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Eleven tips for working with large data sets – Nature (Anna Nowogrodzki | January 2020)0

Posted by Admin in on January 22, 2020
 

Big data are difficult to handle. These tips and tricks can smooth the way.

Big data are everywhere in research, and the data sets are only getting bigger — and more challenging to work with. Unfortunately, says Tracy Teal, it’s a kind of labour that’s too often left out of scientific training.

“It’s a mindset,” says Teal, “treating data as a first-class citizen.” She should know: Teal was until last month the executive director of The Carpentries, an organization in Oakland, California, that teaches coding and data skills to researchers globally. She says there’s a tendency in the research community to dismiss the time and effort needed to manage and share data, and not to regard it as a real part of science. But, she suggests, “we can shift our mindset to valuing that work as a part of the research process”, rather than treating it as an afterthought.

Here are 11 tips for making the most of your large data sets.

Read the rest of this discussion piece

Disaster-zone research needs a code of conduct – Nature (JC Gaillard & Lori Peek | November 2019)0

Posted by Admin in on December 10, 2019
 

Study the effects of earthquakes, floods and other natural hazards with sensitivity to ethical dilemmas and power imbalances.

A magnitude-7.0 earthquake rocked Anchorage, Alaska, in late November 2018. Roads buckled and chimneys tumbled from rooftops. Business operations were disrupted. Schools were damaged across the district. This was the largest earthquake to shake the region in a generation, and there was much to learn. What was the state of the infrastructure? Might further quakes occur? How did people respond? Teams of scientists and engineers from across the United States mobilized to conduct field reconnaissance in partnership with local researchers and practitioners. These efforts were coordinated through the clearing house set up by the Earthquake Engineering Research Institute in Oakland, California, which provided daily in-person and online briefings, as well as a web portal for sharing data.

This discussion is especially relevant at the moment given the bushfires/megafires raging in Australia (and California) and the volcano eruption on White Island, New Zealand.  Our sincere best wishes and hopes to anyone affected by these awful disasters.

But researchers are not always so welcome in disaster zones. After the deadly Indian Ocean earthquake and tsunami on 26 December 2004, hundreds of academics from countries including Japan, Russia, France and the United States rushed to the region to collect perishable data. This influx of foreign scientists angered and fatigued some locals; many declined researchers’ requests for interviews. The former governor of Aceh province, Indonesia, where more than 128,000 people died, described foreign researchers as “guerrillas applying hit-and-run tactics”1. Yet research on tsunami propagation and people’s response to the event has led to improved warnings and emergency-response plans.
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When, on 28 September 2018, an earthquake and tsunami hit the Indonesian island of Sulawesi, dozens of researchers found themselves unable to enter the country2. Indonesian law now requires foreign scientists to obtain a special visa before they can begin research. Data-collection protocols must be submitted to the government in advance and projects must have an Indonesian partner. Violators could face criminal charges and even prison.
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Read the rest of this discussion piece

Data Management Expert Guide (Guidance: CESSDA | December 2017)0

Posted by Admin in on November 5, 2019
 

This guide is designed by European experts to help social science researchers make their research data Findable, Accessible, Interoperable and Reusable (FAIR).

You will be guided by different European experts who are – on a daily basis – busy ensuring long-term access to valuable social science datasets, available for discovery and reuse at one of the CESSDA social science data archives.

Target audience and mission
This guide is written for social science researchers who are in an early stage of practising research data management. With this guide, CESSDA wants to contribute to professionalism in data management and increase the value of research data.

Overview
If you follow the guide, you will travel through the research data lifecycle from planning, organising, documenting, processing, storing and protecting your data to sharing and publishing them. Taking the whole roundtrip will take you approximately 15 hours, however you can also hop on and off at any time.

CESSDA Training Working Group (2017 – 2018). CESSDA Data Management Expert Guide.
Bergen, Norway: CESSDA ERIC. Retrieved from https://www.cessda.eu/DMGuide

Management of Data and Information in Research (NHMRC An Australian Code (2018) good practice guide | June 2019)0

Posted by Admin in on September 29, 2019
 

A guide supporting the Australian Code for the Responsible Conduct of Research

aContents

1. Introduction 1

2. Responsibilities of institutions 1
2.1 Provision of training for researchers 2
..2.2 Ownership, stewardship and control of research data and primary materials 2
2.3 Storage, retention and disposal 3
2.4 Safety, security and confidentiality 3
2.5 Access by interested parties 4
2.6 Facilities 4

3. Responsibilities of researchers 4
3.1 Retention and publication 6
3.2 Managing confidential and other sensitive information 7
3.3 Acknowledging the use of others’ data 7
3.4 Engagement with relevant training 7

4. Breaches of the Code 7

Additional Resources 8

Access the good practice guide

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