Training about Data Archive You will learn: What a data archive is, and its benefits for you  What a data archive with a ‘Data Seal of Approval’ entails. How to put small, large and complex data in the data archive with two methods: do it together  do it yourself (hands on session)

1. Data Archive
101 for PhD students, starting their academic career
[2014] CC-BY: 3TU.Datacentre
more info @ www.datacentrum.3tu.nl/en/

2. What will you learn today
• What a data archive is, and its benefits for
you
• What a data archive with a ‘Data Seal of
Approval’ entails.
• How to put small, large and complex data
in the data archive with two methods:
– do it together
– do it yourself (hands on session)

3. Data Archive
• Multi disciplinary, multi institutional
data archive to ‘freeze’ research data
and data descriptions for future use.
– improve long-term accessibility, usability
and discoverability.
• In the archive, we store completed,
valuable data sets from completed
technical-scientific studies.

4. Trusted archive
By storing your data sets in a trusted archive, you can be
assured that:
• No physical incident will occur. We use advanced backup
facilities
• That the data sets can easily be located and retrieved.
We allocate descriptive metadata that remains inextricably
linked to the data, according to international standards
• That the formats in which the data is stored will
remain legible. The software with which the data sets can
be read is described and stored with a link to the data sets
• That copyright will be protected. We do this by allocating
descriptive metadata. You determine whether and when to
make your data available to others.

5. Data Seal of Approval
The 16 Data Seal of Approval
guidelines are based on the
following five criteria:
1. The data can be found on the Internet
2. The data are accessible (clear rights and licences)
3. The data are in a usable format
4. The data are reliable
5. The data are identified in a unique and persistent
way so that they can be referred to
Source: www.datasealofapproval.org

6. 16 guidelines
Data Producers:
Sufficient information
to assess the quality of
the data
Recommended formats
Repositories:
Technical infrastructure
Ensures integrity of
digital objects
Access and availability
Data consumers
Respects the licences
of the data repository
regarding the use of
data

7. Upload your data
2 ways to upload your data:
Do it yourself:
After registration you can upload your data yourself.
The data file must not be bigger than 4Gb.
Do it together (with us):
Everything but the selfupload
Eg:
Datasets with ‘unusual’ formats
Series of datasets
Datasets bigger than 4Gb
Here we do a lot of awareness

8. Do it yourself
Go to:
www.datacentrum.3tu.nl/en/
What we offer
Upload your data
Middle of the page: Upload form
Register yourself

9. Do it yourself
Take the dataset you used for the data management plan
(or any dataset you wish to upload)