1. What is MO|RE data?

2. What is meant with "data" in terms of MO|RE data?

3. Licences & Terms of Use

4. Assigning DOI in MO|RE data

5. Quality Assurance

6. Data Privacy and Data Management Plan

7. How should data from MO|RE data be cited?

8. What do we mean by open data and open science?

9. How can I enter data into MO|RE data?

10. How can I research in MO|RE data?



1. What is MO|RE data?

1.1 Objectives of MO|RE data

  • Collect well-grounded information and materials on motor test items.

  • Provide a reliable platform for publishing and archiving research data in sports science.

  • Citable preparation of research data, which can thus be reused scientifically by interested researchers.

1.2 Type of data

In MO|RE data, raw data from sports motor tests and their primary data (evaluations) are managed. In addition, there is secondary data. These are aggregated data from publications.

1.3 Target group

  • Science (sports, health and social scientists): For scientists, the focus is on the citable preparation of the data.
  • Sports practice (teachers, exercise instructors): For sports practitioners, it should be possible to compare their own data with the calculated reference values of MO|RE data in a user-friendly and graphically illustrated way.


2. What is meant with "data" in terms of MO|RE data?

MO|RE data stores data on motor performance including metadata (author, study title, study year, etc.).
Original data sets and data tailored for MO|RE data are stored and made available.

File formats: SPSS, Excel.


3. Licences & Terms of Use

Use of CC-BY-SA

All data delivery (data packages) delivered in MO|RE data are published under the following Creative Commons license:

„Namensnennung- Weitergabe unter gleichen Bedingungen 3.0 Deutschland (CC BY-SA 3.0 DE)“

This means that MO|RE data does not receive exclusive rights of use for the publication, but makes the work available to the general public. The Creative Commons license promotes the dissemination and reception of research results and motivates new works to be created on its basis: Others may reproduce, distribute, and make publicly available the work, make variations and adaptations (e.g., translations) of it, and also use it commercially.

The chosen Creative Commons license protects the data creators, as the new works and content created based on their research results may still only be freely distributed using the original license terms. For any use by third parties, the author must always be credited according to the standards of good scientific practice.

The PDF with thes usage licences can be found here.


4. Assigning DOI in MO|RE data

A DOI is assigned for each data collection delivered in MO|RE data. These are registered with Datacite via TIB Hannover. The metadata for the data collections are imported into the TIB's portal.


5. Quality Assurance

Data quality is assessed according to the following criteria:


Q1 and Q2: Intrinsic quality:


  •     Q1: Implementation quality (study quality)
  •     Q2: Data quality (plausibility check)
  •     Q3: Access quality (documentation quality)
  •     Q4: Editorial board


The PDF of the quality criteria is available here.


6. Data Privacy and Data Management Plan

Only anonymized data is stored in MO|RE data. For more information, see the MO|RE data Data Management Plan.


7. How should data from MO|RE data be cited?

Suggested Citation

If citations are to be made from MO|RE data, the operators recommend the citation method according to the American Psychological Association (APA) 


Autor/Institution, (YEAR). Titel. [Data Set]. DOI


Cool, H. E. M., & Bell, M. (2011). Excavations at St Peter’s Church, Barton-upon-Humber [Data set]. doi:10.5284/1000389   

U.S. Department of Health and Human Services, Substance Abuse and Mental Health Services Administration, Office of Applied Studies. (2013). Treatment episode data set -- discharges (TEDS-D) -- concatenated, 2006 to 2009 [Data set]. doi:10.3886/ICPSR30122.v2


8. What do we mean by open data and open science?

8.1 Open Data

The Open Knowledge Foundation defines "open data" as follows:

"Open data are the building blocks of open knowledge. Open knowledge is what open data becomes when it’s useful, usable and used.

The key features of openness are:

  • Availability and access: the data must be available as a whole and at no more than a reasonable reproduction cost, preferably by downloading over the internet. The data must also be available in a convenient and modifiable form.
  • Reuse and redistribution: the data must be provided under terms that permit reuse and redistribution including the intermixing with other datasets. The data must be machine-readable.
  • Universal participation: everyone must be able to use, reuse and redistribute — there should be no discrimination against fields of endeavour or against persons or groups. For example, ‘non-commercial’ restrictions that would prevent ‘commercial’ use, or restrictions of use for certain purposes (e.g. only in education), are not allowed.


What kinds of open data?

There are many kinds of open data that have potential uses and applications:

  • Cultural: Data about cultural works and artefacts — for example titles and authors — and generally collected and held by galleries, libraries, archives and museums.
  • Science: Data that is produced as part of scientific research from astronomy to zoology.
  • Finance: Data such as government accounts (expenditure and revenue) and information on financial markets (stocks, shares, bonds etc).
  • Statistics: Data produced by statistical offices such as the census and key socioeconomic indicators.
  • Weather: The many types of information used to understand and predict the weather and climate.
  • Environment: Information related to the natural environment such presence and level of pollutants, the quality and rivers and seas.
  • Transport: Data such as timetables, routes, on-time statistics."


8.2 Open Science

"Open Science" is according to Wikipedia:

"is the movement to make scientific research (including publications, data, physical samples, and software) and its dissemination accessible to all levels of an inquiring society, amateur or professional. Open science is transparent and accessible knowledge that is shared and developed through collaborative networks. It encompasses practices such as publishing open research, campaigning for open access, encouraging scientists to practice open-notebook science, and generally making it easier to publish and communicate scientific knowledge." (retrieved 31.12.2020).


9. How can I enter data into MO|RE data?

  • MO|RE data accepts raw or aggregated "data" as Excel, CSV (or SPSS) "file" "uploads".
  • This "data" is built up row by row from "records" that have a "schema" based on their columns. In Excel, all worksheets should be imported and therefore have a coherent schema.
  • This delivery is imported into the "database" record by record according to certain rules.
  • Each file is manually qualified and, if necessary, labeled with a DOI.
  • The DOI information is enriched with the metadata specified by the uploader ("DataManager") as required.
  • Under this DOI, the metadata and the original file are retrievable "for all time" without change.
  • During the upload, a "study number" is assigned, either automatically, consecutively over all "uploads" of all users, or manually, if the "upload user" ("DataManager") wants to add further data to a study he has already created.



10. How can I research in MO|RE data?

The web interface of Mo|Re data offers various search options:


  • There is a "simple" and an "expert" search. In addition, the imported "data" of a "file" are displayed after upload and for qualification.
  • The simple search corresponds to a full text search for DOI and text fields in the details of the "file", the "study" and the "test".
  • Expert search corresponds to a concatenation of search criteria applied to aggregated "groups" of "records". The expert search is differentiated by raw and aggregated data, as well as culturally (German/metric, English/imperial). Aggregated raw data is  considered for the aggregated data search.
  • Search results are displayed for simple search, upload, qualification, and expert search.
  • Search results consist of "study" details such as creator, title, "study number", age ranges, and number of subjects (estimated for agg. data), and "tests" grouped by country, age range, gender, and number (estimated for agg. data) of subjects.