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Video Source: http://www.youtube.com/watch?feature=player_embedded&v=STYCM63oG88




The UK. Data Archive acquire, curate and provide access to the UK’s largest collection of Social and Economic
Data. They also have the largest collection of digital data in the social sciences and humanities in the United
Kingdom. With several thousand datasets relating to society, both historical and contemporary, our Archive is
a vital resource for researchers, teachers and learners.
Creating
             Data                     Data often have a longer lifespan than the
                                      research project that creates them. Researchers
                                      may continue to work on data after funding has
Reusing                  Processing
 Data                       Data      ceased, follow-up projects may analyse or add to
                                      the data, and data may be re-used by other
                                      researchers.
                                      Well organised, well documented, preserved
                                      and shared data are invaluable to advance
                                      scientific inquiry and to increase opportunities
                                      for learning and innovation.
 Giving
                         Analysing
Access to
                           Data
  Data
                                      Source: http://www.data-archive.ac.uk/create-manage/life-cycle



            Preserving
               Data
This phase of the lifecycle talks about:
                       • Design Research
                       • Plan Data Management (formats, storage etc.)
                       • Plan Consent for Sharing
                       • Locate existing Data
                       • Collect Data (Experiment, Observe, Measure and
                          Simulate)
                       • Capture and Create Metadata

                       Good data management is fundamental for high quality
                       research data and research excellence. Data management
                       covers all aspects of handling, organising, documenting and
                       enhancing research data, and enabling their sustainability
                       and sharing.
                       Many research funders require data management and sharing
                       plans at the start of research projects. Many research funders
                       and publishers are committed to a long-term strategy for data
                       resource provision and encourage researchers to share data.




                            Video Source:
http://www.youtube.com/watch?feature=player_embedded&v=F6rEAULLenY
The Processing Phase of the lifecycle talks about:

•   Enter Data, Digitise, Transcribe and Translate
•   Check, Validate, Clean Data
•   Anonymise Data where necessary
•   Describe Data
•   Manage Data
•   Store Data

A data storage strategy is important because digital storage
media are inherently unreliable and all file formats and
physical storage media will ultimately become obsolete.
Media currently available for storing data files are optical
media - CDs and DVDs - and magnetic media - hard drives
and tapes.
At the Archive, where our business is the long-term
preservation of digital data, we recommend our own
principles on storage to researchers. Storage of data - both
digital and non-digital - from research projects should be
taken seriously from the start of research.
This phase of the lifecycle talks about:

•   Interpret Data
•   Derive Data
•   Produce Research Outputs
•   Author Publications
•   Prepare Data for Preservation


Data management is not just the responsibility of the
researcher who creates the data.
Many people are involved in the research process and have
roles in ensuring the integrity and quality of research data
and increasing the potential for data sharing.

A crucial part of making data user-friendly, shareable and
with long-lasting usability is to ensure they can be
understood and interpreted by any user. This requires clear
data description, annotation, contextual information and
documentation.
This phase of the lifecycle talks about:

•   Migrate Data to best format
•   Migrate Data to suitable medium
•   Back-up and store Data
•   Create Metadata and Documentation
•   Archive Data

Making back-ups of files is an essential element of data
management. Regular back-ups protect against accidental or
malicious data loss and can be used to restore originals if
there is loss of data.

Accidental or malicious loss of data can be due to:

•   hardware faults or failure
•   software or media faults
•   virus infection or malicious hacking
•   power failure
•   human errors by changing or deleting files
This phase of the lifecycle talks about:

•   Distribute Data
•   Share Data
•   Control Access
•   Establish Copyright
•   Promote Data

There is more than one avenue through which you can share
your data. As you start your research consider how your data
can be shared.

The digital revolution has caused a strong drive towards open
access of information, with the internet making information
sharing fast, easy, powerful and empowering.

Scholarly publishing has seen a strong move towards open
access to increase the impact of research, with e-journals,
open access journals and copyright policies enabling the
deposit of outputs in open access repositories.
This phase of the lifecycle talks about:

•   Follow-Up Research
•   New Research
•   Undertake Research Reviews
•   Scrutinise Findings
•   Teach and Learn

Copyright is an intellectual property right assigned
automatically to the creator, that prevents unauthorised
copying and publishing of an original work. Copyright
applies to research data and plays a role when creating,
sharing and re-using data.

The categorisation of copyright as a 'property' demonstrates
that copyright is something which belongs to someone,
cannot be taken away without consent and cannot be abused
without the possibility of legal action ensuing.

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Research data lifecycle diagram

  • 1. Video Source: http://www.youtube.com/watch?feature=player_embedded&v=STYCM63oG88 The UK. Data Archive acquire, curate and provide access to the UK’s largest collection of Social and Economic Data. They also have the largest collection of digital data in the social sciences and humanities in the United Kingdom. With several thousand datasets relating to society, both historical and contemporary, our Archive is a vital resource for researchers, teachers and learners.
  • 2. Creating Data Data often have a longer lifespan than the research project that creates them. Researchers may continue to work on data after funding has Reusing Processing Data Data ceased, follow-up projects may analyse or add to the data, and data may be re-used by other researchers. Well organised, well documented, preserved and shared data are invaluable to advance scientific inquiry and to increase opportunities for learning and innovation. Giving Analysing Access to Data Data Source: http://www.data-archive.ac.uk/create-manage/life-cycle Preserving Data
  • 3. This phase of the lifecycle talks about: • Design Research • Plan Data Management (formats, storage etc.) • Plan Consent for Sharing • Locate existing Data • Collect Data (Experiment, Observe, Measure and Simulate) • Capture and Create Metadata Good data management is fundamental for high quality research data and research excellence. Data management covers all aspects of handling, organising, documenting and enhancing research data, and enabling their sustainability and sharing. Many research funders require data management and sharing plans at the start of research projects. Many research funders and publishers are committed to a long-term strategy for data resource provision and encourage researchers to share data. Video Source: http://www.youtube.com/watch?feature=player_embedded&v=F6rEAULLenY
  • 4. The Processing Phase of the lifecycle talks about: • Enter Data, Digitise, Transcribe and Translate • Check, Validate, Clean Data • Anonymise Data where necessary • Describe Data • Manage Data • Store Data A data storage strategy is important because digital storage media are inherently unreliable and all file formats and physical storage media will ultimately become obsolete. Media currently available for storing data files are optical media - CDs and DVDs - and magnetic media - hard drives and tapes. At the Archive, where our business is the long-term preservation of digital data, we recommend our own principles on storage to researchers. Storage of data - both digital and non-digital - from research projects should be taken seriously from the start of research.
  • 5. This phase of the lifecycle talks about: • Interpret Data • Derive Data • Produce Research Outputs • Author Publications • Prepare Data for Preservation Data management is not just the responsibility of the researcher who creates the data. Many people are involved in the research process and have roles in ensuring the integrity and quality of research data and increasing the potential for data sharing. A crucial part of making data user-friendly, shareable and with long-lasting usability is to ensure they can be understood and interpreted by any user. This requires clear data description, annotation, contextual information and documentation.
  • 6. This phase of the lifecycle talks about: • Migrate Data to best format • Migrate Data to suitable medium • Back-up and store Data • Create Metadata and Documentation • Archive Data Making back-ups of files is an essential element of data management. Regular back-ups protect against accidental or malicious data loss and can be used to restore originals if there is loss of data. Accidental or malicious loss of data can be due to: • hardware faults or failure • software or media faults • virus infection or malicious hacking • power failure • human errors by changing or deleting files
  • 7. This phase of the lifecycle talks about: • Distribute Data • Share Data • Control Access • Establish Copyright • Promote Data There is more than one avenue through which you can share your data. As you start your research consider how your data can be shared. The digital revolution has caused a strong drive towards open access of information, with the internet making information sharing fast, easy, powerful and empowering. Scholarly publishing has seen a strong move towards open access to increase the impact of research, with e-journals, open access journals and copyright policies enabling the deposit of outputs in open access repositories.
  • 8. This phase of the lifecycle talks about: • Follow-Up Research • New Research • Undertake Research Reviews • Scrutinise Findings • Teach and Learn Copyright is an intellectual property right assigned automatically to the creator, that prevents unauthorised copying and publishing of an original work. Copyright applies to research data and plays a role when creating, sharing and re-using data. The categorisation of copyright as a 'property' demonstrates that copyright is something which belongs to someone, cannot be taken away without consent and cannot be abused without the possibility of legal action ensuing.