20130222 kaptur training_goldsmiths

• 1. program What is research data Kaptur What is visual arts researchdata Importance of research data Principles for data curationand preservation Break Group exercise Data management planning DMPOnline2

2. What is research data?data in the form of facts,observations, images,computer program results,recordings, measurementsor experiences on which anargument, theory, test orhypothesis, or anotherresearch output is based.Data may be numerical,descriptive, visual ortactile. It may be raw,cleaned or processed, andmay be held in any formator media - Queensland Universityof Technology Management Policy3 3. Kaptur Model of best practice Environmental assessment Evaluate managementsystems from userperspective Deliver RDM policy Sustainability and businessplan DMPOnline Dissemination4 4. FindingsThere appears to be littleconsensus in the visualarts on what research datais and what it consists of.Variously described by theinterviewees as tangible,intangible, digital, andphysical; this confirms theview of the project teamthat visual arts researchdata is heterogeneous andinfinite, complex andcomplicated. KapturEnvironmental Assessment Report5 5. Findings Difficult to define Multiple roles Awareness Collaboration Outside the institution Need for assistance Archiving Storage Re-use of material6 6. Kaptur definitionEvidence which is used or created to generate newknowledge and interpretations. Evidence may beintersubjective or subjective; physical or emotional;persistent or ephemeral; personal or public; explicit or tacit;and is consciously or unconsciously referenced by theresearcher at some point during the course of their research.As part of the research process, research data maybecollated in a structured way to create a dataset tosubstantiate a particular interpretation, analysis orargument. A dataset may or may not lead to a researchoutput, which regardless of method of presentation, is aplanned public statement of new knowledge orinterpretation Leigh Garrett, VADS7 7. DefinitionWithin the creative arts research data is evidence of an identified researchactivity Research data includes preparatory, unfinished and supportive work indigital form in additionto data relating tocompleted works. Project CAiRO8 8. Types of datastoryboards, mood boards,sketch book pages, notes,architectural models,reflection journals,recordings ofactivities/conversations,video/audio, digitalphotographs, videorecordings, interviews,computer algorithms ,interactive physical art,installation, exhibitionrecords, catalogues, previewinvitations, correspondence9with venue/curators. 9. Why manage? data drives a huge amount of what happens in our livesbecause someone takes the data and does something with it -Tim Berners-LeeThe management of research data is recognised as oneof the most pressing challenges facing the higher education and research sectors - JISC It is a truth universally acknowledged that researchers are interested in data of all kinds, regardless of origin or type Australian National Data Service10 10. Drivers Good practice Funder requirements Quantity of data in digitalform being produced New technologies andpractices Danger of obsolescence, lossof data, integrity of the data Follow up projects Data can be of value longafter a research project Validation of research Full economic return11 11. Funder requirements12 12. Goldsmiths RDM Policy http://www.gold.ac.uk/research-data/Agreed standardsThroughout research data lifecycleFunding body requirementsPI responsibilityCapture, management, integrity, confidentiality, retention, sharing, reuse, publicationCollege will preserve access (up to 10 years)Deposit elsewhere should be registeredFOI needs to be consideredData repository13 13. Curation Focusing on what is neededfor validation and re-use,rather than on the intrinsicattributes of research data,is useful because it raisesimportant considerationsthat might otherwise beseen as external to thedataset itself but impactupon the value and futureuse of the dataset: forexample, identifiers, file-naming protocols,metadata anddocumentation University of Melbourne draft policy on the Management of Research Data and Records14 14. DigitalCuration ConceptResearch DataLifecycle1. Select2. Organise Finalise/PreseDevelopntProposal3. Preserve4. Present Plan/Perform Research 15. DCC Curation Lifecycle Model16 16. Digital Preservation Longevity: the data will be available for the period of timetheir current and future users (the designated community)requires. Integrity: the data are authentic they have not beenmanipulated, forged or substituted. Because digitalpreservation techniques such as migration inevitably alter thedata, authenticity has to be demonstrated by paying attentionto characteristics of the data such as provenance and context Accessibility: we can locate and use the data in the future ina way that is acceptable to its designated community.17 17. Techniques: Integrity Copying data to a reliable digital storage system Managing ongoing data protection in accordance with good ITpractices for data security, backups, error checking Refreshing (moving to a newer version of the same storagemedia, or to different storage media, with no changes to the bitstream), checking accuracy of the results and documenting theprocess Maintaining multiple copies Ensuring you have the right to copy and apply preservationprocesses, which may require negotiation with rights owners.18 18. Techniques: Accessiblity Assigning persistent identifiers to the data to ensure they can be found Adding sufficient representation information to data (for example,information about file format, operating system, character encoding) sothat the bit stream is still meaningful and understandable in the future Producing data in open, well-supported standard formats Limiting the range of preservation formats to be managed Keeping track of developments (especially obsolescence) in hardware,software, file formats and standards that might have high impact ondigital preservation Retaining and managing the original bit stream in case futuredevelopments mean we can restore access to it.19 19. File formatsContent Type Ideal Format Acceptable formatDocumentsRich text format Docx, open documentformatImageTiff Png, Raw Jpeg 2000 (uncompressed)AudioAiff Mp3 Wav FlacAudio/VideoMpeg2 Mpeg420 20. File namingConsider the elements that will help you to organise and locate content E.g. Participant ID, site of data collection, date of data collectionConsider how data files and directories may be organised & sorted 001, 002, 003, 004, can be used for sequential files YYYY-MM-DD (2012-12-04) useful for organising by date (use year first)Identify different versions of content in filename (and in content) Creation date (YY-MM-DD) Version/draft numberConsider how your filenames will look to others Avoid spaces - My file.pdf becomes My%20file.pdf on the web Avoid capitalisation - Alters file sorting21 21. break22 22. Group exerciseFrom the research output example1. Identify the different possible types of research data2. How would you Kaptur this data? Hardware? Software? Formats? Documentation?3. Are there any issues concerning IPR, copyright, data protection, ethics?4. What would you need to do to ensure longevity, accessibility and integrity of the data?23 23. linkshttps://dmponline.dcc.ac.uk/http://kaptur.wordpress.com/http://www.dcc.ac.uk/http://www.jisc.ac.uk/whatwedo/programmes/mrd.aspxhttp://datalib.edina.ac.uk/mantra/http://www.dcc.ac.uk/resources/curation-lifecycle-modelhttp://kapturmrd01.eventbrite.co.uk/http://www.projectcairo.org/http://www.vads.ac.uk/kaptur/http://vocab.bris.ac.uk/data/glossary24 24. imageshttp://www.flickr.com/photos/articnomad/16153058/sizes/z/in/photostream/ - joshua Davis Photographyhttp://kirok-of-lstok.deviantart.com/art/Secrets-in-Unanswered-Questions-Title-Artwork-290260406Back them up! http://vads.ac.uk/flarge.php?uid=33946&sos=0Reckitt, Helena, Mullin, Diane and Scoates, Christopher. 0001.Paul Shambroom: Picturing Power.http://eprints.gold.ac.uk/7628/Born out of pleasure Harrell Fletcher http://eprints.gold.ac.uk/7655/Other images Andrew Gra/Janice Ward25 25. Thanks!26