General Information

Cases/Enablers
OOP Case
Appetizer
The university of FMUP has implemented a web-based interface for data insertion of its staff. The data of about 300 staff gets neatly organized in the system. It is then easily worked on and the information is organized according to requirements of different services.
Short summary
The university of FMUP has implemented a web-based interface for data insertion of its staff. Besides its logical organization, most fields have word-matching capabilities from relevant internal lists, drop-down menus for options, calendars, etc. There is also a detailed explanation for data format errors. This system has been going on since 2012, is updated every year using the comments from users and is also evaluated by them every year. From the administrative point of view, the data of about 300 staff gets neatly organized into an excel book. It is then easily worked on and the information is organized according to requirements: Scientific Report of the Faculty; Scientific Report of each department; evaluation of each researcher. Furthermore, any faculty service knows that only needs to contact one person to request staff information: human resources, academic departament, directors, scientific council, etc. The LGDF is also updated from feedback from all these people.
Focus
Citizens
Start date
Domain
Education
Scope
Region/Municipal
Country
Portugal
Nature and status of project
Rolled Out
Is the OOP case/enabler mandatory?
Mandatory

ENABLING ASSETS OR COMPONENTS

Semantic interoperability
Not applicable. As said elsewhere in this document, all our data exchange processes are rather arcaic. As mentioned, to connect with the main university system (Sigarra) we use Excel sheets for import/export. In addition, we do connect with external databases, such as publication repositories (e.g. Web of Knowledge, PubMed) but, again, we import a text file created by each user (related to their publication record).
Socio-cultural influence factors
LGDF has been crucial internally. It would be, otherwise, impossible to present detailed and accurate annual reports. In addition, indiduals are no longer constantly harrassed internally for providing the same information again and again. The OOP is now fully working in our institution. The data are also valuable at the highest level since it is the country Presidency itself involved, every year, on using a good part of the data collected to produce the comparative annual report of our institution. The individual data are not disclosed to anyone except the individual himself and his superiors. The only exception is the Science Manager, who is responsible for data checking for accuracy.
Data quality
The data is shared collectively, i.e., although each invididual gives is own data, a lot of it is dilluted with similar one given by others (e.g. collaborative publications). What comes out is the "whole", combined and per department or for the whole faculty (annual report). Each individual has access to is own data only on the context of his own evaluation. In this case, only him, his evaluator and the Science Manager have access to his personal data.

DATA HANDLING / DATA EXCHANGE

Type of data sharing
Actual data
Data handler
Stakeholder name
Teaching/researcher staff of FMUP
Stakeholder category
Citizen
Stakeholder Role
Data subject
Stakeholder name
Teaching/researcher staff of FMUP
Stakeholder category
Citizen
Stakeholder Role
Data provider
Stakeholder name
Teaching/researcher staff of FMUP
Stakeholder category
Citizen
Stakeholder Role
Data consumer
Stakeholder name
Science Manager
Stakeholder category
Citizen
Stakeholder Role
Data provider
Stakeholder name
Science Manager
Stakeholder category
Citizen
Stakeholder Role
Data consumer
Stakeholder name
FMUP (Director)
Stakeholder category
Government
Stakeholder Role
Data consumer
Stakeholder name
Head of Departaments
Stakeholder category
Government
Stakeholder Role
Data provider
Stakeholder name
Head of Departaments
Stakeholder category
Government
Stakeholder Role
Data consumer
Stakeholder name
PT Presidency
Stakeholder category
Government
Stakeholder Role
Data consumer
Lessons learned
Must define what we want the data for straight from the beginning. This will permit to tailor-make the language and system to be used avoiding later issues of compatibility. At the moment the way we work here is arcaic, using an Excel sheet that is imported into the University system (Sigarra) for concluding the process of the evaluation of staff. Every year we are learning of improvements from the users themselves and, indeed, we have been doing our best to implement them all (this has been the key enabler and sucess factor). Quite for some time too (3 years) we have been dreaming of an LGDF2.0 upgrade but lack of staff has been preventing such a major improvement.