[6.1] Data Archive - Research Data Management - part of PhD course - [3TU.Datacenter]

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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)

Transcript of [6.1] Data Archive - Research Data Management - part of PhD course - [3TU.Datacenter]

Data Archive101 for PhD students, starting their academic career

[2014] CC-BY: 3TU.Datacentre

more info @ www.datacentrum.3tu.nl/en/

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)

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.

Trusted archiveBy 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.

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 Internet2. The data are accessible (clear rights and licences)3. The data are in a usable format4. The data are reliable5. The data are identified in a unique and persistent

way so that they can be referred to

Source: www.datasealofapproval.org

16 guidelines

Data Producers:Sufficient information to assess the quality of the dataRecommended formats

Repositories:Technical infrastructureEnsures integrity of digital objectsAccess and availability

Data consumersRespects the licences of the data repository regarding the use of data

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 selfuploadEg:Datasets with ‘unusual’ formatsSeries of datasetsDatasets bigger than 4Gb

Here we do a lot of awareness

Do it yourselfGo to:

www.datacentrum.3tu.nl/en/

What we offer

Upload your data

Middle of the page: Upload form

Register yourself

Do it yourself

Take the dataset you used for the data management plan(or any dataset you wish to upload)