The big 3-0-0-0: DataShare reaches three thousand datasets

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Confetti banner says "3,000th deposit!!!" 2021-08-02

Timestamp showing the accession of the deposit on the 2nd of August.

We’re thrilled Edinburgh DataShare has just ingested its 3,000th deposit:

Davey, Thomas; Draycott, Samuel; Pillai, Ajit; Gabl, Roman; Jordan, Laura-Beth. (2021). Wave buoy in current – experimental data, [dataset]. University of Edinburgh. School of Engineering. Institute for Energy Systems. FloWave Ocean Energy Research Facility. https://doi.org/10.7488/ds/3105.

The depositor was Dr Tom Davey, Senior Experimental Officer in the School of Engineering, who said:

“It is a pleasure for us all in FloWave to see one of our datasets achieve this milestone for Edinburgh DataShare. This is also the tenth DataShare upload making use of experimental outputs from the FloWave Ocean Energy Research Facility. Providing a reliable and accessible repository of our project outputs is not only important for our funders, but also promotes new research collaborations and builds lasting impact for our experimental programmes. This particular project will aid in the understanding measuring wave and currents at deployment sites for offshore renewable energy technologies, and adds to the existing FloWave portfolio of datasets in the field of wave energy, tidal energy, advanced measurement, and remote operated vehicles.”

You can explore more data generated at FloWave in the IES DataShare Collection:

Collection – The Institute for Energy Systems (IES) (ed.ac.uk)

Although the ‘wave buoy in current’ dataset is under temporary embargo, currently set to expire on the 5th of September, it is possible to request the data using DataShare’s request-a-copy feature in the meanwhile. Embargoes may be extended, or lifted early, usually reflecting publication dates.

You might also enjoy this hilarious and very popular video about FloWave:

 

Pauline Ward

Research Data Support Assistant

Library & University Collections

University of Edinburgh

Dealing with Data 2019- Call for Contributions *Deadline Extended*

*We have had several requests for an extension to the submission deadline, so, we have decided to extend it until 12 noon on Friday 11th October!*

Dealing with Data 2019 will take place on the 27th of November in the Informatics Forum. This year our theme is “Collaboration Across the Nations: Managing, sharing and securing research data across space and time” and we are now inviting contributions from research staff and students at the University of Edinburgh.

In previous years DwD has attracted over 100 attendees from across the university to hear contributions by research staff and students at all stages of their careers and from diverse disciplines. You can view the presentations from 2017 & 2018 now on MediaHopper (https://media.ed.ac.uk/channel/Dealing+With+Data+2017+Conference/82256222)

The full Call for Contributions is below. If you have any questions please get in touch using on dealing-with-data-conference@mlist.is.ed.ac.uk

Dealing with Data Conference 2019 – Call for Contributions

Date:                     Wednesday 27th November 2019

Location:             Informatics Forum, George Square, Central Area

Theme:                Collaboration Across the Nations: Managing, sharing and securing research data across space and time

Possible Contributions: Presentation; Lightning talk; Poster; Demonstration of a tool or method supporting collaboration; Stall or exhibit, panel.

Call for contributions:

Collaboration is vitally important to academic and commercial research in all areas as it enables the pooling of resources to answer increasingly complex, or interdisciplinary research questions.

The effective collection, processing, and sharing of research data is integral to successful collaborations, but it can also present many challenges. In particular the practicalities of co-ordinating data management across large multi-centre collaborations, sharing large data, or handling sensitive data, can present difficulties if not planned for appropriately.

Dealing with Data 2019 is your opportunity to share with the UoE research community how you have addressed these issues to build successful collaborations, or the lessons you have learned which will enable you to be more successful in the future.

Contributions should be aimed principally at an academic audience, but the programme will seek to represent a wide range of scholarly disciplines.

Possible themes may include (but are by no means limited to):

  • Data sharing within research groups or labs;
  • Challenges of data sharing across the University or with external partners;
  • Managing and securing sensitive data across distributed research projects;
  • Interdisciplinary issues;
  • Tools for enabling or simplifying collaborative data collection, management or analysis;
  • Data sharing at scale;
  • Interoperability of (meta)data;
  • Legal and licensing issues;
  • Credit and contributions for data use and reuse, including after a project has ended.

For all contributions please send an abstract detailing the content and proposed format (maximum 500 words) to dealing-with-data-conference@mlist.is.ed.ac.uk by Friday 11th october.  Posters should be A0 in size, portrait orientation.

Proposals will be reviewed, and the event programme announced by Friday 25th October 2019.

Dealing with Data is an annual event sponsored and organised by the Research Data Service to provide a forum for University of Edinburgh researchers to discuss how they are benefiting from, or experiencing struggles with, the fast-changing research data environment.

Kerry Miller

Research Data Support Officer

New training: Assessing Data Quality and Disclosure Risk in Numeric Data

The Research Data Service, in collaboration with the UK Data Service, are running workshops on the theme ‘Assessing Data Quality and Disclosure Risk in Numeric Data’. These hands-on sessions introduce the key elements of data quality and disclosure risk, and include practical demonstrations of two tools to evaluate the quality (QAMyData) and disclosure risk (sdcMicro) of numeric research data.

Workshops will run across two days, with sessions on different days for researchers interested in social survey data (10th June) and health data (11th June).

Session 1: Assessing Data Quality in Numeric Data

This workshop will introduce the key elements of data quality assessment, including file checks, and undertaking data and metadata checks. Attendees will gain hands-on experience using QAMyData, a purpose-built configurable tool to quickly and automatically detect some of the most common problems in survey and other numeric data (SPSS, STATA, SAS & csv files).

Session 2: Assessing Disclosure Risk in Numeric Data

This workshop will provide an introduction to statistical disclosure control (SDC), covering: types of Identifiers; de-identification and anonymization; types of disclosure; SDC approaches; k-anonymity and l-diversity. The workshop introduces sdcMicro, a practical R package for measuring disclosure risk in numeric data. The session will give attendees hands-on experience using sdcMicro to assess disclosure risk and apply SDC methods to anonymize numeric data, while evaluating the balance between disclosure risk and data loss.

These sessions are available to research staff and students and can be booked using the links below:

Assessing Data Quality in Numeric Data (Social Survey Data) –                                      10th June 0930-1200, Lister Learning and Teaching Centre, Room 1.16 (Central Area)  https://www.events.ed.ac.uk/index.cfm?event=book&scheduleID=34939

Assessing Disclosure Risk in Numeric Data (Social Survey Data) –                                10th June 1330-1700, Lister Learning and Teaching Centre, Room 1.16 (Central Area) https://www.events.ed.ac.uk/index.cfm?event=book&scheduleID=34941

Assessing Data Quality in Numeric Data (Health Data) –                                                  11th June 0930-1230, Microlab 1, Chancellor’s Building (Little France) https://www.events.ed.ac.uk/index.cfm?event=book&scheduleID=34940

Assessing Disclosure Risk in Numeric Data (Health Data) –                                            11th June 1300-1700, Microlab 1, Chancellor’s Building (Little France)                                 https://www.events.ed.ac.uk/index.cfm?event=book&scheduleID=34942

Bob Sanders
Research Data Support
Library & University Collections

Research Data Workshop Series 2019

Over the spring of 2019 the Research Data Service (RDS) is holding a series of workshops with the aim of gathering feedback and requirements from our researchers on a number of important Research Data topics.

Each workshop will consist of a small number of short presentations from researchers and research support staff who have experience of the topic. These will then be followed by guided discussions so that the RDS can gather your input on the tools we currently provide, the gaps in our services, and how you go about addressing the challenges and issues raised in the talks.
The workshops for 2019 are:

Electronic Notebooks 1
14th March at King’s Buildings (Fully Booked)

DataVault
1200-1400, 10th April at 6301 JCMB, King’s Buildings, Map
Booking Link – https://www.events.ed.ac.uk/index.cfm?event=book&scheduleID=34308
The DataVault was developed to offer UoE staff a long-term retention solution for research data collected by research projects that are at the completion stage. Each ‘Vault’ can contain multiple files associated with a research project that will be securely stored for an identified period, such as ten years. It is designed to fill in gaps left by existing research data services such as DataStore (active data storage platform) and DataShare (open access online data repository). The service enables you to comply with funder and University requirements to preserve research data for the long-term, and to confidently store your data for retrieval at a future date. This workshop is intended to gather the views of researchers and support staff in schools to explore the utility of the new service and discuss potential practicalities around its roll-out and long-term sustainability.

Sensitive Data Challenges and Solutions
1200-1430, 16th April in Seminar Room 2, Chancellors Building, Bioquarter, Map
Booking Link – https://www.events.ed.ac.uk/index.cfm?event=book&scheduleID=34321
Researchers face a number of technical, ethical and legal challenges in creating, analysing and managing research data, including pressure to increase transparency and conduct research openly. But for those who have collected or are re-using sensitive or confidential data, these challenges can be particularly taxing. Tools and services can help to alleviate some of the problems of using sensitive data in research. But cloud-based tools are not necessarily trustworthy, and services are not necessarily geared for highly sensitive data. Those that are may not be very user-friendly or efficient for researchers, and often restrict the types of analysis that can be done. Researchers attending this workshop will have the opportunity to hear from experienced researchers on related topics.

Electronic Notebooks 2
1200-1430, 9th May at Training & Skills Room, ECCI, Central Area, Map
Booking Link – https://www.events.ed.ac.uk/index.cfm?event=book&scheduleID=34287
Electronic Notebooks, both computational and lab-based, are gaining ground as productivity tools for researchers and their collaborators. Electronic notebooks can help facilitate reproducibility, longevity and controlled sharing of information. There are many different notebook options available, either commercially or free. Each application has different features and will have different advantages depending on researchers or lab’s requirements. Jupyter Notebook, RSpace, and Benchling are some of the platforms that are used at the University and all will be represented by researchers who use them on a daily basis.

Data, Software, Reproducibility and Open Research
Due to unforeseen circumstances this event has been postponed. We will update with the new event details as soon as they are confirmed.
In this workshop we will examine real-life use cases wherein datasets combine with software and/or notebooks to provide a richer, more reusable and long-lived record of Edinburgh’s research. We will also discuss user needs and wants, capturing requirements for future development of the University’s central research support infrastructure in line with (e.g.) the LERU Roadmap for Open Science, which the Library Research Support team has sought to map its existing and planned provision against, and domain-oriented Open Research strategies within the Colleges.

Kerry Miller
Research Data Support Officer
Library & University Collections