Introducing DRYAD

Today I want to introduce Dryad – maybe many of you know it already because it is not a project that has  just started, but a repository that was initially released in 2008.

As mentioned, Dryad is an international repository of data underlying peer-reviewed articles in the basic and applied biosciences, including biomedicine.

Dryad enables scientists to validate published findings, explore new analysis methodologies, repurpose data for research questions unanticipated by the original authors, and perform synthetic studies.

Dryad is governed by a consortium of journals that collaboratively promote data archiving and ensure the sustainability of the repository. Actually, Dryad contains 1228 data packages and 2953 data files, associated with articles in 100 journals.

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OpenAIREplus launched – linking peer-reviewed literature to associated data

In early December 2011 the Open Aire Plus Project was launched – the project is designed to run 30 months and is funded by the EU. The aim of the project is providing cross-links from publications to data and funding schemes.

OpenAireplus brings together 41 pan-European partners, including three cross-disciplinary research communities.

The project will build on the efforts of the OpenAIRE Project, that enables Researchers to deposit their research publications that were funded by ERA or FP7 into OA-Repositories.

In the copurse of the project, the current publication repository networks will be expanded to attract data providers from domain specific scientific areas.

Creating a robust, participatory service for the cross-linking of peer-reviewed scientific publications and associated datasets is the principal goal of OpenAIREplus. As scholarly communication touches upon many disciplines, the project’s horizontal outreach will facilitate collaboration across data infrastructures, providing information to scientists, non-scientists as well as to providers of value-added services. The project will establish an e-Infrastructure to harvest, enrich and store the metadata of Open Access scientific datasets. Underlying technical structures will be deployed to support the management of and inter-linking between associated scientific data.

Dr. Norbert Lossau, Scientific Coordinator of the project and Director of Goettingen State and University Library states:

“The participatory design of OpenAIREplus will seamlessly guide the researcher to Open Access research data. The experienced consortium will pave the way to support the research work of European scientists and open up the road to multi-disciplinary science”

Merry Christmas and a Happy New Year 2012!

As every year, the christmas tree in front of my office window reminds me that the year 2011 is going to end soon…it’s time to thank our project partners  for a successfull start of the project and a valuable cooperation. Furthermore, I want to thank all readers and commentators for your support in the last few months!

Since the start of the project to this day, 1000 readers visited our blog. In my eyes, this is a remarkable number for the two months and a few days since starting this. Thank you very much!

In the course of the next year we expect that even more people will visit us, because for 2012 we have a full agenda…

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Nature Magazine Special Issue: Data Replication & Repoducibility

The nature magazine has just published a special issue about data replication and reproducibility.

In their introduction the authors are claiming that replication is considered the scientific gold standard. To give a broader view about replication, the journal explores some of the issues associated with the replication of results in different scientific disciplines as for example primate cognition and behaviour research, computer sciences, biology and climate change studies.

Worth reading is the Editorial by J. Crocker and L. Cooper that is dealing with the fraud of Diederik Stapel and raises the question “what could be done to protect science and the public from fraud in the future?”. The answer of the authors, both psychologists, is:

“Greater transparency with data, including depositing data in repositories where they can be accessed by other scientists […], might have sped up detection of this fraud, and it would certainly make researchers more careful about the analyses that they publish.”

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DwB project invites researchers to apply for access to Secure Data Service

The Data without Boundaries  project (DwB) supports equal and easy access to official microdata for the European Research Area, within a structured framework where responsibilities and liability are equally shared.The project assumes that a comprehensive and easy-to-access research data infrastructure enables researchers to continuously produce cutting-edge research and reliable policy evaluations.

Especially the existing wealth of official microdata, currently under-used and held behind national, legislative, technical, and cultural borders is an important source for science and research. DwB claims that these borders  can be crossed over with cooperation and political will.

DwB contributes to the creating of an integrated model where the best solutions for access to official statistical microdata are available, irrespective of national boundaries, yet flexible enough to fit national arrangements.

DwB aims to enhance researchers’ transnational access to official micro data through coordination of existing infrastructures, as the Council of European Social Science Data Archives (CESSDA) and the European Statistical System (ESS).

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Project DaMaRO at University of Oxford

DaMaRO (Data Management Rollout at Oxford) is a collaborative project between several departments within the university: Oxford University Computing Services, the Bodleian Libraries, and Research Services. It is funded by JISC and will run until March 2013.

The aim of the project is creating a research data management policy for the University and the infrastructure to enable researchers to comply with it.

DaMaRO will take the outputs of the various research data management project that the University has been engaged in over the last few years and combines them into a better-integrated suite of tools and discovery mechanisms that will support researchers throughout the data life-cycle, from planning to re-use.

Of particular note is the ‘DataFinder’ tool that DaMaRO will be developing. This will enable the discovery of data hosted in various places around the University and beyond.

Behind the scenes, DataFinder will be able to automatically gather metadata from each of the tools and repositories it connects to, assign DOIs where they are not already assigned, and ensure that the metadata complies with the national DataCite standards. Furthermore, DataFinder will make the metadata it gathers available as linked data, and also map it to the CERIF standard, so that alerts can be issued to compatible research management systems when new project outputs are made available.

Beside software development, the DaMaRO Project will develop data management trainings and documentations for researchers.

SageCite-Project releases interviews with biosciences editors on citing and linking data

The SageCite project, funded by JISC, is releasing interviews with the editors of two leading journals in the Biosciences.  The two interviews explore a large range of issues concerning data, scholarly communications and publishers, the links between data and publications and interoperability between data repositories and publishers.

GESIS: Integration of Research Data and Literature in the Social Sciences

Today I want to introduce another project of the 27 projects that are funded by the German Research Foundation (DFG) in a call on “Information Infrastructure for Research Data”.

This project is InFoLiS (Integration von Forschungsdaten und Literatur in den Sozialwissenschaften / Integration of Research Data and Literature in the Social Sciences) – managed by GESIS, the Leibniz Institute for the Social Sciences.

Intensifying the interconnectedness between digital information systems and their respective data sources is a major issue in the digital era and constitutes an important demand for the supply of scientific information. Missing links between resources require scientists conducting empirical research to manually search full texts of publications for references to the underlying data sources. These references are not cited in a standardized manner. Information about the referenced data sources can only be accessed using separate and structurally distinct information systems. This procedure is not only time consuming, but the inconsistency and sometimes incompleteness of citations may also hamper or even impede data retrieval. Because of this, linking metadata of publications and studies and making them accessible directly via joint information systems constitutes an important task.

GESIS and the Mannheim University Library aim to achieve this objective in the InFoLiS project. Study data administered by GESIS shall be linked to publication data provided by Mannheim University Library in order to extend and professionalize existing  information systems. In the course of this project, various methods will be investigated and integrated into the involved systems. On this basis, the project will evaluate and recommend different approaches for data integration and thereby ensure the usability of the results for other universities and institutes engaging in Social Sciences.

Knowledge Exchange Meeting: EDaWaX Project presented!

Prof. Klaus Tochtermann, Director of the German National Library of Economics – Leibniz Information Center for Economics, gave a first presentation on the EDaWaX-Project.

Mr. Tochtermann gave the poster presentation in the course of the Knowledge Exchange Primary Data Workshop on Monday and Tuesday last week.

Knowledge Exchange is a co-operative effort that supports the use and development of Information and Communications Technologies (ICT) infrastructure for higher education and research.

The Knowledge Exchange partners express a common vision based on four national strategies:

‘To make a layer of scholarly and scientific content openly available on the Internet.’

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“Surfboard for Riding the Wave” Report: Data availability policies of journals

Additionally to my blogpost where I introduced the “Surfboard for Riding the Wave” report, I want to point out a single part of the report for this post:

In Chapter 3.5, data availability policies of journals are discussed – a subject connected to the tasks of the EDaWax work package  “Analysis of Data Policies”. Currently the EDaWax-Project is examining over 140 economic journals regarding their data availability policies.

Back to the “Surfboard”-Report: KE stated, that

“most peer-reviewed journals in science, technology and medicine have files where authors can add supplementary data related to the article, such as data sets, multimedia files, large tables, animations, and protocols.”

For example a study found out that the percentage of articles that contained supplementary materials increased from 7% in 2003 to 25% in 2009 – at least for the reviewed 28 high impact medical journals.

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“A Surfboard for Riding the Wave”: KE action plan on research data presented

Following the report “Riding the Wave: How Europe can gain from the rising tide of scientific data” that was released 2010 by the high level expert group on research data, the Knowledge Exchange (KE) partners have embraced this vision and commissioned a report that translates Riding the Wave into actions for the four partner countries and beyond.

The report was presented today during a KE workshop in Bonn.

The Report “A Surfboard for Riding the Wave” builds on the 2010 report and presents an overview of the present situation with regard to research data in Denmark, Germany, the Netherlands and the United Kingdom and offers broad outlines for a possible action programme for the four countries in realising the envisaged collaborative data infrastructure.

While the 2010 report of the high level expert group on research data presented a vision for the year 2030, the report of KE concretizes this vision for the four countries.

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#rdtk_herts: First Project Report available

The first monthly progress report of the project ‘Service Oriented Toolkit for Research Data Management‘ (aka #rdtk_herts) is available on the project website.

The ‘Service Oriented Toolkit for Research Data Management‘ project, is running at University of Hertfordshire from October 2011 until March 2013.

The site also contains a brief introduction to the Toolkit and an article pointing to University of Hertfordshire’s data management policy, which the Toolkit seeks to enable.
University of Hertfordshire published new policy and guidelines for staff with regard to Data Management on September 1, 2011. Most of the policy and its appendices are available publicly on the University’s Policy and Regulation web site under Data Management Policy.

The most useful part of the policy for Researchers is the appendix: Guide to Research Data Management . This contains a checklist of questions, the answers to which lead to the formation of a good practice Data Management Plan and also facilitate the responses likely to be required by external funding bodies.

The production of further guidance and demonstration of commoditised services is one of the purposes of the Research Data Toolkit project, thereby helping researchers to ‘tick off’ their checklist, create successful bids, and establish and cement good data management.

The project team welcomes feedback and information from members of the Research Data Management community!

The Social Life of Data

Martin Hall, Vice-Chancellor of the University of Salford, addresses in his blogpost some interesting questions and positions related to open data:

First he states that access to and use of data may be shaped as much by social conventions as by available technology.

He quotes a report published by NESTA and RIN to illustrate what he means:

“Cultures vary in different disciplines, which can itself cause difficulties in cross-disciplinary work; but researchers are typically both co-operative and competitive. The key currency for securing competitive career rewards is publication of articles, conference papers and monographs; and many researchers regard the data and other resources that they create in the course of their research as their intellectual capital which they wish to exploit and mine in order to produce new publications over an extended period. Some researchers fear that openness involves a loss of control, and a risk of being scooped by others”.

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Data Publishing: arguably a good thing-but there isn’t that much of it. Why?

“If the data and related metadata collected for impact evaluations was more readily discoverable, searchable, and made available, the world would be a better place. “

With this global statement Markus Goldstein, a researcher of the World Bank, started his blogpost about a better access to impact evaluation data.  For Goldstein, the advantages to access this kind of data are overwhelming:

“It would be easier to replicate studies and, in the process, to expand them by for example: trying other outcome indicators; checking robustness; and looking for heterogeneity effects (e.g. gender). There is also a wealth of other things one could do with the related metadata, including: looking at how different wording of survey questions generates different answers and getting parameters for power calculations. Last but not least, making these data available would allow for a wide range of non-impact evaluation research.”

Nature Magazine: Massive Fraud at Dutch Universities

The nature magazine reported that the famous Dutch psychologist Diederik Stapel had manipulated research data for years.

A Report [in Dutch] claimed that the prominent researcher of Tilburg University fabricated some of his eye-catching studies on social behaviour.

Actually at least 30 papers in peer-reviewed journals are in the focus of a committee that investigates the work of the  researcher.

The report says that Stapel often came up with a hypothesis and then designed an experiment to test it. Stapel took responsibility for collecting data and a few weeks later he produced a fictitious data file. In other cases Stapel received co-authorship after producing data he claimed to have collected previously that surprisingly exactly matched the needs of a colleague working on a study.

The data themselves were also curios the report mentioned: effects were large; missing data and outliers were rare; and hypotheses were rarely refuted.

Journals publishing Stapel’s papers did not question the omission of details about where the data came from.

In September Stapel was suspended from his position at Tilburg University – three young researchers had found irregulartities within his published data. An investigation followed – containing further papers and occupations in other universities, where Stapel worked prior to Tilburg University.

This is just another example that reflects the needs of publishing articels with their related research data. A task that is important for the quality of research as well as for the quality of scholarly journals.

Photo: ‘Fraud Key‘ by GotCredit on flickr.com. License: CC-BY-2.0