News & Articles

The Rescue of Data At Risk: An RDA / CODATA Workshop

A workshop on The Rescue of Data At Risk will be held in Boulder, Colorado, on 8–9 September 2016, in association with International Data Week that is taking place the following week in nearby Denver.

The Workshop is being organized by the joint CODATA Task Group for Data At Risk and the RDA Interest Group for Data Rescue, and is being hosted by NCAR (the National Center for Atmospheric Research), 3090 Center Green Drive, Boulder, CO 80307, USA.


It is becoming imperative, and urgent, to broadcast the need to rescue (uncover, preserve, digitize and create public access to) heritage data which are languishing in non-digital (or non-readable) formats and cannot be used at all efficiently (or at all) for research in that state. Many are stored in inappropriate conditions and may be deteriorating rapidly. The most effective tool is example―showing what can be gained (and equally, what is currently being lost), both in science and in the humanities and social sciences.

By presenting a variety of Case Studies, the Workshop will demonstrate the scientific value of recovering the information from those non-electronic data through the use of modern technology, and will debate the methods, techniques, and support, needed to make many more of those older data widely accessible.

The Workshop also needs to hear about projects which were unsuccessful―or never even got off the ground―since one objective is to size up the actual challenges.

Content and Schedule

We invite papers, either as oral presentations or as posters, that describe the management and challenges of nearly-lost heritage data. Posters will be on view for the duration of the Workshop, and may thus gain much more exposure than would a brief oral presentation. Following presentation(s) on one of the Workshop themes, the meeting will divide into breakout sessions to discuss the specific challenges or pointers, and then collect and review the various conclusions.


  1. Locating nearly lost data (“dark data”), e.g., libraries, reports, closed field stations, hearsay. Aspects of access, borrowing or transferring ownership
  2. Contents catalogues for analogue materials
  3. Digitizing technologies
  4. Meta-data
  5. Long-term preservation of digitized records
  6. Long-term preservation of originals.

Registration .... (Coming soon)

Registration (at approximately $100 USD) will include morning/afternoon tea/coffee breaks and lunch on both days, and a bus to/from hotels if required. A Registration page will be available soon. Please pre-register by sending an email, stating your intention to attend, to Elizabeth.Griffin [at] and include "Boulder Data Rescue Workshop" in the subject line.

Travel and Accommodation

Boulder is about 40 miles (70 km) from Denver International Airport. The route is serviced by the AB bus (see schedules).


Preferential rates have been arranged with the Best Western Inn Boulder for 30 rooms at $139 (includes breakfast).

15 rooms have also been set aside at the Millennium Hotel for $119 (breakfast not included).

Participants should make their own bookings. In both cases the limit of the agreed discount ends by August 7.

Other hotel rooms may be booked as per individual choice.

Travel Support

Limited travel support may be available for those who do not have other sources of travel funds. When pre-registering, please indicate if travel support is essential, and (if so) approximately how much will be needed.


Mike Daniels (UCAR)
David Gallaher (NSIDC)
Matthew Mayernik (UCAR)
Steve Williams (UCAR)


For general enquiries, please contact Elizabeth.Griffin [at] in the first instance.

We look forward to seeing you in September!

Data Science Journal - Call for Papers (deadline extended)

The Data Science Journal is seeking papers for a special issue devoted advances in data modeling and knowledge representation. The deadline for submissions has been extended to April 29, 2016.

For more information about this special issue, topics of interest, and submission details please see:

If you have any questions or would like feedback on a potential submission please feel free to email the special edition editors at any time: Nic Weber (

CODATA International Training Workshop in Big Data for Science, Beijing, 4-17 July

Applications are invited from early career researchers as well as from research leaders and managers of research institutes from countries with developing or emerging economies to participate in the CODATA International Training Workshop in Big Data for Science, Beijing, 4-17 July 2016.  Participation for successful applicants will be financially supported, thanks to a grant from the Chinese Academy of Sciences (CAS).  The deadline for applications is 18 April 2016.

Science International Accord on Open Data in a Big Data WorldWorkshop Description

In today’s data-rich world, streams of digital data are being generated from science facilities and myriad sensors (telescopes, video cameras, traffic monitors, magnetic resonance imaging machines, and biological and chemical sensors monitoring the environment etc).  Combined with the increasing ability for large-scale storage, communication and analysis, the Data Revolution presents major opportunities for science.  The Science International Accord on ‘Open Data in a Big Data World’ highlights the most important issues to be addressed if these benefits are to be realized.  These include the Open Data imperative, the need to maintain the scientific self-correction and the ethical constraints which must be respected.  Equally important is the need for open global participation in the benefits of the Data Revolution.  Systemic capacity building and targeted training in Big Data and data science are essential if this is to be achieved in countries with emerging or developing economies.

Building data science capacity in countries with developing and emerging economies (in part through promoting technical training in data science, in data management and in the implications of Big Data for science) is an important part of CODATA’s strategy.

The training program offered aims to engage participants with a number of facets of data science and data management in the Big Data age.  Topics include, but are not limited to, interdisciplinary applications of open research data, data intensive research, data management policies, cloud computing, visualization, analytics and data infrastructure development in the Big Data Age.  Through a mix of theoretical study, workshop and practical sessions as well as field visits, the organizers aim to help participants develop a deeper expertise in the latest Big Data technologies for scientific discovery.

The CODATA International Training Workshop in Big Data for Science shares the objectives and much of the content of the CODATA-RDA Research Data Science Summer Schools and is partnering with that initiative.  Applications are invited from 1) early career researchers with an interest in data science, and 2) research leaders and managers of research organisations who are interested in putting on a similar short course at their home institution or with partners in their country.

Professor Li Jianhui, Secretary General of CODATA China and CODATA Executive Committee Member gives at class during the 2014 Edition of the CODATA China Training CourseA number of activities will be organized involving elite Chinese scientists, in order to promote knowledge sharing and to develop opportunities for future exchanges and collaboration.  Participants will benefit also from visits to a number of leading research institutes of the Chinese Academy of Sciences (CAS).  In these visits, participants will have the opportunity to learn from the scientific approach, management expertise, knowledge development and practical application that characterize activities at CAS institutes working at the frontiers of research.  Furthermore, the program will promote interaction and exchange of knowledge between experts and participants and among participants who will benefit greatly from exchanges with colleagues for a variety of academic and national backgrounds.

On 7-8 July, the International Society for Digital Earth is convening the 6th Digital Earth Summit, a major event involving many international experts and in which CODATA is playing an important role.  Participants in the training workshop will also benefit from participation in the Digital Earth Summit.

Application Procedure and Deadline

Applications should be completed on the designated form, providing all the requested information and an academic CV. Completed applications should be submitted to both the addresses below by the deadline of 23.59 UTC on 18 April 2016:

Dr. Simon Hodson, Executive Director, CODATA: simon [at]

Ms. LI Chang, CODATA-China Secretariat: lichang [at]

Further Information

TWO WEEKS TO GO! Call for Nominations for CODATA Officers and Executive Committee Members: Deadline 1 April 2016

Help CODATA deliver on its strategy to mobilise the data revolution for research!

The CODATA strategy comprises three elements: promoting open data principles, policy and practices; advancing the frontiers of data science and building data capacity, particularly in LMICs.

A key element of CODATA’s activity is to support and promote the Science International Accord on Open Data in a Big Data World.

The Call is now open for nominations for CODATA Officers and Executive Committee Members to be elected at the next CODATA General Assembly, 11 September 2016 in Denver, CO., USA, at the beginning of International Data Week.

Please find attached a letter from CODATA Past President, Professor GUO Huadong inviting nominations for role of Secretary General, Treasurer and eight ordinary Executive Committee members. Nominations should be submitted by CODATA Members or Task Groups and Working Groups on the form attached, to the Nominating Committee, c/o, by the deadline of 1 April 2016.

The most important criteria for nomination is to be able to contribute strongly to the delivery of CODATA’s strategy. The covering note to the nomination form and the procedure document explain terms of eligibility.

Last Chance to Register: Workshop on Comparing Approaches to Curriculum Development for Research Data Handling, 25 February, Amsterdam

Learn about and contribute to current initiatives to establish curricula, skills and competences frameworks and practical training programmes for research data skills, data science, data handling, data management etc!

Come to a free workshop at the International Digital Curation Conference convened by EDISON and groups sponsored by CODATA and the Research Data Alliance: Thursday 25 February, Amsterdam!

Last chance to register! Workshop registration will close on Friday 12 February. Please register at Workshop registration will close on Friday 12 February. Please register here.

More information on the workshop is below and at

Contemporary research – particularly when addressing the most significant, trans-disciplinary research challenges – cannot effectively be done without a range of skills relating to data. Prominent among the challenges of the data revolution, therefore, is that of developing skills and competences required to optimise the use of the new data resources.

A number of initiatives are developing approaches to determine the content requirements for courses designed to address the need for a variety of data related skills in research. These initiatives include the EDISON Project, the CODATA-RDA Research Data Science Summer Schools Working Group and the RDA Interest Group on Education and Training on Handling of Research Data.

This workshop brings together these initiatives and other activities to discuss current approaches to determining optimal content for courses developing a range of data skills for different roles involved in contemporary data-intensive research. This includes the skills needed by researchers themselves and by support roles.

The workshop will compare and contrast the frameworks, checklists and methods being developed and will seek to identify means of aligning these as much as possible. To achieve this, the full day workshop will include sessions to share material and approaches and practical activities to advance the development of curriculum frameworks. The practical activities will include detailed group work on the substantive content of the frameworks with the objective of aligning and validating these to the greatest degree possible.

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