FAIR Data - A is for accessible - Keith Russell 6 Sept 2017ARDC
This webinar covers:
--an overview of the accessible principles which underpin access and reuse of data
--resources to support institutional awareness and uptake of accessible principles
Full recording on YouTube: https://youtu.be/me27whU8GG8
Data Repositories: Recommendation, Certification and Models for Cost RecoveryAnita de Waard
Talk at NITRD Workshop "Measuring the Impact of Digital Repositories" February 28 – March 1, 2017 https://www.nitrd.gov/nitrdgroups/index.php?title=DigitalRepositories
#1 FINDABLE covers: -- an overview of the FAIR principles: their origins, Australian FAIR initiatives, what FAIR is (and what it is not) -- the 4 FINDABLE principles which underpin the discoverability of data -- resources to support institutional awareness and uptake of Findable principles to make your institutional data globally discoverable
Speakers
1) Keith Russell, ANDS, will introduce FAIR
2) Nick Thieberger, Director of Paradisec, will present how Paradisec has made their data findable via rich metadata, identifiers through Research Data Australia and disciplinary discovery portals.
YouTube : https://youtu.be/vn2pr2dGzCs
Transcript: https://www.slideshare.net/AustralianNationalDataService/transcript-1-fair-intro-into-fair-and-f-for-findable
Slides of my presentation at 9th Amirkabir Linux & Open-source Softwares Festival, about Big Data Computing Platforms and the rise of the so-called "Fast Data" phenomenon, and the architectures and state-of-the-art platforms for dealing with them.
FAIR Data - A is for accessible - Keith Russell 6 Sept 2017ARDC
This webinar covers:
--an overview of the accessible principles which underpin access and reuse of data
--resources to support institutional awareness and uptake of accessible principles
Full recording on YouTube: https://youtu.be/me27whU8GG8
Data Repositories: Recommendation, Certification and Models for Cost RecoveryAnita de Waard
Talk at NITRD Workshop "Measuring the Impact of Digital Repositories" February 28 – March 1, 2017 https://www.nitrd.gov/nitrdgroups/index.php?title=DigitalRepositories
#1 FINDABLE covers: -- an overview of the FAIR principles: their origins, Australian FAIR initiatives, what FAIR is (and what it is not) -- the 4 FINDABLE principles which underpin the discoverability of data -- resources to support institutional awareness and uptake of Findable principles to make your institutional data globally discoverable
Speakers
1) Keith Russell, ANDS, will introduce FAIR
2) Nick Thieberger, Director of Paradisec, will present how Paradisec has made their data findable via rich metadata, identifiers through Research Data Australia and disciplinary discovery portals.
YouTube : https://youtu.be/vn2pr2dGzCs
Transcript: https://www.slideshare.net/AustralianNationalDataService/transcript-1-fair-intro-into-fair-and-f-for-findable
Slides of my presentation at 9th Amirkabir Linux & Open-source Softwares Festival, about Big Data Computing Platforms and the rise of the so-called "Fast Data" phenomenon, and the architectures and state-of-the-art platforms for dealing with them.
Linking Scientific Metadata (presented at DC2010)Jian Qin
Linked entity data in metadata records builds a foundation for semantic web. Even though metadata records contain rich entity data, there is no linking between associated entities such as persons, datasets, projects, publications, or organizations. We conducted a small experiment using the dataset collection from the Hubbard Brook Ecosystem Study (HBES), in which we converted the entities and their relationships into RDF triples and linked the URIs contained in RDF triples to the corresponding entities in the Ecological Metadata Language (EML) records. Through the transformation program written in XML Stylesheet Language (XSL), we turned a plain EML record display into an interlinked semantic web of ecological datasets. The experiment suggests a methodological feasibility in incorporating linked entity data into metadata records. The paper also argues for the need of changing the scientific as well as general metadata paradigm.
Funders and publishers have something in common: for better or worse, we have the ability to influence the behavior of researchers. This talk will focus on what both groups can do to improve research now and in the future.
Briefing on US EPA Open Data Strategy using a Linked Data Approach3 Round Stones
An overview presented by Ms. Bernadette Hyland on 18-Nov 2014 on the US EPA Open Data strategy, focusing on the Resource Conservation & Recovery Act (RCRA) dataset to be published as linked data . This work is in support of Presidential Memorandum M13-13 - Open Data Policy and Managing Information as an Asset.
Publishing of Scientific Data - Science Foundation Ireland Summit 2010jodischneider
Slides prepared for the Publishing of Scientific Data workshop at the Science Foundation Ireland Summit 2010. I was one of three panelists. We had a lively discussion!
AHM 2014: OceanLink, Smart Data versus Smart Applications EarthCube
Presentation given by Krysztof Janowicz and Pascal Hitzler in the afternoon Architecture Forum Session on Day 1, June 24, at the EarthCube All-Hands Meeting.
This is module 2 in the EDI Data Publishing training course. In this module, you will learn about the Environmental Data Initiative, the project that created these trainings. EDI operates the EDI Data Repository and has curators on staff to help scientists deposit their data.
INTEROPERABLE covers: -- an overview of the 3 INTEROPERABLE principles which use vocabularies for knowledge representation, standardisation and references other metadata. -- resources to support institutional awareness and uptake of Interoperable principles
Full webinar recording on YouTube: https://youtu.be/MeFl9WrtG20
Transcript: https://www.slideshare.net/AustralianNationalDataService/transcript-fair-3-iforinteroperable13917
Linking Scientific Metadata (presented at DC2010)Jian Qin
Linked entity data in metadata records builds a foundation for semantic web. Even though metadata records contain rich entity data, there is no linking between associated entities such as persons, datasets, projects, publications, or organizations. We conducted a small experiment using the dataset collection from the Hubbard Brook Ecosystem Study (HBES), in which we converted the entities and their relationships into RDF triples and linked the URIs contained in RDF triples to the corresponding entities in the Ecological Metadata Language (EML) records. Through the transformation program written in XML Stylesheet Language (XSL), we turned a plain EML record display into an interlinked semantic web of ecological datasets. The experiment suggests a methodological feasibility in incorporating linked entity data into metadata records. The paper also argues for the need of changing the scientific as well as general metadata paradigm.
Funders and publishers have something in common: for better or worse, we have the ability to influence the behavior of researchers. This talk will focus on what both groups can do to improve research now and in the future.
Briefing on US EPA Open Data Strategy using a Linked Data Approach3 Round Stones
An overview presented by Ms. Bernadette Hyland on 18-Nov 2014 on the US EPA Open Data strategy, focusing on the Resource Conservation & Recovery Act (RCRA) dataset to be published as linked data . This work is in support of Presidential Memorandum M13-13 - Open Data Policy and Managing Information as an Asset.
Publishing of Scientific Data - Science Foundation Ireland Summit 2010jodischneider
Slides prepared for the Publishing of Scientific Data workshop at the Science Foundation Ireland Summit 2010. I was one of three panelists. We had a lively discussion!
AHM 2014: OceanLink, Smart Data versus Smart Applications EarthCube
Presentation given by Krysztof Janowicz and Pascal Hitzler in the afternoon Architecture Forum Session on Day 1, June 24, at the EarthCube All-Hands Meeting.
This is module 2 in the EDI Data Publishing training course. In this module, you will learn about the Environmental Data Initiative, the project that created these trainings. EDI operates the EDI Data Repository and has curators on staff to help scientists deposit their data.
INTEROPERABLE covers: -- an overview of the 3 INTEROPERABLE principles which use vocabularies for knowledge representation, standardisation and references other metadata. -- resources to support institutional awareness and uptake of Interoperable principles
Full webinar recording on YouTube: https://youtu.be/MeFl9WrtG20
Transcript: https://www.slideshare.net/AustralianNationalDataService/transcript-fair-3-iforinteroperable13917
Με αφορμή την Υποψηφιότητα του αρχαιολογικού χώρου των Φιλίππων στα Μνημεία Παγκόσμιας Πολιτιστικής Κληρονομιάς της ΟΥΝΕΣΚΟ, τη φετινή χρονιά, στο μάθημα των Ερευνητικών Εργασιών, προσπαθήσαμε να καταλάβουμε τι είναι η ΟΥΝΕΣΚΟ και τη σημασία που θα είχε για το μνημείο αλλά και για την περιοχή μας, η ένταξη των Φιλίππων στα μνημεία της ΟΥΝΕΣΚΟ. Έτσι επιλέξαμε να αναφερθούμε επιγραμματικά σε κάποια από αυτά.
Open Data in a Big Data World: easy to say, but hard to do?LEARN Project
Presentation at 3rd LEARN workshop on Research Data Management, “Make research data management policies work”
Helsinki, 28 June 2016, by Sarah Callaghan, STFC Rutherford Appleton Laboratory
Disciplinary and institutional perspectives on digital curationMichael Day
Slides from a presentation jointly given by Alexander Ball and Michael Day of UKOLN in a panel session on Scientific Data Curation at the DigCCurr 2009 Conference, Chapel Hill, NC, USA, 2 April 2009
Beyond Preservation: Situating Archaeological Data in Professional PracticeEric Kansa
I presented this lecture at the German Archaeological Institute (DAI) in Berlin on Nov. 6, 2014 (see: http://www.dainst.org/termin/-/event-display/ogNX4Gtxkd87/342513)
The lecture focuses on how archaeological data fits in professional practice. It looks at scholarly communications, government policies toward the sciences and humanities, and professional reward structures.
The lecture then shows examples of how Open Context publishes archeological data, including editorial processes to promote data quality and relate contributed data to the 'Web of Data' using Linked Open Data methods. Research applications of Open Context and linked archaeological data include the Digital Index of North American Archaeology (DINAA) project (see: http://ux.opencontext.org/blog/archaeology-site-data/) and a data integration study exploring the development and dispersal of animal husbandry economies in Epipaleolithic - Chalcolithic Anatolia (see: http://dx.doi.org/10.1371/journal.pone.0099845)
The lecture concludes with how archaeologists need to invest more intellectually in the method and theory of modeling and creating data. It also looks at how concepts and expectations of publishing static artifacts need to be revised (using techniques like version control) to enable continued and more transparent revision of data to fix problems, implement new standards, and meet new research goals.
About the Webinar
Big data is being collected at a rate that is surpassing traditional analytical methods due to the constantly expanding ways in which data can be created and mined. Faculty in all disciplines are increasingly creating and/or incorporating big data into their research and institutions are creating repositories and other tools to manage it all. There are many challenge to effectively manage and curate this data—challenges that are both similar and different to managing document archives. Libraries can and are assuming a key role in making this information more useful, visible, and accessible, such as creating taxonomies, designing metadata schemes, and systematizing retrieval methods.
Our panelists will talk about their experience with big data curation, best practices for research data management, and the tools used by libraries as they take on this evolving role.
Supplementary presentation slides from a lecture on digital preservation given at the University of the West of England (UWE) as part of the MSc in Library and Library Management, University of the West of England, Frenchay Campus, Bristol, March 10, 2010
Sediment Experimentalist Network (SEN): Sharing and reusing methods and data ...hsuleslie
Presentation given to the Summer Institute for Earth Surface Dynamics (SIESD) 2014 at St. Anthony Falls Laboratory, University of Minnesota, about the Sediment Experimentalist Network (SEN). SEN is an EarthCube Research Coordination Network, whose goal is to integrate the efforts of sediment experimentalists and build a knowledge base for guidance on best practices for data collection and management.
Scott Edmunds slides for class 8 from the HKU Data Curation (module MLIM7350 from the Faculty of Education) course covering science data, medical data and ethics, and the FAIR data principles.
Honest Reviews of Tim Han LMA Course Program.pptxtimhan337
Personal development courses are widely available today, with each one promising life-changing outcomes. Tim Han’s Life Mastery Achievers (LMA) Course has drawn a lot of interest. In addition to offering my frank assessment of Success Insider’s LMA Course, this piece examines the course’s effects via a variety of Tim Han LMA course reviews and Success Insider comments.
Embracing GenAI - A Strategic ImperativePeter Windle
Artificial Intelligence (AI) technologies such as Generative AI, Image Generators and Large Language Models have had a dramatic impact on teaching, learning and assessment over the past 18 months. The most immediate threat AI posed was to Academic Integrity with Higher Education Institutes (HEIs) focusing their efforts on combating the use of GenAI in assessment. Guidelines were developed for staff and students, policies put in place too. Innovative educators have forged paths in the use of Generative AI for teaching, learning and assessments leading to pockets of transformation springing up across HEIs, often with little or no top-down guidance, support or direction.
This Gasta posits a strategic approach to integrating AI into HEIs to prepare staff, students and the curriculum for an evolving world and workplace. We will highlight the advantages of working with these technologies beyond the realm of teaching, learning and assessment by considering prompt engineering skills, industry impact, curriculum changes, and the need for staff upskilling. In contrast, not engaging strategically with Generative AI poses risks, including falling behind peers, missed opportunities and failing to ensure our graduates remain employable. The rapid evolution of AI technologies necessitates a proactive and strategic approach if we are to remain relevant.
2024.06.01 Introducing a competency framework for languag learning materials ...Sandy Millin
http://sandymillin.wordpress.com/iateflwebinar2024
Published classroom materials form the basis of syllabuses, drive teacher professional development, and have a potentially huge influence on learners, teachers and education systems. All teachers also create their own materials, whether a few sentences on a blackboard, a highly-structured fully-realised online course, or anything in between. Despite this, the knowledge and skills needed to create effective language learning materials are rarely part of teacher training, and are mostly learnt by trial and error.
Knowledge and skills frameworks, generally called competency frameworks, for ELT teachers, trainers and managers have existed for a few years now. However, until I created one for my MA dissertation, there wasn’t one drawing together what we need to know and do to be able to effectively produce language learning materials.
This webinar will introduce you to my framework, highlighting the key competencies I identified from my research. It will also show how anybody involved in language teaching (any language, not just English!), teacher training, managing schools or developing language learning materials can benefit from using the framework.
June 3, 2024 Anti-Semitism Letter Sent to MIT President Kornbluth and MIT Cor...Levi Shapiro
Letter from the Congress of the United States regarding Anti-Semitism sent June 3rd to MIT President Sally Kornbluth, MIT Corp Chair, Mark Gorenberg
Dear Dr. Kornbluth and Mr. Gorenberg,
The US House of Representatives is deeply concerned by ongoing and pervasive acts of antisemitic
harassment and intimidation at the Massachusetts Institute of Technology (MIT). Failing to act decisively to ensure a safe learning environment for all students would be a grave dereliction of your responsibilities as President of MIT and Chair of the MIT Corporation.
This Congress will not stand idly by and allow an environment hostile to Jewish students to persist. The House believes that your institution is in violation of Title VI of the Civil Rights Act, and the inability or
unwillingness to rectify this violation through action requires accountability.
Postsecondary education is a unique opportunity for students to learn and have their ideas and beliefs challenged. However, universities receiving hundreds of millions of federal funds annually have denied
students that opportunity and have been hijacked to become venues for the promotion of terrorism, antisemitic harassment and intimidation, unlawful encampments, and in some cases, assaults and riots.
The House of Representatives will not countenance the use of federal funds to indoctrinate students into hateful, antisemitic, anti-American supporters of terrorism. Investigations into campus antisemitism by the Committee on Education and the Workforce and the Committee on Ways and Means have been expanded into a Congress-wide probe across all relevant jurisdictions to address this national crisis. The undersigned Committees will conduct oversight into the use of federal funds at MIT and its learning environment under authorities granted to each Committee.
• The Committee on Education and the Workforce has been investigating your institution since December 7, 2023. The Committee has broad jurisdiction over postsecondary education, including its compliance with Title VI of the Civil Rights Act, campus safety concerns over disruptions to the learning environment, and the awarding of federal student aid under the Higher Education Act.
• The Committee on Oversight and Accountability is investigating the sources of funding and other support flowing to groups espousing pro-Hamas propaganda and engaged in antisemitic harassment and intimidation of students. The Committee on Oversight and Accountability is the principal oversight committee of the US House of Representatives and has broad authority to investigate “any matter” at “any time” under House Rule X.
• The Committee on Ways and Means has been investigating several universities since November 15, 2023, when the Committee held a hearing entitled From Ivory Towers to Dark Corners: Investigating the Nexus Between Antisemitism, Tax-Exempt Universities, and Terror Financing. The Committee followed the hearing with letters to those institutions on January 10, 202
How to Make a Field invisible in Odoo 17Celine George
It is possible to hide or invisible some fields in odoo. Commonly using “invisible” attribute in the field definition to invisible the fields. This slide will show how to make a field invisible in odoo 17.
Operation “Blue Star” is the only event in the history of Independent India where the state went into war with its own people. Even after about 40 years it is not clear if it was culmination of states anger over people of the region, a political game of power or start of dictatorial chapter in the democratic setup.
The people of Punjab felt alienated from main stream due to denial of their just demands during a long democratic struggle since independence. As it happen all over the word, it led to militant struggle with great loss of lives of military, police and civilian personnel. Killing of Indira Gandhi and massacre of innocent Sikhs in Delhi and other India cities was also associated with this movement.
Macroeconomics- Movie Location
This will be used as part of your Personal Professional Portfolio once graded.
Objective:
Prepare a presentation or a paper using research, basic comparative analysis, data organization and application of economic information. You will make an informed assessment of an economic climate outside of the United States to accomplish an entertainment industry objective.
Introduction to AI for Nonprofits with Tapp NetworkTechSoup
Dive into the world of AI! Experts Jon Hill and Tareq Monaur will guide you through AI's role in enhancing nonprofit websites and basic marketing strategies, making it easy to understand and apply.
Managing Social Science Data from the Arctic with ELOKA, ACADIS, NSIDC, and (Insert Many Other Acronyms Here!)
1. Managing Social Science Data from the Arctic with
ELOKA, ACADIS, NSIDC, and (Insert Many Other
Acronyms Here!)
Colleen Strawhacker, Peter Pulsifer, and Shari Gearheard
cstrawhacker@gmail.com
National Snow and Ice Data Center, University of Colorado
Presented for the GHEA Workshop
November 4th – 6th, 2013
2. Big Data, Cyberinfrastructure, other “techy”
terms here
Major movement to working
with “big data”
The “democratization of
science”
How do we make the most of
using these data for analysis
at different scales?
How do we ensure that data
are preserved and curated
for the future?
4. The National Snow and Ice Data Center
Creates tools
for data
access
Performs
scientific
research
Educates
the public
about the
cryosphere
Supports
data users
Manages and
distributes
scientific data
Supports local
and traditional
knowledge
5. NSIDC: An overview5
ACADIS
ACADIS, a joint NSIDC
UCAR and NCAR
effort, will manage all
Arctic data for NSF
ACADIS
Advanced Cooperative
Arctic Data and Information Service
6.
7. Traditional and Local
Knowledge
Important source of data to
consider in the changing
Arctic
Different from data from the
physical sciences… how do
we manage, preserve, curate
it?
What about the
considerations of the
community whose
knowledge we are working
with?
Timothy Allen, BBC
12. Technology Preservation
“Uggi” CD
Fox Gearheard, S. 2003. When the weather is uggianaqtuq: Inuit
observations of environmental change. Boulder, Colorado USA:
University of Colorado Geography Department Cartography Lab.
Distributed by National Snow and Ice Data Center. CD-ROM.
13.
14. The Creation of SIZONet
Concerns from the Community
What data should be made public?
Who should be able to contribute to the database?
How will the data be contextualized?
These concerns are frequently mirrored in other
ELOKA projects.
18. The Creation of the Yup’ik
Place Names Atlas
Concerns from the Community
Who should be able to add place names to database?
Who should have access to locations? Should locations
be hidden?
Where should the database infrastructure be housed?
Do these concerns sound familiar?
And yet, a different agreement and resolution are being
made to meet the wishes of the community.
19. What about Social Science Data?
Tension between having data be open access
(or, freely available to anyone who may want to analyze
it) and privacy issues
Major considerations when it comes to protecting the
locations of archaeological sites, privacy of research
subjects
NSIDC is not adequately equipped to handle these
types of data at this time – but that’s my job!
20. Working with Archaeological Data from
NABO
Partner with tDAR and NABO to get archaeological data entered into
a system that is accessible to both archaeologists and other
scientists working in the Arctic
22. Upcoming Opportunities
IASSA Panel on Data Management in Arctic Social
Science in May 2014 at the IASC in Prince George
APECS Webinar in late November 2013 in data
management for traditional and local knowledge
NSF Proposal to put these ideas into practice in 2014
IHOPE Sponsored Session at the Resilience 2014
Conference in Montpelier, France
Contact:
Colleen Strawhacker
cstrawhacker@gmail.com
Good afternoon everyone, and thank you for attending our panel. My name is Colleen Strawhacker, and I am a postdoc at the National Snow and Ice Center at the University of Colorado and you have probably seen a lot of emails from me. And I, along with my colleagues, Peter Pulsifer and Shari Gearheard, will be presenting on Managing Social Science Data from the Arctic with ELOKA, ACADIS, NSIDC and many other acronyms throughout the presentation here.So, I wanted to use this presentation to give you a background on some of the data management activities going on at the National Snow and Ice Data Center and provide some ideas on what to do with the insane amounts of data that everyone here has been talking about over the last few days.
In recent years, discourse in the sciences increasingly includes reference to data management, e-science, cyberinfrastructure, data intensive science, and big data, or insert other techy terms here. In this “fourth paradigm”, massive datasets connected through networks will power a new age of scientific discovery. Or, big large scale data analysis.The concept and practice of Citizen Science – scientific activities, carried out by nonprofessional scientists – has become mainstream within programs inside and outside of traditional scientific research environments (e.g., universities, government agencies). Something that I like the call the democratization of science, and I like NABO and GHEA have a lot of good examples of this.Concurrently, social networking technology has transformed how individuals and organizations with Internet access interact and share information and knowledge. We now see a convergence of these technical and social movements with the result being a socio-technical system that allows a broad range of different people to engage in research at scales ranging from the microscopic to the cosmic.Which leads to the questions:How do we make the most of using these data for large-scale analysis?How do we ensure that data are preserved and curated for the future?All of these aspects are why our current thrust toward cyberinfrastructure and visualization is so important.
Unfortunately, these data and their essential metadata are lost in many different ways and, like Tom points out yesterday, there are little bits and pieces of the problems with certain parts of our data that having the actual data collector there is usually best, but the metadata can help to solve that problem if the investigator cannot be there.
one of the first data management systems created by the NSIDC is ACADIS, or the Advanced Cooperative Arctic Data and Information Service. This data management system was created primarily to house physical science data from the Arctic, including measures like sea ice thickness and extent, imagery of the Arctic and Antarctic.You can see from this chart what kinds of data typically go into this system, such as ecological data, MODIS and Landsat imagery, field data observations, etc.
Here is a screen shot of where you can access ACADIS and some different ways you can browse the data, either geographically or by PI, or discipline, etc.So this system is a really excellent system for managing data from the Arctic and Antarctic and it’s the place where most people funded by the National Science Foundation in Polar Programs are managing and curating their data. Our data center, however, has realized in recent years that supporting and maintaining data gained from traditional knowledge and the social sciences provides many different challenges that ACADIS is not equipped to deal with. And you can see from the talks, ranging from Seth in the Faroes, Jen in Mozambique, Megan in Iceland – that these data are very important to understanding how the local system is operating sustainably or unsustainably.
For millennia, Indigenous Peoples of the world have been observing their environment, sharing information through social networks, establishing theories of how the world works, and using those theories to guide practice. Although different from Western Science, these ways of knowing and being offer valuable sources of knowledge for knowledge creators and others.The Arctic has been home to Indigenous Peoples for many generations. Indigenous Peoples have carved a productive, vital culture and knowledge system, yet until recently, the scientific community working in the Arctic has largely overlooked Indigenous local observations and knowledge. While there is still much room for improvement today, Indigenous Peoples are increasingly being acknowledged as investigators, partners, and collaborators, and their local knowledge and observations are being documented for use in Arctic research and policy development. This increased recognition is happening within the context of the Data Intensive Science, broader social media movements, and improved access to the Internet through mobile technologies. Indigenous people around the world are engaging in these emerging paradigms. Indigenous communities and organizations, however, are facing new challenges with respect to establishing models of engagement that are considered ethical, culturally appropriate, supportive of community goals, and achievable within the local context.A Data Intensive Science model envisions a high level of interaction among researchers facilitated by information technology. This model supports easy search, acquisition and use of data and information while using a globally based collaborative infrastructure This model of science will also see innovative analyses using scalable, widely-accessible and accepted tools.
These partnerships have resulted in the development of a number of products based on the knowledge of Indigenous partners. Here we provide a small subset of these examples from Alaska and Canada interms of the opportunities afforded and issues raised by using digital technologies for sharing Indigenous knowledge and observations, enhancing culture, and supporting education and training initiatives.
In addition to the telling and documentation of oral histories, ELOKA is also very much a data management system, In that we are concerned about the protecting technology and information against technological obsolescence. For example, this Uggi CD, created by my co-author Shari Gearheard for her dissertation on inuit observations on environmental change was created in 2003. This CD was Quite popular in the past – you could order online from the National Snow and Ice Data Center – and was actually one of NSIDC’s top sellers. The CD, however, no longer works on most computers, including mine here. It does, however, work on a very outdated Mac that was dug out of the technological archives at the University of Colorado – so one laptop that we have at our data center - and we are currently working to ensure that this CD can be accessible again in the future.
Second, however, was providing a system in which data could be directly collected and recorded, which resulted in the creation of SIZOnet. Members of several Alaskan coastal communities worked with sea ice geophysicists and other researchers from the University of Alaska Fairbanks to develop a digital collection of observations of sea ice, weather, and wildlife over many years. ELOKA engaged by developing a web-accessible site that would allow community members, researchers, or anyone else interested to access the information online. Developing the application required extensive consultation between all partners involved in this project.
Community members were interested in broadly sharing information but were clear that not all information should be made public – some information should be restricted to members of a particular community, specifically the raw transcripts where personal references are made and sensitive sites are identified. University-based researchers were interested in establishing a systematic record of observations made, however to avoid inappropriately transforming the information, the form of the database was co-developed with the communities involved. Some information was appropriate for use in a database, while others were more appropriately left as narrative. Technology was developed to establish access rules that would allow for sharing while maintaining some level of control over who could obtain the data. While technology developed through dialogue and negotiation reduces the likelihood of knowledge de-contextualization, the model is constantly evolving.
To encourage what the communities see as responsible use of the application, a “Use Agreement” was developed for ELOKA. Users from outside of the community must accept the terms of this agreement to access the information. While there is no expectation that this agreement will be applied using legal tools, the team agreed that a normative approach would improve the probability of responsible use. At present, tools to include photographs, maps, and video are being implemented to provide more context for the data collected.
Another example is the Yupik Environmental Knowledge Project and Atlas. Over the last ten years, the Calista Elders Council (CEC) has worked with elders from communities in Alaska to document Yup'ik place names. The result was the documentation of more than five thousand Indigenous place names that are culturally significant and provide important knowledge of the past and present environment. The communities were interested in sharing these place names amongst themselves and with others. While many books have been published to share place names, communities recognize the broad reach of the Internet and social media, and they frequently desire to be part of these movements, including research-oriented movements such as Data Intensive Science. While the map of place names is an important knowledge artifact, stories and other knowledge of these places are also critical from the perspective of community members.
To provide this contextual information, two websites were developed. One provides extensive narrative and accompanying photographs and maps, while the other website presents place names using an interactive map that associates places with related multimedia (e.g., audio clips, video, written stories). While technical developments are an important part of establishing an information system that is ethically and culturally appropriate, an important component has been missing. The ability for community members to directly contribute place names and related information or media is seen as critically important in terms of maintaining the application over time and engaging youth members.
To this end, a training and visioning workshop was held in September 2013 in Anchorage and Bethel Alaska. During this meeting, staff from the Calista Elders Council and members of partner communities, including college students, were trained on how to add new content to the involved place name atlas. This workshop also included substantial discussion as to how the development of the atlas should proceed. Who should have the ability to add names? Should the website be completely open or moderated in some way? Related to this decision, whose knowledge counts? If there are multiple place names or versions of a narrative, who decides on what is correct, or does a decision even need to be made? How is community membership defined? Should some place names or narratives be hidden from public view, and if yes, who does get access? How can we use the technology as a platform to promote interaction between youth (who may be more adept as using the tools) and Elders (who have more extensive knowledge)? When the expertise exists, should the application be physically moved from university infrastructure to the local community?Does this sound familiar? Yes, the dialogue is just like the creation of SIZO net, and yet, different agreements and resolutions were made to ensure the data Were preserved and accessible in a way that benefitted the community.
Like the data from traditional knowledge, social science data is complicated to preserve and curate. There is a tension between having data be open access and freely available and privacy, so we face many of the same issues that ELOKA has, in managing data from traditional sources, but social science data is still quite a bit different.For instance, ACADIS sometimes gets spreadsheets full of data of interviews of human subjects, etc., and individuals in small villages throughout the Arctic can be easily identified, if the spreadsheet is not adequately coded. Also, the protection of archaeological sites is both essential to understanding the context of the data but also essential to keep private to protect the sites from looting.At this point, there is a gap in our capabilities in data management at NSIDC – we do data management for the physical sciences and traditional and local knowledge very well, but we need to figure out how to best manage social science data at the Center, and that will be my job over the next 2 years.
For most of NABO’s datasets, however, tDAR, or the Digital Archaeological Record, is going to be the best place to put the data as they already manage archaeological data very well. They can adequately preserve context and know the important metadata entries for archaeological data. They also have systems in place to hide archaeological site locations, standardize metadata forms and standards, and find data by PI, project, and geographically.But, from what we have seen from all of the presentations over the past 2 days, that NABO and GHEA collaborators has a lot of other types of data – historic documents, Icelandic sagas, tephra – and many of these data sources will not be appropriate for a data management systems that specializes in archaeology.So, what do we do?
One idea is to use The Arctic Data Explorer, or create a similar website, may be one option to ensure that all of the highly variable datasets that NABO has can work across multiple data management systems. So, right now the Arctic data explorer is set crawl all of these different sources of data, so if you search for a keyword, all of these websites will be searched, so you do not have to go to each individual data management system to find all of the data that you needOne idea is to put the data where they are appropriate – physical science data, like tephras, in ACADIS, archaeological data in tDAR, Icelandic sagas in ELOKA, but to ensure that they are tagged the same thing – NABO may be a good one, so someone can search for it and find all NABO data. Or, perhaps we create an entirely new system all together to figure out how the best way to manage such a diverse and large source of data