Language
English (UK)
Inter- and transdisciplinary mountain data across the Hindu Kush Himalaya
Please be assured that no personal data will be shared, and that potential identifying information will be removed from all responses during compilation of the results
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Gender
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Female
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1. What type of organisation do you work for?
Please Select
University / research
National hydrological / meteorological organisation or similar
Other governmental agency / local authority
Charity / NGO
Private sector
Other
If "Other," please specify:
2. Are you predominantly a data provider, a data user, or both?
Please Select
Data provider
Data user
Both
Neither
3. What types of data do your professional activities mostly rely on?
Please Select
In situ data (time series or punctual samples / surveys)
Remotely-sensed geospatial data
Simulated geospatial data
Statistical / tabular data aggregated across spatial regions
A combination of the above
4. Which disciplines are most relevant for your role? (max. 5)
Meteorology and climate science
Climate change (mitigation and/or adaptation)
Cryopshere
Hydrology
Biosphere / ecology
Natural hazards / DRR
Energy
Society and economy
Agriculture
Tourism
Environmental management
Sustainable development
Other (please specify below)
5. At what spatial scale do you mostly work?
Local (e.g. small field sites)
Regional (e.g. catchment-scale, administrative districts, etc.)
Mountain range (e.g. entire Himalaya)
Global
Across scales
6. On what time horizon do you mostly work?
Historical: Paleo
Historical: Recent years and decades (including ongoing long-term monitoring)
Future: Real-time or near real-time forecasting
Future: Seasonal projections
Future: Longer term projections / planning, including probabilistic approaches
Multiple time horizons
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7. To your knowledge, are the measurements / datasets required for your role(s) actually being made / exist?
Not at all
1
2
3
4
Completely
5
1 is Not at all, 5 is Completely
8. How do you currently discover potentially useful datasets? (max 3)
Word of mouth / from colleagues
From reading journal articles and technical reports
From conference / virtual presentations
Via web-searches (e.g. Google)
By searching dedicated geospatial catalogues (e.g. the ICIMOD Regional Database System, NASA Earth Explorer, Copernicus Open Access Hub, GEO System of Systems)
All of the above
Other (please specify below)
9. Do you / would you consider paying licence fees to obtain access to important datasets?
Never
Sometimes
Often
10. Do you currently experience difficulties in discovering, accessing, or using the necessary data for your work?
Never
1
2
3
4
Frequently
5
1 is Never, 5 is Frequently
11. What are the most critical lacking datasets for your role? (Please list, separated by ";")
12. Are the documentation and metadata that accompany the datasets you use generally sufficient / informative?
Never
1
2
3
4
Frequently
5
1 is Never, 5 is Frequently
13. Do technical or computational constraints limit your ability to obtain results / insights from the available data and information?
Never
1
2
3
4
Frequently
5
1 is Never, 5 is Frequently
14. To what extent would addressing the most critical data / access gaps identified improve the efficiency and impact of your work?
Not much
1
2
3
4
Greatly
5
1 is Not much, 5 is Greatly
15. If applicable, please provide links to examples of good practice in the region in terms of ease of data quality, data access, and/or metadata provision (Please list, separated by ";")
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16. Do you generally make your own data freely available to others for research / non-commercial purposes?
Please Select
Yes
No
Not applicable
If yes, what is your preferred method for doing so?
Please Select
Institutional repository
External repository (e.g. figshare, Mendeley Data, PANGAEA etc.)
Dedicated geospatial portal
Other
Not applicable
If "Other," please specify:
17. What is your primary motivation for sharing data?
Please Select
Service to the community
Provide my data in the hope others will do likewise
Mandated by journal / funding agency
Mandated by institution / organisation
Not applicable
18. Which of the following steps from data obtention to delivery/sharing do you consider to be most problematic? (max. 1)
Making the actual measurements / data processing
Generating informative metadata
Finding a suitable persistent and discoverable repository
Selecting an appropriate licencing option
Not applicable (e.g. I am a not a data provider)
Other (please specify below)
19. What do you perceive to be the major barriers preventing more routine / extensive data sharing and exchange? (max. 3)
Limited time / funding
Limited technical capacity
Institutional competition
Not all journals / funding agencies require data sharing (lack of incentive)
Large file sizes / IT constraints
Other (please specify below)
20. To what extent are you concerned that your data could be applied for purposes that they were not developed for (i.e. misused) ?
Not at all
1
2
3
4
Extremely concerned
5
1 is Not at all, 5 is Extremely concerned
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21. Do you consider Open Data (and Open Science more generally) to be important for the advancement of your discipline and related policy and practice?
Unimportant
1
2
3
4
Extremely important
5
1 is Unimportant, 5 is Extremely important
22. For what proportion of your projects / articles in the last 5 years did you make research materials (including data) freely available?
Please Select
None
> 0% but < 50%
> 50% but < 100%
All
23. Do you consider the increased prominence and recognition of "data publications" (e.g. in journals such as Earth System Science Data and Scientific Data) to be a positive development?
No
1
2
3
4
Yes
5
1 is No, 5 is Yes
24. Which of the following strategies hold most potential for improving the availability and usability of climate and climate impact-related data in mountain terrain? (tick all that apply)
Extend existing in situ observatories and establish new ones, ultimately developing a network of Mountain Observatories with some common standards
Exploit the potential of contemporary high-resolution satellite-based Earth Observation products and related technologies (e.g. Data Cubes)
Combine in situ data, remotely-sensed data, and numerical models to generate spatially and temporally complete datasets that are informed to the greatest extent possible by all available observations
Exploit the latest climate models for both historical reanalyses and future predictions
Other (please specify below)
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25. What online data portal functionality would be most important to you? (max. 5)
Efficient filtering by region / discipline
Link to / provision of associated documentation and metadata
Link to data repository and straightforward data download
Geospatial visualisation
Geospatial interaction (e.g. querying layers)
Ability to create and download spatio-temporal subsets
Ability to combine datasets to generate metrics oriented towards policy- and decision makers
Information on associated licencing conditions for each dataset
Other (please specify below)
26. "The large number of different geospatial data portals complicates the discovery of relevant datasets": To what extent do you agree?
Disagree
1
2
3
4
Agree
5
1 is Disagree, 5 is Agree
27. "The data portals that I use often suffer from limited functionality (e.g. broken links, crashes, etc.)": To what extent do you agree?
Disagree
1
2
3
4
Agree
5
1 is Disagree, 5 is Agree
28. Would you consider a dedicated regional inventory / data portal to be important?
Unimportant
1
2
3
4
Extremely important
5
1 is Unimportant, 5 is Extremely important
29. Do you have any further reflections on the situation and possible challenges regarding inter/transdisciplinary data in your mountain region(s) or globally (e.g., financial/institutional barriers, site access and conditions, geopolitical situation, data discoverability, collaboration, data access and sharing, infrastructure, funding, technical capacity, etc.)?
30. Would you like us to contact you to discuss any aspect of your responses confidentially?
Yes
No
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