Tahmin, a student in our Geoinformatics for Urbanised society MSc programme, and I have been working hard over the last months to record, edit, and polish on our podcast project: a GIS-themed educational podcast from our Department of Geography (Geograafia osakond) here in Tartu, Estonia.
Introducing: Tartu Geo, a podcast about geography and geoinformatics related fields along with education, research, history, philosophy, ground breaking ideas and innovation. The show will also host guests from different sectors who will share insight about their research and work. We try to bring up new episodes every 15 days with exciting and newer topics of geoinformatics and geography. Stay tuned and happy listening.
https://tartugeo-podcast.com/
Please bear with us, we are still amateurs :-D The sound quality in some guest interviews is not great, but overall it is getting better and better as we progress. We have already several episodes lined up, and the podcast can be loaded from all the convenient places like iTunes, Stitcher, Spotify and of course you can add the feed also directly to your podcast app.
Please let us know any suggestions or advice that can help us grow. Like always comment, like and subscribe.
Showing posts with label Research. Show all posts
Showing posts with label Research. Show all posts
Friday, 3 April 2020
Wednesday, 25 September 2019
A review of selected latest journal articles in the field of Geoinformatics
I spontaneously filled an open slot for our regular PhD seminar in the Chair of Geoinformatics. As I described in an earlier blog post, I occasionally browse through latest published articles like scanning for headlines in the daily news. And with an app like Feedly or Inoreader you can tag interesting articles for later and group them. Now was the chance to re-iterate through some of the latest articles - literally aiming for only few months old to a maximum of 1-2 years old. I initially came up with a group of ca 30-35 articles, which was still too much for a single seminar.
GIScience is not a homogenous and strictly defined discipline, and there is no consensus among GIScience researchers about the relevant publication outlets.Filip Biljecki (2016) “A scientometric analysis of selected GIScience journals”, International Journal of Geographical Information Science, 30:7, 1302-1335, DOI: 10.1080/13658816.2015.1130831
The original idea was to cover a few different topics that are also relevant for the teaching and research we do in the department, such as:
- cloud processing and Google Earth engine
- machine learning and GIS (statistical modelling)
- at least like European level/scale modelling
- some modern cartography/visualization topics
- terrain modelling
I'd then give a short overview of journals, and the selected papers hand out copies one each. 5 minutes reading/skimming and then one circulation, and another 5 minutes, and then discussion. The timing turned out to be too optimistic and we spent more time discussion the papers and interesting facts the participants found for themselves.
- Comparison of FOSS4G Supported Equal-Area Projections Using Discrete Distortion Indicatrices, ISPRS Int. J. Geo-Inf. 2019, 8(8), 351; https://doi.org/10.3390/ijgi8080351
- Performance Testing on Marker Clustering and Heatmap Visualization Techniques: A Comparative Study on JavaScript Mapping Libraries, ISPRS Int. J. Geo-Inf. 2019, 8(8), 348; https://doi.org/10.3390/ijgi8080348
- Examining the sensitivity of spatial scale in cellular automata Markov chain simulation of land use change, International Journal of Geographical Information Science, 33:5, 1040-1061, DOI: 10.1080/13658816.2019.1568441
- The scale effects of the spatial autocorrelation measurement: aggregation level and spatial resolution, International Journal of Geographical Information Science, 33:5, 945-966, DOI: 10.1080/13658816.2018.1564316
- Comparative usability of an augmented reality sandtable and 3D GIS for education, International Journal of Geographical Information Science, DOI: 10.1080/13658816.2019.1656810
- Deeply integrating Linked Data with Geographic Information Systems, Transactions in GIS 2019 https://doi.org/10.1111/tgis.12538
- GIS&T pedagogies and instructional challenges in higher education: A survey of educators, Transactions in GIS 2019 https://doi.org/10.1111/tgis.12534
- The spatial allocation of population: a review of large-scale gridded population data products and their fitness for use, Earth Syst. Sci. Data, 11, 1385–1409, https://doi.org/10.5194/essd-11-1385-2019
- Google Earth Engine: Planetary-scale geospatial analysis for everyone, 2017, Remote Sensing of Environment, https://doi.org/10.1016/j.rse.2017.06.031
- Big spatial vector data management: a review, Big Earth Data, 2:1, 108-129, DOI: 10.1080/20964471.2018.1432115
- Contemporary American cartographic research: a review and prospective, Cartography and Geographic Information Science, 46:3, 196-209, DOI: 10.1080/15230406.2019.1571441
- Automated and semi-automated map georeferencing, Cartography and Geographic Information Science, DOI: 10.1080/15230406.2019.1604161
Friday, 20 July 2018
Considerations for Data Management Plans in Research
It's grant writing time again. Actually, it's somehow always grant writing time. But even if you are currently a team member in a publicly funded research programme, you might want to consider your data management.
A recent editorial of the Nature journal had it as prime topic: "Everyone needs a data-management plan". They sound dull, but data-management plans are essential. Funders must explain why, and the ones who want to get funded, need to explain how:
https://www.nature.com/articles/d41586-018-03065-z
Keeping your research data freely available is crucial for open science — and your funding could depend on it. A related companion article describes simple steps, "Data management made simple":
https://www.nature.com/articles/d41586-018-03071-1
Robert-Jan Smits, the EU's outgoing director-general for research, science and innovation, recently been appointed the EU's special envoy on open access, tasked with helping make all publicly funded research in Europe freely available by 2020, says that this should consequently also include the data.
https://horizon-magazine.eu/article/open-access-scientific-publications-must-become-reality-2020-robert-jan-smits_en.html
Imagine if all the billions we are now putting into these expensive subscription journals could be put into research. There are already a good variety of open access repositories like Zenodo, OpenAire etc.
How to make research data publicly available and how to plan for and address it in your Data Management Plan:
EU FAIR DATA PRINCIPLES
https://eudat.eu/events/webinar/joint-eudat-openaire-webinar-%E2%80%9Chow-to-write-a-data-management-plan%E2%80%9D
1. Making data findable
Several datasets may be included. This should consider the dataset reference and name; origin and expected size of the data generated/collected; data types and formats, metadata, persistent and unique identifiers e.g., DOI
- catalogues, data citing etc
2. Making data openly accessible
This should consider which data will be made openly available and if some datasets remain closed, the reasons for not giving access; where the data and associated metadata, documentation and code are deposited (repository?); how the data can be accessed (are relevant software tools/methods provided?)
- https://www.re3data.org/
- https://www.openaire.eu/opendatapilot-repository
The Registry of Research Data Repositories provides a useful listing of repositories that you can search to find a place of deposit.
3. Making data interoperable
The Research Data Alliance provides a Metadata Standards Directory that can be searched for disciplinespecific
standards and associated tools.
- http://rd-alliance.github.io/metadata-directory/standards/
Which standard or field-specific data and metadata vocabularies and methods will be used
4. Increase data reuse
Consider what data will remain re-usable and for how long, is embargo foreseen; how the data is licensed; data quality assurance procedures
- http://www.dcc.ac.uk/resources/how-guides/five-steps-decide-what-data-keep
More aspects:
- Allocation of resources and data security
- Note that costs related to open access to research data are eligible as part of the Horizon 2020 grant (if compliant with the Grant Agreement conditions).
Consider the estimated costs for making the project data open access and potential value of long-term data preservation; procedures for data backup and recovery; transfer of sensitive data and secure storage in repositories for long term preservation and curation
DMPOnline is an online tool that can help you building your Data Management Plan. DMPonline is based on the open source DMPRoadmap codebase, which is jointly developed by the Digital Curation Centre (DCC) and the University of California Curation Center (UC3). The DCC & UC3 work closely with research funders and universities to produce a tool that generates active DMPs and caters for the whole lifecycle of a project, from bid-preparation stage through to completion.
https://dmponline.dcc.ac.uk
A recent editorial of the Nature journal had it as prime topic: "Everyone needs a data-management plan". They sound dull, but data-management plans are essential. Funders must explain why, and the ones who want to get funded, need to explain how:
https://www.nature.com/articles/d41586-018-03065-z
Keeping your research data freely available is crucial for open science — and your funding could depend on it. A related companion article describes simple steps, "Data management made simple":
https://www.nature.com/articles/d41586-018-03071-1
Robert-Jan Smits, the EU's outgoing director-general for research, science and innovation, recently been appointed the EU's special envoy on open access, tasked with helping make all publicly funded research in Europe freely available by 2020, says that this should consequently also include the data.
https://horizon-magazine.eu/article/open-access-scientific-publications-must-become-reality-2020-robert-jan-smits_en.html
Imagine if all the billions we are now putting into these expensive subscription journals could be put into research. There are already a good variety of open access repositories like Zenodo, OpenAire etc.
How to make research data publicly available and how to plan for and address it in your Data Management Plan:
EU FAIR DATA PRINCIPLES
https://eudat.eu/events/webinar/joint-eudat-openaire-webinar-%E2%80%9Chow-to-write-a-data-management-plan%E2%80%9D
1. Making data findable
Several datasets may be included. This should consider the dataset reference and name; origin and expected size of the data generated/collected; data types and formats, metadata, persistent and unique identifiers e.g., DOI
- catalogues, data citing etc
2. Making data openly accessible
This should consider which data will be made openly available and if some datasets remain closed, the reasons for not giving access; where the data and associated metadata, documentation and code are deposited (repository?); how the data can be accessed (are relevant software tools/methods provided?)
- https://www.re3data.org/
- https://www.openaire.eu/opendatapilot-repository
The Registry of Research Data Repositories provides a useful listing of repositories that you can search to find a place of deposit.
3. Making data interoperable
The Research Data Alliance provides a Metadata Standards Directory that can be searched for disciplinespecific
standards and associated tools.
- http://rd-alliance.github.io/metadata-directory/standards/
Which standard or field-specific data and metadata vocabularies and methods will be used
4. Increase data reuse
Consider what data will remain re-usable and for how long, is embargo foreseen; how the data is licensed; data quality assurance procedures
- http://www.dcc.ac.uk/resources/how-guides/five-steps-decide-what-data-keep
More aspects:
- Allocation of resources and data security
- Note that costs related to open access to research data are eligible as part of the Horizon 2020 grant (if compliant with the Grant Agreement conditions).
Ethical aspects
Consider whether there are any ethical or legal issues than can have an impact on data sharing. For
example, is informed consent for data sharing and long term preservation included in questionnaires
dealing with personal data?
Last but not least, don't forget to refer to other national/funder/sectorial/departmental procedures for data management that you are using / supposed to be using (if any)
DMPOnline is an online tool that can help you building your Data Management Plan. DMPonline is based on the open source DMPRoadmap codebase, which is jointly developed by the Digital Curation Centre (DCC) and the University of California Curation Center (UC3). The DCC & UC3 work closely with research funders and universities to produce a tool that generates active DMPs and caters for the whole lifecycle of a project, from bid-preparation stage through to completion.
https://dmponline.dcc.ac.uk
Labels:
Data Management Plan,
DMP,
ERC,
Funding,
Metadata,
MSCA,
Open Access,
Open Data,
RDA,
Research,
Research Data,
Standards
Location:
Tartu, Estonia
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