What is-rdm


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Presentation given to creative arts PhD students at the 'Processes and Outcomes, Paths and Products' conference on 20th November at the CCA, Glasgow

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  • These seem to be the five main questions asked across the board by RCs First link takes you to a document that provides a comparison of what each funder asks for and the DCC link is to our guidance on data planning. We’re also providing an online tool to help in the formulation of data management and sharing plans.
  • Think of all the different types of information users (and you!) will need to understand the data in the future. If these aren’t captured at the time it’s very hard to do later. Using standards can make it easier to share / combine data later.
  • Think of all the different types of information users (and you!) will need to understand the data in the future. If these aren’t captured at the time it’s very hard to do later. Using standards can make it easier to share / combine data later.
  • What is-rdm

    1. 1. What is Research Data Management and why does it matter? Sarah Jones & Joy Davidson HATII, University of Glasgow sarah.jones@glasgow.ac.uk joy.davidson@glasgow.ac.uk Funded by: •POPP conference, CCA, Glasgow
    2. 2. What is research data? All manner of things that you produce in the course of your research
    3. 3. Defining research dataResearch data are collected, observed or created, forthe purposes of analysis to produce and validateoriginal research resultsBoth analogue and digital materials are dataDigital data can be: created in a digital form ("born digital") converted to a digital form (digitised)
    4. 4. What is research data management? 5. Preservation 1. “the active management and Create & Re-Use appraisal of data over the lifecycle of scholarly and scientific interest” 4. 2. Deposit Active Use PhD & Data Data management is part of 3. Selection & good research practice Evaluation
    5. 5. Why manage your data well?- so you can find and understand it when needed- to avoid unnecessary duplication- so you can finish your PhD!- to validate results if required- so your research is visible and has impact- to get credit when others cite your work
    6. 6. What is involved in RDM?- Data management planning- Creating data- Documenting data- Storing data- Sharing data- Preserving data
    7. 7. Good data management is about making informed decisions
    8. 8. •http://xkcd.com/949
    9. 9. Data management planningWrite a brief plan at the start of your project to define:• how your data will be created?• how it will be documented?• who will access it?• where it will be stored?• who will back it up?• whether (and how) it will be shared & preserved?DMPs are often submitted as part of grant applications, but are useful whenever you’re creating data.
    10. 10. Data management planning: adviceDecide what do you (and others) want to do with the data? make decisions that allow for thisTalk to support staff to see which option works bestUse the guidance and templates that are available DMP template for PhD students: http://blogs.bath.ac.uk/research360/2012/03/postgraduate- dmp-template-first-draft How to write a DMP: www.dcc.ac.uk/resources/how-guides/develop-data-plan
    11. 11. Creating dataWhat type and format of data will you create?- formats may be determined by the tools/software you use- common, widespread formats may be better to enable reuseHow will you create your data?- What methodologies and standards will you use?- How will you address ethical concerns and protect participants?- Will you control variations to provide quality assurance?
    12. 12. Creating data: adviceData can take many forms• Still images, video & audio• Notebooks & lab books• Survey results & interview transcripts• Experimental observations• Text corpuses• Models & software• ….
    13. 13. Good formats for long-term access• Unencrypted• Uncompressed• Non-proprietary/patent-encumbered• Open, documented standard• Standard representation (ASCII, Unicode) Type Recommended Avoid for data sharing Tabular data CSV, TSV, SPSS portable Excel Text Plain text, HTML, RTF Word PDF/A only if layout matters Media Container: MP4, Ogg Quicktime Codec: Theora, Dirac, FLAC H264 Images TIFF, JPEG2000, PNG GIF, JPG Structured data XML, RDF RDBMS •Further examples: http://www.data-archive.ac.uk/create-manage/format/formats-table
    14. 14. Use existing models Sample consent form from Managing and Sharing Data a guide by UK Data Archive http://data-archive.ac.uk/media/ 2894/managingsharing.pdf
    15. 15. Documenting dataWhat information do users need to understand the data?- descriptions of all variables / fields and their values- code labels, classification schema, abbreviations list- information about the project and data creators- tips on usage e.g. exceptions, quirks, questionable resultsHow will you capture this?Are there standards you can use?
    16. 16. Documenting data: adviceDocument at the time – it’s hard to do later, as you forgetThink about how to name, structure & version your fileswww.jiscdigitalmedia.ac.uk/crossmedia/advice/choosing-a-file-nameRecord contextual information in a text file (such as a‘read me’ file) in the same directory as the dataBe consistent so your first year data makes sense whenyou come to write up!
    17. 17. Storing dataWhat is available to you?What facilities do you need?- remote access to work from home- file sharing with others- high-levels of security for sensitive dataHow will the data be backed up?
    18. 18. Storing data: adviceSpeak to your local IT Team for adviceUse managed storage (i.e. the uni network) if possibleRemember that all storage is fallible – need to back-up ifthis is not already done for you (e.g. by uni)- keep 2+ copies on different types of media in different locations- manage back-ups (migrate media, test integrity)Choose appropriate methods to transfer / share data- email, dropbox, ftp, encrypted media, filestore, VREs...
    19. 19. One copy = risk of data loss •CC image by momboleum on Flickr kr Flic on row n Mor ary y Sh ge b ima•CC
    20. 20. Sharing & preserving dataAre you expected to share / preserve your data?Do you need to destroy some data e.g. because of consentHow will you share your data - can anyone help?
    21. 21. Sharing & preserving data: adviceKnow what you’re expected to share/preserve (or not!)Use available data centres - http://datacite.org/repolistShare your data where possible- there are benefits! More citations: 69% ↑ (Piwowar, 2007 in PLoS)
    22. 22. Tips for managing your dataFind out what support is available– Speak to the library & local IT support– Ask your supervisor for advice– Check out what facilities are in your department– See what others in your discipline are doingTraining course on managing creative artsdatawww.projectcairo.org/module/unit1-0.html
    23. 23. Thanks - any questions? For DCC guidance, tools and case studies see: www.dcc.ac.uk/resources Follow us on twitter @digitalcuration and #ukdccContent for various slides adapted from Research360 project at University of Bath
    24. 24. Discussion exercise• What types of data are you creating?• What issues do you have in managing your data? – Storage & backup – Accessing data from home – Understanding your data – ...• What have you learnt that may help in the future?