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Linked Data for Science and Innovation Studies: Using the SMS platform for enriching your research data
June 11, 2018 @ 9:00 am - June 12, 2018 @ 5:00 pm
The aim of the course is to train researchers to use the SMS (Semantically Mapping Science) platform for integrating, enriching and retrieving data for a specific research project. Participants will come with their own data and go with a specifically enlarged (linked to other SMS datasets) dataset needed for the intended study.
The promise of linked data is to have larger and richer research data than currently available. In this course, the participants are trained to produce and use linked data and the various possibilities provided by those data. Integrating and enriching of data are supported by the SMS platform, but there is still manual work to do, and this course is meant for training how to do those tasks. In this two-day course, participants will
(i) get familiar with the platform and its functions;
(ii) learn how to convert their own data so these can be linked to other data in the platform, as this requires a specific format
(iii) enrich the data through entity recognition and geolocation services – the first is related to textual data where for example organization names can be recognized in a CV, or technical terms can be recognized as referring to a specific disease;
(iv) link one’s own data to the data in the SMS data store.
(v) use the SMS browser to select those data from the SMS data store dat the user needs for his/her research project;
(vi) understand how this data browsing results in a query that can be used to retrieve the data from the data store in a usable format.
(vii) Finally, these data then can be used for analysis.
Programme and contents
Day 1 (Monday, 11th June 2018, Vrije Universiteit Amsterdam)
- Introduction on the SMS platform
Overview of the data in the SMS datastore
Overview of the data services of the SMS platform
- Preparatory steps
Converting your data into RDF
Enriching textual data with the entity recognition service
Geolocating the data
- The link service:
Basic linking between the own data and the SMS datastore
Using the link tool and the lens service to improve and taylor the links with the data store
Day 2 (Tuesday, 12th June 2018, Vrije Universiteit Amsterdam)
- The link service (2)
Applying the link/lens tool for linking
Checking the quality of the produced links
- Browsing the datastore (which the own data included)
Selecting the datasets relevant for the research question
Browsing those to identify the entities and the properties relevant for the research question
Final selection of the data needed using the browser; inspecting the query.
Running (by the SMS staff) of the query
Inspecting the retrieved dataset – doing some statistics on it.
- Discussion and evaluation of the results
Researchers (early career and experienced) interested in data integration for science and innovation studies, from within the RISIS consortium and from outside.
Participants can either be active researchers in the field, or data/information/computer scientists working together with STI studies researchers
Requirements for participation
- No specific requirement, although skills in social science research methods is recommended. The participants should have a research project and bring the data they already have for the project – the latter will be linked to the data store.
- Applicants interested to join the course need to send us their CV together with a brief motivation letter.
- No fees to be paid by European Union based Participants
- Travel and hotel of EU based participants will be covered by RISIS (economy flights, No expensive hotel).
- Lunch and coffee breaks will be organized on site for all participants.
Deadline for request participation
May 28th, 2018
Local organizing committee
Ali Khalili; Frank van Harmelen; Peter van den Besselaar; Al Idrissou