Data Management Policies and Issues with Life Science Data

Data management and sharing are relatively new concepts in the health and life sciences fields. This presentation will cover some basic policies as well as the impediments to data sharing unique to health and life sciences data.

Using Open Geographic Data to Generate Natural Language Descriptions for Hydrological Sensor Networks

Providing descriptions of isolated sensors and sensor networks in natural language, understandable by the general public, is useful to help users find relevant sensors and analyze sensor data. In this paper, we discuss the feasibility of using geographic knowledge from public databases available on the Web (such as OpenStreetMap, Geonames, or DBpedia) to automatically construct such descriptions. We present a general method that uses such information to generate sensor descriptions in natural language. The results of the evaluation of our method in a hydrologic national sensor network showed that this approach is feasible and capable of generating adequate sensor descriptions with a lower development effort compared to other approaches. In the paper we also analyze certain problems that we found in public databases (e.g., heterogeneity, non-standard use of labels, or rigid search methods) and their impact in the generation of sensor descriptions.

Open Research Data

Open Research Data - A step by step guide through the research data lifecycle, data set creation, big data vs long-tail, metadata, data centres/data repositories, open access for data, data sharing, data citation and publication.

Discussion Paper: Researchers and Open Science

This paper introduces the concept of Open Science to policymakers and discusses how Open Science is fomenting change in the way scientific research is conducted, communicated, accessed and shared. The paper starts, firstly, by defining Open Science, identifying its pillars and describing its overall benefits. Secondly, it situates Open Science within the European Commission’s agenda for transforming science and democratising research1. Thirdly, it highlights the benefits and implications of Open Science for researchers – who are being increasingly encouraged to share research more widely and openly – and for policymakers, who have been adopting strategies and policies that encourage Open Science and open research. Importantly, this discussion paper intends to raise policymakers’ awareness to some of the reasons why researchers may or may not be supportive about Open Science. Finally, after highlighting the implications of Open Science for researchers, a reflection is made on how policymakers can implement cohesive and consistent policies and strategies that advance an Open Science agenda at the institutional, funder or national level(s).

Rethinking Open Science: The Role of Communication

The first version of this text was presented in the “Philosophy of Communication” section at the ECREA’s 5th European Communication Conference, “Communication for Empowerment,” in Lisbon in November 2014. I would like to thank the audience for the lively post-presentation discussion.

Open knowledge in science and elsewhere

Presentation at the Nordic Perspectives on Open Access and Open Science seminar, Helsinki, October 15, 2013

Big Data Processing in the Cloud: a Hydra/Sufia Experience

Presentation at Open Repositories 2014, Helsinki, Finland, June 9-13, 2014

Using Provenance for Quality Assessment and Repair in Linked Open Data

As the number of data sources publishing their data on the Web of Data is growing, we are experiencing an immense growth of the Linked Open Data cloud. The lack of control on the published sources, which could be untrustworthy or unreliable, along with their dynamic nature that often invalidates links and causes conflicts or other discrepancies, could lead to poor quality data. In order to judge data quality, a number of quality indicators have been proposed, coupled with quality metrics that quantify the “quality level” of a dataset. In addition to the above, some approaches address how to improve the quality of the datasets through a repair process that focuses on how to correct invalidities caused by constraint violations by either removing or adding triples. In this paper we argue that provenance is a critical factor that should be taken into account during repairs to ensure that the most reliable data is kept. Based on this idea, we propose quality metrics that take into account provenance and evaluate their applicability as repair guidelines in a particular data fusion setting.

Planning, operations and data handling of planetary science missions

Dissertação para obtenção do Grau de Mestre em Engenharia Física

On the cloud deployment of a session abstraction for service/data aggregation

Dissertação para obtenção do Grau de Mestre em Engenharia Informática

The Changing Nature of Library Networks - Open Data or One Big Silo?

Anders Söderbäckin esitys Kirjastoverkkopäivillä 26.10.2011 Helsingissä.

It’s a workflow engine. It’s working with linked data. It’s repository! – Supporting electronic thesis related processes in University of Helsinki library

Presentation at Open Repositories 2014, Helsinki, Finland, June 9-13, 2014

Current State of Repository Interoperability: Work by the Confederation of Open Access Repositories (COAR)

Panel at Open Repositories 2014, Helsinki, Finland, June 9-13, 2014

Leveraging open access for integrating repository data at Indiana University Libraries

Poster at Open Repositories 2014, Helsinki, Finland, June 9-13, 2014