Making dynamic data citable approaches to data citation within as a rda working group
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Making Dynamic Data Citable: Approaches to Data Citation within AS A RDA Working Group. Outline. Scientific method and data, Data citation principles RDA Working Groups Working Group on Data Citation of Dynamic Data Why are current solutions insufficient? How to make data citable?

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Making dynamic data citable approaches to data citation within as a rda working group

Making Dynamic Data Citable: Approaches to Data Citation within AS ARDA Working Group


Outline

Outline

Scientific method and data, Data citation principles

RDA Working Groups

Working Group on Data Citation of Dynamic Data

Why are current solutions insufficient?

How to make data citable?

Some initial case studies

What are the next steps?

Summary


Science is based on evidence

science is based on evidence

  • Hypothetico-deductive model

Reject hypothesis

Failure

This part is usually done by other scientists

It is critical that all necessary information for testing predictions are available!

Thus we need to know what data is used -> Data citation


Principles of data citation

Principles of Data citation

Data is key enabler

Evidence in empirical studies

Basis for comparing models, approaches

Re-use (investment)

Aggregation (meta-studies)

Joint Declarationof Data CitationPrinciples


Data citation principles

Data Citation Principles

Importance

Data should be considered legitimate, citable products of research. Data citations should be accorded the same importance in the scholarly record as citations of other research objects, such as publications

Credit and Attribution

Data citations should facilitate giving scholarly credit and normative and legal attribution to all contributors to the data, recognizing that a single style or mechanism of attribution may not be applicable to all data

Evidence

In scholarly literature, whenever and wherever a claim relies upon data, the corresponding data should be cited

Unique Identification

A data citation should include a persistent method for identification that is machine actionable, globally unique, and widely used by a community

Access

Data citations should facilitate access to the data themselves and to such associated metadata, documentation, code, and other materials, as are necessary for both humans and machines to make informed use of the referenced data

Persistence

Unique identifiers, and metadata describing the data, and its disposition, should persist --  even beyond the lifespan of the data they describe

Specificity and Verifiability 

Data citations should facilitate identification of, access to, and verification of the specific data that support a claim.  Citations or citation metadata should include information about provenance and fixity sufficient to facilitate verifying that the specific time slice, version and/or granular portion of data retrieved subsequently is the same as was originally cited

Interoperability and flexibility

Data citation methods should be sufficiently flexible to accommodate the variant practices among communities, but should not differ so much that they compromise interoperability of data citation practices across communities

(Paraphrased)

Data citations should have the same importance as citations to other publications

Citation must be flexible to different practices, but be interoperable

Scholarly credit and normative legal attribution

When claim relies upon data, the data must be cited

Citations should facilitate access, identification, and verification of data

Unique identifiers should persistent – even beyond the lifetime of the data

Citation must have persistent, machine readable identification

Citations should facilitate access to data, metadata, documentation, code, etc., to make use of data possible

  • https://www.force11.org/datacitation


Data citation is a complex issue

-> Data citation is a complex issue

Scientific method and data, Data citation principles

RDA Working Groups

Working Group on Data Citation of Dynamic Data

Why are current solutions insufficient?

How to make data citable?

Some initial case studies

What are the next steps?

Summary


Research data alliance

Research Data Alliance

RDA Working Groups

  • Provide case statement

  • 18 months, “picking low-hanging fruit”

  • Concrete solutions

    • Data Citation WG

    • Data Description Registry Interoperability

    • Data Foundation and Terminology WG

    • Data Type Registries WG

    • Metadata Standards Directory Working Group

    • PID Information Types WG

    • Practical Policy WG

    • Standardisation of Data Categories and Codes WG

    • Wheat Data Interoperability WG


Only 18 months practical result

Only 18 months – practical result

Scientific method and data, Data citation principles

RDA Working Groups

Working Group on Data Citation of Dynamic Data

Why are current solutions insufficient?

How to make data citable?

Some initial case studies

What are the next steps?

Summary


Focus specificity and verifiability

FOCUS: Specificityand verifiability

  • Data Citation Principles

  • Specificity and Verifiability

FULL TEXT:

  • Data citations should facilitate identification of, access to, and verification of the specific data that support a claim.  Citations or citation metadata should include information about provenance and fixity sufficient to facilitate verifying that the specific time slice, version and/or granular portion of data retrieved subsequently is the same as was originally cited


Dual nature of citation

Dual nature of Citation

  • Citations are used to provide credit for the information originator

  • They should also provide access to the original object (data in this case)

Data set

Data Provider

Data

Credit

Data user

Article

Citation database

Data set

Subset version

PID

Data user

Article

Scientist


Data citation current approaches

Data Citation – Current Approaches

Persistent Identifier (PID) e.g. DOI, URI, ARK, …currently provided for

entire data sets, copies of subsets

static data, sometimes releases of versions

cited in their entirety with textual description of subsetting

This is insufficient in many settings

not machine-actionable

not scalable for large data sets

insufficient support for data that changes

insufficient support for arbitrary subsets (rows/columns)


Examples of dynamic data citation needs

EXAMPLES OF DYNAMIC DATA CITATION NEEDS

Arbitrary subsetting

Changing datasets

Growing datasets

These are surprisingly common in e.g. Earth System Sciences and many social fields


Data citation requirements

Data Citation - Requirements

Need means to support citation of

arbitrary subsets of data

(rows/columns, time sequences, …)

when data is changing

(corrections, additions,…)

stable across technology changes

(e.g. migration to new database)

machine-actionable

(not just machine-readable, definitely not just human-readable and interpretable)

scalable to very large datasets


Suggestions to improve the situatio n

… suggestions to improve the situation

Scientific method and data, Data citation principles

RDA Working Groups

Working Group on Data Citation of Dynamic Data

Why are current solutions insufficient?

How to make data citable?

Some initial case studies

What are the next steps?

Summary


Rda wg data citation

RDA WG Data Citation

  • WG officially endorsed in March 2014

    • Concentrating on the problems of dynamic (changing) datasets

    • Focus!

    • Liaise with other WGs on attribution, metadata, …

    • Liaise with other initiatives on data citation (CODATA, DataCite, Force11, …)

  • Cooperation

    • periodic WG teleconferences

    • meetings every 6 months at RDA plenaries

    • special workshops on specific pilots


Rda wg data citation1

RDA WG Data Citation

Approach

  • Conceptual solution devised in initial discussions

  • Identifying pilot settings:

    • variety in domains

    • variety in types of data (SQL, XML, CSV, RDF, nosql, …)

    • variety in dynamics, size, usage

  • Pilot data centres to test the approach

  • Starting with conceptual evaluation studying fitness, impact, scalability, changes required, …

  • Followed by actual pilot implementation


Data citation approach

Data Citation APPROACH

Data Citation: Data + means-of-access

  • Data  time-stamped & versioned

  • Access queryassigned a PID, enhancedwith

    2.1 time-stamp: forre-executionagainstversioned DB

    2.3unique-sort: processesaresequence-based, datastoresmostlyset-based

    2.3result-set hash: verifyingidentity/correctness

  • Stableacrossdatasourcemigrations (e.g. diff. DBMS), scalable, machine-actionable

    Stefan Pröll and Andreas Rauber. Scalable Data Citation in Dynamic Large Databases: Model and Reference Implementation. In IEEE International Conference on Big Data 2013 (IEEE BigData 2013), October 6-9 2013, Santa Clara, CA, USA. 2013. IEEE.http://www.ifs.tuwien.ac.at/~andi/publications/pdf/pro_ieeebigdata13.pdf


Making dynamic data citable approaches to data citation within as a rda working group

Data Citation – Deployment

  • Researcher usesworkbenchtoidentifysubsetofdata

  • Upon executingselection („download“) usergets

    • Data (package, access API, …)

    • PID (e.g. DOI) (Query is time-stampedandstored)

    • Hash valuecomputedoverthedataforlocalstorage

    • Recommended citationtext (e.g. BibTeX)

  • Upon activating PID associatedwith a datacitation

    • Query isretirevedfromthearchive

    • Query isre-executedagainst time-stampedandversioned DB

    • Results as above are returned

Data Centre

Data selection

Researcher

Workbench

Data subset

Hash storage

PID

Citation

PID, Citation

Article

PID

Query storage

PID, CItation

Data subset

Researcher

The persistent identifier can be e.g.

DOI with extension for the search PID

DOI + PID (two separate indentifiers)

Citation database


Who wants to try this

… who wants to try this?

Scientific method and data, Data citation principles

RDA Working Groups

Working Group on Data Citation of Dynamic Data

Why are current solutions insufficient?

How to make data citable?

Some initial case studies

What are the next steps?

Summary


Making dynamic data citable approaches to data citation within as a rda working group

Data Citation – Pilots

  • LNEC: Infrastructure Sensor Network (dams, bridges)

  • VAMDC - Atomic and Molecular Data

  • SCOR/IODE/MBLWHOI Library Data Publication Project: Oceanographic datasets

  • Million Song Dataset: Benchmark collection(s) in music IR

  • Earth System Grid Federation: Earth system modelling data, CMIP experiments, netcdf

  • Field Linguistics: language archive: transcriptions


Making dynamic data citable approaches to data citation within as a rda working group

Data Citation – Pilots

  • Global Biodiversity Information Facility: species occurrence records

  • DataNet Federation Consortium:Hydrology, Oceanography, Social Science, plant Biology, Engineering, Cognitive Science

  • NASA MODIS Data: remote sensing satellite data

  • NERC ECN citing dynamic monitoring dataLong-term environmental monitoring from automatic and manual recording across the UK

  • UK Butterfly Monitoring Scheme annual species metrics

  • Additional pilots joining almost on a weekly basis!http://rd-alliance.org/groups/data-citation-wg/wiki/collaboration-environments.html


Making dynamic data citable approaches to data citation within as a rda working group

Scientific method and data, Data citation principles

RDA Working Groups

Working Group on Data Citation of Dynamic Data

Why are current solutions insufficient?

How to make data citable?

Some initial case studies

What are the next steps?

Summary


Next steps

Next steps

  • Solution devised for SQL -> expand to other data types

    • pilot for CSV

    • analyze how to make XML and RDF time-stamped, versioned

  • Verify pilots conceptually

    • does it work?

    • impact on data center (size, operations, APIs, …)

    • how to integrate in workbenches?

  • Implement several pilots and verify

  • Test stability under migrations of data management systems


Join rda and working group

Join RDA and Working Group

If you are interested in joining the discussion, contributing a pilot, wish to establish a data citation solution, …

Register for the RDA WG on Data Citation:

Website:https://rd-alliance.org/working-groups/data-citation-wg.html

Mailinglist: https://rd-alliance.org/node/141/archive-post-mailinglist

Web Conferences:https://rd-alliance.org/webconference-data-citation-wg.html

List of pilots:https://rd-alliance.org/groups/data-citation-wg/wiki/collaboration-environments.html

Description of SQL pilot solution:

Stefan Pröll and Andreas Rauber. Scalable Data Citation in Dynamic Large Databases: Model and Reference Implementation. In IEEE International Conference on Big Data 2013 (IEEE BigData 2013),Santa Clara, CA, USA. 2013.http://www.ifs.tuwien.ac.at/~andi/publications/pdf/pro_ieeebigdata13.pdf


Summary

Summary

Data and process re-use as basis for data driven science

evidence

investment

efficiency

Machine-readable and –actionable data citation in large-scale and dynamic environments

Database: versioned and time-stamped

PIDs assigned to time-stamped “queries”

Need to move beyond concept of data

Process Management Plans (PMPs)

Join the RDA Working Group & Discussion!

https://rd-alliance.org/working-groups/data-citation-wg.html


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