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A stakeholder-centered determination of High-Value Data sets: the use-case of Latvia

<p>The data in this dataset were collected in the result of the survey of Latvian society (2021) aimed at identifying high-value data set for Latvia, i.e. data sets that, in the view of Latvian society, could create the value for the Latvian economy and society.<br> The survey is created for both individuals and businesses.<br> It being made public both to act as supplementary data for &quot;Towards enrichment of the open government data: a stakeholder-centered determination of High-Value Data sets for Latvia&quot; paper (author: Anastasija Nikiforova, University of Latvia) and in order for other researchers to use these data in their own work.</p> <p>The survey was distributed among Latvian citizens and organisations. The structure of the survey is available in the supplementary file available (see Survey_HighValueDataSets.odt)</p> <p>***Description of the data in this data set: structure of the survey and pre-defined answers (if any)***<br> &nbsp;&nbsp; &nbsp;1. Have you ever used open (government) data? - {(1) yes, once; (2) yes, there has been a little experience; (3) yes, continuously, (4) no, it wasn&rsquo;t needed for me; (5) no, have tried but&nbsp; has failed}<br> &nbsp;&nbsp; &nbsp;2. How would you assess the value of open govenment data that are currently available for your personal use or your business? - 5-point Likert scale, where 1 &ndash; any to 5 &ndash; very high<br> &nbsp;&nbsp; &nbsp;3. If you ever used the open (government) data,&nbsp; what was the purpose of using them? - {(1) Have not had to use; (2) to identify the situation for an object or ab event (e.g. Covid-19 current state); (3) data-driven decision-making; (4) for the enrichment of my data, i.e. by supplementing them; (5) for better understanding of decisions of the government; (6) awareness of governments&rsquo; actions (increasing transparency); (7) forecasting (e.g. trendings etc.); (8) for developing data-driven solutions that use only the open data; (9) for developing data-driven solutions, using open data as a supplement to existing data; (10) for training and education purposes; (11) for entertainment; (12) other (open-ended question)<br> &nbsp;&nbsp; &nbsp;4. What category(ies) of &ldquo;high value datasets&rdquo; is, in you opinion, able to create added value for society or&nbsp; the economy? {(1)Geospatial data;&nbsp; (2) Earth observation and environment; (3) Meteorological; (4) Statistics; (5) Companies and company ownership; (6) Mobility}<br> &nbsp;&nbsp; &nbsp;5. To what extent do you think the current data catalogue of Latvia&rsquo;s Open data portal corresponds to the needs of data users/ consumers? - 10-point Likert scale,&nbsp; where 1 &ndash; no data are useful, but 10 &ndash; fully correspond, i.e. all potentially valuable datasets are available<br> &nbsp;&nbsp; &nbsp;6. Which of the current data categories in Latvia&rsquo;s open data portals, in you opinion, most corresponds to the &ldquo;high value dataset&rdquo;? - {(1)Foreign affairs;&nbsp; (2) business econonmy; (3) energy; (4) citizens and society; (5) education and sport; (6) culture; (7) regions and municipalities; (8) justice, internal affairs and security; (9) transports; (10) public administration; (11) health; (12) environment; (13) agriculture, food and forestry; (14) science and technologies}<br> &nbsp;&nbsp; &nbsp;7. Which of them form your TOP-3? - {(1)Foreign affairs;&nbsp; (2) business econonmy; (3) energy; (4) citizens and society; (5) education and sport; (6) culture; (7) regions and municipalities; (8) justice, internal affairs and security; (9) transports; (10) public administration; (11) health; (12) environment; (13) agriculture, food and forestry; (14) science and technologies}<br> &nbsp;&nbsp; &nbsp;8. How would you assess the value of the following data categories?<br> &nbsp;&nbsp; &nbsp;8.1. sensor data - 5-point Likert scale, where 1 &ndash; not needed to 5 &ndash; highly valuable<br> &nbsp;&nbsp; &nbsp;8.2. real-time data - 5-point Likert scale, where 1 &ndash; not needed to 5 &ndash; highly valuable<br> &nbsp;&nbsp; &nbsp;8.3. geospatial data - 5-point Likert scale, where 1 &ndash; not needed to 5 &ndash; highly valuable<br> &nbsp;&nbsp; &nbsp;9. What would be these datasets? I.e. what (sub)topic could these data be associated with? - open-ended question<br> &nbsp;&nbsp; &nbsp;10. Which of the data sets currently available could be valauble and useful for society and businesses? - open-ended question<br> &nbsp;&nbsp; &nbsp;11. Which of the data sets currently NOT available in Latvia&rsquo;s open data portal could, in your opinion, be valauble and useful for society and businesses? - open-ended question<br> &nbsp;&nbsp; &nbsp;12. How did you define them? - {(1)Subjective opinion; (2) experience with data; (3) filtering out the most popular datasets, i.e. basing the on public opinion; (4) other (open-ended question)}<br> &nbsp;&nbsp; &nbsp;13. How high could be the value of these data sets value for you or your business? - 5-point Likert scale, where 1 &ndash; not valuable, 5 &ndash; highly valuable<br> &nbsp;&nbsp; &nbsp;14. Do you represent any company/ organization (are you working anywhere)? (if &ldquo;yes&rdquo;, please, fill out the survey twice, i.e. as an individual user AND a company&nbsp; representative) - {yes; no; I am an individual data user; other (open-ended)}<br> &nbsp;&nbsp; &nbsp;15. What industry/ sector does your company/ organization belong to? (if you do not work at the moment, please, choose the last option) - {Information and communication services; Financial and ansurance activities; Accommodation and catering services; Education; Real estate operations; Wholesale and retail trade; repair of motor vehicles and motorcycles; transport and storage; construction; water supply; waste water; waste management and recovery; electricity, gas supple, heating and air conditioning; manufacturing industry; mining and quarrying; agriculture, forestry and fisheries professional, scientific and technical services; operation of administrative and service services; public administration and defence; compulsory social insurance; health and social care; art, entertainment and recreation; activities of households as employers;; CSO/NGO; Iam not a representative of any company<br> &nbsp;&nbsp; &nbsp;16. To which category does your company/ organization belong to in terms of its size? - {small; medium; large; self-employeed; I am not a representative of any company}<br> &nbsp;&nbsp; &nbsp;17. What is the age group that&nbsp; you belong to? (if you are an individual user, not a company representative) - {11..15, 16..20, 21..25, 26..30, 31..35, 36..40, 41..45, 46+, &ldquo;do not want to reveal&rdquo;}<br> &nbsp;&nbsp; &nbsp;18. Please, indicate your education or a scientific degree that corresponds most to you? (if you are an individual user, not a company representative) - {master degree; bachelor&rsquo;s degree; Dr. and/ or PhD; student (bachelor level); student (master level); doctoral candidate; pupil; do not want to reveal these data}</p> <p>***Format of the file***<br> .xls, .csv (for the first spreadsheet only), .odt</p> <p>***Licenses or restrictions***<br> CC-BY</p> <p>&nbsp;</p> <p>&nbsp;</p>

ShareScore

44/100

Overall dataset sharing score

Score breakdown

These five areas show where the dataset supports — or may limit — practical reuse.

Stewardship
8
Harmonization
4
Access
20
Reuse readiness
8
Engagement
4

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