23 Research Data Things Research Data Coordinator Katina
- Slides: 57
23 Research Data Things Research Data Coordinator Katina Toufexis
Overview How do I access the 23 Things? • ands. org. au/23 -things How often do I need to do a Thing? • • 1 Thing is released each week Complete at your own pace UWA participation • • Monthly catch-ups in BJM which include a national ANDS webinar Discussions in our Google + UWA-only group
Calendar of Events
Week Mon 1 - Getting started with data 2 - Issues in research data management 3 - Data in the research lifecycle Easter Week 7 14 21 28 4 - Repositories for data discovery 4 11 5 - Repositories for data sharing 6 - Long-lived data: curation & preservation 7 - Data citation for access & attribution 8 - Citation metrics for data 9 - Licensing data for reuse 18 25 2 May 9 16 23 10 - Sharing sensitive data 11 - What's my schema? 12 - Vocabularies for data description 13 - Walk the crosswalk 14 - Identifiers and linked data 30 6 13 20 27 Tue 1 March Kick-off Webinar 8 15 22 29 Wed Thu Fri 2 3 4 9 16 23 30 10 17 24 31 11 18 25 1 April 6 13 7 14 8 15 20 27 4 11 18 25 21 28 5 12 19 26 22 29 6 13 20 27 1 June 8 15 22 29 2 9 16 23 30 3 10 17 24 1 July 4 11 5 12 Webinar Catch-up 19 26 3 10 17 24 Webinar Catch-up 31 7 14 21 28 Webinar Catch-up 5 12 6 13 7 14 8 15 15 - Data management plans 16 - What are publishers & funders saying about data? 18 25 19 26 20 27 21 28 22 29 1 August 3 4 5 17 - Data literacy & outreach 18 - Data interviews: talk the talk 19 - Exploring APIs and Apps 20 - Do it with data! 8 15 22 29 5 10 17 24 31 7 11 18 25 1 September 8 12 19 26 2 9 12 2 Webinar Catch-up 9 16 23 30 6 Webinar Catch-up 13 14 15 16 21 - Tools of the trade 22 - What's in a name? 23 - Making connections 19 26 3 October 10 20 27 4 11 21 28 5 12 22 29 6 13 23 30 7 14 17 18 Webinar Catch-up 19 20 21
Calendar of Events Catch-up webinars and topic review at BJM each month in 2016 • • 1 March 12 April 24 May 28 June 2 August 6 September 18 October
ANDS Website
ANDS Meetup site
UWA-only Discussion Group Invitations have been sent out
Thing 1 Getting started with research data • What "research data" are we talking about?
Thing 1 • Open up this record of research data collected during a CSIRO voyage which explored the sea floor (i. e. Benthic zone) of the Marmion Lagoon, located just off Perth, in 2007
Thing 1 • Click on Data tab
Thing 1 • Protein Data Bank
Thing 1 • your favourite research data tech or software story or experience (eg did you compete in Gov. Hack 2015? or Science Hackfest Melbourne 4 -6 March 2016? ) • a software tool or service for research data you think others might be interested in • a question or research data problem to crowdsource a solution
Thing 1
Thing 1
Thing 2 Issues in research data management Research data is for everyone. Governments and universities all around Australia and the world are now encouraging researchers to better manage their data so others can use it. Research data might be critical to solving the big questions of our time, but so much data are being lost or poorly managed.
Thing 2 Issues in research data management • https: //www. yout ube. com/watch? v=66 o. Nv_DJu. Pc • As you watch the cartoon note the data management mistakes which interest or appal you.
Thing 2 Issues in research data management "Big Data" is a term we're hearing with increasing frequency. Data management for Big Data brings much complexity - citing dynamic data, software, high volume compute, storage costs, transfer of petabytes of data, preservation, provenance, more. • Read this post and presentation titled: "Big Data: The 5 Vs Everyone Must Know.
Thing 2 Issues in research data management
Thing 2 Issues in research data management
Thing 2 Issues in research data management
Thing 2 Issues in research data management
Thing 2 Issues in research data management
Thing 2 Issues in research data management
Thing 2 Issues in research data management
Thing 3
Thing 2 Issues in research data management • Laboratory Notebooks are used by researchers to formally record their research activities. As research has become increasingly digital and collaborative the utility of traditional hard copy Lab Notebooks has been challenged. Not surprisingly then, e. Lab Notebooks (ELN) have emerged as an alternative. • Effective data management for constantly updated data, such as that within ELNs, is a real challenge for projects who wish to publish their data during the project.
Thing 2 Issues in research data management • Definition Electronic lab notebook (ELN) software allows scientists to access, search and share results of their experiments. An ELN is essentially a computer program that is meant to replace traditional paper laboratory notebooks so that scientists and researchers can search their records more easily and have more efficient means to backup and copy their data onto other electronic devices. ELNs encourage collaboration, as it is possible for multiple researchers or scientists to view lab data at the same time. ELNs also have the capacity to work alongside other research instruments so that additional data can be incorporated quickly and efficiently. ELNs should be supported by strong security measures to ensure that the data and the researchers’ process of creating the data are not jeopardized in any way. Additionally ELNs should be flexible to change if a particular research process is altered or new data is required. This flexibility is best addressed when developing the specific software for an ELN.
Thing 2 Issues in research data management • International team of scientists open sources search for malaria cure about how an international team of scientists and citizen scientists are using open source ELNs to speed up a cure for malaria.
Thing 2 Issues in research data management • You can see their open ELNs here
Thing 2 Issues in research data management • You can see their open ELNs here
Thing 2 Issues in research data management http: //www. wellcome. ac. uk/News/Media-office/Press-releases/2016/WTP 060169. htm
Thing 3 Data in the research lifecycle • Data and its management change over time. Here we look at data and research lifecycles and make connections between them. • Data often have a longer lifespan the research project that creates them. • Follow-up projects may analyse or add to the data, and data may be reused by other researchers. • Journals publishers are increasingly mandating that the data underpinning a journal article be retained and made accessible for the long term.
Thing 3 Data in the research lifecycle • A data lifecycle shows the different phases a dataset goes through as the research project moves from o "having a brilliant idea" to o "making ground breaking discoveries" to o "telling the world about it" http: //www. data-archive. ac. uk/createmanage/life-cycle
Thing 3 Data in the research lifecycle • A data lifecycle shows the different phases a dataset goes through as the research project moves from o "having a brilliant idea" to o "making ground breaking discoveries" to o "telling the world about it" http: //www. data-archive. ac. uk/createmanage/life-cycle
Thing 3 Data in the research lifecycle • A data lifecycle shows the different phases a dataset goes through as the research project moves from o "having a brilliant idea" to o "making ground breaking discoveries" to o "telling the world about it" http: //www. data-archive. ac. uk/createmanage/life-cycle
Thing 3 Data in the research lifecycle • A data lifecycle shows the different phases a dataset goes through as the research project moves from o "having a brilliant idea" to o "making ground breaking discoveries" to o "telling the world about it" http: //www. data-archive. ac. uk/createmanage/life-cycle
Thing 3 Data in the research lifecycle • A data lifecycle shows the different phases a dataset goes through as the research project moves from o "having a brilliant idea" to o "making ground breaking discoveries" to o "telling the world about it" http: //www. data-archive. ac. uk/createmanage/life-cycle
Thing 3 Data in the research lifecycle • A data lifecycle shows the different phases a dataset goes through as the research project moves from o "having a brilliant idea" to o "making ground breaking discoveries" to o "telling the world about it" http: //www. data-archive. ac. uk/createmanage/life-cycle
Thing 3 Data in the research lifecycle • A data lifecycle shows the different phases a dataset goes through as the research project moves from o "having a brilliant idea" to o "making ground breaking discoveries" to o "telling the world about it"
Thing 3 Data in the research lifecycle • Digital Curation Centre • Take a look at the DCC Curation Lifecycle Model which concentrates of preservation and curation within data management. http: //www. dcc. ac. uk/resources/curation-lifecycle-model
Thing 3 Data in the research lifecycle • What could we add? ? ? http: //www. dcc. ac. uk/resources/curation-lifecycle-model
Thing 3 Data in the research lifecycle http: //www. dcc. ac. uk/resources/curation-lifecycle-model
Thing 3 Data in the research lifecycle
Thing 3 Data in the research lifecycle http: //www. library. uwa. edu. au/research/services
Thing 4 Data Discovery • Repositories enable discovery of data by publishing data descriptions ("metadata") about the data they hold - like a library catalogue describes the materials held in a library. • Most repositories provide access to the data itself, but not always.
Thing 4 Data Discovery • Data portals or aggregators draw together research data records from a number of repositories. • eg Research Data Australia (RDA) aggregates records from over 100 Australian research repositories. • https: //researchdata. ands. org. au/measuring-effects-human-leptonychotesweddellii/640511/
Thing 4 Data Discovery
Thing 4 Data Discovery
Thing 4 Data Discovery
Thing 4 Data Discovery
Thing 4 Data Discovery • What data repositories exist and how are Australian researchers sharing their data? • Start by going to re 3 data. org
Thing 4 Data Discovery • There are 61 repositories listed for Australia.
Thing 4 Data Discovery • There are 61 repositories listed for Australia.
Thing 4 Data Discovery What makes a "good" data repository?
Thing 4 Data Discovery DCC checklist for evaluating data repositories What does this checklist cover and what does it exclude? Choosing a long-term service to look after data means asking questions similar to those you ask when choosing a publisher; ‘if I hand this over, will they review it, safeguard the content, and make sure it is accessible for as long as it is of value? ’ This checklist relates these questions to the following key considerations: 1. Is a reputable repository available? 2. Will it take the data you want to deposit? 3. Will it be safe in legal terms? 4. Will the repository sustain the data value? 5. Will it support analysis and track data usage? See more at: http: //www. dcc. ac. uk/resources/how-guides-checklists/where-keepresearch-data#1
Contacts Contact UWA 23 Things Coordinators: Caroline Clark caroline. clark@uwa. edu. au Nola Steiner nola. steiner@uwa. edu. au Katina Toufexis katina. toufexis@uwa. edu. au
