac.uk/data-protection-forms#collapse1091641)
Note for the purposes of the DPIA Screening, human imaging data may be considered "biometric data": "personal data resulting from specific technical processing relating to the physical, physiological, or behavioural characteristics of a natural person, which allows or confirms the unique identification of that natural person, such as facial images or fingerprint data."
</details>
</details>
<!-- -->
<details>
<summary>Do you have ethical approvals in place?</summary><br>
<details>
<summary>Have you described data sharing in your ethics application?</summary><br>
Your ethics application and participant information sheet should minimally refer to the sharing of data with colleagues outside of the University. Ideally, you should include the possibility of sharing "deidentified data in online databases". If you have collected MRI data under [CUREC Approved Procedure 17](https://researchsupport.admin.ox.ac.uk/governance/ethics/resources/ap#collapse397171) (version 6.0+) statement fulfilling this requirement will be included.
</details>
<details>
<summary>Has your participant consented to data sharing?</summary><br>
Many consent forms have a separate section or box to indicate the participant is aware of your data sharing plans (box 4 on the [Approved Procedure 17 consent form](https://researchsupport.admin.ox.ac.uk/governance/ethics/resources/ap#collapse397171)). Has your participant indicated they have agreed to data sharing as you have described?
</details>
</details>
<!-- -->
<details>
<summary>Have you de-identified your data?</summary><br>
<details>
<summary>Have you removed any "direct identifiers" in your data?</summary><br>
<mark>Direct identifiers include...</mark>
</details>
<details>
<summary>Are your imaging data in participant space?</summary><br>
Participant space (cortical structure) is unique to an individual. Avoid sharing data which is in participant space where possible. If it is preferable to share data in participant space, ensure other features described below are redacted as far as possible and appropriate for your analysis.
</details>
<details>
<summary>Have your Participant IDs been protected?</summary><br>
Are any keys which link researcher generated Participant IDs and WIN generated Scan ID Participant IDs to GDPR "special category" data (names, contact information, consent documentation etc.) held in a facility which is surrounded by a suitable regime of controls and safeguards to prevent data breaches and misuse (Jones and Ford, 2018)? In practice, this is achieved by following CUREC BPG 09, with data only held on a approved shared drive (Departmental or One Drive), or a device with whole disk encryption.
The linkage key must be "stored separately from" ([CUREC BPG 09](https://researchsupport.admin.ox.ac.uk/files/bpg09datacollectionandmanagementpdf)) special category and research data, It must not be shared with research data except in critical circumstances. The validity of requests for access to the linkage key should be assessed on an individual basis by the responsible data controller (usually the Principle Investigator).
</details>
<details>
<summary>Have "indirect identifiers" such as age, gender, handedness or disease status been protected?</summary><br>
Consider combining "indirect identifiers" ([CUREC BPG 09](https://researchsupport.admin.ox.ac.uk/files/bpg09datacollectionandmanagementpdf)) into bins such that no participant can be uniquely identified. Ideally bins should contain n > 5 participants.
</details>
<details>
<summary>Have unique dicom fields been scrubbed?</summary><br>
If you are sharing dicom data, you should scrub the dicom headers of all identifiable and unique fields.
</details>
<details>
<summary>Have unique fields in .json sidecar files been scrubbed?</summary><br>
If you are sharing nifti data with json sidecar files, you should scrub the .json files of all identifiable and unique fields.
</details>
<details>
<summary>Have images been defaced?</summary><br>
If you are sharing data with facial features, have these images been defaced and assessed for the quality of the defacing? Consider using fsl-deface.
</details>
<details>
<summary>Have you conducted and prepared to share a quality control analysis?</summary><br>
It is good practice to share a quality control (QC) analysis. Consider using mriqc.
</details>
</details>
<!-- -->
<details>
<summary>Have you prepared the data according to community standards?</summary><br>
<mark>BIDS, BEPs</mark>
</details>
<!-- -->
<details>
<summary>Have you prepared the metadata to make your data FAIR?</summary><br>
<details>
<summary>Are behavioural and clinical covariates appropriately described?</summary><br>
Measured results for each participant should be provided in a single file containing all covariates, in appropriately [machine readable structure](https://en.wikipedia.org/wiki/Machine-readable_data).
Covariates should be accompanied by a data dictionary which describes each of the variables included, how they were derived and the source data where possible.
</details>
<details>
<summary>Are you able to share the image acquisition protocol?</summary><br>
Consider adding the MR protocol and scanning procedure documents to the [MR Protocols database](https://open.win.ox.ac.uk/protocols/). Add a link to your database entry in your shared data.
</details>
<details>
<summary>Has the experimental protocol been described and made ready to share with the data?</summary><br>
Minimal experimental detail is as described in the dataset_descriptor.json file which is generated during BIDS conversion.
</details>
</details>
<!-- -->
<details>
<summary>Can access to your data be restricted?</summary><br>
<details>
<summary>Can you create a "reviewer only" link?</summary><br>
In some cases you may wish to make your data available only to a reviewer before making it available for wider release. Is this possible with your intended repository?
</details>
<details>
<summary>Can you restrict access to bonafide researchers only?</summary><br>
Given a the need for responsible reuse of your data, it may be wise to restrict re-use to those individuals who are likely to have a genuine research interest. Can your intended repository restrict access to allow only bonafide researchers, for example by institutional email verification, or an [ORCID ID](https://orcid.org)?
</details>
</details>
<!-- -->
<details>
<summary>Can you ensure that you are appropriately acknowledged when your data are reused?</summary><br>
<details>
<summary>Can you create a doi for your data?</summary><br>
Does the tool you are using to share your data allow you to create a citable digital object identifier (doi) for the exact version of your data you are sharing? This doi can be used by others to reference your data.
</details>
<details>
<summary>Can you select a license which requires attribution?</summary><br>
Your data is a significant intellectual output, and you deserve to be recognised for it if your output is reused. We recommend using a repository where you can apply a license for reuse which necessitates attribution, for example [CC-BY-4.0](https://creativecommons.org/licenses/by/4.0/). You may additionally like to apply a license which restricts commercial use (for example [CC-BY-NC-4.0](https://creativecommons.org/licenses/by-nc/4.0/legalcode)), allowing commercial use to be negotiated by the University.
</details>
</details>
<!-- -->
<details>
<summary>Would you like to impose custom terms around the reuse of your data?</summary><br>
<details>
<summary>Would you like to impose requirements for authorship?</summary><br>
You may wish to stipulate that you are contacted to discuss authorship and further contributions if your data are reused. Alternatively you may wish to stipulate that you are not included as an author on any reuse of the data. Is it possible to impose such requirements with your intended repository?
</details>
<details>
<summary>Would you like to impose restrictions on resharing?</summary><br>
You may wish to stipulate that users of your data do not share it any further once they have acquired a copy. Is it possible to impose this requirement with your intended repository?
</details>
<details>
<summary>Would you like to explicitly prohibit attempts to reidentify participants in your data?</summary><br>
Given that many types of imaging can not be made fully anonymous, it may be wise to include an additional legal restriction which explicitly prohibits attempts to reidentify your participants, for example via linkage to other public sphere or experimental data. Is it possible to impose such requirements with your intended repository?
</details>
<details>
<summary>Would you like to add any funder requirements in the reuse of your data?</summary><br>
Some funders may require acknowledgement in perpetuity for data generated with their funds. Is it possible to impose such requirements with your intended repository?
</details>
</details>
## How do I share my data?
<!-- <details>
<summary>Question?</summary><br>
details
</details> -->
<mark>TBC</mark>
## When should I think about sharing my data?
<mark>TBC</mark>
---
layout: default
title: Decision Tree
parent: Getting Started
has_children: true
nav_order: 3
---
# Open data decision tree
{: .fs-8 }
What to think of BEFORE starting
{: .fs-6 .fw-300 }
## Overview
We have divided the data sharing process into five stages. Each stage should be reviewed in turn to see what path your project should follow.
![](./img/process-overview-key.png)
### Start and Stop
In each process there is a "start" point, and in some cases a hard "stop". A "stop" is reached where the project has not achieved the mandatory stages as required by University policy or GDPR.
### Navigating through the processes
Each process links to the next in the "Go to next process" box. Not all data types will follow all five steps sequentially; some project may skips as indicated by following the tree according to the answers given.
### Recommended and mandatory steps
Each process has both "recommended" and "mandatory" steps. Mandatory steps fulfil your requirements according to University and GDPR. Following the recommended steps brings your project into alignment with the growing consensus for data sharing according to the [FAIR principles](https://www.go-fair.org/fair-principles/)
<a name="ethics-rdm"></a>
## Process 1 - Data management, data security and ethics
Good data management is essentail for effective data sharing, for audit purposes and to assess the security and privacy risks of your data. This process ensures that you have completed all governance reviews as required by central Information Compliance, and that you have the correct ethical approvals in place to share your data.
![](./img/p1.png)
<a name="protected"></a>
## Process 2 - Protected features of the data
Different modalities, participants and data sources carry differential risks. This process will assess how your data should be handelled based on what you intend to share.
![](./img/p2.png)
<a name="deidentify"></a>
## Process 3 - Deidentification
Most of the data we handle at WIN cannot be fully anonymised as each participant contributes unique information. Instead we aim to maximally deidentify the data while maintining sufficient granularity for analysis. This process highlights which parts of your data may contain identifiable features and how they should be handelled. It also suggests community standards in data structure and quality control.
> See also:
> - [Appendix 1 - DICOM headers to be scrubbed](./decision-tree-appendicies.md#appendix-1-dicom-headers-to-be-scrubbed)
> - [Appendix 2 - BIDS compliance](./decision-tree-appendicies.md#appendix-2-bids-compliance)
> - [Appendix 3 - Scrubbing .json files](./decision-tree-appendicies.md#appendix-3-scrubbing-json-files)
> - [Appendix 4 - Quality control](./decision-tree-appendicies.md#appendix-4-quality-control)
> - [Appendix 5 - Defacing](./decision-tree-appendicies.md#appendix-5-defacing)
![](../img/p3.png)
<a name="metadata"></a>
## Process 4 - Metadata
High quality metadata enable others to reuse your data effectively. This process suggests where metadata may be valuable and how they can be compiled.
> See also:
> - [Appendix 2 - BIDS compliance](./decision-tree-appendicies.md#appendix-2-bids-compliance)
![](./img/p4.png)
<a name="sharing-attribution"></a>
## Process 5 - Sharing and attribution
Your shared research data are a valuable output of your work. This process describes adding your data to the XNAT repository and generating a citable digital object identifier (DOI). It also guides you through the selection of an appropriate data usage agreement (DUA) which subsequent users of your data will agree to follow.
> See also:
> - [Appendix 6 - Upload to XNAT](./decision-tree-appendicies.md#appendix-6-upload-to-xnat)
> - [Appendix 7 - Data freeze](./decision-tree-appendicies.md#appendix-7-data-freeze)
> - [Appendix 8 - Digital object identifiers (DOI)](./decision-tree-appendicies.md#appendix-8-digital-object-identifiers-doi)
> - [Appendix 9 - Data usage agreement (DUA)](./decision-tree-appendicies.md#appendix-9-data-usage-agreement-dua)
![](./img/p5.png)
# References
[DPIA screening and DPIA/DPA templates]
(https://compliance.admin.ox.ac.uk/data-protection-forms#collapse1091641)
Jones and Ford, 2018. "Privacy, confidentiality and practicalities in data linkage. National Statistical Quality Review". [https://cronfa.swan.ac.uk/Record/cronfa53688](https://cronfa.swan.ac.uk/Record/cronfa53688)
Harron et al, 2017. "Challenges in administrative data linkage for research". Big Data & Society. December 2017. [doi:10.1177/2053951717745678](https://journals.sagepub.com/doi/10.1177/2053951717745678)
[Open Brain Consent GDPR Edition](https://open-brain-consent.readthedocs.io/en/stable/gdpr/index.html)
[CUREC Best Practice Guidance (BPG) 09 "Data collection, protection and management".](https://researchsupport.admin.ox.ac.uk/files/bpg09datacollectionandmanagementpdf)
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---
layout: default
title: Getting Started
has_children: false
has_children: true
nav_order: 2
---
......@@ -19,6 +19,8 @@ Incorporating open science practices into your research project.
At almost every stage of your research project, there are open science related practices you can incorporate. Here is an overview for the topics that are relevant in every stage, and links to the corresponding community pages.
See our [Decision Tree](https://open.win.ox.ac.uk/pages/open-science/community/Open-WIN-Community/docs/decision-tree/decision-tree.md)
## Planning & designing your study
- Funding requirements and writing your grant applications
......
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