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The%20Chandra%20Bibliography%20Database

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Title: The%20Chandra%20Bibliography%20Database


1
The Chandra Bibliography Database
  • Arnold Rots, Sherry Winkelman,Sarah Blecksmith,
    John Bright
  • Chandra Data Archive Operations Group, CXC/SAO
  • Stéphane Paltani
  • Observatoire de Marseille

2
Summary
  • Existing capability
  • Identifiers and automatic linking
  • Extension of the database
  • Attributes
  • Database design
  • Database maintenance
  • Services
  • Conclusion and coming attractions
  • This presentation is adapted from a paper given
    at ADASS XIIIPages 9-13 are less relevant and
    provided FYI onlyThe interface on pages 15, 16
    is an old version, provided for illustrative
    purposes only please try the prerelease, using
    the URL on page 18

3
Existing Capability
  • On the part of the archive
  • Links from datasets (observations) to articles in
    the ADS
  • Scattered links to some specific articles
  • On the part of the ADS
  • Links from articles (bibcodes) to datasets in
    data center archives
  • General project tags
  • This is very valuable, but also very
    labor-intensive

4
Existing Capability
5
Identifiers and Automatic Linking
  • The ADS, the data centers, and US journal editors
    have reached an agreement that will enable
    authors to insert these links directly in a
    manuscript
  • Central to such linking are IVOA-compliant
    dataset identifiers
  • Namespace ivo
  • Authority Id ADS
  • Data collection
  • Dataset
  • ivo//ADS/Sa.CXO214 ivo//ADS/Sa.CXOM31mosa
    ic
  • We will provide services that will enable users
    to insert these IDs

6
Extension of the Database
  • Originally, the database contained only journal
    articles and conference proceeding papers that
    can unambiguously be connected with specific
    observations, plus an amorphous collection of
    papers that are Chandra-related
  • Extension of subject categorization
  • Referring to specific observations
  • Referring to published results
  • Predicting Chandra results
  • Referring to instrumentation, software, or
    operations
  • Other
  • Inclusion of all other types of publications
    (except preprints!)

7
Attributes
  • Subject
  • Observations, instruments, software, operations
  • Kind of publication
  • Book, journal, proceedings, thesis, circular,
    review, newsletter, internal
  • Type of publication
  • Article, abstract, memo, data, erratum, article
    (abstract only available), title only, electronic
  • Number of citations
  • Keywords (standard ApJ as well as custom)
  • A variety of other items
  • Date of publication, refereed or not, etc.

8
Database Design
1
0
1
1
BibTable
ObsId
Subjects
1
1
1
1
1
1
Observation Catalog
0
0
Datasets
Keywords
1
0,1
1
1
URLs
Proposals
1
1
DatasetObsIds
Std Keywords
9
Database Maintenance
  • Management of new entries through a dedicated
    database
  • Automatic filling of BibWork
  • Attributes filled in through GUI
  • Migrate entries to BibTable upon completion
  • The Datasets and DatasetObsIds table are common
    with the main database
  • Automatic updating of number of citations
  • Automatic check on validity of bibcodes

BibWork
Datasets
ObsId
DatasetObsIds
10
Database Maintenance Interface
Filling the database
11
Database Maintenance Interface
Checking the paper
12
Database Maintenance Interface
Set attributes
13
Database Maintenance Interface
Establish proposal links
14
Services
  • Exchange of information with ADS harvesting of
    Bibcode Dataset Identifier pairs in both
    directions
  • Provide access to datasets through either a
    Dataset Identifier or a Bibcode
  • Provide information to ADS on Bibcodes that are
    not related to specific observations
  • Provide access to publications through queries
    from our archive see next page
    and http//cxc.harvard.edu/cgi-gen/cda/bibliogra
    phy.cgi
  • Derive metrics through queries (standardized as
    well as custom see Paul Greens presentation)

15
Services
Literature search from the archive (shown here is
an old version)
16
Services
  • (Previous page)
  • A simple query example find all publications
    related to Chandra Crab observations
  • This renders 4 articles be aware that there may
    be more (e.g., meeting abstracts!) that could not
    be traced to specific observations
  • The bibcodes link to the abstracts in the ADS
  • (This page)
  • The link to the ADS provides more details on all
    four papers

17
Database Metrics (Oct 2003)
Category All Articles Referee d only
1999 2000 2001 2002 2003 Total No. Cit. Total No. Cit.
Observations 53 284 485 485 352 1659 5639 712 5597
Refer to obs. 9 94 333 499 322 1257 5300 897 5231
Instr., etc. 34 141 124 69 18 386 1362 354 1355
Predict result 11 67 21 14 21 135 306 22 296
Unclassified 15 90 70 29 40 244 663 118 650
Total 122 676 1033 1097 753 3681 13270 2103 13129
Reviewed 1011 2507 2735 2758 1859 10870
18
Conclusion
  • We have developed a comprehensive database that
    is capable of tracking all mission-related
    publications and preserving all relevant
    information
  • Added to this are a database and GUI that make
    maintenance (i.e., data entry) as painless as
    possible
  • Services include cross-linking with the ADS, a
    powerful literature search from the Chandra
    archive, and metrics
  • The entire package is reasonably mission
    independent and we are happy to provide it to
    other data centers
  • Try the new interface at http//cxc.harvard.edu/
    cgi-gen/cda/bibliography.cgi

19
Coming Attractions
  • FITS keyword database an interactive web-based
    tool that allows users to look up the meaning
    and use of all keywords used in CXC FITS files,
    and to construct compliant headers
  • Special Requests a web-based tool that allows
    users to make special data requests, backed up
    by a database that tracks the status of these
    requests
  • Request for previous data versions
  • Request for special processing
  • Request for data on physical medium
  • Request for custom database query
  • Anything else (reasonable)
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