Fuertes, N

Galeano, MA

UCL Discovery

13.1. HABEAS DATA1 VS OPEN DATAIn Colombia, there is a regulatory framework that protects the publication of personal data such as names, municipality, identification documents, phone numbers and addresses. In addition any information regarding children’s development and victims of conflict is also protected by this regulation. For this reason, Centro de Datos (CEDE) at University of the Andes has created a range methods in order to publish research data and make it as open as possible, but without revealing the elements protected by Habeas Data. These methods include: confidential agreements, users with different levels of access, and a special data processing room located in the School of Economics at the University of the Andes. 13.2. TYPES OF USERS AND ACCESS POLICYAs a dissemination platform for its information CEDE uses its web page https://datoscede.uniandes.edu.co/ Nonetheless, due to the sensitivity and the costs of the data only users with the appropriate level of granted access clearance can access this information. To this end the platform has three different categories of users: professors from the Economics department, other University of the Andes members, and finally external users. The first have free access to all of the data sets the web page offers, the main reason for this being that the information has been collected or requested by them. The second group has limited access to the information; an authorisation from a professor of the University, along with a brief summary of the investigation for which the data is needed, are necessary in order to access restricted information. Lastly, the third group can only access the public data available in the web page, and no further information is allowed due to the contracts by which the University obtains restricted information.13.3. ANONYMISATION PROTOCOLSIn order to publish restricted data, our CEDE created an anonymisation protocol. The algorithm used consists of:•  Generating a random number in order to identify the household. This number is generated based on the interviewer identification number, order of the municipalities visited and order of the interviews conducted in the house;•  Generating a consecutive number based on the interview order and on the order of the municipalities visited. 12.5. SCOPE OF THE SERVICEThe Digital Education Team will support academic colleagues, colleges, units and individual researchers to publish educational media (podcasts, video, files, etc.) under an appropriate Creative Commons Licence. The team will also promote and support the use of OER in teaching at UCL via its user communities, websites, news publications, workshops and events. In partnership with Library Services, it will offer staff and students training in copyright licensing and how to prepare materials for open publication and platforms for dissemination. Furthermore UCL encourages members of the university to use, create and publish OERs to enhance the quality of the student experience, provided that resources used have undergone quality assurance, are fit-for purpose and relevant. 12.6. WHERE DO UCL OER SERVICES SIT?The OER service will be a partnership between the UCL Digital Education Team, UCL Library Services and UCL Press. UCL Digital Education is based within the Information Services Division (ISD) and provides support, advice and training for all aspects of Learning Technology, e-learning and open and distance learning across the whole of UCL. The Division of UCL Library Services runs UCL Discovery,6 UCL’s open access research repository, and UCL Press is a department of UCL Library Services. 12.7. POLICY DEVELOPMENTCurrently there is no existing national OER policy in the UK to support institutions in OER adoption and no current OER institutional repository in UCL. There is a UCL Research Data policy7 and a LERU Working Group produced the LERU Roadmap for Research Data8 which contains a range of guidance and information on Open Data and which could be extended or adopted for OER. UCL’s current policy and advocacy for RDM are fully in line with the LERU Roadmap. In terms of a potential future UCL policy in OER, it should articulate and expand upon UCL’s position on OERs and provide guidelines for practice in learning and teaching and RDM procedures. The University could encourage staff and students to use, create, and publish OERs via institutional and other repositories and help them track usage and impact.  12.8. CONCLUSIONSOER as a service with its RDM setup is not so difficult to setup if other data management systems are already in place in a University setting. We contend that is why an OER service should be embedded into UCL’s Library services and main Content Management System tools.6 UCL: http://discovery.ucl.ac.uk; last accessed 5 February 2017.7 UCL http://www.ucl.ac.uk/isd/services/research-it/documents/uclresearchdatapolicy.pdf; last accessed 5 February 2017.8 LERU: http://www.leru.org/files/publications/AP14_LERU_Roadmap_for_Research_data_final.pdf, last accessed 5 February 2017.7 4 L E A R N 7 5C A S E  S T U D Y  1 3Case Study13 The handling of research data in the social sciences at University of the Andes – Data  Centre (CEDE) – Colombia Authors: Nicolás Fuertes (Data Centre Manager) & María Alejandra Galeano (Research Assistant), CEDE University of the AndesEmail: nd.fuertes1359@uniandes.edu.co / ma.galeano258@uniades.edu.co 1 Habeas Data: https://en.wikipedia.org/wiki/Habeas_data; last accessed 7 February 2017.This project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 654139.DOI: https://doi.org/10.14324/000.learn.1413.4. RESTRICTED DATA AND CONFIDENTIAL AGREEMENTSIn line with the Open Data initiative, CEDE has classified its datasets into five different groups: open data, public use, licensed data, external repository and data that is not available. The data that is considered licensed is mainly information from public institutions, which hold material that is relevant for economic research, but where that information is not generally freely accessible. To access this type of data, the University subscribes to confidentiality agreements or contracts. However, due to the sensitive nature of this data, its availability is subjected to an authorization process by which professors attest to the use of the data by a student, subject to a prior discussion as to its necessity within the specific research process. The data that contains information protected by Habeas Data also has an additional step of authorization, in which the researcher has to sign a confidentiality clause where they agree not to reveal information about particular individuals, not to use the data for other purposes, and/or not to circulate the information among other people that lack the necessary permission to use it. 13.5. DATA PROCESSING ROOMAs a contingency measure to protect the information subject to Habeas Data and to guarantee access to the information, CEDE jointly with the National Department of Statistics (DANE) have made available a data processing room. In this space researchers can access information with no anonymity process in order to estimate more complete economic models. To access this room, researchers have first to request the information from DANE by way of an email in which they give details of the specific data set and give a brief introduction to the research project they are working on. After this, DANE grants access by creating a designated user file into which the information requested is placed. Finally, researchers sign a confidentiality agreement and schedule an appointment to work on the computers available in the data processing room. These computers provide no Internet connection or USB ports, in order to control the entry and extraction of data. When researchers want to enter or take information, they must first send an email to DANE concerning the material they want to enter or file, as well as the output format, to obtain the results from the calculation made in the data processing room. Under no circumstances is the raw data made available out of this room. 13.6. CONCLUSIONS For CEDE it is important to make the data available and as open as possible. However, in this process, it is necessary to respect the law related to personal data protection in Colombia. CEDE has identified and operates some methods that are useful to open the data without revealing the protected elements within it. For this reason, the University believes that it is important to find a way under the law to publish this data and make it as open as possible.7 6 L E A R NSection 5Research Data InfrastructureThis project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 654139.

The handling of research data in the social sciences at University of the Andes – Data Centre (CEDE) – Colombia

http://discovery.ucl.ac.uk/1546567/1/13_Learn_CS13_75-76.pdf

The handling of research data in the social sciences at University of the Andes – Data Centre (CEDE) – Colombia

Abstract

Similar works

Full text

Available Versions

UCL Discovery