IGIBS

1. Best Practice model for interaction with the academic SDI IGIBS

2. Steve Walsh • Ex conservation worker • Ex lecturer from 2001 • Recently ex-self employed contractor/consultant for local authority • Newly reborn spatial data liberationist working on the IGIBS project Who is talking to you?

3. Interoperable Geospatial Information for Biosphere Study • EDINA, Aberystwyth University , Welsh Government • 7 month project ending Oct 31st 2011 • Based around the Dyfi Biosphere area in West Wales and within the Institute of Geography and Earth Studies. • Make data available to researchers students and the public • One outcome will be a report looking at departmental best practice IGIBS

4. Sanity check of my ideas • Plunder your ideas What do I want from today?

5. To define a best practice model for the interaction of a university department with the academic SDI “Geospatial Data Management and Sharing” Aim

6. Audience –academic departments that manage geospatial data; their decision makers, academic and support staff • Contents • Academic SDI (UK) • HE department • Case studies • Formulating best practice • Aberystwyth situation • Best practice model The Report

7. “SDI encompasses the policies, organisational remits, data, technologies, standard delivery mechanisms and financial and human resources necessary to ensure that those working with spatial data, whether at the global or local scale, are not impeded in meeting their objectives”, (INSPIRE consultation paper, 2003) “the relevant base collection of technologies, policies and institutional arrangements that facilitate the availability of and access to spatial data”, (GSDI cookbook 2001) SDI Definition

8. Academic SDI National funding and policy • National mapping Agencies • Research Council data centres • Research community • Informal- Google, Street map etc INSPIRE, FOI, EIR • JISC, EDINA, Gogeo JANET UK Location • Industry ESRIetc Shibb, Open source Technology • DCC Data MP

9. Department Structure Support Services • HOD/Senior Team Institutional Policy and Funding • Tech staff • Course managers • Research Group • Undergrads • Individual researchers • Postgrads

10. Academicattitudes

11. Lack of awareness So we have an ear, leg, tail, and trunk but what the heck is an academic SDI?

12. Data management Research papermanagement • Easily search literature • Create proposal • Seek funding • Create paper • Refine paper • Send to journal • Referees comments • Publish in various formats • Catalogue, archive and publicise • Receive credit • Paper still available 100 years later • Cant find existing relevant data • Spend time and money collecting new data • Use once • Leave on personal drives with no metadata record • Promotion to new job and data evaporates after one year

13. Data management in relation to paper production Costello 2009

14. We are looking at a range of case studies both from within the department and from the land management agencies • The case studies are the users and providers of geospatial data from the Dyfi Biosphere. • They include academic staff from undergraduates to Professors leading teams of researchers. Case Studies

15. AlisdairCunningham-IGES PhD candidate • PhD to develop a tool for analysing imagery to create habitat change maps • Data needs • Range of commercial satellite imagery including atmospheric quality data • Data provider • Habitat change maps relevant to WGCCWetc • Legacy of a tool to interpret future imagery Case Studies

16. MikeBailey-Countryside Council For Wales • Manages NNR within the Biosphere area • Data needs • Historic habitat extent • Recent changes related to habitat management • Data provider • Species surveys, designation monitoring Case Studies

17. Jonathan Brownett-IGES MSc candidate • Analysing forest change in the Dyfi Catchment over the past 8 years • Data needs • Range of mapping services incDigimap and field parcel data from the WG together with Landsat 7 imagery • Data provider • Habitat change time line relevant to Forestry Commission and future undergraduate students Case Studies

18. Hugh Evans – Forest Research • Research into forestry pests in Wales • Data needs • Historic felling and logging dates of forestry blocks to help manage Pine Weevil damage to newly planted forestry blocks Case Studies

19. EDINA surveys of orphaned datasets from four Universities …… • Climate gate- CRU University of East Anglia • Other egs? Recent History

20. Importance of metadata Structured metadata is the vital ingredient of any geospatial sharing infrastructure that seeks to promote the curation and sharing of these data. Ahonen-Rainio 2005, DCC 2011, Geoconnections 2011, Olfat et al 2010, Bank 2005, Higgins (S) 2006 etcetc

21. Academic Community Metadata Data

22. Geoportal for the discovery of metadata and for the creation and publishing of standards compliant metadata and geodata. Go-geo Share-Geo and Geodoc

23. Data management policy • Edinburgh • Hertfordshire • Support systems • Edinburgh art college data team • Teaching /training of future researchers • Research Data Mantra Current good practice

24. Hertford Data management Framework University of Hertford Data Management Policy Document March 2011

25. UK Government .. • UK Location Programme- INSPIRE in the UK • What will it mean for UK HE sector? • Recent Select Committee conclusion re data management “In line with this principle, where possible, data associated with all publicly funded research should be made widely and freely available.” “The work of researchers who expend time and effort adding value to their data, to make it usable by others, should be acknowledged as a valuable part of their role.” Science and Technology Committee - Eighth Report Peer review in scientific publications 2011 Policy environment

26. Research Councils • RCUK strong policy for publishing the access route to data with publications • NERC 2011 data policy • Includes presumption of free access to data and removal of funding for noncompliance Policy environment

27. No clear Institutional policy • No departmental policy • Individuals and research groups define current practice • Confirmation of EDINA survey.. Large numbers of orphaned datasets • Lack of awareness amongst staff of INSPIRE or the existence of an academic SDI Aberystwyth operating environment

28. Professional back-up services • Daily double tape storage in separate buildings • Storage for one year only • Computing policies • That highlight future research data management and research council requirements • Research paper depository/repository? • Cadair… showcase for UA research Aberystwyth Operating Environment

29. Cadair

30. Key departmental staff • Remote sensing research group • GIS module staff • Map librarians • Support services • IS • Digital librarians • FoIA/EIR compliance team Aberystwyth Operating Environment

31. For use by undergraduates and for teaching GIS modules • Establishing a Geodoc node for relevant metadata • Initial comprehensive datasets of the Dyfi Biosphere area • Metadata catalogue for student data discovery • Integration with taught GIS modules • Incorporation of Metadata and other SDI related concepts into teaching • Professional development of map librarians. Iges digital map library

32. Best Practice Model

33. Unique to time, place and geospatial data type…. • Place • Institutional, departmental and individual research group policies and culture • Change over time • RCs policies on data publication • Cultural shift • INSPIRE Best Practice Model

34. Wait for institutional or HEFCWetc/ legislative leadership Or Seek to influence individuals through action from within the department The way forward?

35. Department/s and or individuals to engage in promoting Institutional best practice • Create a culture that begins to move geospatial data management up the priority tree • Incorporate gsdm into undergrad courses • Provide training for post grads and staff Looking for a bottom-up approach

36. Leadership or initiative-taker • Development of a departmental policy for research data or engagement with the Institution to develop University wide policy • Involvement and ownership of the process by staff as important as the final policy Policy statement creation

37. Metadata creation and publication for significant publicly funded datasets • Watching brief (UK Location etc) for guidance on future implications for HEIs • Presumption of open access for publicly funded data (within IPR, Research paper publication and Data Protection limits) Get the basics right

38. EDINA • Gogeo, Geodoc, Share Geo • Create and share metadata and data • Digital Curation Centre • Model for data management (Staff or department?) • Other geospatial data depositories • Institutional repositories • Support staff Make best use of existing resources

39. Encourage the publication of geospatial data • Encourage funding applications for initiatives to develop best practice • Teaching • Research • Support services Integrate into the culture

40. Find, appoint or create data management torch bearers • Incorporate metadata creation, standards and importance into undergraduate teaching syllabus • Provide workshop/training opportunities for staff Integrate into the culture

41. Data creation

42. Data creation Check data quality and accuracy; recollect, improve Publish research; signpost to metadata and instigate DMP Collect data and confirm DMP and stakeholder requirements Develop research idea and review lit. Ensure appropriate short term storage and back-up Search for existing data Create metadata to appropriate standard Seek funding including cost of suitable DMP

43. Longer term Data management • Update metadata

44. Longer term data management Will a dedicated data journal accept and or will a data repository accept Does the data still have value to originator or other researchers? Can the access restrictions be relaxed? Possibly commit to bottom draw for a few years first! • Update metadata Transform or migrate the data Is it possible to reuse the data within or outside the department Is the storage format and or media appropriate

45. Metadata creation to at least AGMAP 2.1 standard as part of all spatial data collection • Expectation of data reuse within and without the department • Data management plan ( to DCC or RC standard?) for all important data • Identify skills gaps and fund staff development • Best use made of existing Institutional staff and resources • Review and improvement of gsdm planned and implemented Some key indicators