Research data lifecycle diagram
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Research data lifecycle diagram

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Research data lifecycle diagram Research data lifecycle diagram Presentation Transcript

  • Video Source: http://www.youtube.com/watch?feature=player_embedded&v=STYCM63oG88The UK. Data Archive acquire, curate and provide access to the UK’s largest collection of Social and EconomicData. They also have the largest collection of digital data in the social sciences and humanities in the UnitedKingdom. With several thousand datasets relating to society, both historical and contemporary, our Archive isa 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 hasReusing 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 AnalysingAccess 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 DataA data storage strategy is important because digital storagemedia are inherently unreliable and all file formats andphysical storage media will ultimately become obsolete.Media currently available for storing data files are opticalmedia - CDs and DVDs - and magnetic media - hard drivesand tapes.At the Archive, where our business is the long-termpreservation of digital data, we recommend our ownprinciples on storage to researchers. Storage of data - bothdigital and non-digital - from research projects should betaken 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 PreservationData management is not just the responsibility of theresearcher who creates the data.Many people are involved in the research process and haveroles in ensuring the integrity and quality of research dataand increasing the potential for data sharing.A crucial part of making data user-friendly, shareable andwith long-lasting usability is to ensure they can beunderstood and interpreted by any user. This requires cleardata description, annotation, contextual information anddocumentation.
  • 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 DataMaking back-ups of files is an essential element of datamanagement. Regular back-ups protect against accidental ormalicious data loss and can be used to restore originals ifthere 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 DataThere is more than one avenue through which you can shareyour data. As you start your research consider how your datacan be shared.The digital revolution has caused a strong drive towards openaccess of information, with the internet making informationsharing fast, easy, powerful and empowering.Scholarly publishing has seen a strong move towards openaccess to increase the impact of research, with e-journals,open access journals and copyright policies enabling thedeposit 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 LearnCopyright is an intellectual property right assignedautomatically to the creator, that prevents unauthorisedcopying and publishing of an original work. Copyrightapplies to research data and plays a role when creating,sharing and re-using data.The categorisation of copyright as a property demonstratesthat copyright is something which belongs to someone,cannot be taken away without consent and cannot be abusedwithout the possibility of legal action ensuing.