Case GRIP-data in UvA/HvA Figshare

(1)

Amsterdam University of Applied Sciences

Case GRIP-data in UvA/HvA Figshare

van Ulzen, N.R.

DOI

10.21943/auas.5773674.v1 Publication date

2017

Document Version Final published version License

CC BY

Link to publication

Citation for published version (APA):

van Ulzen, N. R. (Photographer). (2017). Case GRIP-data in UvA/HvA Figshare. Artefact, Figshare. https://doi.org/10.21943/auas.5773674.v1

General rights

It is not permitted to download or to forward/distribute the text or part of it without the consent of the author(s) and/or copyright holder(s), other than for strictly personal, individual use, unless the work is under an open content license (like Creative Commons).

Disclaimer/Complaints regulations

If you believe that digital publication of certain material infringes any of your rights or (privacy) interests, please let the Library know, stating your reasons. In case of a legitimate complaint, the Library will make the material inaccessible and/or remove it from the website. Please contact the library:

https://www.amsterdamuas.com/library/contact/questions, or send a letter to: University Library (Library of the University of Amsterdam and Amsterdam University of Applied Sciences), Secretariat, Singel 425, 1012 WP Amsterdam, The Netherlands. You will be contacted as soon as possible.

Download date:27 Nov 2021

(2)

GRoin Injury Prevention (GRIP) Study. The GRIP-study was a two-year project about groin injuries in elite soccer players. The objective of the project was to gain more insight in the risk factors and treatment of groin injuries.

Level of FAIRness of GRIP-data

[to my own subjective judgment

¹

]

F A I R

Considerations

Outcome

CASE GRIP-DATA IN UVA/HVA FIGSHARE

21-12-2017, Niek van Ulzen

Findable. The metadata are published in UvA/HvA figshare. The dataset has a persistent identifier (DOI). Google finds the data.

Accessible. The dataset has a license but is not automatically accessible for privacy reasons.

Interoperable. Data are not stored in a preferred format. Data are not easily readable by a computer without human support.

Reusable. Data and metadata are sufficiently described for a human but not for a computer (see Interoperability).

GRIP-data. Data were collected from ~300 elite soccer players in the Netherlands during the 2015/16 season. Data consisted of questionnaires to collect baseline player characteristics, physical tests, training and match exposure plus injury details during the season. Data were saved as SPSS-files.





Privacy

We removed personal data that could directly identify a person (name, date of birth). Data about player position, team name and matches (not) played were still present. Therefore we could not guarantee that the data are completely anonymized.

Informed consent

All participating soccer players gave their informed consent. Although the informed consent did not rule out data publication, it neither stated something specifically about data.

Data documentation

All SPSS-files contained clear value labels and descriptions. Questionnaires and protocols used for physical tests were included as PDF-files. In doing so, the data

should be easy to understand for others.

In UvA/HvA Figshare

UvA/HvA Figshare requires two-factor authentication which should be set up once.

All files were uploaded as a fileset and the required metadata fields were filled in. We created a DOI, selected a license and marked the fileset as ‘confidential’.

 

 



The FAIR data principles are a set of principles that put specific emphasis on enhancing the ability of computers to automatically find and use the data, in addition to supporting its reuse by individuals ² .

Ref 1. But see here for a lightweight FAIR data assessment tool Ref 2. Wilkinson et al. (2016). http://dx.doi.org/10.1038/sdata.2016.18

To store, preserve and publish the GRIP-data in UvA/HvA Figshare.

Can we publish the dataset itself or only the metadata? 





For privacy reasons and because publishing of data was not specifically mentioned in the informed consent we published the GRIP-data as a

‘confidential file’ in UvA/HvA Figshare. This means that the dataset itself is not open but the metadata are.

The dataset is preserved in one central and secure place, i.e. UvA/HvA Figshare, with an DOI (digital object identifier) and a license.

Other people can find, refer to and cite the dataset:

https://doi.org/10.21943/auas.5406220.v1

The dataset could be re-used by others but only under conditions set by the Faculty of Sports and Nutrition.



Case GRIP-data in UvA/HvA Figshare

Amsterdam University of Applied Sciences

Case GRIP-data in UvA/HvA Figshare

van Ulzen, N.R.

DOI

10.21943/auas.5773674.v1 Publication date

2017

Document Version Final published version License

CC BY

Link to publication

Citation for published version (APA):

van Ulzen, N. R. (Photographer). (2017). Case GRIP-data in UvA/HvA Figshare. Artefact, Figshare. https://doi.org/10.21943/auas.5773674.v1

General rights

It is not permitted to download or to forward/distribute the text or part of it without the consent of the author(s) and/or copyright holder(s), other than for strictly personal, individual use, unless the work is under an open content license (like Creative Commons).

Disclaimer/Complaints regulations

https://www.amsterdamuas.com/library/contact/questions, or send a letter to: University Library (Library of the University of Amsterdam and Amsterdam University of Applied Sciences), Secretariat, Singel 425, 1012 WP Amsterdam, The Netherlands. You will be contacted as soon as possible.

Download date:27 Nov 2021

GRoin Injury Prevention (GRIP) Study. The GRIP-study was a two-year project about groin injuries in elite soccer players. The objective of the project was to gain more insight in the risk factors and treatment of groin injuries.

Level of FAIRness of GRIP-data

[to my own subjective judgment

]

F A I R

Considerations

Outcome

CASE GRIP-DATA IN UVA/HVA FIGSHARE

21-12-2017, Niek van Ulzen

Findable. The metadata are published in UvA/HvA figshare. The dataset has a persistent identifier (DOI). Google finds the data.

Accessible. The dataset has a license but is not automatically accessible for privacy reasons.

Interoperable. Data are not stored in a preferred format. Data are not easily readable by a computer without human support.

Reusable. Data and metadata are sufficiently described for a human but not for a computer (see Interoperability).

GRIP-data. Data were collected from ~300 elite soccer players in the Netherlands during the 2015/16 season. Data consisted of questionnaires to collect baseline player characteristics, physical tests, training and match exposure plus injury details during the season. Data were saved as SPSS-files.





Privacy

We removed personal data that could directly identify a person (name, date of birth). Data about player position, team name and matches (not) played were still present. Therefore we could not guarantee that the data are completely anonymized.

Informed consent

All participating soccer players gave their informed consent. Although the informed consent did not rule out data publication, it neither stated something specifically about data.

Data documentation

All SPSS-files contained clear value labels and descriptions. Questionnaires and protocols used for physical tests were included as PDF-files. In doing so, the data

should be easy to understand for others.

In UvA/HvA Figshare

UvA/HvA Figshare requires two-factor authentication which should be set up once.

All files were uploaded as a fileset and the required metadata fields were filled in. We created a DOI, selected a license and marked the fileset as ‘confidential’.

 

 





The FAIR data principles are a set of principles that put specific emphasis on enhancing the ability of computers to automatically find and use the data, in addition to supporting its reuse by individuals 2 .

Ref 1. But see here for a lightweight FAIR data assessment tool Ref 2. Wilkinson et al. (2016). http://dx.doi.org/10.1038/sdata.2016.18

To store, preserve and publish the GRIP-data in UvA/HvA Figshare.

Can we publish the dataset itself or only the metadata? 





For privacy reasons and because publishing of data was not specifically mentioned in the informed consent we published the GRIP-data as a

‘confidential file’ in UvA/HvA Figshare. This means that the dataset itself is not open but the metadata are.

The dataset is preserved in one central and secure place, i.e. UvA/HvA Figshare, with an DOI (digital object identifier) and a license.

Other people can find, refer to and cite the dataset:

https://doi.org/10.21943/auas.5406220.v1

The dataset could be re-used by others but only under conditions set by the Faculty of Sports and Nutrition.



The FAIR data principles are a set of principles that put specific emphasis on enhancing the ability of computers to automatically find and use the data, in addition to supporting its reuse by individuals ² .