Spatial Data Infrastructure is a concept tied to public policy. Depending of the scale we can speak about Global (GSDI), National (NSDI) or Local Spatial Data Infrastructure. In a broad sense can be understanded as the geospatial data infrastructure that governments need in order to fullfill their functions and responsabilities in the age of information. Bussiness Geospatial Infrastructure is more related to organizational public or private activities. Spatial Research Infrastructure (SRDI) I think, Could be related specifically to Science and Research policies, a kind of Bussines SDI.

What I think Could be a difference between government's SDI and RSDI is in an SDI data, services, metadata and so on are standarized and data is collected systematically and regullary. A Gov SDI can also relly on data that belongs to public organizations. Some of the data available on an Gov SDI can be part of a RSDI, but I think a RSDI will focus on the standarization of metadata and services and probably about data description using a general scheme. I am not sure if RSDI's data can be standarized in a same way of Gov's SDI, because in science's data is very complex. Only speaking about the variety of formats, types we have different ways of storing data and knowledge (graphics, charts, samples, units of measure, observations, descriptions, networks, vocabularies, etc. etc.). Disagregation of data is also something expected on a RSDI and is something you have to deal. What is for sure metadata must describe clearly what kind of data is stored in a RSDI in order to garantee the data discovery and rehuse. Methods of how to rehuse data must also have to be developed.

Spatial Data Infrastructures provide a platform that offers an interaction between spatial data, with networks, standards and policies. This framework can be used to develop institutional arrangements, legal and political tools, social resources to facilitate the integration of spatial data and its maximum potential use. To do this, there must be a channel involving data providers, resellers and users, helping to interact with technical, policy and standards tools to coordinate and use the data correctly. SDI offers minimization of costs and time when integrating data from multiple sources. However, this has not yet been achieved. More research is needed to achieve efficient data integration in the context of the SDI project; the results can assist in the development of technical, political, institutional and management tools. When this is achieved, data integration will facilitate sustainability.

Thanks a lot Gabriel Asato for your comprehensive explanation and insight on the SDI and RSDI. Will be so kind as to add some references that are worth reading on RSDI.

Really appreciate Rafael Wendell Barros Forte da Silva for your clear definition on SDI and your critical comments on state of art about SDI research. It will be great if you are kind to share any literature link for further reading.

Looking forward.

SEND SOME SUGGESTIONS.

It is interesting to note that the adoption of criteria for the standardization of geographic data sharing services based on interoperability and integration between existing systems is an important requirement for FDI. The greatest benefit is to share data, information and analysis between participating associations to produce or update their services, reduce costs and improve the spread of published data between managers of public companies and a society.

https://www.scielo.br/pdf/ambiagua/v7n2/v7n2a16.pdf

Article ESTUDO SOBRE INFRAESTRUTURA DE DADOS ESPACIAIS PARA EMBASAR ...

http://revista.ibict.br/liinc/article/view/3461

CROMPVOETS, J.; BREGT, A.; RAJABIFARD, A.; WILLIAMSON, I. Assessing the worldwide developments of National Spatial Data Clearinghouses. International Journal of Geographical Information Science 18 (7): 665–689pp. 2004.

DAVIS Jr, C. A.; ALVES, L. L. Local Spatial Data Infrastructures based on a service-oriented architecture. In: Brazilian Symposium on Geoinformatics. Proceedings. Campos do Jordão. 30–45pp. 2005.

ELWOOD, S. Grassroots groups as stakeholders in Spatial Data Infrastructures: challenges and opportunities for local data development and sharing. International Journal of Geographical Information Science. 22 (1): 71–90pp. 2008.

EPICOLLECT.NET. Disponível em Http:// Www.Epicollect.Net/. Acesso em janeiro de 2014 FEENEY, M. F.; WILLIAMSON, I. P.; BISHOP, I. D.  e role of institutional mechanisms in Spatial Data Infrastructure development that supports decision-making. Cartography 31 (2): 21–38pp. 2002.

FERNÁNDEZ, T. D.; IGLESIAS, R. C.. Spatial Data Infrastructure: from National to Local Level. In: World Conference. Proceeding. Rotterdam June. 2008.

GRUS, L.; CROMPVOETS, J.; BREGT, A. K. Spatial Data Infrastructures as complex adaptive systems. International Journal of Geographical Information Science 24 (3): 439–63pp. 2010.

HENNIG, S.; B., M. User-Centric SDI: addressing users requirements. Geoforum Perspektiv.10. (20). 2012

HJELMAGER, J., MOELLERING, H.; COOPER, A.; DELGADO, T.; RAJABIFARD, A.; RAPANT, P.; DANKO, HUET, D. M.l; LAURENT, D.; AALDERS, H.. An initial formal model for Spatial Data Infrastructures. International Journal Of Geographical Information Science 22 (11-12): 1295–1309pp. 2008.

Sujit Sikder

Rafael Wendell Barros Forte da Silva thanks for your suggested literature for further reading.

Here are some more updates to follow on RDI, in general, find some further discussion to follow on:

Output and Recommendation of Research Data Alliance-Global: https://www.rd-alliance.org/recommendations-and-outputs/catalogue

European Open Science Cloud: https://eosc-portal.eu/services-resources

Go-FAIR: https://www.go-fair.org/resources/

A reference of way to FAIR research data Infrastructure:

Bensmann, F, et al. 2020. An Infrastructure for Spatial Linking of Survey Data. Data Science Journal, 19: 27, pp. 1–18. DOI: https://doi.org/10.5334/dsj-2020-027